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Web Scraping Services – Extract Large-Scale Data from the USA, UK & UAE

Get accurate, scalable web scraping services from Actowiz Solutions. Extract e-commerce, travel, real estate, finance, and social media data with 99.9% accuracy.

  • Automated, custom scrapers & APIs that turn websites into structured datasets.
  • Resilient, compliant crawling (rotation, scheduling, QA) to reduce blocks.
  • Built for scale — from hundreds to millions of pages quickly and reliably.
  • Clean outputs in JSON/CSV/Excel, delivered to S3, GCS, Azure, or SFTP.
  • 24/7 monitoring & support with alerts, retries, and health checks.
  • Global clients across North America, Europe, the Middle East & APAC (USA, UK, UAE, India, Germany, Canada, Australia, Japan, China, etc.).
Top Web Scraping & Data Intelligence Company In The USA 01

Top Countries:

USA UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia
UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia

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Why Choose Actowiz Solutions?

99.9% Accuracy

Data cleaning & validation pipelines

Scalability

From thousands to billions of records

Global Reach

USA, UK, UAE, India, Canada, Germany & 150+ more

Real-Time APIs

Plug-and-play integration

Compliance First

100% ethical and legal framework

24/7 Support

Round-the-clock expert assistance

What Can You Do With Our Web Scraping Services?

Below are the most demand-heavy industries where our services create measurable business impact.

Scraper Development 1

E-commerce & Marketplaces

E-commerce moves fast. Stay competitive by tracking prices, promotions, stock, and reviews in real time.

We extract:
  • Product names, SKUs, categories
  • Prices, discounts, historical price changes
  • Stock status and seller type
  • Ratings, reviews, images, descriptions

Popular platforms: Amazon, Walmart, Flipkart, Target, Best Buy, eBay, Alibaba

Use cases:
  • Price monitoring and dynamic repricing
  • Catalog enrichment and image sync
  • New market and SKU discovery
  • Promotion and banner analysis
Sample data output:
Product Price Rating Reviews Availability
Samsung Galaxy S24 $799 4.6★ 1,245 In Stock
Nike Air Max 2025 $149 4.8★ 872 Out of Stock
Read More
Scraper Development 1

Quick Commerce & Grocery

Q-commerce changes minute to minute. Measure basket pricing, delivery SLAs, fees, and promo banners across apps.

We extract:
  • Product, brand, pack size
  • Price, discount, fees
  • Delivery time, serviceability
  • Inventory signals and banner slots

Popular platforms: Blinkit, Zepto, Instacart, Swiggy Instamart, BigBasket, Getir

Use cases:
  • Basket price and fee benchmarking
  • Delivery SLA comparison by city
  • Assortment visibility and stockouts
  • Promo share of voice tracking
Sample data output:
Product Price Discount Delivery Availability
Amul Milk 1L $1.20 Buy 1 Get 1 15 mins In Stock
Lays Chips 200g $1.50 20% Off 12 mins Out of Stock
Read More
Scraper Development 1

Travel & Hospitality (Hotels and OTAs)

Rates and availability fluctuate constantly. Capture fares, room prices, amenities, and review trends across regions.

We extract:
  • Airline routes, fares, seat class
  • Hotel rates, amenities, availability
  • Rental car pricing and availability
  • Packages and traveler reviews

Popular platforms: Booking.com, Expedia, Skyscanner, TripAdvisor, Airbnb, MakeMyTrip

Use cases:
  • Fare comparison across carriers
  • Hotel rate parity and benchmarking
  • Real-time availability tracking
  • Package and seasonal trend analysis
Sample data output:
Route / Hotel Price Rating Reviews Availability
NYC–London (Delta) $699 Available
Marriott Downtown NYC $185 4.5★ 1,200 5 Rooms Left
Read More
Scraper Development 1

Lawyer Data Web Scraping

Law firms and legal-tech platforms depend on real-time structured legal data to stay competitive.

We extract:
  • Lawyer directories & professional profiles
  • Case details, judgments & verdicts
  • Client reviews & ratings
  • Legal service pricing insights

Popular platforms: Avvo, Justia, LegalZoom, Martindale, FindLaw, Nolo

Use cases:
  • Lawyer reputation & sentiment analysis
  • Benchmarking legal services across firms
  • Case law research & competitive intelligence
  • Lead generation for legal professionals
Sample data output:
Lawyer Name Practice Area Location Rating Platform
Sarah Johnson Family Law Los Angeles, CA 4.9★ Avvo
Mark Smith Corporate Law New York, NY 4.7★ Justia
Read More
Scraper Development 1

Real Estate

Markets move neighborhood by neighborhood. Collect listings, rents, photos, and agent data to spot opportunities.

We extract:
  • Property type, size, price, geo
  • Rent history and availability
  • Agent or owner details
  • Photos, amenities, descriptions

Popular platforms: Zillow, Realtor, RentCafe, 99acres, Bayut, MagicBricks

Use cases:
  • Rental market analysis by city
  • Investment opportunity scouting
  • Developer and broker benchmarking
  • Demand forecasting
Sample data output:
Property Price Size Location Status
2BHK Downtown LA $2,450/mo 950 sq ft Los Angeles, US Available
3BHK Dubai Marina $1,850/mo 1,100 sq ft Dubai, UAE Available
Read More
Scraper Development 1

Finance & Crypto

Markets react in seconds. Stream stock, ETF, and crypto prices with filings, fundamentals, and breaking news.

We extract:
  • Stock and ETF prices
  • Corporate filings and fundamentals
  • Crypto exchange prices and metadata
  • Market news summaries

Popular platforms: Yahoo Finance, Nasdaq, SEC EDGAR, CoinMarketCap, Investing.com

Use cases:
  • Portfolio and event tracking
  • Competitor health checks
  • Quant and research feeds
  • Risk and compliance signals
Sample data output:
Asset Price Change Market Cap
Tesla (TSLA) $725 +3.5% $720B
Bitcoin (BTC) $64,800 -2.1% $1.2T
Read More
Scraper Development 1

Jobs & Hiring Intelligence

Talent markets shift quickly. Track roles, salary ranges, skills, locations, and posted dates across boards.

We extract:
  • Job title, seniority, salary or range
  • Required skills and tech stack
  • Company, recruiter, location
  • Posted date and job type

Popular platforms: LinkedIn, Indeed, Glassdoor, Naukri, Monster

Use cases:
  • Salary benchmarking by role and city
  • Skill trend and gap analysis
  • Competitor hiring watch
  • Labor market reports
Sample data output:
Job Title Salary Skills Location Posted
Data Analyst $85K SQL, Python New York 3 days
ML Engineer €110K TensorFlow Berlin 2 days
Read More
Scraper Development 1

Mobility & Auto (Ride-hailing, Car Rental, EV)

Track surge pricing, fleet availability, dealer listings, and EV specs.

We extract:
  • Ride pricing, surge, ETA, fees
  • Car rental fleet, daily rates, policies
  • EV and used-car listings, specs, mileage
  • Dealer profiles and verification

Popular platforms: Uber, Lyft, Ola, Hertz, Avis, AutoTrader, Cars.com, Mobile.de

Use cases:
  • Surge and fee intelligence by city
  • Rental price benchmarking
  • Used-car pricing strategy
  • Dealer inventory watch
Sample data output:
Source Item Price Detail
Ride-hailing 6 km, City Center $7.80 1.3x surge
AutoTrader BMW 3 Series 2022 €35,000 12,000 km
Read More
Scraper Development 1

Grocery & Supermarkets

Weekly assortments keep shifting. Compare shelf vs promo price, club fees, and out-of-stock events by store.

We extract:
  • Product/brand/size
  • Shelf price vs promo
  • Club & delivery fees
  • Availability & substitutions

Popular platforms: Kroger, Tesco, Carrefour, Target, Walmart Grocery

Use cases:
  • Basket price tracking
  • Promo effectiveness
  • Private-label vs national brand
  • OOS detection
Sample data output:
Product Shelf Promo Club Fee Availability
Whole Milk 1L $1.59 $1.29 $0.00 In Stock
Brown Bread 400g $2.49 $0.99 Out of Stock
Read More
Scraper Development 1

Toys, Baby & Gifting

Seasonality rules this category. Track variants, bundles, age ranges, prices, and review velocity.

We extract:
  • Age range
  • Variants
  • Prices & bundles
  • Reviews
  • Stock

Popular platforms: Amazon, Smyths, FirstCry, Target

Use cases:
  • Seasonal forecasting
  • Bundle mapping
  • Safety/age compliance checks
  • Gifting trends
Sample data output:
Item Price Age Reviews Stock
Learning Blocks 100pc $24.99 3–6 yrs 1,120 In Stock
Newborn Gift Set $39.00 0–6 mo 540 Low Stock
Read More
Scraper Development 1

Electronics & Appliances

Specs drive conversion. Centralize model numbers, features, energy ratings, prices, warranty, and sellers.

We extract:
  • Model/series
  • Specs
  • Prices
  • Warranty
  • Energy ratings
  • Seller

Popular platforms: Best Buy, Croma, MediaMarkt, Newegg

Use cases:
  • Spec sheet enrichment
  • Price/margin watch
  • Launch vs clearance timing
  • Warranty mapping
Sample data output:
Model Price Spec Highlight Warranty Seller
LG 55” OLED C3 $1,199 120Hz, HDMI 2.1 2 yrs Authorized
Dyson V15 $599 Laser Slim Fluffy 2 yrs Marketplace
Read More
Scraper Development 1

Restaurants

Dining trends evolve quickly. Stay ahead by tracking menus, prices, reviews, delivery times, and customer experiences in real time.

We extract:
  • Restaurant names, cuisines, categories
  • Menu items, prices, discounts, historical price changes
  • Delivery times, availability, service coverage
  • Ratings, reviews, images, and food descriptions

Popular platforms: McDonald’s, Starbucks, Burger King, KFC, Subway, Domino’s, Pizza Hut

Use cases:
  • Competitor menu and pricing monitoring
  • Delivery performance and dynamic pricing
  • Customer sentiment and food quality analysis
  • Promotion, offers, and banner tracking
  • Discovering trending dishes and cuisines
Sample data output:
Restaurant Dish/Item Price Rating Reviews Availability
McDonald’s Big Mac $5.49 4.6★ 3,245 Available
Starbucks Caramel Latte $4.99 4.8★ 1,580 Limited Stock
Read More
Scraper Development 1

Food Delivery (Apps & Aggregators)

Restaurant listings, menus, pricing, discounts, and delivery availability change constantly. Capture real-time menu updates, pricing strategies, customer reviews, and delivery trends across regions.

We extract:
  • Restaurant details (name, cuisine type, location)
  • Menu items, prices, and discounts
  • Delivery charges & estimated delivery times
  • Ratings, reviews, and customer feedback
  • Promo codes and special offers

Popular platforms: Zomato, Swiggy, UberEats, DoorDash, Grubhub, Deliveroo

Use cases:
  • Competitor price comparison
  • Restaurant performance benchmarking
  • Tracking discount & promo trends
  • Delivery time & availability monitoring
  • Regional food demand insights
Sample data output:
Restaurant / Item Price Rating Reviews Availability
Domino’s Pizza (Large) $12.99 4.3★ 8,540 Available
McDonald’s Big Mac Meal $7.49 4.1★ 12,200 Delivery in 25 mins
Subway Veggie Delight $5.99 4.5★ 3,120 Not Available
Starbucks Iced Latte $4.50 4.6★ 9,800 Delivery in 15 mins
Read More
Scraper Development 1

Doctors & Physicians

Patients search by specialty and trust. Aggregate profiles, experience, locations, accepted insurance, and ratings.

We extract:
  • Name
  • Specialty
  • Experience
  • Locations
  • Ratings
  • Insurance accepted

Popular platforms: Healthgrades, WebMD, Practo, Zocdoc

Use cases:
  • Network adequacy
  • Provider directories
  • Patient choice tools
  • Market access mapping
Sample data output:
Doctor Specialty Rating City Insurer
Dr. R. Shah Cardiology 4.7★ Mumbai HDFC
Dr. L. Evans Pediatrics 4.5★ Austin Aetna
Read More
Scraper Development 1

Hospitals & Clinics

Coverage varies by service line. Map departments, beds, accreditations, hours, and service availability.

We extract:
  • Facility name
  • Address/geo
  • Departments
  • Beds
  • Accreditations
  • Hours

Popular platforms: WebMD Care, Healthgrades, Zocdoc, Mayo Clinic Finder, NHS (UK), Joint Commission Quality Check

Use cases:
  • Coverage heatmaps
  • Referral planning
  • Competitive service lines
  • Accreditation audits
Sample data output:
Facility Dept Beds City Status
CityCare General Cardio 48 Dubai JCI
Northview Clinic Ortho 12 Dallas
Read More
Scraper Development 1

Pharmaceuticals

Pricing and availability shift by market. Track molecules, strengths, pack sizes, approvals, and stock status.

We extract:
  • Molecule/brand
  • Strength
  • Pack size
  • Price
  • Availability
  • Reg approvals

Popular platforms: Drugs.com, FDA/EMA, pharmacy portals

Use cases:
  • Price transparency
  • Channel tracking
  • Generic vs brand mapping
  • Market entry research
Sample data output:
Drug Strength Price Pack Status
Paracetamol 500 mg ₹45 10 tabs In Stock
Ozempic 1 mg $249 Pen Limited
Read More
Scraper Development 1

Insurance

Plans are complex and changing. Compare premiums, deductibles, networks, and riders across providers.

We extract:
  • Plan name
  • Premium
  • Deductible
  • Coverage
  • Network
  • Riders

Popular platforms: PolicyBazaar, Healthcare.gov, insurer portals

Use cases:
  • Price/benefit comparison
  • Coverage gaps
  • Network breadth
  • Lead-gen enrichment
Sample data output:
Plan Premium Deductible Coverage Network
Bronze HMO $219 $6,000 Basic Narrow
Gold PPO $418 $750 Extended Wide
Read More
Scraper Development 1

Cryptocurrency & Blockchain

Exchanges never sleep. Watch pair prices, volumes, fees, and token metadata to power trading and research.

We extract:
  • Pair
  • Spot/volume
  • OHLC
  • Exchange fees
  • Contract address
  • Supply

Popular platforms: Binance, Coinbase, Kraken, CoinGecko

Use cases:
  • Arbitrage tracking
  • Listing alerts
  • Risk flags
  • Quant feeds
Sample data output:
Pair Exchange Price 24h Vol Fee
BTC/USDT Binance $64,800 $22B 0.1%
ETH/USD Coinbase $3,220 $3.5B 0.6%
Read More
Scraper Development 1

News & Media

Signals break first in headlines. Collect publishers, URLs, timestamps, topics, and social counts for monitoring.

We extract:
  • Headlines
  • URLs
  • Authors
  • Topics
  • Publish time
  • Social counts

Popular platforms: News sites, RSS, Google News, Bing News

Use cases:
  • Brand monitoring
  • Competitor press
  • Trend discovery
  • Content curation
Sample data output:
Headline Source Time Topic
Retail Prices Fall 2% RetailDaily 10:02 Inflation
Read More
Scraper Development 1

OTT Streaming

Catalogs and plans vary by region. Compare title availability, plan pricing, genres, and audience reviews.

We extract:
  • Title
  • Season/episode
  • Genre
  • Plan availability
  • Price
  • Reviews

Popular platforms: Netflix, Prime Video, Disney+, Hulu

Use cases:
  • Content gap analysis
  • Plan benchmarking
  • Review trends
  • Regional catalogs
Sample data output:
Title Plan Price Rating Region
Planet X S1 Standard $15.49 4.6★ US
Movie Y Basic $7.99 4.2★ UK
Read More
Scraper Development 1

EV & Auto Marketplaces

Vehicle supply moves fast. Scrape listings, specs, mileage, battery range, dealer status, and price drops.

We extract:
  • Make/model/trim
  • Year
  • Mileage
  • Battery/range (EV)
  • Price
  • Dealer

Popular platforms: AutoTrader, Cars.com, Mobile.de, CarGurus

Use cases:
  • Used-car pricing
  • EV range/price study
  • Dealer performance
  • Residuals
Sample data output:
Vehicle Price Mileage Range Dealer
Tesla Model 3 2022 $27,900 21,300 358 mi EV World
Audi A4 2021 €23,500 45,000 Autohaus
Read More
Scraper Development 1

Ride-Hailing & Last-Mile Delivery

City dynamics change all day. Monitor base fare, surge, ETA, category mix, and fees across zones.

We extract:
  • Base + surge
  • ETA
  • Category
  • Fees
  • Geo

Popular platforms: Uber, Lyft, Ola, DoorDash, Swiggy Genie

Use cases:
  • City pricing maps
  • Surge windows
  • Fee transparency
  • Ops planning
Sample data output:
Trip Price Surge ETA Fee
6 km (CBD) $7.80 1.3x 5m $1.20
9 km (Airport) $12.40 1.0x 7m $1.80
Read More
Scraper Development 1

Store Locator / POI Scraping

Brands update locations often. Validate dealer presence, service coverage, contacts, and opening times at scale.

We extract:
  • Name
  • Category
  • Address/geo
  • Hours
  • Phone
  • Services

Popular platforms: Brand store locators, Google Maps, Apple Maps

Use cases:
  • Coverage maps
  • Territory planning
  • Dealer audits
  • Lead gen
Sample data output:
Store Category City Hours
ActoMart – East Supermarket Phoenix 9–21
AutoHub South Dealer Austin 10–19
Read More
Scraper Development 1

Event & Ticketing

Demand peaks by artist and game. Capture price tiers, seat maps, sell-through, and resale activity.

We extract:
  • Event
  • Venue
  • Date/time
  • Price tiers
  • Availability
  • Resale stats

Popular platforms: Ticketmaster, StubHub, BookMyShow, Eventbrite

Use cases:
  • Dynamic pricing
  • Sell-through rates
  • Venue benchmarking
  • Season planning
Sample data output:
Event Tier Price Availability Venue
Coldplay – Tour VIP $350 80% O2 Arena
League Final Cat B $120 40% City Stadium
Read More
Scraper Development 1

Agriculture & Commodities

Markets shift with harvests. Track crop prices, trade flows, yield trends, and regional supply-demand signals.

We extract:
  • Commodity
  • Grade
  • Unit
  • Price
  • Market
  • Date

Popular platforms: AgriWatch, NCDEX, Agmarknet, FAO, ICRISAT, APEDA

Use cases:
  • Price dashboards
  • Procurement planning
  • Regional arbitrage
  • Trend tracking
Sample data output:
Commodity Grade Unit Price Market
Wheat A kg ₹24.5 Indore
Soybean B kg ₹51.2 Nagpur
Read More
Scraper Development 1

Education & EdTech

Learners compare options. Aggregate courses, providers, duration, fees, delivery mode, and ratings.

We extract:
  • Course title
  • Provider
  • Duration
  • Fees
  • Mode
  • Reviews

Popular platforms: Coursera, Udemy, edX, Khan Academy, Skillshare, FutureLearn

Use cases:
  • Catalog aggregation
  • Price/length benchmarking
  • Skill-gap mapping
  • Lead gen
Sample data output:
Course Provider Fee Mode
Data Science Bootcamp Coursera $79 Online
MBA Marketing Uni X $9,500 On-campus
Read More
Scraper Development 1

Sports & Fantasy

Selection needs live context. Pull fixtures, player stats, injuries, odds movement, and fantasy pricing.

We extract:
  • Fixture
  • Team
  • Odds
  • Player stats
  • Injury notes
  • Fantasy price

Popular platforms: ESPN, Opta Sports, Cricbuzz, FanDuel / Fantasy Leagues, SofaScore, Flashscore

Use cases:
  • Fantasy projections
  • Lineup alerts
  • Odds movements
  • Content automation
Sample data output:
Player Stat Value Match
R. Sharma Runs 68 IND vs AUS
S. Smith Fantasy Price 9.5
Read More
Scraper Development 1

Beauty & Cosmetics

Shades and variants change fast. Monitor shade coverage, ingredient flags, rank visibility, and price parity.

We extract:
  • SKU/shade
  • Finish
  • Ingredients
  • Price
  • Rank
  • Reviews

Popular platforms: Sephora, Nykaa, Ulta Beauty, Amazon Beauty, Myntra Beauty, Purplle

Use cases:
  • Shade coverage
  • Rank/visibility
  • Price parity
  • Ingredient flags
Sample data output:
Product Shade Price Rank Reviews
Matte Lip 16H 08 Rose $12.99 4 1,240
Serum 2% BHA $10.50 12 640
Read More
Scraper Development 1

Luxury Goods

Brand control is critical. Compare boutique vs marketplace price, stock visibility, and grey-market signals.

We extract:
  • Model
  • Boutique price
  • Marketplace price
  • Stock
  • Location

Popular platforms: Brand boutiques, Farfetch, SSENSE, eBay Authenticated, Net-a-Porter, The RealReal

Use cases:
  • Grey-market watch
  • MAP enforcement
  • Regional price gaps
  • Drop day tracking
Sample data output:
Item Boutique Market Stock Region
GG Marmont Mini $1,290 $1,180 Low EU
Speedy 25 $1,760 $1,880 In Stock US
Read More
Scraper Development 1

QSR / Fast Food Pricing

Menus shift by location and time. Benchmark item prices, combos, fees, and delivery vs pickup performance.

We extract:
  • Item
  • Size
  • Price
  • Combo/offer
  • Fees
  • ETA

Popular platforms: McDonald’s, KFC, Domino’s, Burger King apps/aggregators

Use cases:
  • Price parity
  • Offer mapping
  • Fee transparency
  • Delivery vs pickup
Sample data output:
Item Price Offer Fee ETA
Cheeseburger $2.29 2 for $4 $1.49 18m
Large Fries $2.59 $1.49 18m
Read More
Scraper Development 1

Liquor Delivery (Apps & Marketplaces)

Liquor availability, pricing, and delivery timelines vary widely across regions. Capture product-level insights, discounts, reviews, and delivery trends in real time.

We extract:
  • Liquor brands, product categories, and SKUs
  • Bottle sizes, prices, and discounts
  • Delivery charges & estimated delivery times
  • Ratings, reviews, and customer feedback
  • Availability by location or store

Popular platforms: Drizly, Saucey, Minibar Delivery, BevMo, Total Wine, Amazon Fresh

Use cases:
  • Competitor liquor pricing comparison
  • Seasonal demand and festive trend tracking
  • Benchmarking discounts and promotions
  • Regional liquor consumption insights
Sample data output:
Product / Brand Price Rating Reviews Availability
Jack Daniel’s Whiskey 750ml $29.99 4.7★ 5,430 Delivery in 45 mins
Heineken 6-Pack $8.49 4.3★ 2,910 Available
Absolut Vodka 1L $21.99 4.6★ 3,120 Out of Stock
Corona Extra 12-Pack $13.99 4.5★ 4,800 Delivery in 30 mins
Read More
Scraper Development 1

Dating Apps (Profiles & Trends)

Dating app profiles, preferences, and engagement metrics shift constantly. Capture user activity insights, profile trends, pricing models, and feature usage across regions.

We extract:
  • User profiles (age, gender, location, preferences)
  • Profile activity (likes, matches, swipes)
  • Subscription plans & pricing
  • Ratings, reviews, and feedback
  • In-app features usage & popularity

Popular platforms: Tinder, Hinge, OkCupid, Match.com, Plenty of Fish

Use cases:
  • Competitor feature benchmarking
  • Pricing model & subscription analysis
  • Regional dating preferences & demand trends
  • Match success rate & engagement analytics
  • Review and feedback sentiment tracking
Sample data output:
App / Feature Price Rating Reviews Availability
Tinder Plus (1 Month) $9.99 4.2★ 150,200 Available Worldwide
Bumble Premium (1 Week) $6.99 4.5★ 120,500 Region-Limited
Hinge Preferred (Monthly) $14.99 4.3★ 89,320 Available
OkCupid Basic (Free Tier) $0.00 4.0★ 240,000 Available
Read More

How We Deliver Data

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Real-Time APIs

Live, structured feeds

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Batch Data Feeds

Daily, weekly, monthly

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Custom Dashboards

Visual KPIs for managers

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Cloud Storage Integration

AWS, GCP, Azure

FAQs

Web scraping is the process of extracting structured data from websites using automated crawlers or APIs. Actowiz Solutions delivers clean, ready-to-use datasets in formats like JSON, CSV, or Excel.
Yes, when done responsibly. We follow robots.txt, comply with GDPR/CCPA, and ensure ethical scraping practices. Our focus is on publicly available data only.
E-commerce, quick commerce, travel, hospitality, healthcare, real estate, automotive, finance, and more. We support 30+ industries across USA, UK, UAE, India, Germany, and Canada.
Our scrapers deliver up to 99% accuracy by using real-time validation, anti-blocking techniques, and quality assurance checks.
JSON, CSV, Excel, XML, or direct integration with BI tools (Tableau, Power BI), data warehouses (Snowflake, BigQuery, Redshift), and CRMs like Salesforce.
Absolutely. We support millions of URLs daily and offer enterprise-grade infrastructure with global coverage in 150+ countries.
We use smart IP rotation, headless browsers, and AI-based anti-blocking strategies to ensure uninterrupted data delivery.
Along with custom projects, we offer Web Scraping APIs for popular platforms like Amazon, Walmart, Flipkart, Swiggy, Uber Eats, Booking.com, and more.
Businesses can request a free demo project or trial API to validate results before scaling.
With 500+ enterprise projects delivered, 24/7 support, global coverage, and proven expertise, Actowiz is trusted by leading companies worldwide.
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Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 3,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

3,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
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Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

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7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
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200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
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9.2M
Automated Workflows
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270+ TB
Data Transferred
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380M+
Pages Crawled Weekly
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AI Solutions Engineered
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GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
🎯 Product Matching 🏷️ Attribute Tagging 📝 Content Optimization 💬 Sentiment Analysis 📊 Prompt-Based Reporting

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We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

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Blog

How IHG Hotels & Resorts Data Scraping Helps Overcome Real-Time Availability and Rate Monitoring Issues

How IHG Hotels & Resorts data scraping enables real-time rate tracking, improves availability monitoring, and boosts revenue decisions.

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Case Study

UK Grocery Chain Achieves 300% ROI on Promotional Campaigns

How a top-10 UK grocery retailer used Actowiz grocery price scraping to achieve 300% promotional ROI and reduce competitive response time from 5 days to same-day.

thumb
Report

Track UK Grocery Products Daily Using Automated Data Scraping to Monitor 50,000+ UK Grocery Products from Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, Ocado

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.

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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Array
(
    [city] => Columbus
    [country] => United States
    [countryCode] => +1
    [currencyCode] => USD
)
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Blog

How IHG Hotels & Resorts Data Scraping Helps Overcome Real-Time Availability and Rate Monitoring Issues

How IHG Hotels & Resorts data scraping enables real-time rate tracking, improves availability monitoring, and boosts revenue decisions.

thumb
Case Study

UK Grocery Chain Achieves 300% ROI on Promotional Campaigns

How a top-10 UK grocery retailer used Actowiz grocery price scraping to achieve 300% promotional ROI and reduce competitive response time from 5 days to same-day.

thumb
Report

Track UK Grocery Products Daily Using Automated Data Scraping to Monitor 50,000+ UK Grocery Products from Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, Ocado

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.

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Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
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200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
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9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
🎯 Product Matching 🏷️ Attribute Tagging 📝 Content Optimization 💬 Sentiment Analysis 📊 Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How IHG Hotels & Resorts Data Scraping Helps Overcome Real-Time Availability and Rate Monitoring Issues

How IHG Hotels & Resorts data scraping enables real-time rate tracking, improves availability monitoring, and boosts revenue decisions.

thumb
Case Study

UK Grocery Chain Achieves 300% ROI on Promotional Campaigns

How a top-10 UK grocery retailer used Actowiz grocery price scraping to achieve 300% promotional ROI and reduce competitive response time from 5 days to same-day.

thumb
Report

Track UK Grocery Products Daily Using Automated Data Scraping to Monitor 50,000+ UK Grocery Products from Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, Ocado

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
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Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
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Just Exploring
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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Array
(
    [city] => Columbus
    [country] => United States
    [countryCode] => +1
    [currencyCode] => USD
)
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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1
Free 500-row sample · No credit card · Response within 2 hours