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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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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] => 216.73.216.160
                    [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] => 216.73.216.160
                    [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
)

Live Crawlers & Scheduled Crawlers Services – Real-Time & Automated Web Data Extraction

Extract fresh, accurate data when you need it. Run live crawlers for instant feeds or schedule automated crawls at daily, weekly, or custom intervals — scalable, compliant, and reliable.

  • Real-Time Crawlers for instant, up-to-date data feeds
  • Automated scheduling (hourly, daily, weekly, monthly)
  • Global coverage across 150+ countries & industries
  • Scale from thousands to millions of pages seamlessly
  • Compliance-first (GDPR, CCPA, Robots.txt where applicable)
  • Multiple output formats (JSON, CSV, Excel, API, Cloud)
  • Built-in rotation, retries & anti-blocking technology
  • 99.9% uptime & guaranteed high data accuracy
  • 24/7 monitoring & dedicated support team
Top Web Scraping & Data Intelligence Company In The USA 01

Top Countries:

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Live Crawlers Section

Live Crawlers – Real-Time, Continuous Monitoring

Live Crawlers detect and capture changes instantly on any website, making them perfect where seconds matter.

Key Features:

Instant Change Detection (price, stock, news, odds)
Low Latency Delivery (<2 seconds)
Custom Alerts & Notifications
Scalable Frequency (1 second to minutes)

Best For:

E-commerce (flash sales tracking)
Finance (crypto, stock updates)
News & Media (breaking news alerts)
Sports & Betting (real-time odds)
Quick Commerce (instant inventory updates)
Powerful Web Crawling Services For Enterprises
Powerful Web Crawling Services For Enterprises

Scheduled Crawlers Section

Scheduled Crawlers – Automated Periodic Data Collection

Scheduled Crawlers run on pre-defined intervals – hourly, daily, weekly, or monthly – reducing cost while ensuring consistency.

Key Features:

Custom Frequency (hourly, daily, weekly)
Scalable Data Collection (hundreds to millions per run)
Reliable, Consistent Data Delivery
Cost-Effective vs. continuous crawling

Best For:

Market Research (daily price checks)
Real Estate (weekly listings updates)
SEO Monitoring (keyword & ranking)
Product Catalog Management
Content Aggregation

Why Choose Actowiz Live & Scheduled Crawlers?

Instant Data Access

Fetch real-time insights on-demand whenever you need them.

Automated Scheduling

Run crawlers hourly, daily, or weekly with zero manual effort.

Custom Frequency

Flexible crawl intervals tailored to your business goals.

Cloud Delivery

Seamless data delivery in JSON, CSV, Excel, or direct to AWS, GCP, Azure.

Error-Free Execution

Advanced proxy rotation, retries, and monitoring ensure accuracy.

24/7 Monitoring & Support

Always-on crawlers with round-the-clock expert assistance.

What Can You Do With Our Live & Scheduled Crawlers?

Explore the most in-demand industries and see how real-time and scheduled crawlers help you unlock actionable data for smarter decisions.

Scraper Development 1

E-commerce & Marketplaces

Stay ahead with real-time and scheduled crawlers that track millions of SKUs across global marketplaces, giving you instant and periodic updates for smarter decisions.

We extract:
  • Product prices, SKUs, categories
  • Promotions, discounts, price history
  • Stock status (live in-stock/out-of-stock)
  • Ratings, reviews, images, and product details
Use cases:
  • Real-time competitor price monitoring
  • Scheduled product catalog updates
  • New product and seller discovery
  • Promotion and seasonal trend tracking
Sample data output:
Product Price Rating Reviews Availability Crawl Type
iPhone 15 Pro Max $1,299 4.8 1,245 In stock Live Crawler
Samsung Galaxy S24 $999 4.6 842 Out of stock Scheduled
Read More
Scraper Development 1

Quick Commerce & Grocery

Capture ultra-fast changes in pricing, delivery slots, and promotions with live crawlers, while scheduled crawlers provide periodic trend analysis for basket pricing and stock insights.

We extract:
  • Product name, brand, pack size
  • Price, discounts, fees, and surge charges
  • Delivery time & availability
  • Inventory signals and promotional banners
Use cases:
  • Basket price monitoring and fee benchmarking
  • Real-time delivery SLA comparison across cities
  • Tracking assortment volatility and out-of-stock trends
  • Scheduled promo checks for weekly/seasonal campaigns
Sample data output:
Product Price Discount Delivery Availability Crawl Type
Amul Milk 1L $1.20 Buy 1 Get 1 10 min In stock Live Crawler
Lays Chips 200g $1.50 25% Off 20 min Out of stock Scheduled Crawler
Read More
Scraper Development 1

Electronics & Appliances

Track fast-changing electronics data with live crawlers for flash sales and scheduled crawlers for warranty, specs, and stock insights.

We extract:
  • Product specs (model, variant, warranty)
  • Pricing, offers, EMI details
  • Availability across sellers
  • Customer ratings and reviews
Use cases:
  • Monitor competitor prices during flash sales
  • Warranty & feature-based product comparisons
  • Scheduled availability checks for restocks
  • Analyze customer reviews for sentiment
Sample data output:
Product Price Rating Reviews Availability Crawl Type
Sony Bravia 55" TV $699 4.7 892 In stock Live Crawler
HP Pavilion Laptop $899 4.5 456 Out of stock Scheduled Crawler
Read More
Scraper Development 1

Toys, Baby & Gifting

Stay on top of seasonal toy trends and baby product demand with real-time crawlers and scheduled tracking for gifting categories.

We extract:
  • Product names, categories, age groups
  • Seasonal pricing and discounts
  • Gift bundles, combos, offers
  • Ratings, reviews, safety certifications
Use cases:
  • Real-time festive/holiday sale tracking
  • Competitor catalog monitoring
  • Identifying trending toys and gifting products
  • Scheduled inventory updates across sellers
Sample data output:
Product Price Rating Reviews Availability Crawl Type
LEGO City Set $59 4.9 1,245 In stock Live Crawler
Pampers Diapers L $35 4.6 832 In stock Scheduled
Read More
Scraper Development 1

Travel & Hotels

Use live crawlers for last-minute hotel/flight rates and scheduled crawlers for periodic trend and availability tracking.

We extract:
  • Hotel/flight name, route, amenities
  • Prices, discounts, surcharges
  • Room/seat availability
  • Ratings and reviews
Use cases:
  • Real-time flight fare comparison
  • Daily hotel pricing & occupancy trends
  • Competitor OTA listing monitoring
  • Seasonal demand analysis
Sample data output:
Service Price Rating Reviews Availability Crawl Type
NYC–LA Flight $320 4.5 623 Seats left 5 Live Crawler
Hilton Dubai Room $199 4.7 1,214 In stock Scheduled Crawler
Read More
Scraper Development 1

Restaurants & Food Chains

Scrape menus, pricing, reviews, and promotions across food delivery platforms and restaurant websites.

We extract:
  • Menu items, pricing, categories
  • Promotions, offers, combos
  • Availability & delivery times
  • Ratings, reviews, images
Use cases:
  • Competitor restaurant pricing analysis
  • Food delivery availability tracking
  • Monitoring promotional offers & discounts
  • Sentiment analysis on restaurant reviews
Sample data output:
Restaurant Dish/Item Price Rating Availability Offer Crawl Type
Domino’s Pizza Margherita $10 4.5 Available 20% Off Live Crawler
McDonald’s Big Mac Meal $8 4.3 Out of stock None Scheduled Crawler
Read More
Scraper Development 1

Liquor & Beverages

Track liquor and beverage product data with live crawlers for price changes, promotions, and seasonal campaigns, while scheduled crawlers provide insights into availability, ratings, and brand comparisons.

We extract:
  • Product details (brand, type, size, category)
  • Pricing, discounts, seasonal offers
  • Availability across stores & platforms
  • Ratings, reviews, promotions
Use cases:
  • Competitor liquor pricing monitoring
  • Seasonal and festival promotion benchmarking
  • Stock availability & restock tracking
  • Customer review & brand sentiment analysis
Sample data output:
Product Price Type Rating Availability Promotion Crawl Type
Johnnie Walker Black $45 Whiskey 4.6 In stock 10% Off Live Crawler
Heineken 6-Pack $12 Beer 4.3 Out of stock None Scheduled Crawler
Read More
Scraper Development 1

Beauty & Cosmetics Products

Scrape product catalogs, pricing, reviews, and availability across eCommerce and retail beauty platforms.

We extract:
  • Product details (brand, variant, size)
  • Pricing, offers, subscription models
  • Availability across platforms
  • Ratings, reviews, images
Use cases:
  • Competitor cosmetic product tracking
  • Seasonal & festival promotions monitoring
  • Benchmarking subscription models (beauty boxes)
  • Customer sentiment & trend analysis
Sample data output:
Product Price Brand Rating Availability Offer Crawl Type
L’Oreal Lipstick $15 L’Oreal 4.6 In stock Buy 1 Get 1 Live Crawler
MAC Foundation $35 MAC 4.8 Out of stock None Scheduled Crawler
Read More
Scraper Development 1

Hospitals

Track hospital services, pricing, and patient reviews in real-time or schedule crawlers for compliance, treatment packages, and availability updates.

We extract:
  • Hospital names, departments, facilities
  • Pricing for surgeries/treatments
  • Patient reviews and ratings
  • Bed and ICU availability
Use cases:
  • Real-time bed availability monitoring
  • Scheduled compliance or accreditation tracking
  • Competitor hospital package comparisons
  • Sentiment analysis of patient reviews
Sample data output:
Hospital Name Service Price Availability Rating Crawl Type
Apollo Chennai Knee Surgery $2,500 Available 4.7 Live Crawler
Mayo Clinic MRI Scan $900 Booked Out 4.9 Scheduled
Read More
Scraper Development 1

Real Estate

Monitor property listings with live crawlers for instant updates and scheduled crawlers for trend analysis in residential and commercial markets.

We extract:
  • Property name, location, type
  • Pricing, area size, agent details
  • Availability status
  • Amenities and reviews
Use cases:
  • Real-time new property alerts
  • Competitor property price benchmarking
  • Scheduled rent/price trend analysis
  • Agent & broker activity monitoring
Sample data output:
Property Price Location Availability Crawl Type
2BHK Apartment $1,200/mo New Jersey Available Live Crawler
Office Space NYC $8,500/mo Manhattan Rented Out Scheduled
Read More
Scraper Development 1

Dating & Relationships

Scrape dating platforms for user demographics, engagement metrics, pricing plans, and feature comparisons.

We extract:
  • User profiles (age, interests, location)
  • Subscription & premium plans
  • Matchmaking & engagement data
  • Reviews & ratings of platforms
Use cases:
  • Competitive analysis of dating apps
  • Monitoring subscription model changes
  • Tracking user engagement trends
  • Benchmarking app features & offerings
Sample data output:
Platform User Base Subscription Rating Region Active Users Crawl Type
Tinder 75M $15/month 4.6 Global High Live Crawler
Bumble 45M $12/month 4.5 US/UK Medium Scheduled Crawler
Read More
Scraper Development 1

Airlines

Fetch airline flight schedules, pricing, and seat availability in real-time with live crawlers and use scheduled crawlers for fare trend analysis.

We extract:
  • Flight routes, timings, layovers
  • Ticket prices, surcharges, discounts
  • Seat availability
  • Ratings and passenger reviews
Use cases:
  • Real-time last-minute fare comparison
  • Scheduled seasonal fare trend analysis
  • Competitor route monitoring
  • On-time performance tracking
Sample data output:
Flight Price Rating Reviews Availability Crawl Type
Delta NYC–LAX $320 4.4 854 Seats Open Live Crawler
Emirates DXB–LHR $680 4.8 1,125 Sold Out Scheduled
Read More
Scraper Development 1

Hotels

Track hotel rates, availability, and guest reviews in real time with live crawlers, and use scheduled crawlers for long-term trend analysis.

We extract:
  • Hotel names, locations, categories
  • Room types, prices, and amenities
  • Ratings, reviews, guest feedback
  • Availability status
Use cases:
  • Real-time room availability checks
  • Competitor pricing & promotions tracking
  • Scheduled trend analysis on seasonal demand
  • Guest sentiment monitoring
Sample data output:
Hotel Name Price/Night Rating Reviews Availability Crawl Type
Hilton NYC $210 4.6 1,245 Available Live Crawler
Taj Dubai $350 4.8 980 Fully Booked Scheduled
Read More
Scraper Development 1

OTA / Travel Agencies

Fetch flight, hotel, and package pricing in real time from OTAs with live crawlers, while scheduled crawlers help benchmark seasonal travel trends.

We extract:
  • Travel packages, deals, and pricing
  • Flight & hotel booking data
  • Customer reviews and ratings
  • Destination popularity
Use cases:
  • Real-time competitive pricing intelligence
  • Scheduled monitoring of OTA deals & trends
  • Benchmarking seasonal promotions
  • Customer satisfaction tracking
Sample data output:
OTA Name Package Price Rating Availability Crawl Type
Expedia Paris Package $1,250 4.7 Available Live Crawler
Booking.com Bali 5N/6D $1,050 4.6 Sold Out Scheduled
Read More
Scraper Development 1

Education & E-Learning

Track courses, pricing, and student reviews live, while scheduled crawlers help measure educational trends across platforms.

We extract:
  • Course titles & categories
  • Prices, discounts, enrollment numbers
  • Instructor details
  • Student ratings & reviews
Use cases:
  • Real-time competitor course pricing
  • Scheduled student feedback analysis
  • Market demand tracking for courses
  • Instructor performance benchmarking
Sample data output:
Course Name Price Instructor Rating Enrollments Crawl Type
Data Science Bootcamp $350 John Smith 4.7 12,500 Live Crawler
Digital Marketing 101 $150 Jane Doe 4.6 8,200 Scheduled
Read More
Scraper Development 1

News & Media Platforms

Scrape news articles, publisher details, headlines, and sentiment to track media coverage, competitor content, and audience engagement.

We extract:
  • Headlines, summaries, article links
  • Publisher details, categories
  • Publication time/date
  • Sentiment & engagement metrics
Use cases:
  • Competitor media coverage monitoring
  • Breaking news trend detection
  • Regional news comparison
  • Sentiment analysis of public content
Sample data output:
Headline Publisher Category Sentiment Region Crawl Type
AI Revolution in Healthcare BBC News Technology Positive Global Live Crawler
Inflation Hits Record High NY Times Economy Negative US Scheduled Crawler
Read More
Scraper Development 1

Car Rental

Monitor car rental fleet availability and pricing in real-time with live crawlers and track market shifts with scheduled crawlers.

We extract:
  • Vehicle models, categories, and fleet size
  • Pricing, discounts, insurance options
  • Location-based availability
  • Customer reviews & ratings
Use cases:
  • Real-time availability checks
  • Competitor pricing & seasonal offer tracking
  • Scheduled trend analysis on popular routes
  • Customer review sentiment monitoring
Sample data output:
Car Model Price/Day Location Availability Crawl Type
Toyota Camry $55 Los Angeles Available Live Crawler
BMW 5 Series $120 Dubai Booked Out Scheduled
Read More
Scraper Development 1

Doctors & Physicians

Collect updated doctor listings, consultation fees, and patient reviews with live crawlers for real-time updates and scheduled crawlers for trend tracking.

We extract:
  • Doctor names, specializations
  • Consultation fees & availability
  • Clinic/hospital affiliations
  • Patient reviews & ratings
Use cases:
  • Real-time doctor availability monitoring
  • Competitor consultation fee tracking
  • Scheduled sentiment analysis from reviews
  • Medical directory building
Sample data output:
Doctor Name Specialty Fee Rating Availability Crawl Type
Dr. A. Sharma Cardiologist $120 4.8 Available Live Crawler
Dr. L. Patel Dermatologist $90 4.6 Booked Out Scheduled
Read More
Scraper Development 1

Lawyer & Legal Services

Scrape lawyer profiles, firm details, reviews, and pricing from directories and legal platforms to track availability, expertise, and client sentiment.

We extract:
  • Lawyer/firm names, specialization
  • Service pricing & consultation fees
  • Location, availability, contact details
  • Ratings, reviews, case specialties
Use cases:
  • Competitor analysis of law firms
  • Benchmarking consultation pricing
  • Tracking reviews for reputation management
  • Monitoring legal services directory listings
Sample data output:
Lawyer/Firm Specialization Fee/Hour Rating Location Availability Crawl Type
Smith & Co. Law Firm Corporate Law $200 4.7 New York Available Live Crawler
Jane Doe, Attorney Family Law $150 4.5 California Not Available Scheduled Crawler
Read More
Scraper Development 1

Insurance

Monitor real-time insurance policy pricing, coverage details, and competitor offers with live crawlers, while scheduled crawlers capture industry trends.

We extract:
  • Insurance providers & plan types
  • Premiums, coverage, and deductibles
  • Policy terms & exclusions
  • Customer ratings & feedback

Popular platforms: PolicyBazaar, AIG, LIC, Progressive

Use cases:
  • Real-time insurance premium comparison
  • Scheduled competitor coverage tracking
  • Benchmarking market offers
  • Monitoring customer review sentiment
Sample data output:
Provider Plan Type Premium Coverage Rating Crawl Type
Aetna Health Plan $250/mo $50,000 cover 4.5 Live Crawler
AXA Auto Insurance $120/mo $25,000 cover 4.6 Scheduled
Read More
Scraper Development 1

OTT Streaming & Entertainment

Scrape OTT platform data including titles, genres, subscription pricing, reviews, and availability. Track new releases, promotions, and audience preferences.

We extract:
  • Show/movie titles, genres, cast
  • Subscription pricing & offers
  • Ratings, reviews, popularity metrics
  • Availability by region
Use cases:
  • Monitoring competitor subscription plans
  • Tracking trending shows/movies
  • Regional content availability comparison
  • Customer review analysis for engagement
Sample data output:
Title Genre Rating Region Availability Subscription Plan Crawl Type
Stranger Things Sci-Fi 4.8 Global Available $15/month Live Crawler
Money Heist Thriller 4.7 Europe Available Included Scheduled Crawler
Read More
Scraper Development 1

Automobiles

Track car prices, model availability, and dealership offers with live crawlers, while scheduled crawlers capture auto market shifts and seasonal launches.

We extract:
  • Car models, trims, and features
  • Prices, discounts, dealer offers
  • Stock availability
  • Customer reviews and ratings
Use cases:
  • Real-time competitor price tracking
  • Scheduled launch & seasonal trend monitoring
  • Dealer performance benchmarking
  • Customer preference analysis
Sample data output:
Car Model Price Dealer Availability Rating Crawl Type
Tesla Model Y $55,000 Tesla NYC Available 4.9 Live Crawler
Hyundai Tucson $28,000 Dubai Motors Out of Stock 4.6 Scheduled
Read More
Scraper Development 1

Fashion & Apparel

Monitor dynamic pricing, trending designs, and stock updates across global fashion marketplaces with live crawlers and track seasonal trends with scheduled crawlers.

We extract:
  • Product categories (clothes, shoes, accessories)
  • Prices, discounts, promotions
  • Stock availability & size variants
  • Ratings, reviews, and images
Use cases:
  • Real-time competitor fashion pricing
  • Scheduled trend forecasting (seasonal styles)
  • Monitoring fast-fashion launches
  • Sentiment analysis from reviews
Sample data output:
Product Price Rating Reviews Availability Crawl Type
Nike Air Max $120 4.7 845 In Stock Live Crawler
Zara Dress $65 4.5 420 Out of Stock Scheduled
Read More
Scraper Development 1

Food & Beverages

Get live insights on restaurant menus, delivery pricing, and customer reviews, while scheduled crawlers provide long-term data for food trends.

We extract:
  • Restaurant menus & item pricing
  • Delivery fees, discounts, and surge pricing
  • Ratings, reviews, delivery times
  • Cuisine types & availability
Use cases:
  • Real-time competitor delivery pricing
  • Menu and promotion monitoring
  • Scheduled food trend analysis
  • Benchmarking delivery performance
Sample data output:
Restaurant Item Price Rating Delivery Time Crawl Type
Domino’s Pizza Pepperoni Pizza $12 4.6 30 min Live Crawler
Starbucks Latte $5 4.8 15 min Scheduled
Read More
Scraper Development 1

Sports & Fitness

Scrape gym memberships, equipment prices, and event schedules live, while scheduled crawlers provide insights into fitness industry trends.

We extract:
  • Sports equipment & pricing
  • Gym memberships & class schedules
  • Trainer availability & reviews
  • Event schedules & tickets
Use cases:
  • Real-time competitor gym package monitoring
  • Scheduled fitness equipment trend analysis
  • Event attendance forecasting
  • Brand perception tracking
Sample data output:
Product/Class Price Rating Availability Crawl Type
Yoga Class Package $50 4.8 Open Live Crawler
Treadmill Machine $800 4.6 Out of Stock Scheduled
Read More
Scraper Development 1

Social Media & Community

Scrape posts, profiles, engagement data, and trending hashtags across social media platforms for competitor, influencer, and audience insights.

We extract:
  • Posts, comments, likes, shares
  • Influencer & brand profiles
  • Trending topics & hashtags
  • Sentiment & engagement analytics
Use cases:
  • Influencer performance tracking
  • Competitor campaign benchmarking
  • Trend discovery for marketing strategies
  • Audience sentiment analysis
Sample data output:
Profile/Handle Followers Post Type Engagement Rate Trending Hashtag Crawl Type
@TechGuru 1.2M Video 8.5% #AI2025 Live Crawler
@FoodieLife 500K Image 6.8% #VeganEats Scheduled Crawler
Read More
Scraper Development 1

Entertainment & Media

Monitor streaming platforms, box office collections, and user ratings live, while scheduled crawlers help analyze long-term media consumption trends.

We extract:
  • Movie & show titles
  • Streaming availability & pricing
  • Box office collections
  • Ratings & reviews
Use cases:
  • Real-time streaming availability tracking
  • Scheduled box office trend analysis
  • Competitor content monitoring
  • Sentiment analysis from reviews
Sample data output:
Title Platform Price Rating Crawl Type
Stranger Things S5 Netflix $9.99 4.9 Live Crawler
Avengers: Endgame Disney+ $5.99 4.8 Scheduled
Read More
Scraper Development 1

Logistics & Supply Chain

Get real-time shipment rates, delivery timelines, and fleet availability with live crawlers, while scheduled crawlers provide periodic supply chain insights.

We extract:
  • Freight rates & carrier options
  • Delivery timelines
  • Fleet availability
  • Warehouse stock updates
Use cases:
  • Real-time freight rate monitoring
  • Scheduled delivery performance tracking
  • Competitor logistics comparison
  • Global supply chain analytics
Sample data output:
Carrier Freight Rate Delivery Time Fleet Status Crawl Type
DHL Express $150 3 days Available Live Crawler
FedEx Freight $180 5 days Limited Scheduled
Read More
Scraper Development 1

Cryptocurrency & Blockchain

Stay ahead in the fast-moving digital asset world with real-time and scheduled crawlers tracking crypto prices, blockchain transactions, exchanges, and token trends, giving you instant updates for smarter decisions.

We extract:
  • Cryptocurrency prices, market cap, and trading volume
  • Exchange listings, token details, and liquidity data
  • Wallet addresses, blockchain transactions, and smart contract events
  • Sentiment analysis from forums, news, and social media
Use cases:
  • Real-time cryptocurrency price monitoring
  • Scheduled token & exchange listing updates
  • Tracking blockchain transactions and wallet flows
  • Market trend analysis and sentiment tracking
Sample data output:
Cryptocurrency Price Market Cap 24h Volume Change (24h) Data Type
Bitcoin (BTC) $65,430 $1.28T $38.5B +2.3% Live Feed
Ethereum (ETH) $3,420 $410B $21.7B +1.8% Scheduled Data
Read More
Scraper Development 1

Healthcare & Pharma

Track pharmaceutical prices, availability, and supplier details in real-time, while scheduled crawlers deliver compliance and trend insights.

We extract:
  • Drug names & categories
  • Prices, suppliers, distributors
  • Reviews & ratings
  • Availability & batch details
Use cases:
  • Real-time competitor pharma price monitoring
  • Scheduled compliance & trend reporting
  • Drug availability alerts
  • New market entry analysis
Sample data output:
Drug Name Price Supplier Availability Rating Crawl Type
Paracetamol $5 ABC Pharma In Stock 4.7 Live Crawler
Insulin Pen $40 MedLife Out of Stock 4.8 Scheduled
Read More

Case Study Snapshot

Client:

Leading E-commerce Retailer

Challenge:

  • Needed to track 5M+ SKUs daily across 50 competitor sites.

Solution:

  • Implemented Live Crawlers for flash sale monitoring + Scheduled Crawlers for daily product catalog updates.

Result:

  • 40% faster price adjustments
  • 25% increase in competitive sales
  • Real-time inventory insights

Security & Compliance

We strictly follow:

  • Robots.txt guidelines where applicable
  • GDPR & CCPA compliance
  • API rate limiting & anti-abuse safeguards
  • Encrypted, secure data delivery

Integration Options

Our crawlers integrate seamlessly with:

  • BI Tools → Tableau, Power BI, Looker
  • Data Warehouses → Snowflake, BigQuery, Redshift
  • CRM/ERP → Salesforce, SAP
  • Custom → Dashboards & APIs

FAQs

Live Crawlers fetch data in real time — ideal for flash sales, stock updates, or breaking news. Scheduled Crawlers run at fixed intervals (hourly, daily, weekly) for consistent, large-scale monitoring like catalog updates or SEO tracking.
Live Crawlers are perfect for industries where seconds matter: E-commerce flash sales, crypto & stock trading, quick commerce delivery tracking, sports betting odds, and breaking news updates.
If your business needs structured data at regular intervals (daily price comparisons, weekly property listings, monthly competitor catalogs), Scheduled Crawlers are more cost-effective and reliable.
We provide API access that delivers structured data in JSON, CSV, or Excel formats. The API can easily integrate with your CRM, BI tools, or data pipelines.
With Live Crawlers, you can go as frequent as 1-second intervals. With Scheduled Crawlers, you can choose hourly, daily, weekly, or monthly runs.
We use advanced anti-blocking infrastructure, including proxy rotation, CAPTCHA-solving, and headless browsing, ensuring uninterrupted data delivery.
We extract product details, pricing, promotions, reviews, ratings, stock status, delivery times, financial updates, property listings, and much more depending on the industry.
We ensure compliance by following robots.txt, terms of service, and regional data privacy regulations. Our solutions are designed to gather only publicly available information.
Absolutely. Our infrastructure supports both small-scale pilots and enterprise-level projects handling millions of records daily.
We provide global coverage, with high demand from USA, UK, UAE, Germany, India, Canada, and Europe’s major markets.
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] => 216.73.216.160
                    [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] => 216.73.216.160
                    [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
)

Start Your Project

+1

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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USA Travel Data Scraping Market Report in 2025 - Trends, Tools & Opportunities

Get insights on the USA travel data scraping market Report in 2025, covering key trends, top tools, and opportunities shaping travel analytics and planning.