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] => 216.73.216.101
[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] => 216.73.216.101
[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
)
Unlock Real-Time Pricing, Product Visibility, and Review Insights from Amazon, Walmart, Flipkart & More — All Powered by Actowiz APIs
We deliver high-performance data scraping, real-time APIs, and custom AI models to power decision-making across top industries like eCommerce, Q-Commerce, Travel, Real Estate, and more.
Scalable data extraction from any website — extract product info, pricing, reviews, listings, and more.
Get structured data on-demand via fast, reliable APIs—built for developers & enterprises.
Scrape content from iOS & Android apps—Zomato, Uber, Airbnb, Blinkit, Zepto & more.
AI-powered solutions for product matching, sentiment analysis, offer detection & more.
Backed by automation, data volume, and enterprise-grade scale — we help top
businesses extract competitive insights in the USA, UK, UAE, India, Germany & beyond.
Years
Proven experience delivering enterprise web scraping
Projects
Serving startups to Fortune 500s in 20+ countries
In-House Experts
Expert engineers across scrapers, AI & APIs
Workflows
Automated weekly across eCommerce, Q-Commerce, Travel
Transferred
Real-time & batch scraping across industries
Pages Crawled Weekly
Scaled infrastructure for global data coverage
Our web scraping expertise is relied on by 3000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Leverage structured data to improve efficiency, make faster decisions, and dominate your market with custom scraping solutions.
Extract Valuable Data Insights
Automate Repetitive Processes
Transform Websites into Business Value
Fuel AI & Machine Learning
Web Scraping for All Business Sizes
Gain a Competitive Edge
From Q-commerce to Travel – Our tailored solutions power intelligent decisions for modern businesses.
Track product listings, pricing changes, reviews & ratings from Amazon, Flipkart, Walmart, Meesho & more.
Monitor hourly stockouts, delivery times & pricing on Blinkit, Zepto, Getir, and Gopuff.
Extract SKU prices, discounts & availability across Blinkit, Instacart, BigBasket, RedMart & FairPrice.
Scrape restaurant menus, delivery fees & promo codes from Swiggy, Zomato, Uber Eats, and DoorDash.
Scrape live airfare, hotel rates & travel packages from Google Flights, Skyscanner, Booking.com, and Agoda.
Extract hotel room rates, reviews & availability for rate parity, OTA monitoring & direct bookings.
Extract rental car rates, discounts & fleet availability for rate parity, competitor tracking & booking optimization.
Extract property listings, pricing trends & availability for portfolio analysis, pricing models & investment insights.
Unlock Real-Time Pricing, Product Visibility, and Review Insights from Amazon, Walmart, Flipkart & More — All Powered by Actowiz APIs
Scrape real-time product, pricing, and review data from platforms like Amazon, Walmart, Flipkart, BestBuy.
Get hyperlocal price and delivery insights from Zepto, Blinkit, Swiggy Instamart, Talabat Mart, and RedMart.
Extract fare data, hotel prices, and rental listings from Google Flights, Booking.com, Skyscanner, and Airbnb.
Access property listings, builder info, RERA data, and rent trends from Zillow, MagicBricks, 99acres, Realtor.com and more.
Scrape restaurant menus, prices, reviews, and delivery time from Swiggy, Zomato, Uber Eats, DoorDash, Talabat and Deliveroo.
Track SKU listings, MAP violations, product visibility, and catalog changes across Amazon, Walmart, Argos, and Flipkart.
Extract alcohol prices, reviews, product images, ABV, and ratings from Drizly, Tesco, Sainsbury’s, Booozie, and Laithwaites.
We deliver high-performance data scraping, real-time APIs, and custom AI models to power decision-making across top industries like eCommerce, Q-Commerce, Travel, Real Estate, and more.
Scalable data extraction from any website — extract product info, pricing, reviews, listings, and more.
Get structured data on-demand via fast, reliable APIs—built for developers & enterprises.
Scrape content from iOS & Android apps—Zomato, Uber, Airbnb, Blinkit, Zepto & more.
AI-powered solutions for product matching, sentiment analysis, offer detection & more.
Backed by automation, data volume, and enterprise-grade scale — we help top
businesses extract competitive insights in the USA, UK, UAE, India, Germany & beyond.
Years
Proven experience delivering enterprise web scraping
Projects
Serving startups to Fortune 500s in 20+ countries
In-House Experts
Expert engineers across scrapers, AI & APIs
Workflows
Automated weekly across eCommerce, Q-Commerce, Travel
Transferred
Real-time & batch scraping across industries
Pages Crawled Weekly
Scaled infrastructure for global data coverage
Our web scraping expertise is relied on by 3000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Leverage structured data to improve efficiency, make faster decisions, and dominate your market with custom scraping solutions.
Extract Valuable Data Insights
Automate Repetitive Processes
Transform Websites into Business Value
Fuel AI & Machine Learning
Web Scraping for All Business Sizes
Gain a Competitive Edge
From Q-commerce to Travel – Our tailored solutions power intelligent decisions for modern businesses.
Track product listings, pricing changes, reviews & ratings from Amazon, Flipkart, Walmart, Meesho & more.
Monitor hourly stockouts, delivery times & pricing on Blinkit, Zepto, Getir, and Gopuff.
Extract SKU prices, discounts & availability across Blinkit, Instacart, BigBasket, RedMart & FairPrice.
Scrape restaurant menus, delivery fees & promo codes from Swiggy, Zomato, Uber Eats, and DoorDash.
Scrape live airfare, hotel rates & travel packages from Google Flights, Skyscanner, Booking.com, and Agoda.
Extract hotel room rates, reviews & availability for rate parity, OTA monitoring & direct bookings.
Extract rental car rates, discounts & fleet availability for rate parity, competitor tracking & booking optimization.
Extract property listings, pricing trends & availability for portfolio analysis, pricing models & investment insights.
From custom APIs to prebuilt scrapers, we offer scalable tools to extract, analyze, and deliver web data from 50+ platforms across industries.
Real-time integration with 50+ data sources. Build custom APIs or use plug-and-play ones for eCommerce, travel, Q-commerce, and more.
Robust scrapers built to extract structured data at scale. Use for pricing, product catalogs, delivery time, or sentiment from any public source.
Pre-cleaned, ready-to-use datasets categorized by industry — perfect for analysis, AI training, forecasting, or market research.
Extract outlet/store listings with GPS coordinates, hours, and ratings from Google Maps, Yelp, Justdial, and more.
From eCommerce to Travel APIs, our clients in USA, UK, UAE, India & Europe rely on Actowiz for accurate data, real-time updates, and unmatched support.
As seen in Bloomberg, Fox, CNN, Times of India, Yahoo, and more—Actowiz is recognized as a global leader in web data solutions.
Featured in 10+ leading publications for data excellence in eCommerce, Travel, Retail, and Analytics
Actowiz Solutions
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Track competitor prices, auto-detect MAP violations, uncover discount trends.
Real-time APIs, daily scrapers, dynamic dashboards.
Know which SKUs are in/out of stock, per retailer, daily.
Platform-wise & pin code-based stock availability.
Measure share of shelf, brand compliance, search rank.
Compare organic vs sponsored visibility across platforms.
Cross-platform performance by retailer: Amazon, Walmart, Flipkart, etc.
Price, stock, review insights tailored per store.
Scrape flash deals, seasonal offers, and time-bound discounts.
Detect which brand is running what deal—when & where.
Monitor product pricing & inventory per pin code (Blinkit, Zepto, Instamart).
Used by Q-commerce, FMCG brands.
Track real reviews, extract sentiment & emotion tags (Flipkart, Amazon, Myntra).
Great for product feedback & NPS.
Scrape from GrabOn, RetailMeNot, Naver Shop, etc.
Useful for affiliate platforms, D2C, travel brands.
Track hotel package visibility on OTAs like Booking.com, Agoda, Trivago.
Compare by city/date/price tier.
Scrape prices from physical stores vs online (BigBasket vs Local Kirana).
Useful for consumer perception analysis.
Actowiz Solutions unifies your data across platforms—unlocking insights, solving challenges, and scaling faster.
For: Blinkit, Zepto, Getir, Dunzo
Top Markets: 
For: Amazon, Flipkart, Shopify brands
Top Markets:
For: Zomato, Swiggy, Uber Eats
Top Markets:
For: Instacart, Walmart, BigBasket
Top Markets:
For: Electronics, Apparel, D2C Brands
Top Markets:
For: Multi-retailer sellers, CPG brands
Top Markets:
For: FMCG, Travel, Consumer Brands
Top Markets:
For: Grocery/Q-Commerce/FMCG
Top Markets:
For: Electronics, Fashion, Pharma
Top Markets:
Get real-time insights from scraped data across Grocery, Fashion, Food, and E-Commerce. Identify price shifts, stockouts, discounts, and trends—customized for your region and industry.
Fashion Price Dashboard
USA, UK
Food Delivery Insights
Zomato, Uber Eats
Grocery Price Monitor
Blinkit, Walmart
Daily Price Tracking
Real-Time APIs
Track real-time fashion pricing across apparel, footwear, and accessories. Analyze trends by brand, category, or discount levels across major marketplaces.
Scrape restaurant menus, offer prices, delivery times, and platform availability. Understand regional price differences and promotional patterns.
Extract real-time grocery prices, product availability, and discounts. Segment by platform, region, or product category to monitor trends.
Fetch live data feeds for prices, discounts, and product availability from top retail and Q-commerce platforms.
Whether you're a startup or enterprise, our team builds scalable, customized data scraping and analytics tools tailored to your needs — delivered on time with 24x7 global support.
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] => 216.73.216.101
[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] => 216.73.216.101
[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
)
)
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)
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
)
✨ "1000+ Projects Delivered Globally"
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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
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Operations Manager, Beanly Coffee
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Industry:
Real Estate
Result
2x Faster
Real-time RERA insights for 20+ states
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Data Analyst, Aditya Birla Group
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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
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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
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Industry:
Beverage / D2C
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Faster
Trend Detection
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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.”
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Real results from real businesses using Actowiz Solutions
In Stock
₹524
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in 6 hrs across Lel.6
Price
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Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
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"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
✔ Scraped Data, SKU availability, delivery time
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
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Learn how to use Getaround Data Extraction to track real-time car availability in Los Angeles, where 85% of cars are booked during peak hours.
Discover how Zomato Dataset Analysis helped a Mumbai food delivery app optimize listings and boost order fulfillment by 30% effectively.
Track Starbucks Menu Price Fluctuation in New York and LA. Analyze latte, frappuccino, and cappuccino prices from 2020–2025 for smarter pricing and promotions.
Learn how to use Getaround Data Extraction to track real-time car availability in Los Angeles, where 85% of cars are booked during peak hours.
Discover how Shein Cart Data Extraction in UAE reveals a 60% cart drop-off, helping optimize inventory, delivery, and logistics decisions effectively.
Track Starbucks Menu Price Fluctuation in New York and LA. Analyze latte, frappuccino, and cappuccino prices from 2020–2025 for smarter pricing and promotions.
Discover how Zomato Dataset Analysis helped a Mumbai food delivery app optimize listings and boost order fulfillment by 30% effectively.
Discover how Getaround Vehicle Availability API helped a Chicago mobility app optimize real-time car access and increase bookings by 30% effectively.
Discover how a D2C brand improved inventory management and sales with Naver demand data, leveraging D2C Fashion Inventory Optimization strategies effectively.
Price Optimization vs Price Monitoring reveals a 20% margin boost in 2025, offering insights to maximize profitability and pricing strategy.
Explore skin type-based skincare insights in Korea using Naver Beauty Categories, uncovering trends, product preferences, and consumer behavior across categories.
Explore the AI-Powered Web Scraping Market Analysis 2025–2035, including growth forecasts, key competitors, use cases, and emerging industry trends.
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