GeoIp2\Model\City Object
(
[city:protected] => GeoIp2\Record\City Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[location:protected] => GeoIp2\Record\Location Object
(
[validAttributes:protected] => Array
(
[0] => averageIncome
[1] => accuracyRadius
[2] => latitude
[3] => longitude
[4] => metroCode
[5] => populationDensity
[6] => postalCode
[7] => postalConfidence
[8] => timeZone
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[accuracy_radius] => 20
[latitude] => 39.9625
[longitude] => -83.0061
[metro_code] => 535
[time_zone] => America/New_York
)
)
[postal:protected] => GeoIp2\Record\Postal Object
(
[validAttributes:protected] => Array
(
[0] => code
[1] => confidence
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[code] => 43215
)
)
[subdivisions:protected] => Array
(
[0] => GeoIp2\Record\Subdivision Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isoCode
[3] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
)
[continent:protected] => GeoIp2\Record\Continent Object
(
[validAttributes:protected] => Array
(
[0] => code
[1] => geonameId
[2] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[country:protected] => GeoIp2\Record\Country Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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:protected] => Array
(
[0] => en
)
[maxmind:protected] => GeoIp2\Record\MaxMind Object
(
[validAttributes:protected] => Array
(
[0] => queriesRemaining
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
)
)
[registeredCountry:protected] => GeoIp2\Record\Country Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
[5] => type
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
)
)
[traits:protected] => GeoIp2\Record\Traits Object
(
[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
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[ip_address] => 216.73.216.110
[prefix_len] => 22
[network] => 216.73.216.0/22
)
)
[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] => 216.73.216.110
[prefix_len] => 22
)
)
)
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.
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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.
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Measure share of shelf, brand compliance, search rank.
Compare organic vs sponsored visibility across platforms.
Cross-platform performance by retailer: Amazon, Walmart, Flipkart, etc.
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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.
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Scrape prices from physical stores vs online (BigBasket vs Local Kirana).
Useful for consumer perception analysis.
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For: Electronics, Apparel, D2C Brands
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For: Multi-retailer sellers, CPG brands
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For: FMCG, Travel, Consumer Brands
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For: Grocery/Q-Commerce/FMCG
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Fetch live data feeds for prices, discounts, and product availability from top retail and Q-commerce platforms.
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GeoIp2\Model\City Object
(
[city:protected] => GeoIp2\Record\City Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[location:protected] => GeoIp2\Record\Location Object
(
[validAttributes:protected] => Array
(
[0] => averageIncome
[1] => accuracyRadius
[2] => latitude
[3] => longitude
[4] => metroCode
[5] => populationDensity
[6] => postalCode
[7] => postalConfidence
[8] => timeZone
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[accuracy_radius] => 20
[latitude] => 39.9625
[longitude] => -83.0061
[metro_code] => 535
[time_zone] => America/New_York
)
)
[postal:protected] => GeoIp2\Record\Postal Object
(
[validAttributes:protected] => Array
(
[0] => code
[1] => confidence
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[code] => 43215
)
)
[subdivisions:protected] => Array
(
[0] => GeoIp2\Record\Subdivision Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isoCode
[3] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
)
[continent:protected] => GeoIp2\Record\Continent Object
(
[validAttributes:protected] => Array
(
[0] => code
[1] => geonameId
[2] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[country:protected] => GeoIp2\Record\Country Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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:protected] => Array
(
[0] => en
)
[maxmind:protected] => GeoIp2\Record\MaxMind Object
(
[validAttributes:protected] => Array
(
[0] => queriesRemaining
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
)
)
[registeredCountry:protected] => GeoIp2\Record\Country Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[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
)
)
)
[representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
(
[validAttributes:protected] => Array
(
[0] => confidence
[1] => geonameId
[2] => isInEuropeanUnion
[3] => isoCode
[4] => names
[5] => type
)
[locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
(
[0] => en
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
)
)
[traits:protected] => GeoIp2\Record\Traits Object
(
[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
)
[record:GeoIp2\Record\AbstractRecord:private] => Array
(
[ip_address] => 216.73.216.110
[prefix_len] => 22
[network] => 216.73.216.0/22
)
)
[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
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)
)
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[geoname_id] => 5165418
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[names] => Array
(
[de] => Ohio
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[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] => 216.73.216.110
[prefix_len] => 22
)
)
)
country : United States
city : Columbus
US
Array
(
[as_domain] => amazon.com
[as_name] => Amazon.com, Inc.
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)
✨ "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"
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
Real results from real businesses using Actowiz Solutions
In Stock
₹524
Price Drop + 12 min
in 6 hrs across Lel.6
Price
Drop −12 thr
Improved inventory
visibility & palniring
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price inights Top-slling SKUs
"Actow's helped us reduce out of ststack 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
"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.
Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.
Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.
Actowiz Solutions compares Janmashtami offers on puja items & sweets across quick commerce platforms with real-time scraping & price tracking insights.
Explore Toters, JOKR & Getir grocery discounts across regions—data insights, trends, and strategic analysis by Actowiz Solutions.
Track weekly Flipkart electronics prices to stay competitive, adjust pricing smartly, and make data-driven decisions that boost visibility and conversions.
Discover which dairy, mithai & puja brands led Janmashtami quick commerce banners with Actowiz Solutions’ visibility scores & festive promotions insights.
Discover how Actowiz Solutions scraped Rakhi gift hamper prices from Q-commerce platforms to reveal real festive discount insights with real-time pricing data.
Compare Uber, DiDi & Bolt ride fares across 7 countries with real-time scraping insights. Discover surge patterns, price differences & platform efficiency globally.
Actowiz Solutions compares Flipkart & Amazon prices during India’s Independence Day Sale 2025. Discover top deals, price drops & brand discount trends.
Explore Lazada grocery App dataset insights to uncover grocery delivery trends, pricing, and market gaps for American startups entering Southeast Asian markets.
Explore Actowiz Solutions' scraped data report on travel price surges in India during Raksha Bandhan & Independence Day 2025. Flight, hotel & booking insights inside.
Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations
