Category-wise packs with monthly refresh; export as CSV, ISON, or Parquet.
Pick cities/countries and fields; we deliver a tailored extract with OA.
Launch instantly with ready-made scrapers tailored for popular platforms. Extract clean, structured data without building from scratch.
Access real-time, structured data through scalable REST APIs. Integrate seamlessly into your workflows for faster insights and automation.
Download sample datasets with product titles, price, stock, and reviews data. Explore Q4-ready insights to test, analyze, and power smarter business strategies.
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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] => 216.73.216.110 [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] => 216.73.216.110 [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 )
Web scraping has evolved from simple scripts into robust browser-based tools that empower businesses to gather insights directly from websites. A Chrome web scraping extension combines accessibility with automation, enabling users to extract structured data right from their browser — without needing to write code manually every time.
At Actowiz Solutions, our developers specialize in creating advanced Chrome extensions and scraping tools that help enterprises automate data collection ethically and efficiently. In this guide, we'll explore how to build a fully functional Chrome web scraping extension — complete with architecture, example code, UI flow, and export options.
A Chrome extension is a lightweight application built using HTML, CSS, and JavaScript that adds custom functionality to the browser. When combined with scraping logic, it can extract structured data such as product prices, reviews, or listings directly from a webpage.
Unlike server-side scrapers, a browser extension scrapes within the user's active session, making it suitable for logged-in pages, authenticated dashboards, and dynamically rendered sites.
A Chrome scraping extension consists of four main parts:
chrome-scraper/ ├── manifest.json ├── background.js ├── content.js ├── popup.html ├── popup.js └── styles.css
{ "manifest_version": 3, "name": "Actowiz Web Scraper", "version": "1.0", "description": "A Chrome extension to scrape website data easily.", "permissions": ["activeTab", "scripting", "downloads"], "background": { "service_worker": "background.js" }, "action": { "default_popup": "popup.html", "default_icon": "icon.png" }, "content_scripts": [{ "matches": [""], "js": ["content.js"] }] }
<!-- popup.html --> <html> <head><title>Actowiz Scraper</title></head> <body> <h3>Web Scraping Tool</h3> <button id="start">Start Scraping</button> <button id="export">Export Data</button> </body> <script src="popup.js"></script> </html>
Your content script (content.js) runs in the context of the page and can access the DOM to collect information.
// content.js let scrapedData = []; document.querySelectorAll('.product-card').forEach(product => { scrapedData.push({ title: product.querySelector('.product-title')?.innerText, price: product.querySelector('.product-price')?.innerText, rating: product.querySelector('.rating')?.innerText }); }); chrome.runtime.sendMessage({ data: scrapedData });
Then, the background script can listen for messages and export the scraped data:
// background.js chrome.runtime.onMessage.addListener((msg) => { if (msg.data) { const blob = new Blob([JSON.stringify(msg.data)], { type: 'application/json' }); const url = URL.createObjectURL(blob); chrome.downloads.download({ url: url, filename: 'scraped_data.json' }); } });
To make the tool practical, add export options using the browser's download API or external libraries like PapaParse (for CSV).
function exportCSV(data) { const headers = Object.keys(data[0]); const csvRows = [ headers.join(","), ...data.map(row => headers.map(h => JSON.stringify(row[h] ?? "")).join(",")) ]; const blob = new Blob([csvRows.join("\n")], { type: "text/csv" }); const url = URL.createObjectURL(blob); chrome.downloads.download({ url, filename: "data.csv" }); }
Users can then choose between formats in the UI.
A key differentiator of a professional scraper — like those built by Actowiz Solutions — is the ability for users to customize parameters before scraping.
These configuration inputs make the extension versatile for multiple domains.
This structured dataset can easily feed into BI dashboards or price-tracking tools — a feature Actowiz Solutions provides through API integration and live data monitoring.
While web scraping is powerful, it's important to follow legal and ethical scraping practices:
At Actowiz Solutions, compliance is central to every scraping solution we deliver. We ensure all tools align with local and international data protection laws.
Modern scraping tools often include AI-based features such as:
By combining AI + Chrome extensions, businesses can turn unstructured web data into real-time competitive intelligence.
To test locally:
Once tested, you can package and upload your extension to the Chrome Web Store.
Building and maintaining Chrome scraping extensions requires technical expertise and legal awareness. Actowiz Solutions offers:
Whether you need to monitor competitor pricing, track product availability, or collect industry intelligence, Actowiz Solutions can build extensions that turn web data into actionable insights.
Scenario: A retailer wants to track Sephora product prices daily across 10 countries.
Actowiz Solution:
Result: Manual monitoring time reduced by 90% and margin optimization improved by 12% in Q1.
Creating a Chrome web scraping extension isn’t just about code — it’s about combining user-friendly design, strong ethics, and intelligent automation. From manifest setup to data export, every step matters in delivering a reliable tool that captures high-value data.
At Actowiz Solutions, we help enterprises develop, deploy, and scale custom Chrome extensions that transform web data into business intelligence — responsibly and efficiently.
✨ "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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"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%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Learn how Actowiz Solutions uses web scraping to monitor Sephora discounts, flash sales, and pricing trends for competitive advantage across global markets.
Explore how Liquor Discounts Using Pricing Dashboards reveal key market trends across Australian retail platforms, enabling smarter pricing and sales decisions.
Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.
Amazon vs Flipkart Diwali Sales Trends Analysis to gain comparative insights, understand consumer behavior, and optimize retail strategies effectively.
Learn how to create a Chrome web scraping extension with Actowiz Solutions — from setup to data export, compliance, and real-world scraping examples.
Track 1,000+ menu changes across USA, UK & Canada with Menu Data Scraping for Major Food Chains, gaining real-time insights, competitor intelligence, and revenue growth.
Discover how Automated Price Comparison tools help Amazon, Home Depot, and eBay sellers optimize pricing strategies and gain a competitive edge.
Explore how to scrape rental listings for demand analysis on Rightmove and Zoopla to uncover London’s rental trends, hotspots, and market insights for smarter investment decisions.
Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.
Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.
Property Price Benchmarking across EU markets using web scraping provides real-time insights for smarter real estate analysis, pricing, and investment strategies.
alcohol price monitoring in UK helps track Majestic Wine & The Drink Shop pricing trends using web scraping for competitive market insights.
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