If you are in the eCommerce business, data is what makes or breaks you. You might sustain, but can’t grow without data, in this hyper-competitive eCommerce landscape.
Today, what matters is how soon you receive real-time pricing and discount updates of your competitors. Giant eCommerce players, like Amazon and Walmart, change their prices multiple times per day. Tracking such price fluctuations manually is literally impossible and might lead to discrepancies and inaccuracies.
You need to hire professional eCommerce scrappers with a proven track record and a team of data extraction specialists to help you keep a sharp eye on your competitors.
Modern eCommerce scrapers have evolved from simple screen scrapers into sophisticated, AI-driven engines that can bypass advanced not detection, solve CAPTCHAs in milliseconds, and deliver highly structured data directly into your business intelligence tools.
This guide discusses the five major eCommerce scraping companies that have carved a niche for themselves by offering high-end, highly advanced eCommerce scraping services.
Top eCommerce Scrapers
Diya Infotech: The Custom Solutions Expert
Diya Infotech is a leading eCommerce scraping company for businesses that need more than just a data scraping tool – they need a data partner. Their expertise helps them to transform raw, messy web data into analytics-ready datasets for platforms like Power BI and Tableau.
Why Diya Infotech Stands Out
Unlike plug-and-play scrapers that often break when websites change layouts, Diya Infotech provides a fully managed scraping service from extraction to final delivery. That includes:
- Custom data extraction based on your exact product categories, attributes, and competitors
- Data cleaning & normalization (titles, variations, units, brands, missing values, duplicates)
- Validation & quality checks to reduce errors and mismatches
- Flexible output formats like CSV, JSON, Excel, Google Sheets, or database/API delivery
- BI-ready datasets for tools like Power BI, Tableau, Looker, and internal dashboards
- Ongoing support & maintenance, so you’re not stuck rebuilding when sites update
Best For
Businesses that want end-to-end managed scraping, especially if you need:
- competitor price tracking and discount monitoring
- product catalog and SKU intelligence
- seller tracking and marketplace monitoring
- near real-time updates and scheduled deliveries
- high accuracy and structured datasets at scale
Pricing
Pricing is custom, based on factors like target websites, number of products/pages, required data fields, frequency (daily/weekly/hourly), and delivery method.
Bright Data: The Heavyweight Champion for Enterprises
Bright Data is one of the most influential and an industry leader as web scraping services provider in 2026, thanks to its unparalleled proxy network and its Web Scraper IDE. Most global enterprises choose Bright Data to scrape hundreds of millions of pages without hiring a wall.
Key Features: They are capable of extracting 600+ data fields per product. They have a 97.9% success rate on major retailers, and a massive residential proxy network.
Why It Stands Out: Bright Data’s eCommerce scraper services include ready-to-use datasets, allowing retailers to buy the data that they need without even running a scraper.
- Pricing: The pricing starts at approximately $0.98 per 1,000 requests (pay-as-you-go).
- Best For: Organizations that look for deep data extraction and massive scale.
Zyte (Scrapinghub): The Quickest Game-Changer
If your strategy relies on high-frequency data, like monitoring the price drop of competitors within minutes, Zyte is the name to remember. As of now in 2026, Zyte clocked the fastest average response time for Amazon product pages.
Key Features: AI-driven automated data extraction, smart proxy management, exceptional legal compliance standards.
Why It Stands Out: They have a dedicated “Scrapping-as-a-service model that can handle maintenance. If a website changes its layout, Zyte’s engineers will fix the crawler automatically in just no time.
- Pricing: Competitive entry point at $25/month.
- Best For: Real-time price monitoring and dynamic repricing
Oxylabs: The Reliability King
Widely regarded as the most reliable expert eCommerce scraper, they have a staggering 98.5% success rate across all major eCommerce platforms in recent stability tests.
Key Features: They have developed an OxyCopilot (an AI assistant that writes parsing code for you). Also, they have access to over 100 million residential IPs.
Why It Stands Out: They can easily target data down to the city level or even specific zip codes, allowing retailers to track down localized pricing of BOPIS (Buy Online, Pick Up in Store) availability.
- Pricing: Professional plans start at $49/month.
- Best For: High concurrency tasks and unblockable scraping
Kadoa: The AI-Native Disruptor
Kadoa perfectly represents the new wave of scraping in 2026, using Agentic AI instead of CSS selectors. You give the command to the tool like “I need the price”, and it will find it using visual and semantic context – like a normal human would.
Key Features: Self-healing scrapers that can adapt the changes in the layouts automatically. No-code interface.
Why It Stands Out: By eliminating the maintenance tax, it eliminates the need for a developer to fix broken scripts every time a site moves a button.
- Pricing: Free tier available; paid plans start at $99/month.
- Best For: Zero-maintenance autonomous scraping
Scrapy: The Developer’s Gold Standard
Scrapy is an open-source , free and highly popular Python framework for web scraping that can handle your business’s web scraping requirements easily. It remains the engine under the hood of many custom-built corporate scrapers.
Key Features: It has asynchronous architecture that can handle multiple requests at once. Also, it has in-built spiders and easy integration with middleware for proxy rotation.
Why It Stands Out: Scrapy is free and highly extensible. If you have an in-house Python team, Scrapy allows you to build a tailor-made expert eCommerce scraper exactly to your specifications.
Thunderbit: The AI-Driven Tool
If you are looking for high-quality and structured data without a steep learning curve, go for Thunderbit, the perfect tool for AI web scraping. Here, users can simply describe what they want to extract, and the tool automatically identifies the correct data points on a product page and or listing. Furthermore, it also excels at subpage scraping, by crawling a list of search results and then automatically visiting every page to pull detailed descriptions, images, and SKUs.
Key Features: “AI Suggest Fields” (2-click extraction), self-healing scrapers that easily adapt to site layout changes, and built-in subpage enrichment.
Why It Stands Out: It is a Chrome extension that easily removes the technical barrier. You hit a button and the AI suggests what to scrape without any coding.
Best For: For companies that require Zero-maintenance autonomous scraping and with non-technical teams.
ParseHub: The Visual Powerhouse
It is a desktop-based visual scraper that handles the tricky, complex parts of modern websites, like AJAX, JavaScript, Infinite scrolling, and logins, without requiring a single line of code.
Key Features: It has a point-and-click interface, cloud-based scheduling, and REST API integration.
Why It Stands Out: It is highly advanced and robust for a no-code tool that can navigate through categories and sub-categories of an eCommerce site just by clicking on them.
- Best For: Visual learners and dynamic websites.
Conclusion
Data is the new currency in 2026, especially in the eCommerce sector. Choosing the right website scraping company for your business is crucial to monitor competitor activities and respond to rapid pricing changes to get a competitive edge. Take your time, define your goals, and choose a company that offers the best, customized website scraping services to put you ahead in the competition.
