Collect product listings, prices, stock levels, and reviews from online stores and marketplaces.
Ecommerce scraping software collects product names, prices, availability, reviews and category information from stores or marketplaces. The real choice is between ready-made scrapers, visual no-code workflows and developer APIs that handle blocking or return structured product data. Teams should also look at how scheduled runs, pagination, JavaScript-heavy storefronts and changing page layouts are handled.
By SEM Solutions Editorial Team. Researched from vendor documentation, not hands-on testing. Ordered by Overall Score. Checked October 7, 2026. How we research
For ready-made store scrapers
#1 of 6 in Ecommerce Scraping
Apify is useful when an existing Actor already covers the store or marketplace you need. Actors can run in Apify's cloud, write results to datasets and be scheduled or called through an API; its Store also gives teams a starting point beyond building every crawler from scratch, while custom Actors remain available when a catalog or site needs specialized extraction logic.
For protected ecommerce targets
#2 of 6 in Ecommerce Scraping
Oxylabs pairs proxy networks with Web Scraper API and Web Unblocker, which is useful when product pages are distributed across sites with different anti-bot behavior. Teams can choose a managed extraction request for harder pages or use proxy products where they want more control. The same vendor also positions its scraping stack for ecommerce collection, reducing the need to source access infrastructure separately.
Visual scraping workflows
#3 of 6 in Ecommerce Scraping
Octoparse uses a visual workflow builder for configuring extraction without writing a crawler from the ground up. Its ecommerce material highlights preset templates, automatic page detection, cloud runs and anti-blocking support; that combination suits analysts who need to capture listings or product detail pages and adjust extraction steps visually when selectors, pagination or site structure changes.
Large proxy-backed collection
#5 of 6 in Ecommerce Scraping
Bright Data combines proxy infrastructure with Scraper APIs and browser-based access, giving ecommerce teams several ways to collect pages that vary in difficulty. Choose it when collection spans many stores and the access layer needs to change without rebuilding the whole data pipeline. Its product family can support straightforward requests as well as targets that need JavaScript execution or stronger blocking mitigation.
Structured product extraction
#6 of 6 in Ecommerce Scraping
Zyte API can return structured product data as part of the same request used to access a page. Its extraction types include product, product list and product navigation outputs, alongside browser HTML when a site needs rendering. That reduces custom parsing work for supported ecommerce structures and gives developers a path from page access to normalized fields without maintaining every selector themselves.
Ranked by Overall Score: our Editor Rating and Market Signal, 50/50. Market Signal uses Ahrefs and Semrush data through September 2026, pulled October 12, 2026. How we score
Cloud platform for running, scheduling and selling web scrapers packaged as serverless Actors.
Best for: Developer and data teams that need scheduled, scalable scraping jobs whose results arrive by API, webhook or an automation tool.
Web intelligence infrastructure offering proxy networks, scraping APIs, browser access, and search data extraction.
Best for: Data and engineering teams that need enterprise proxy infrastructure or managed APIs for large-scale public web collection.
No-code web scraping application with cloud extraction, templates, scheduled runs, and AI-assisted workflow building.
Best for: Analysts and operations teams that need recurring web data extraction without maintaining custom scraping code.
Web scraping API handling proxies, retries, geotargeting, rendering, and structured extraction behind one endpoint.
Best for: Developers and data teams that want to outsource proxy rotation and anti-blocking mechanics while keeping their own scraping logic.
Web data platform with proxies, scraping APIs and browser infrastructure.
Best for: Data, AI, ecommerce, and research teams that need large-scale public web access through proxies, APIs, browsers, or datasets.
Web data extraction platform combining managed proxies, browser rendering, automated extraction, and scraping services.
Best for: Engineering and data teams that need scraping infrastructure backed by proxy, browser, extraction, and managed service options.
Depending on the site and tool, common fields include product titles, URLs, prices, availability, variants, descriptions, reviews and category relationships. The important distinction is whether the tool simply returns page content or also converts it into structured product fields that are easier to store and compare.
Selector-based scrapers can break when markup or navigation changes. Visual tools may make those fixes easier to inspect, while managed extraction APIs can reduce dependence on your own selectors for supported data types. No approach removes the need to monitor output quality, especially across many unrelated storefronts.
Yes, Apify, Octoparse and ScraperAPI all offer a free plan. Free tiers usually come with usage limits, so check whether they cover your volume before relying on them long-term.
Among the tools listed here whose main product is in this category and whose pricing we've verified, Apify has the lowest listed starting price: $19/mo + usage. Starting price isn't the whole picture, so check what's included at that tier before deciding.