Best E-commerce Scrapers in 2026 (Amazon, Shopify and More, Tested)

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Quick answer: for e-commerce data (Amazon prices, Shopify catalogs, competitor listings, reviews) the fastest route in 2026 is a ready-made scraper you do not have to build. Apify is the best pick for most people: it has a store of 52,000-plus pre-built scrapers, including a battle-tested Amazon Product Scraper with 2.3 million runs, and you pay per result from about $3 per 1,000 products. Bright Data and Oxylabs are the enterprise choices when you need millions of records with dedicated support. Octoparse is the best point-and-click option if you do not write code. ScraperAPI is for developers who want the raw HTML and will parse it themselves.

Below is what each tool actually costs in 2026, what it is genuinely best at, the catch nobody puts in the headline, and the legal reality after Amazon started retiring its own product API. We run these tools to pull market data for client campaigns, so this is the honest version, not a press release.

Pick the type of e-commerce scraper first

Almost every "best scraper" list mixes four very different products together. Choose the type before you choose the brand:

• Ready-made scrapers and scraping APIs (Apify, Bright Data, Oxylabs). Someone already wrote and maintains the Amazon or Shopify extractor. You give it a URL or a search term and get clean structured data back. Lowest effort, best for most teams.
• No-code desktop scrapers (Octoparse). You point and click at a page to teach the tool what to grab. Good if you do not code and your targets are not heavily protected.
• Raw proxy and unblocking APIs (ScraperAPI, ScrapingBee, Zyte). They fetch the page past anti-bot defenses and hand you the HTML. You still write and maintain the parser. Cheapest per request, most engineering.
• Official first-party APIs (Amazon PA-API, Shopify Admin API). Sanctioned but narrow, and mostly limited to your own store or affiliate use. More on why that matters below.

Apify: best for most people who need e-commerce data

Apify is a cloud platform with a store of 52,000-plus ready-to-run scrapers it calls Actors. For e-commerce that matters, because the hard part of scraping Amazon or Shopify is not writing the code once, it is keeping it working as the sites change. On Apify, the maintainer does that for you.

The flagship Amazon Product Scraper pulls titles, prices, list prices, ASINs, star ratings, review counts, sellers and stock status by category, search term or product URL. It has roughly 19,000 users and 2.3 million runs, which tells you it survives Amazon's changes. Pricing is pay per result from about $3 per 1,000 products, and cheaper community Amazon Actors go down to $0.80 per 1,000. There are matching Actors for Amazon best sellers, Amazon reviews, Shopify stores, eBay, Walmart and AliExpress, plus an AI Product Matcher for price comparison across shops.

Platform plans in 2026: Free ($5 of monthly usage, no card), Starter $29/mo ($29 of prepaid usage, 32 concurrent runs), Scale $199/mo, and Business $999/mo with cheaper compute. The subscription fee is prepaid usage you spend on Actors and proxies.

The catch: billing is metered across compute units, proxy traffic and storage, so a big job costs more than the sticker per-result rate implies, and unused prepaid credit does not roll over to the next month. Run a small test first and read the real cost before you scale. For most agencies and store owners, Apify is still the best balance of speed, coverage and price.

Start free on Apify and run the Amazon Product Scraper here.

Bright Data: best for enterprise scale and compliance

Bright Data is the pick when you are buying product data by the million and need contracts, invoices and compliance sign-off. Its Web Scraper API starts around $1 to $1.50 per 1,000 records, with monthly plans from $499 for roughly 510,000 records, and it sells pre-built e-commerce datasets (for example Amazon and Walmart catalogs) so you can buy the data outright instead of scraping it yourself. It runs on a 175-million-plus residential IP pool, which is what gets you past the toughest anti-bot walls.

The catch: it is built for scale and priced for it. For a few thousand products a month it is overkill, and the setup is heavier than clicking a ready-made Actor. It is the honest enterprise winner, not the quick-start pick.

Oxylabs: premium dedicated E-commerce Scraper API

Oxylabs sits in the same enterprise tier as Bright Data and has a dedicated E-Commerce Scraper API with ready parsers for Amazon, Walmart, Target, eBay, Wayfair and Home Depot, so you get structured product fields without writing selectors. It also runs a 175-million-plus residential proxy network (from $2.5 per GB) and now offers AI-oriented scraping tools.

The catch: like Bright Data, it is a premium, sales-led product. Great reliability and support, but the pricing and onboarding assume a real budget. Choose it when uptime and clean parsers at scale matter more than saving a few dollars per thousand.

Octoparse: best no-code option for non-developers

Octoparse is a visual desktop scraper. You click the elements you want and it builds the extraction for you, with 500-plus preset templates that include Amazon. Plans are Free (10 tasks, 50,000 rows of export a month), Standard $69/mo (cloud extraction, IP rotation, residential proxies, CAPTCHA solving, API) and Professional $249/mo for more tasks and concurrency. Both paid tiers are billed annually.

The catch: the desktop app has a real learning curve, the refund window is only 5 days, and cloud concurrency is limited on lower tiers. On heavily protected marketplaces a maintained Actor or API will fail less often than a template you built yourself. Still, for a non-coder who wants control, Octoparse is the friendliest way in.

ScraperAPI and ScrapingBee: raw APIs for developers

If you have engineers, a raw unblocking API is the cheapest route. ScraperAPI runs from a free 1,000 credits, then Hobby $49/mo (100,000 credits), Startup $149/mo (1,000,000) and Business $299/mo. ScrapingBee and Zyte are close alternatives. They handle proxies, headless browsers and CAPTCHAs and return the page.

The catch: they give you HTML, not e-commerce fields. Your team writes and maintains the parser that turns an Amazon page into price, ASIN and rating, and that parser breaks when the site changes. You trade money for engineering time. For a one-off market pull, a ready-made Actor is faster and often cheaper once you count developer hours.

What about the official Amazon and Shopify APIs?

People assume the clean answer is an official API. In e-commerce it usually is not. Amazon's Product Advertising API is being deprecated on May 15, 2026, is no longer accepting new users, and even while live it required an active Associates account making at least three qualifying sales every 30 days or Amazon revoked your keys. Amazon's Selling Partner API only exposes your own seller data, not competitors. Shopify's Admin and Storefront APIs only cover your own store, not the thousands of other Shopify shops you might want to benchmark against.

So for market-wide data, competitor prices, or catalogs you do not own, a scraper is the practical route, not a workaround. Use the official API for your own store and a scraper for everyone else's public pages.

What people actually use e-commerce scrapers for

• Price and MAP monitoring: track competitor and reseller prices daily so you can reprice or enforce minimum advertised price rules.
• Competitor and catalog intelligence: watch new listings, stock levels, ratings and best-seller ranks in your category.
• Product research and dropshipping: find winning products by scraping best sellers, review velocity and pricing gaps.
• Review mining: pull thousands of reviews to find product complaints and messaging angles.
• Lead generation: scrape Shopify stores or Amazon sellers in a niche to build a targeted list of brands to pitch. This is where e-commerce data feeds outbound directly, and it is exactly the kind of list we build for clients in lead generation and turn into campaigns in cold email marketing.

What e-commerce scraping really costs

A quick reference for 10,000 Amazon products, which is a realistic monthly pull for a mid-size store:

• Apify Amazon Product Scraper: from about $30 in results ($3 per 1,000), plus platform usage, on a Free or $29 Starter plan.
• Bright Data Web Scraper API: roughly $10 to $15 at $1 to $1.50 per 1,000 records, but on plans that start at $499/mo.
• ScraperAPI: 10,000 requests fit inside the $49 Hobby plan, but add your own parsing time.
• Octoparse: flat $69/mo Standard covers it if 100 tasks and the cloud limits fit your job.

The pattern: pay-per-result is cheapest for small and medium jobs, flat subscriptions win once volume is steady, and enterprise APIs only make sense at millions of records.

Is scraping Amazon and Shopify legal?

Scraping publicly available data such as prices, product descriptions and ratings is generally legal, and US courts have repeatedly held that public data is not off limits. But there are real lines. Respect each site's terms of service and rate limits, do not scrape data behind a login, and do not collect personal information. Amazon caps many search results at 7 pages, so plan around it. And for your own store data, use the official API instead of scraping. If you are unsure, talk to a lawyer before you run a large or ongoing job.

How to choose in 30 seconds

• Most people and agencies: Apify. Ready-made Amazon and Shopify Actors, pay per result, start free.
• Enterprise scale and compliance: Bright Data or Oxylabs.
• No code: Octoparse.
• Developers who want raw pages: ScraperAPI or ScrapingBee.

Whichever you pick, the data is only worth something once it drives a decision, a reprice, a product launch, or an outbound campaign. If you want the whole pipeline built and run for you, from scraping to a live outreach system, that is what our AI automation agency does. For more on the tools, see our guides to the best web scraping tools, best Google Maps scrapers and best LinkedIn scrapers, or our full Apify review.