Walmart publishes item sitemaps and opens review pages to crawlers while closing search. We collect prices, sellers and reviews on exactly that basis.
Plans from €169/month · Free project assessment · Reply within 1 business day
You send the scope: a list of item IDs or URLs, categories, brands or the sellers you compete with, plus the ZIP codes that matter to you. We set up the Walmart price scraper, run it on your schedule and deliver clean files as CSV, JSON or XLSX, or through our API straight into your warehouse.
Walmart answers unusual traffic with a press-and-hold check, which is where self-built scrapers usually stall. We collect at a measured pace, with proxy rotation and CAPTCHA handling as part of the service, and keep the parsers current when Walmart changes its pages, so the feed does not quietly break.
Every delivery keeps the same fields and item IDs from run to run, which is what makes history, price comparisons and alerts reliable.
Each record starts from the Walmart item ID in the product URL, which stays stable while titles and prices change. From the item page we extract:
Store-dependent prices are collected for the ZIP codes or stores you choose, so every price comes with the location it applies to. This is the Walmart product data clients use for price comparison, catalogue matching and finding assortment gaps.
Product review and seller review pages are public on Walmart, which makes reviews one of the most dependable parts of a Walmart dataset. For each review we collect the rating, title, text, date, the verified purchase label where shown, and helpful votes, linked back to the item ID.
Seller pages add Walmart seller data: the seller name, rating and review count. That separates Walmart's own offers from marketplace sellers when you analyse price competition on the same item.
Items are discovered through category pages and the sitemaps Walmart publishes, which gives a more complete and stable item list than search would.
Walmart.com is the online storefront of the largest retailer in the United States. Alongside the products Walmart sells itself, the Walmart Marketplace lets third-party sellers list on the same item pages, so one product can carry several offers from different sellers, each with its own price, shipping promise and stock.
Prices on Walmart.com are rarely a single number. Many items change with the store or ZIP code you shop from, groceries show a unit price next to the shelf price, and badges such as Rollback and Clearance come and go. A useful Walmart scraper has to capture that context, not just the headline figure.
Beyond the item pages, Walmart publishes product review and seller review pages and dozens of sitemaps for categories, brands and item pages. We collect only publicly available data - everything a visitor can see on Walmart - and we collect it legally.
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€199 / one-time
setup fee - included
€169 / mo
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setup fee €499
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setup fee €499
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setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Walmart sets the price reference for a large part of US retail. Brands watch it for breaches of their minimum advertised price, retailers match against it, and marketplace sellers need to know when a competing offer undercuts them on the same item. The most common reason to scrape Walmart prices is exactly that: knowing first.
Typical projects that scrape Walmart data:
Repeated runs turn one-off exports into a Walmart price tracker: the same items and fields, collected on the schedule you set, so trends and promotions show up as data rather than anecdotes.
A consultancy working for a fragrance brand owner got sellers, official-store flags and USD prices for 25 fragrances on about 30 marketplaces in 12 countries.
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A US health and personal care retailer gets weekly prices for its 3,800 SKUs on Amazon, Walmart and CVS, matched to the exact product and pack size.
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About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed data extraction company. A dedicated engineer owns your Walmart scraping from setup to delivery, checks each run for gaps and format changes, and answers you directly. You get data, not another tool to maintain.
Yes. The ScrapeIt Walmart API returns item ID, current price, was price, availability, seller and rating for the ZIP codes you choose, as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database.
Item pages, category pages, product review pages and seller pages are in scope; account areas are not. We collect only publicly available data - everything a visitor can see on Walmart - and we collect it legally, without logins, at a measured pace.
Daily is the most common schedule, and several times a day is possible for a focused list of items. Each run keeps item IDs and fields stable, so you receive a clean Walmart price history rather than disconnected snapshots.
Yes. Product reviews come with rating, title, text, date and helpful votes, and seller pages add seller ratings. Both are delivered linked to the item ID, so reviews can be joined to prices and offers in one dataset.
One row per item and location per run, with price, was price, unit price, availability, fulfilment options, seller and rating. Reviews and competing offers come as related tables keyed by item ID, delivered as CSV, JSON or XLSX, or through our API.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Walmart data from €169/month. Free project assessment, reply within 1 business day.
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