Walmart is the second-largest online retailer in the U.S., after Amazon. By 2025, Walmart’s online sales are projected to hit $3.4 billion. Together, Walmart and Amazon dominate the market so significantly that they effectively set the pricing trends for entire industries.
Walmart’s pricing strategies often send ripple effects across the retail landscape. Other retailers are frequently forced to match Walmart’s prices—often at the expense of their profit margins—or find creative ways to stand out. For anyone looking to stay ahead in the e-commerce game, keeping an eye on Walmart.com is essential.
Why Scrape Walmart?
Walmart lists over 43 million products online, and this number is increasing each year. This publicly available data is a goldmine for businesses looking to refine their e-commerce strategies. Some of the top use cases for scraping Walmart include:
- Competitive Pricing Analysis: By extracting pricing information, companies can compare their prices with Walmart’s, helping them stay competitive in the market.
- Market Research: Scraping product trends, customer reviews, and sales data provides valuable insights into market demand and consumer preferences.
- Inventory Management: Tracking stock levels and product availability allows businesses to optimize their inventory and reduce stockouts or overstocking.
- Discount and Promotion Tracking: Automated scraping of coupon data and promotional offers help you stay on top of the latest deals.
- SEO and Content Creation: Analyzing Walmart’s product descriptions and keywords can inform SEO strategies and content creation for other e-commerce sites.
Why You Need a Scraper API
To effectively track products, pricing, and reviews at scale, you need an automated solution like a Scraper API. While some developers attempt to build and maintain their own scraping tools, this requires ongoing maintenance and monitoring. Affordable solutions like Traject Data offer a cost-effective and hassle-free alternative. With Traject Data, you’ll get scalability, reliability, reduced maintenance, legal compliance, structured data, and support.
Getting Started with Traject Data’s Walmart Scraper API
Traject Data’s BlueCart API is an API to retrieve public-domain data from Walmart in real-time. You can use BlueCart API to retrieve products, reviews, search results, autocomplete results and category listings from Walmart.
BlueCart API returns clean, structured JSON
or CSV
results. You can achieve fine-grained control over your request using the request parameters.
Retrieving Search Results for Products on Walmart
Getting search result Walmart data with BlueCart API is as simple as making an HTTP GET
request to the request endpoint. The only required parameters are api_key
(sign up for free to get an API key) and type
(which defines the type of Walmart data you’d like to retrieve). For example, to retrieve search results ( type=search
) for the search term highlighter pens , ordered by best selling products ( sort_by=best_seller
) the BlueCart API request would be:
https://api.bluecartapi.com/request?api_key=demo&type=search&search_term=highlighter+pens&sort_by=best_seller
The search results are shown within the search_results array. For full documentation on the search results response see the Search Results docs.
Getting Data for an Individual Product
Lets say we want to change our query to request a different type of data – information on a specific product, in this case the product with Item ID 27672251 on walmart.com . Here’s the BlueCart API request to achieve that:
https://api.bluecartapi.com/request?api_key=demo&type=product&item_id=27672251
Localizing Results to a Zipcode or Postal Code BlueCart API allows you to retrieve results as they would be seen by a user in a given zipcode or postal code by specifying the zipcode or postal code in the customer_zipcode
request parameter.
For example, to request results as they would be seen by a user in US zipcode 77001 you should append the customer_zipcode=77001
request parameter.
For more documentation Traject Data’s Bluecart API visit our Help Center.
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