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Walmart
Scraping Teardown

Find out everything you need to know to reliably scrape Walmart,
including scraping guides, Github Repos, proxy performance and more.

Walmart Web Scraping Overview

Walmart implements multiple layers of protection to prevent automated data extraction. This section provides an overview of its anti-bot systems and common challenges faced when scraping, along with insights into how these protections work and potential strategies to navigate them.

Scraping Summary

Walmart is a global multichannel retailer with a comprehensive product catalog ranging from groceries to electronics. Hence, it's a popular choice among web scrapers for extracting product data, shopper reviews, and price information. Walmart incorporates certain anti-scraping mechanisms such as irregular page structure changes and CAPTCHA challenges to combat non-human traffic.

Preliminary research reveals that Walmart employs dynamic CSS classes that add a layer of complexity in targeting web elements, making it moderately difficult for scraping via parsing. To effectively scrape Walmart, it would need an understanding of javascript and automation tools such as Selenium or Puppeteer to handle the dynamic contents. From an access perspective, data is openly accessible and doesn't seem to require specific proxies, though rotating IPs can reduce the chances of getting blocked.

9 / 10

Scraping Difficulty
The difficulty score indicates how easy the website is to scrape.

Best Walmart Proxies

Proxy statistics and optimal proxy providers for scraping Walmart. Learn which proxy types work best, their success rates, and how to minimize bans with the right provider.

P

Proxy API Providers

Compare the top proxy providers for scraping Walmart. See which providers offer the best performance, success rates, and value for your web scraping needs.

Best Provider:
Scrapingant
Cost Per Million:
$190
Success Rate:
68%
Avg. Success Latency:
22.8s

ScrapeOps Proxy API Aggregator

Use over 20+ web scraping proxy API providers from a single proxy port. The ScrapeOps Proxy API Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Proxy API Comparison

Compare multiple proxy providers side-by-side using the last 7 days of Walmart proxy performance data gathered with the ScrapeOps Proxy API Aggregator.

Best Provider
Scrapingant
Best Performance
Scrapingdog
Best Success Rate
Scrapingfish
Cheapest
Scrapingant
Proxy ProviderEnabled Functionality
Cost/
Performance Score
Success Rate
Avg. Success
Latency
API Credits
CPM
Provider Plan
ScrapeOpsAccess all providers above through the ScrapeOps Proxy API Aggregator. We automatically match you to the best provider for each request. Learn more →
Scrapingant-44.968%22.8s1 credit$190
Enthusiast
($19/month)
ScrapingBee-16.623%8.1s1 credit$327
Freelance
($49/month)
Scrapingdog-9.720%7.1s6 credits$540
Standard
($90/month)
Scrape.Do
JS Rendering
9.470%18.3s5 credits$990
Pro
($99/month)
Zenscrape
Residential
5.698%10.2s20 credits$1,660
Large
($249/month)
ZenRows
ResidentialJS Rendering
2.743%12.0s25 credits$2,500
Business
($299/month)
Scrapingfish-0.8100%8.4s36 credits$72,000-
R

Residential Proxy Providers

Compare the top residential and mobile proxy providers for scraping Walmart. See which providers offer the best performance, success rates, and value for your web scraping needs.

Best Provider:
Coming Soon
Cost Per Million:
Coming Soon
Success Rate:
Coming Soon
Avg. Success Latency:
Coming Soon

ScrapeOps Residential Proxy Aggregator

Use over 20+ residential & mobile proxy providers from a single proxy port. The ScrapeOps Residential Proxy Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Residential Proxy Performance Comparisons

We're working on bringing you comprehensive residential and mobile proxy provider comparisons. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best residential proxy provider for scraping Walmart.

Walmart Anti-Bots

Anti-scraping systems used by Walmart to prevent web scraping. These systems can make it harder and more expensive to scrape the website but can be bypassed with the right tools and strategies.

Detected 3 Anti-bot systems

Cloudflare

Cloudflare provides CDN, cloud cybersecurity, and DDoS mitigation services. Bypassing Cloudflare's protections depends heavily on the which Cloudflare services the website has enabled and the settings they have them set to.

8/ 10

Bypass Difficulty

Bypass Options

Akamai

Akamai Bot Manager is a bot detection and blocking system that is able to detect bad bots whilst leaving good bots through. Akamai Bot manager can be bypassed using a number of bypassing techniques.

9/ 10

Bypass Difficulty

Bypass Options

PerimeterX

PerimeterX (now part of Human) is a anti-bot solution designed to detect and stop sophisticated bot attacks, fraud, and account abuse. Whislt it is sophisticated, PerimeterX can be reliably bypassed with the right bypassing techniques.

8/ 10

Bypass Difficulty

Bypass Options

Walmart Data

Explore the key data types available for scraping and alternative methods such as public APIs, to streamline your web data extraction process.

Data Types

No data types found

Public APIs

Available
Free API

API Description

Walmart, one of the leading multinational retail corporations, provides a public API primarily designed to serve affiliate partners. The API includes services such as product search, product lookup, and taxonomy, making it ideal for developers looking for specific product information including images, sales price, and customer ratings.However, this API is not exhaustive and does not offer access to all the data available on Walmart's website like transaction data or user activity data. Hence, to extract such information, web scraping is often employed as a complementary approach.

Access Requirements

To access the Walmart API, developers need to sign up for an affiliate account. However, not all requests may be granted access especially if they do not meet Walmart's specific affiliate prerequisites.

API Data Available

Product Data
Product Search Data
Category Data

Why People Use Web Scraping?

Although Walmart provides a public API for developers, it covers primarily product-related data for affiliate partners. Unfortunately, it's not as comprehensive and does not offer access to several probable data types that developers might be interested in, such as transaction data, user-specific data, and user behavior data among others.This limitation causes developers to resort to web scraping — a technique used to extract data directly from websites — to access a broader range of information from Walmart's website. Web scraping therefore complements the use of the public API by providing a way to extract additional data that isn't otherwise accessible through the API.

Walmart Lawsuits

Legal Actions Against Scrapers: A history of lawsuits filed by the website owner against scrapers and related entities, highlighting legal disputes, claims, and outcomes.

Lawsuits Summary

Walmart has been involved in one legal dispute related to web scraping, targeting a company or individual who scraped its product data, pricing information, or customer reviews without authorization.

Found 1 lawsuits

Walmart Inc. v. Bright Data Ltd.
settled

Walmart sued Bright Data (formerly Luminati Networks) for scraping product data from its website. The case centered around whether scraping publicly available data from Walmart's website constituted a violation of the Computer Fraud and Abuse Act (CFAA) and Walmart's terms of service.This lawsuit highlighted the ongoing legal debate surrounding web scraping practices and the interpretation of the CFAA in the context of publicly accessible data.

Plaintiff

Walmart Inc.

Defendant

Bright Data Ltd. (formerly Luminati Networks)

Date filed

15 Jul 2020 - 30 Sep 2021

Legal Basis
Unauthorized Access
More Links

www.reuters.com

Walmart Github Repos

Find the best open-source scrapers for Walmart on Github. Clone them and start scraping straight away.

Language
Code Level
Stars
Maintained
Last updated 3 months ago

Walmart Scraper is a data extraction tool that enables real-time retrieval of Walmart website content. It effortlessly delivers structured output for various Walmart page types, including products and offers.


Page Types: Product Page, Product Search, Category Page

Language:
java
Code Level:
immediate
Created
3 years ago
5 Stars
2 Forks
Last updated 9 months ago

Wired Coupon Automation Tool is a scraper that retrieves the latest coupons and promo codes from various retailers like Walmart and eBay. Although the project is archived due to website changes, it originally facilitated users in accessing promotional offers efficiently.


Page Types: Product Page

Language:
python
Code Level:
immediate
Created
2 years ago
34 Stars
11 Forks
Last updated 2 years ago

ecommerce-scraper-js is a versatile tool that facilitates the extraction of product listings from multiple e-commerce platforms. It enables users to seamlessly scrape data from Amazon, eBay, Walmart, Home Depot, and Google Shopping through a single JavaScript module.


Page Types: Product Page, Product Search

Language:
javascript
Code Level:
professional
Created
2 years ago
6 Stars
2 Forks
Unmaintained
Last updated 2 years ago

TS-Walmart-Scraper is a web scraping tool that allows users to extract relevant data points from products on walmart.com. The scraper can handle inputs such as category URLs, brand URLs, search keywords, and specific product URLs to gather comprehensive product information.


Page Types: Product Page, Category Page, Product Search

Language:
typescript
Code Level:
immediate
Created
2 years ago
17 Stars
9 Forks
Unmaintained
Last updated 3 years ago

Walmart CA webscraper is a tool that extracts data from the Walmart Canada website. It utilizes the Scrapy framework to efficiently crawl and gather information.

Language:
python
Code Level:
beginner
Created
5 years ago
4 Stars
0 Forks
Last updated 3 years ago

walmart-python-scrapy-scraper is a web scraper designed to extract product data from Walmart.com, including various attributes like brand, price, and ratings. It serves as a robust tool for developers to monitor and customize their scraping of Walmart products for personal or commercial use.


Page Types: Product Page, Product Search

Language:
python
Code Level:
immediate
Created
3 years ago
13 Stars
7 Forks
Unmaintained
Last updated 7 years ago

Walmart Coupons is a web scraper designed to extract coupon details from Walmart store locations. It facilitates the retrieval of various coupon attributes such as discounted price, category, brand, and more using Python 3.


Page Types: Product Page

Language:
python
Code Level:
immediate
Created
7 years ago
14 Stars
4 Forks
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Walmart Web Scraping Articles

Find the best web scraping articles for Walmart. Learn how to get started scraping Walmart.

Language
Code Level

How to scrape Walmart data with Python

This article demonstrates how to scrape Walmart product data using Apify's E-commerce Scraping Tool and Python. It guides users through the setup, API integration, and code implementation necessary to retrieve structured e-commerce data efficiently.

python

1 min to read

apify.com

How to Scrape Walmart How to Scrape Walmart Product Page Details with Python? - DEV Community

This tutorial shows how to scrape product details from Walmart's website using Python, allowing users to gather information such as prices, descriptions, and ratings. By leveraging libraries like BeautifulSoup and Playwright, it provides a comprehensive guide to building a web scraper that avoids common pitfalls of anti-bot measures.

python

1 min to read

dev.to

How to Scrape Walmart in 2025: A Step-by-Step Tutorial

This tutorial shows how to scrape Walmart product data using Python that enables users to collect valuable insights on pricing and product descriptions. It covers setup, avoidance of bot detection, data extraction, and exporting results to a CSV file.

python

Published
10 months ago

27 min to read

oxylabs.io

How to Scrape Walmart.com Product Data (2025 Update)

This tutorial explains how to scrape Walmart.com product data using Python, detailing techniques for efficient data extraction while avoiding website blocking. It covers project setup, working with both product and search pages, and strategies for dealing with pagination limits.

python

1 min to read

scrapfly.io

How Web Scraping Is Used To Extract Walmart Product Reviews And Ratings? | by ReviewGators | Medium

This guide shows how to create a web scraper that extracts product reviews and ratings from Walmart using Selenium. It provides step-by-step instructions on setting up the scraper and the process of collecting and cleaning review data from Walmart's website.

python

1 min to read

medium.com

In-Depth Guide to the Walmart API

This guide explores Walmart's extensive API ecosystem, providing insights into its functionalities for sellers, suppliers, and partners, and highlights the potential for web scraping as an alternative to direct API access. It emphasizes the importance of adhering to legal and ethical guidelines in web scraping practices.

python

1 min to read

scrapfly.io

How to Web Scrape Walmart? | Scrape.do | Scrape.do

This guide shows how to scrape Walmart to gain insights into pricing, product trends, and competitor strategies. Utilizing web scraping can provide valuable data that aids businesses in making informed decisions in a competitive landscape.

Published
1 year ago

18 min to read

scrape.do

Page 1 of 15

Walmart Web Scraping Videos

Find the best web scraping videos for Walmart. Learn how to get started scraping Walmart.

Language
Code Level

This tutorial demonstrates how to scrape Walmart product data using Scrapingdog's Walmart scraper API, highlighting its capabilities for tracking prices and comparing them with competitors. Users can access a blog post for a deeper understanding and obtain 1,000 free API credits by signing up on Scrapingdog's website.

Python
Scrapingdog API
Published
10 months ago
2 min Length
1 Likes
364 Views

This tutorial teaches how to effectively scrape brand and product data from Walmart's Brand Shop by analyzing page elements. It also demonstrates the use of Chrome DevTools and ChatGPT for planning the scraping approach and troubleshooting issues.

Published
1 year ago
3 min Length
0 Likes
41 Views

This tutorial teaches viewers how to scrape product data from Walmart using Google Sheets, covering both a template method and a step-by-step tutorial approach. Specific data selectors such as title, price, ratings, and reviews_count are highlighted for extracting information effectively.

Published
1 year ago
3 min Length
22 Likes
1.1K Views

This tutorial demonstrates how to scrape product information from the Walmart e-commerce website, focusing on extracting details such as product size, price, delivery time, and seller ratings. The scraped data is formatted in a simple CSV format for easy analysis of market trends.

Published
2 years ago
2 min Length
2 Likes
389 Views

This video tutorial teaches viewers how to scrape product data from Walmart's website and save it into a CSV file for easier analysis. It covers the use of Python libraries like BeautifulSoup and Scrapy to efficiently extract product listings and information.

python
beautifulsoup4
scrapy
Published
2 years ago
10 min Length
45 Likes
3.9K Views

This tutorial teaches viewers how to scrape product data from Walmart and export it to a CSV file. Additionally, it covers methods for importing these products into Shopify.

Published
2 years ago
10 min Length
6 Likes
615 Views

In this video, the process of scraping product details from the e-commerce website Walmart.com using Python and the BeautifulSoup library is demonstrated. The code exhibits a professional level of sophistication as it includes handling CAPTCHA bypassing and making HTTP requests to gather product names, ratings, and prices.

Python
BeautifulSoup
Requests
Published
3 years ago
20 min Length
21 Likes
933 Views
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