About

This project successfully scrapes comprehensive product data from Walmart.com, including product information, pricing, reviews, availability, images, and return policies. The scraper provides structured data in JSON format, making it easy to analyze product catalogs, pricing trends, and customer feedback.

The solution extracts complete product details including product IDs, names, categories, prices, ratings, reviews, images, descriptions, and seller information.

Challenge

Walmart.com implements multiple security layers to prevent automated data extraction:

• IP Blocking: Automatic blocking of suspicious IP addresses
• Press & Hold Captcha: Advanced captcha mechanism requiring human interaction
• PerimeterX: Bot detection and mitigation system
• Akamai Bot Manager: Additional layer of bot protection
• Rate Limiting: Restrictions on request frequency

These security measures required advanced bypassing techniques including IP rotation, custom headers, user-agent manipulation, and sophisticated captcha handling.

Solution

High level architecture of the application.

The solution employs advanced techniques to successfully extract data:

• IP Rotation: Randomly changing IP addresses using proxy rotation to avoid detection
• Custom Headers & User-Agents: Mimicking regular web traffic patterns to reduce bot suspicion
• Captcha Bypass: Successfully managed Press & Hold captchas by manipulating IPs and headers
• Comprehensive Data Extraction: Collects product IDs, URLs, names, categories, prices, availability status, ratings, reviews, images, descriptions, return policies, and seller information

The scraper provides structured JSON data with nested objects for reviews, return policies, and product images, making it easy to integrate into data analysis pipelines or business intelligence systems.

Visit website

Technologies

Python

Selenium

BeautifulSoup

Scrapy