E-commerce Scraping
E-commerce scraping is the process of extracting data from online marketplaces and retail sites, such as product listings, pricing, availability, and reviews, to gain market intelligence, pricing strategy, and competition tracking. We benchmarked the top scrapers to evaluate their accuracy, speed, and ability to handle anti-bot protections.
Performance Comparison of the Best E-commerce Scrapers
We benchmarked 16 web scrapers from 5 leading web data infrastructure providers to scrape top e-commerce websites like Walmart and Amazon in 7 different countries.
Web Scraping Craigslist: Top 5 Craigslist Scrapers in 2025
Businesses scrape Craigslist for a variety of reasons, including market research, job recruitment, real estate analysis, and generating leads. This article explains how to extract data from Craigslist, as well as the top scrapers for Craigslist scraping and their pricing structures.
Best Amazon Scraper APIs Ranked by Performance in 2025
We benchmarked top Amazon scraping APIs over 1,400 URLs from 7 Amazon domains and identified the most reliable and cost-efficient data extraction solutions.
How to Scrape Data from Walmart: Top Scraper APIs [2025]
We benchmarked the leading Walmart scraper APIs, analyzing 2 batches of requests to 200 URLs from product and search pages during Dec 2024 and Jan 2025, totaling 2,000 requests: This guide provides step-by-step instructions on how to scrape Walmart’s product pages using Python and various other tools.
The Ultimate Guide to Review Scraping in 2025
A variety of factors influence consumers’ purchasing decisions. Ratings and customer reviews are the primary factors that influence customer purchasing decisions. Before making a purchase, 95% of customers read product reviews. Businesses, on the other hand, struggle to collect a large number of customer reviews from various websites.
How to Scrape Amazon Product Data with Python in 2025
Amazon employs strict bot detection mechanisms to block any web scraping activity. Simple modifications, such as adding headers, setting delays, or using custom user-agent strings, are insufficient to bypass these defenses. To evaluate which approach is most effective for scraping the Amazon website, we tested various methods using Python libraries, residential proxies, and unblocker services.
Web Scraping in Real Estate: Top 5 Use Cases & Data Sources
Big data is changing the face of the real estate industry as more businesses are trying to implement data-driven decision making strategies to multiply profits, increase customer satisfaction, and mitigate market risks.