Scrape a specific site
Site-by-site guides with the fields you get, the method that works, and runnable code in PHP, Node.js and Rust.
E-commerce
E-commerce overview →Travel
Travel overview →Social media
Social media overview →Search and real estate
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See which tools and guides fit e-commerce, travel, social and B2B research.
Web scraping powers everything from price intelligence to market research — but every industry and target site brings its own challenges. These solution guides pair practical strategy with ready-to-run code samples in PHP, Node.js, and Rust, so you can go from idea to working scraper fast.
Start with our E-commerce overview, then jump into a hands-on tracker for Amazon, Walmart, AliExpress, or Alibaba — or scrape search results with our Google Search guide.
Working with travel or social data? Our Travel Data Scraping pillar covers the full landscape — with deep dives into Airbnb, Booking.com, and Kayak flight prices. On the social side, our Social Media Scraping pillar ties together public data collection from TikTok, Instagram, Facebook, and LinkedIn. Extending that reach, the YouTube Scraping guide shows how to extract video titles, view counts, and channel metadata from YouTube's embedded JSON-LD VideoObject blocks.
Want to tap into community sentiment and trend signals? The Reddit Scraping guide shows how to extract public subreddits, posts, and comments using Reddit's built-in JSON endpoints.
Tracking US real estate prices or rental rates? The Zillow Scraping guide pulls listing prices, bedroom counts, and Zestimates from the embedded Next.js JSON on Zillow property pages.
Looking for another marketplace target? The Etsy Product Scraping guide shows how to extract prices, ratings, and seller details from Etsy listings using the same JSON-LD approach that works on Amazon and eBay, and the Mercari Scraper guide covers resale listings and sold prices on a Cloudflare-protected marketplace.
Need review and rating data for hotels and restaurants? The TripAdvisor Scraping guide extracts structured venue data — ratings, review counts, price tiers, and addresses — from TripAdvisor's embedded JSON-LD blocks, with code in PHP, Node.js, and Rust.
Not sure where to start? The Web Scraping Use Cases overview maps every major vertical — e-commerce, travel, social, B2B, and market research — to the right tools and guides.