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Deep dives into web data infrastructure, extraction techniques, and the future of structured data at scale.
155 articles
TL;DR: This is the complete guide for web scraping using Elixir. Learn how to build a web scraper using one of the best programming languages for concurrency.
TL;DR: Rust is a fast and memory-efficient language. But how does it handle web scraping? Check out this beginner-friendly guide and find out how you can use it to build a basic web scraper.
TL;DR: Build a Go scraper that extracts book records to JSON. Follow a tested example with goquery, then plan pagination, Colly, browser rendering, and error handling.
TL;DR: Compare Web Scraper, Browse AI, Apify, and Scrapy by retained work. Use a controlled repairability test and verify the complete delivery before replacing Octoparse.
TL;DR: For web scraping in C#, start on .NET 10 with the built-in HttpClient to download pages and AngleSharp to parse HTML with CSS selectors. Pick HtmlAgilityPack when you prefer XPath or maintain older code, and add Playwright for .NET when JavaScript builds the page. This guide builds one scraper with polite retries, bounded crawling, CSV and JSON export, and offline tests.
TL;DR: The best Node.js web scrapers in 2026 split into two camps: HTTP clients like Axios and Superagent for static pages, and headless browsers like Puppeteer and Playwright for JavaScript-heavy sites. Pick by workflow, not popularity, and offload rendering to a managed scraping API once anti-bot defenses or scale start eating your engineering time.
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