Technical deep dives on web extraction, content parsing for LLMs, anti-bot bypass, and building open-source infrastructure in Rust. Written by the team behind webclaw.
webclaw turns any website into clean, structured content for AI applications. These posts cover the engineering decisions, trade-offs, and lessons learned building a web extraction toolkit from scratch.

Xpath contains text - Master XPath `contains text` for reliable web scraping. Covers syntax, pitfalls (whitespace, case-sensitivity), & alternatives

A developer-focused guide on using proxies for Google scraping. Learn to choose residential vs. datacenter proxies, manage rotation, and bypass blocks in 2026.

Need a text extractor from website that handles modern JS sites and bot blocking? This guide shows how to get clean, LLM-ready text using Python or an API.

Choose and configure a proxy for downloads. This guide covers residential vs. datacenter options, performance, and large file handling for reliable data

Route self-hosted webclaw scrapes through ColdProxy residential proxies with rotation and geo-targeting. Setup, pool files, and crawl commands.

Explore what a web search API is in 2026. Learn about architectures, features, and how to integrate one for AI agents, RAG, and clean data extraction.

Learn modern methods for downloading HTML files. This guide covers browser saving, curl/wget, headless browsers for JS, and APIs for developers and AI.

Master R programming web scraping. This guide covers rvest, dynamic sites with RSelenium, anti-scraping, and how to build reliable data pipelines for AI.

Playwright vs Puppeteer: Which to choose in 2026? A technical guide on performance, APIs, and when to use a scraping API like Webclaw instead.
Cancel anytime. Turn any page into clean, structured content your agent can actually use.