Web Scraping

Moli is a production-ready, structured-first browser engine for AI agents, written in pure Rust. It runs real JavaScript, DOM, and browser APIs by default, but computes layout or pixels only when you ask — a cost model built for crawling, browser-use, and retrieval workloads. In a 192-URL crawl it beat Chrome Headless on useful-page rate while using roughly 10x less memory. What Is Moli? A Structured-First Browser Engine for AI Agents Moli is not another Chromium wrapper. It is a browser kernel built from the ground up in Rust, designed around a single idea: AI agents mostly want the structure of a page — the DOM, the computed styles, the text — not a rendered picture of it. Traditional headless browsers spend enormous effort producing pixels that most agent workloads never look at. ...

BrowserAct is an open-source browser automation platform purpose-built for AI agents, offering anti-detection capabilities, persistent session management, parallel execution, and a SkillHub marketplace with over 100,000 reusable skills. Unlike traditional testing frameworks or data extraction tools, BrowserAct solves the “last mile” problem of AI agents: actually executing actions inside real, protected, and dynamic web interfaces without getting blocked, losing state, or breaking on every page change. What Is BrowserAct? — The Browser Layer for AI Agents BrowserAct positions itself as a new category of infrastructure: the browser layer for AI agents. While most AI agent frameworks focus on reasoning, planning, and tool calling, they consistently fail at the execution layer — actually navigating real websites that employ Cloudflare, reCAPTCHA, Datadome, login walls, and session timeouts. ...

BeHive is an open-source, MCP-native deep research engine that transforms how AI agents and developers extract structured knowledge from the web. Unlike traditional research tools that produce plain text reports, BeHive generates quality-scored knowledge graphs — complete with entities, relationships, and deduplicated claims — by orchestrating 70+ specialized API sources through a five-stage pipeline. It is free under the MIT license and costs only your LLM API tokens to run. ...

If your AI coding agent needs to read a web page, take a screenshot, or crawl a site, you have two options: run a local browser stack (Playwright, Puppeteer) or call a hosted browser API. Cloudflare’s Browser Rendering MCP server splits the difference — it gives you a managed browser in the cloud, exposed as MCP tools your agent can call directly. I’ve been testing all three Cloudflare browser paths — the official Browser Rendering MCP server, the @cloudflare/playwright-mcp Worker, and the CDP-based chrome-devtools-mcp setup — across Claude Code, Cursor, and OpenCode. Here’s what works, what doesn’t, and how to pick the right path. ...