apify/crawlee-python Alternatives

Choose for a lightweight Python scraping framework with a smaller dependency footprint than Crawlee and similar request/browser automation coverage.

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Choose for a mature Python scraping framework with a huge extension ecosystem; it lacks built-in browser automation but covers most crawling needs.

Scrapy, a fast high-level web crawling & scraping framework for Python.

Choose when you need the same Crawlee features but in a Node.js/TypeScript project instead of Python.

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

Choose for a TypeScript crawler focused on LLM-ready data and SERP extraction with built-in multi-threading.

AnyCrawl 🚀: A Node.js/TypeScript crawler that turns websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc. Native multi-threading for bulk processing.

Choose for a PHP crawler framework when your stack is PHP.

:spider: The progressive PHP crawler framework! 优雅的渐进式PHP采集框架。

Choose for high-performance crawling in Rust with low resource consumption.

Get web data for AI agents and LLMs - fast, efficient, and reliable with Rust

Choose when you want LLM-powered natural-language extraction rather than hand-coded selectors.

Python scraper based on AI

Choose for a Go crawling framework with clean APIs and easy concurrency if your project is in Go.

Elegant Scraper and Crawler Framework for Golang

Choose for a Java web crawler framework when integrating into a Java enterprise stack.

A scalable web crawler framework for Java.

Choose for lightweight LLM-based scraping in Python when you want a smaller library than Scrapegraph-ai.

Lightweight library for scraping web-sites with LLMs

Choose for Go crawling with JavaScript rendering via external tools, if Go is your primary language.

Geziyor, blazing fast web crawling & scraping framework for Go. Supports JS rendering.

Choose for an Elixir-based crawling framework using actor-model concurrency.

Crawly, a high-level web crawling & scraping framework for Elixir.

Choose for a PHP library with structured crawler/scraper development when working in PHP.

Library for Rapid (Web) Crawler and Scraper Development

Choose for quick, small scraping tasks where you want automatic selector learning and no crawling/browser infrastructure.

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Choose for extracting clean text/metadata from pages without building a full crawler; it is fast and minimal.

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

Choose when you prefer Oxylabs' hosted AI scraping API over maintaining your own crawler library.

Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM agents with fresh data. AI Studio python SDK for intelligent web data gathering.

Choose when you want an off-the-shelf AI crawler service accessed via natural language prompts.

Crawl a website starting from a URL, find relevant pages, and extract data – all guided by your natural language prompt.

Choose when you want a self-hosted anti-detect scraping API server rather than embedding a library.

Open-source web scraping API. Turn any website into clean markdown or structured JSON. Anti-detect browser, proxy auto-selection, self-hosted. One command: make up

Choose when you need a standalone Rust CLI/API/MCP server for content extraction, not a Python library.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

Choose when you want a ready-to-use web scraping API/service for AI agents instead of writing crawler code.

Open source web infrastructure for AI. Scrape, crawl, and automate the web, clean markdown, browser sessions, ready for your agents.

Choose when you want a hosted scraping API with search and crawl endpoints at scale, rather than self-managing a crawler.

The context API to search, scrape, and interact with the web at scale. 🔥

Choose when you need to connect AI agents to Bright Data's scraping infrastructure via MCP.

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Choose when you want Oxylabs' AI scraping service integrated through a Python client.

AI Scraper is a powerful scraping tool and scrape agent built to automate data extraction with unmatched precision. Ideal for scalable AI scraping tasks across diverse web sources, this tool simplifies complex scraping operations into efficient, intelligent workflows.

Choose when you need a lightweight self-hosted Firecrawl-compatible API server in Rust.

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary. Self-host or use managed cloud.

Choose when you want a hosted/remote-browser crawler API that outputs clean Markdown for LLMs.

High-performance web crawler API optimized for LLMs. Turn any search or website into clean Markdown using remote browsers. Firecrawl alternative