Keywords AI
Discover the top alternatives to Firecrawl in the Web Scraping space. Compare features and find the right tool for your needs.
Apify is a full-stack web scraping and automation platform with a marketplace of 6,000+ pre-built scrapers (Actors). It provides managed browser infrastructure, proxy rotation, and data storage for large-scale web data extraction. Apify is widely used for feeding web data into AI applications and RAG pipelines.
Bright Data is an enterprise-grade web data platform providing proxy infrastructure, browser automation, and ready-made datasets for AI training. Serving Fortune 500 companies, it offers Web Scraper IDE, Scraping Browser with AI capabilities, and pre-collected datasets from major websites.
Crawl4AI is an open-source, LLM-friendly web crawler that became the #1 trending GitHub repository. It provides asynchronous parallel crawling, structured data extraction, and markdown conversion optimized for feeding content into LLMs and RAG pipelines.
Jina AI provides APIs for search foundation—embedding models, rerankers, web readers, and data processing. Their Reader API converts any URL to clean LLM-ready text, while their embedding and reranker models power semantic search systems. Jina also develops open-source search infrastructure and multimodal AI models.
Spider is a high-performance web crawler built in Rust that can crawl thousands of pages per second. It provides LLM-ready output formats, JavaScript rendering, and anti-bot bypassing, making it ideal for large-scale web data collection for AI applications.
ScrapeGraphAI is an open-source web scraping library that uses LLMs to automatically extract structured data from websites. Instead of writing CSS selectors or XPath queries, developers describe what data they want in natural language. Supports multiple LLM providers and handles dynamic JavaScript-rendered pages.