Alternatives
Products that do what AnyCrawl does
Anycrawl is a high-performance alternative to Firecrawl
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Our most accurate Search API for AI agents.
Jul 2026 · docs.firecrawl.dev
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While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date markdown we could feed into our index. So, we released an open-source repo and an API that crawls and turns entire websites into a markdown with just a few lines of code The API handles: - Crawling without consistent sitemaps - Infra to handle running many crawling jobs - Proxying,…
2024 · firecrawl.dev
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Sep 2025 · anycrap.shop
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We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
2025 · github.com
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Firecrawl Simple is a stripped down and stable version of firecrawl optimized for self-hosting and ease of contribution. The upstream firecrawl repo contains the following blurb: >This repository is in development, and we're still integrating custom modules into the mono repo. It's not fully ready for self-hosted deployment yet, but you can run it locally. Firecrawl's API surface and general functionality were ideal for our Trieve sitesearch product, but we needed a version ready for self-hosting that was easy to contribute to and scale on Kubernetes. Therefore, we decided to fork and begin…
2024 · github.com
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Hey HN! This is Tim from AnythingLLM (https://github.com/Mintplex-Labs/anything-llm). AnythingLLM is an open-source desktop assistant that brings together RAG (Retrieval-Augmented Generation), agents, embeddings, vector databases, and more—all in one seamless package. We built AnythingLLM over the last year iterating and iterating from user feedback. Our primary mission is to enable people with a layperson understanding of AI to be able to use AI with little to no setup for either themselves, their jobs, or just to try out using AI as an assistant but with *privacy by…
2024 · github.com
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An index for agents pushing the frontier of AI/ML research
Jun 2026 · docs.firecrawl.dev
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2021 · per.quest
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We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com
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