Best Jina.ai alternatives
Find the best alternatives to Jina.ai that help you search, crawl, chunk, and embed web data for AI-powered RAG and semantic search.

RAG Web Browser
RAG Web Browser starts with a Google query, grabs the top search results you choose (e.g., the first 10 links), and converts each page into clean, chunked Markdown. The API response already includes titles, URLs, and text blocks, so you can push it straight to a vector DB or feed it to OpenAI Assistants via Model Context Protocol (MCP). It runs headless Chrome under the hood, bypasses anti-bot measures with proxies and browser fingerprints, and supports both dynamic and static sites, making it a drop-in “search-and-scrape” step for any Jina-style pipeline.
Crawl4AI
Crawl4AI is an async Python crawler built for LLM workloads. It outputs noise-free Markdown or JSON, supports CSS/XPath or LLM-driven extraction, and (since v0.6) adds Regex extraction plus chunk-level BM25 scoring. You self-host it, so you’re free to run on-prem, attach your own embedding model, or bolt on a custom reranker.

Firecrawl
Firecrawl is a SaaS API that takes a single URL (and every internal link it finds) and returns clean Markdown or structured JSON. It executes client-side JavaScript, deduplicates boilerplate, and can handle sitemaps or ad hoc URLs. It’s ideal when you need fast page-to-vector text without running infrastructure.

LLM Scraper
LLM Scraper is a TypeScript library that turns any page into a JSON schema you define, using OpenAI function calling under the hood. Version 1.6 adds Vercel AI SDK 4 support, better type safety, and code-generation helpers. Perfect when you want structured entities (prices, specs, FAQs) instead of free-form embeddings.

GPT-Crawler
GPT-Crawler uses Playwright to crawl documentation sites and automatically produces a “knowledge file” (Markdown + metadata JSON) that you can upload directly to ChatGPT Custom GPTs or the Assistants API. If you’re migrating knowledge bases into GPT storefronts, it’s plug-and-play.

ScrapeGraphAI
Describe your extraction flow in natural language (“scroll, click, paginate”), and ScrapeGraphAI converts it into an LLM-directed graph and executes it asynchronously in a browser. It handles login-gated or multi-step sites that break conventional crawlers and exports JSON, CSV, or Pandas for downstream embedding.

Website Content Crawler
Website Content Crawler is Apify’s flagship deep crawler. It strips headers/footers, solves CAPTCHAs, downloads linked files, and exports Markdown, plain text, or HTML. Built-in connectors for LangChain, LlamaIndex, Hugging Face, and major vector stores let you stream the output straight into your RAG pipeline. This makes it a solid alternative to Jina.ai for enterprise-scale volume without managing servers.

RAG Web Browser
Search-first
Google query + crawl
Vector-ready output
Chunked Markdown
JavaScript handling
Headless browser
Scalability
Cloud Actor
Proxy rotation
Built-in
Best for
Search-first RAG pipelines
Search-first
Vector-ready output
JavaScript handling
Scalability
Proxy rotation
Best for
RAG Web Browser
Google query + crawl
Chunked Markdown
Headless browser
Cloud Actor
Built-in
Search-first RAG pipelines
Crawl4AI
Sitemap / list input
Markdown / JSON
Async browser
Self-host + async
External setup
Open-source crawling
Firecrawl
Markdown
Headless browser
SaaS API
External setup
Quick Markdown API
LLM Scraper
JSON schema
Depends on puppeteer
Library-level
Schema-driven JSON
GPT-Crawler
Knowledge file
Headless browser
Self-host or cloud
Yes
Docs→GPT upload
Scrape GraphAI
JSON / CSV
Full browser control
Distributed agents
Yes
Complex multi-step flows
Website Content Crawler
Markdown / HTML
Headless Chrome
Cloud Actor
Yes
Large, multi-site crawls
Your search ends here
You can try RAG Web Browser and Website Content Crawler for free on Apify Store. Sign up for a free plan and start getting better data for AI.