ScrapingBee
Developer-friendly web scraping API that handles headless browsers and proxies
Prepend a URL to get clean, LLM-ready Markdown from any web page
Jina Reader is one of the simplest ways to get LLM-ready text from a URL, and the prepend-the-URL pattern is delightfully low-friction. The free no-key tier is great for prototyping, and per-token pricing is very cheap at scale. It handles single pages well but is not a full crawler, so pair it with something else for deep site crawling. Best for developers who just need clean Markdown from known URLs.
Jina Reader (r.jina.ai) turns any URL into clean, LLM-ready Markdown or JSON by prepending its endpoint, with a free no-key tier and very low per-token pricing at scale.
Jina Reader is part of Jina AI's search foundation stack and solves a common problem in AI apps: getting clean, prompt-ready text from web pages. Prepend https://r.jina.ai/ to any URL and it returns the page as Markdown with images, ads, and navigation stripped, ideal for feeding into an LLM or RAG system without writing custom scraping code. Behind it, ReaderLM-v2 is a compact model specialized in HTML-to-Markdown and HTML-to-JSON conversion, handling documents up to 512K tokens across 29 languages. Reader is free for basic, rate-limited usage without an API key; supplying a key raises limits and charges tokens by content length, with paid plans and very low per-token pricing for scale.
Jina Reader turns any URL into clean, LLM-ready Markdown or JSON by prepending r.jina.ai, with a free no-key tier and per-token pricing near $0.02/1M tokens.
Jina Reader is part of Jina AI's search foundation stack, a company building open and API-based infrastructure for AI search and retrieval. Reader targets the specific need of getting prompt-ready text from web pages.
Jina develops the ReaderLM models that power the conversion, positioning Reader as low-cost, developer-friendly infrastructure for RAG and agent pipelines.
Reader converts any URL to clean Markdown by prepending its endpoint, stripping boilerplate and returning content ready for LLMs. ReaderLM-v2 handles HTML-to-Markdown and HTML-to-JSON across 29 languages and documents up to 512K tokens.
A free no-key tier supports prototyping, while API keys unlock higher rate limits and token allowances, with very low per-token pricing designed to scale into production pipelines.
Jina Reader targets developers and AI teams building LLM apps, RAG systems, and agents that need to ingest web content cleanly and cheaply.
Developers fetching and cleaning web content for LLMs.
Engineering leads adopting retrieval infrastructure.
AI/RAG engineering communities.
Developers and AI teams who need cheap, simple, LLM-ready content extraction from known URLs.
Jina AI is venture-backed; specific totals verify with the vendor.
You prepend https://r.jina.ai/ to any URL and it returns the page as clean, LLM-ready Markdown.
Yes, for basic rate-limited use with no API key; supplying a key raises limits and charges tokens by content length.
Yes. Its ReaderLM model supports HTML-to-JSON extraction in addition to HTML-to-Markdown.
No. It converts individual URLs; for full-site crawling you pair it with a crawler.
Per-token pricing is very low, around $0.02 per million tokens once you use an API key at scale.
Side-by-side pages for pricing, features, and best-fit use cases.
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