Save API vs Firecrawl vs Jina Reader: choosing a URL-to-Markdown API
If you need to turn URLs into clean Markdown for LLMs, you have a few good options. Here’s an honest comparison of the Save API, Firecrawl, and Jina Reader, and how to decide.
Quick comparison
| Save API | Firecrawl | Jina Reader | |
|---|---|---|---|
| Core output | Clean Markdown | Markdown + crawl | Markdown |
| JavaScript rendering | Auto-escalates only when needed | Yes | Yes |
| Cheap no-LLM tier | Yes ($2 / 1k pages) | Credit-based | Yes (very cheap) |
| Optional AI formatting | Token-metered templates | LLM extract add-on | LLM add-ons |
| Crawling / site maps | Single page (v1) | Full crawler | Single page |
| Pricing model | Pay as you go, per tier | Credits / plans | Token-based |
Where each one fits
Firecrawl is the most full-featured if you need to crawl — discover and pull a whole site, follow links, build a map. If your job is “ingest this entire documentation site,” that’s its sweet spot. The trade-off is a credit system you have to model, and you pay for the crawler machinery even when you just want one page.
Jina Reader is the minimalist’s choice. Prefix a URL and you get Markdown back; pricing is token-based and very cheap. It’s a great default for quick, high-volume single-page reads. It’s less opinionated about the cheap-fetch-vs-render split, so heavy pages can cost more than you’d expect.
The Save API is built around one idea: most pages shouldn’t cost much. A tiered engine fetches cheaply first and only escalates to a headless render when a page is genuinely a JavaScript shell — and the response tells you which tier billed. The no-LLM Markdown tier is a flat $2 per 1,000 pages with ~99% margin on our side, which is why we can keep it that low. When you want more than extraction, AI templates are token-metered separately, so you never accidentally pay LLM prices for a plain fetch.
The cheap-tier question
This is the detail that decides your bill at scale. Some APIs route everything through an expensive path (render and/or LLM) regardless of whether the page needed it. The Save API’s default is a plain fetch plus a streaming HTML-to-Markdown parser — no browser, no model — so the common case is genuinely cheap. You opt into rendering and AI formatting only when you need them.
On honesty about walled gardens
All three tools hit the same wall on logged-in content. The Save API’s stance: YouTube via its official transcript channel, other platforms best-effort, and no ghost accounts or login-scraping. If a vendor promises effortless Instagram or X scraping at scale, ask how — the answer is usually a fragile, ToS-violating account farm.
How to choose
- Need to crawl whole sites? Firecrawl.
- Need dead-simple, ultra-cheap single-page reads? Jina Reader.
- Need predictable per-tier pricing with a genuinely cheap default and optional AI formatting? The Save API.
There’s no universal winner — there’s the right fit for your workload. If that’s clean Markdown at a transparent price, try the Save API.
## Continue reading
How the Save API renders JavaScript pages to Markdown
A look inside the tiered fetch engine: cheap server-side fetch first, headless render only when a page is a JS shell, then boilerplate stripped. How we keep quality high and cost near zero.
Introducing the Save API: turn any URL into clean Markdown
The engine behind Save is now a developer API. POST a URL, get back clean, LLM-ready Markdown. Built for AI agents, RAG pipelines and scrapers. Pay as you go from $2 per 1,000 pages.
The URL-to-Markdown API built for AI agents and RAG
LLMs read Markdown, not HTML. Here's how to feed your agents and RAG pipelines clean web content with one API call — and why a tiered fetch engine beats DIY scraping.
Best Obsidian Web Clippers in 2026: Save Web Pages Directly to Your Vault
Compare the best web clipping extensions for Obsidian in 2026. Save articles, YouTube videos, and documentation as clean Markdown directly to your vault.
Written by
Jean-Sébastien Wallez
I've been making internet products for 10+ years. Built Save on weekends because I wanted my own reading library in clean markdown for Claude and Obsidian. Write here about web clipping, AI workflows, and the small things that make a personal knowledge base actually useful.