Quick answer: Pick Firecrawl if you need to crawl entire sites with mature orchestration and you value a popular open-source core with a huge integration ecosystem. Pick link.sc if you want search and fetch in one API with full-page content, high-quality markdown, an MCP server, and credit pricing that starts at $19/month. Both are hosted APIs that turn web pages into LLM-ready data; the difference is scope and emphasis.
Yes, link.sc is our product. I'm going to try to write the comparison I'd want to read if I were evaluating both, which means saying nice things about Firecrawl where they're deserved. They are.
Where Firecrawl Genuinely Shines
Firecrawl earned its popularity. Three things stand out.
The open-source core. Firecrawl's engine is open source and widely starred, which means you can read the code, run it yourself if you have to, and trust that the project won't vanish behind a login page. That matters for long-term bets.
Crawl orchestration. If your job is "ingest this entire documentation site" or "map every URL under this domain," Firecrawl's crawl and map endpoints handle discovery, queuing, and depth limits for you. This is their home turf and it's genuinely good.
Community and integrations. Firecrawl shows up as a first-class loader in the major agent and RAG frameworks. If your stack is LangChain or LlamaIndex, the glue code is already written and battle-tested by thousands of users.
If those three things describe your project, honestly, Firecrawl is a strong default.
Where link.sc Shines
Search and fetch in one API. Most agent workflows are "search the web, then read the results." With link.sc, the search endpoint returns full-page content for each result, not just snippets, so you don't chain a search vendor into a scrape vendor. One key, one bill, one failure mode.
Markdown quality. We obsess over output cleanliness: stripping navigation, cookie banners, and boilerplate while keeping tables and code blocks intact. Cleaner markdown means fewer wasted tokens, which compounds fast at scale. I covered the math in token optimization for web data.
MCP server. link.sc ships a hosted MCP server at mcp.link.sc, so Claude and other MCP-capable clients get fetch and search as native tools with zero glue code. If you're not familiar with MCP, here's why it matters.
Simple entry pricing. Free tier with 500 credits a month, paid plans from $19/month, credit-based like Firecrawl. Full details on the pricing page.
Feature Comparison
| Feature | Firecrawl | link.sc |
|---|---|---|
| Fetch URL to markdown | Yes | Yes |
| Full-site crawling | Yes, mature orchestration | Limited, fetch-focused |
| Web search | Yes | Yes, with full-page content per result |
| Research agent endpoint | Deep research features | Yes |
| Open-source core | Yes | No, hosted API |
| MCP server | Community options exist | Hosted at mcp.link.sc |
| Framework integrations | Extensive | Growing |
| Pricing model | Credit-based, free tier | Credit-based, free tier, from $19/mo |
The Same Fetch, Side by Side
Both APIs are pleasant to use. Here's a scrape in Firecrawl's style:
curl -X POST https://api.firecrawl.dev/v1/scrape \
-H "Authorization: Bearer fc-..." \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/article", "formats": ["markdown"]}'
And the equivalent in link.sc:
curl https://link.sc/v1/fetch \
-H "Authorization: Bearer lsc_..." \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/article", "format": "markdown"}'
Functionally similar for a single fetch. The differences show up at the edges: what the markdown looks like on messy pages, how each handles blocks and JavaScript-heavy sites, and what happens when you add search to the workflow.
When to Pick Firecrawl
I'll say it plainly: choose Firecrawl when your core job is crawling whole sites. Documentation ingestion, site mapping, bulk knowledge-base builds. Their orchestration is more mature than ours for that shape of work.
Also choose Firecrawl if open source is a hard requirement, or if you're deep in a framework ecosystem where their loader is already wired in and switching costs outweigh any benefit.
When to Pick link.sc
Choose link.sc when your workload is agent-shaped: search the web, fetch specific pages, feed clean markdown to a model, repeat. That loop is what we built for, and doing it with one API instead of two removes real complexity. The pattern is covered in giving your AI agent internet access.
Choose link.sc if you're building on MCP and want fetch and search as hosted tools without running anything. And choose it if you care about markdown quality enough to test it, which brings me to the only advice in this post that's vendor-neutral.
Don't Trust Either of Us: Test It
Take 50 URLs from your actual workload, run them through both free tiers, and compare success rate and output quality on your data. Both products let you do this in an afternoon. The link.sc quickstart takes about two minutes to get to a first fetch, and I assume Firecrawl's onboarding is similarly quick.
Whichever tool wins on your URLs is the right answer, whatever any comparison post says.
Ready to run the head-to-head on your own URLs? Create a free link.sc account and get 500 credits to test with.