Your pipeline scrapes 10,000 pages through Firecrawl. A third come back as failures—access blocks and challenges, empty responses from SPAs that loaded content after Firecrawl's snapshot. You retry. More credits gone. The per-page cost you budgeted just tripled.

Firecrawl is genuinely good at what it was designed for: turning public, static web pages into clean markdown for LLM consumption. The /scrape , /crawl , and /extract endpoints are well-designed. If your targets are documentation sites, blogs, and open product pages, it delivers.

But three categories of problems send developers looking elsewhere: anti-bot failures on protected sites , AGPL-3.0 licensing friction for commercial use, and credit stacking that makes costs hard to predict at scale.

Here are six alternatives, each built around a different core strength.

Quick decision framework:

Need open-source with Apache 2.0 license → Crawl4AI

Need lowest cost per page at high volume → Spider

Need simplest possible API for LLM pipelines → Jina AI…