Firecrawl: review, pricing, security and alternatives

What Firecrawl does

Firecrawl belongs to the agent infrastructure family: technical building blocks for agents: memory, execution sandboxes, model gateways, observability, evaluation. On our grid it ranks #3 of the 28 projects of this family listed in the directory.

It is not an agent in itself: it is a component other agents use (memory, isolated execution, web access, model gateway or monitoring). You pick it based on the agent or framework it has to equip.

You use it from: API, developer SDK, and web app. It can run on your own machine or server.

Who is Firecrawl for?

It is for teams running agents in production that need a reliable component: isolated execution, memory, model gateway or observability. Typical tasks people give it:

• isolate code generated by an agent
• track model call costs and errors
• give an agent long-term memory

It is a good candidate if you prefer doing everything in a browser, with no install and your data must stay on your machines.

Access and human control

According to its documentation, Firecrawl can:

• drive a web browser
• call online services and APIs

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Firecrawl pricing

The code is free, under the AGPL-3.0 licence.

Getting started with Firecrawl

1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
2. Start with the minimal example from the docs, then add one tool at a time and check what the agent does with it.
3. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

An infrastructure component sees prompts, keys and data pass through: self-host it or read the service's retention policy.

Points found for Firecrawl:

• Outside content: it reads web pages or API responses, which may contain booby-trapped instructions (prompt injection).

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on April 15, 2024, the firecrawl/firecrawl repository has 194,912 stars, 10,284 forks and 102 open issues, with 6,703 commits in total. It received changes this month.

Over the last 52 weeks: 2,076 commits, an average of 39.9 per week.

35 releases in total; 7 in the last twelve months. Latest release: v2.11.0, on June 19, 2026.

Firecrawl vs other agent infrastructure

GitHub stars of the best-rated open-source projects in the agent infrastructure family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

Firecrawl and other agent infrastructure at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 86/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 39/40: 194,912 stars on a log scale (40 points from about 200,000).
• Activity 27/30: last commit less than a month ago, 2 releases in six months, 2,076 commits in a year.
• Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.