/agent by Firecrawl
Automatically finds, navigates, and extracts specific web data using AI, no URLs needed.
Automatically finds, navigates, and extracts specific web data using AI, no URLs needed.
Firecrawl /agent is an AI tool that gives web data. It finds information on its own, going through websites to get what you ask for. You just tell it what you need in plain words, and it gets the data back to you, all neat and tidy. It's like having a smart assistant to do your online research.
No URLs Required.
You tell the agent what data you need. It then finds that information across the internet by itself.
Deep Web Search.
The tool intelligently searches deep into websites. It locates the specific information you are looking for.
Natural Language Processing.
You describe what data you want in plain English. No complex code is needed for this.
Multi-Source Data Gathering.
It processes many sources at once. This helps you get a complete set of data.
Autonomous Navigation.
The agent handles clicks and form submissions. It manages pagination and multi-step processes automatically.
Structured Output.
The data comes back to you in an organized JSON format. You can also validate it with an optional Pydantic schema.
Firecrawl /agent uses AI to find, navigate, and get data without specific URLs or rules. Traditional scrapers need manual setup and break when websites change. Firecrawl /agent adjusts automatically to website updates.
Complex searches that look at many websites typically use more credits than simple, single-page extractions. The exact cost depends on how complex the request is, how much data you need, and the final data format. You can check your usage in real-time on the dashboard.
No, Firecrawl /agent only accesses public web information. It can't go through paywalls, login screens, or protected content. This helps it follow website rules.
Firecrawl /agent is currently in a research preview. This means it might have some unexpected issues or performance changes. For super important applications, consider using the stable Standard plans instead. Its readiness for regular use will improve as it moves past the preview stage.
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