# Enabling FIRE-1 in the Firecrawl Scrape API

> API configuration pattern for Firecrawl's agent-driven web navigation model

This tip demonstrates how to call Firecrawl's scrape endpoint using their FIRE-1 agent model. By passing navigation instructions inside the agent payload, you can scrape dynamic websites that require clicking, searching, or paginating before extracting content.

## How it works

Include in the scrape API request: "agent": { "model": "FIRE-1", "prompt": "Your detailed navigation instructions here." } — the prompt field is required for scrape requests, telling FIRE-1 how to interact with the webpage. Pagination example (curl): POST https://api.firecrawl.dev/v1/scrape with Authorization Bearer YOUR\_API\_KEY, url https://www.ycombinator.com/companies, formats \["markdown"\], agent {model FIRE-1, prompt "Search for firecrawl and go to the company page."}. Be very specific in prompting about the results you want.

## What it is for

- Scrape web pages hidden behind interactive elements like search inputs or dropdowns
- Navigate multi-step pagination flows automatically during extraction
- Extract clean markdown from dynamic single-page applications without manual browser scripts

## Key points

- Uses the agent object with model set to 'FIRE-1' inside scrape requests
- Requires a natural language prompt describing exact interactive navigation steps
- Supports automated interaction such as clicking links, form inputs, and pagination
- Returns parsed page content in markdown format

## Pricing

Freemium. Requires Firecrawl API access (free tier available with credit limits)

## Details

- Type: Tip
- Category: [Development](https://xiry.app/topics/development.md)
- Topic: [Web Scraping](https://xiry.app/topics/development/web-scraping.md)
- Open source: no
- Platforms: API
- For: Developers building LLM pipelines and automated scraping workflows
- Alternative to: Puppeteer, Playwright, Browserbase
- Tags: firecrawl, scraping, agents, api, llm, automation

## Why it was saved

- [@omarsar0, 16 April 2025](https://x.com/omarsar0/status/1912596779784143002): Concrete usage pattern for the agent-powered scraping

## Compare

- [Alternatives to Puppeteer](https://xiry.app/alternatives/puppeteer.md)
- [Alternatives to Playwright](https://xiry.app/alternatives/playwright.md)
- [Alternatives to Browserbase](https://xiry.app/alternatives/browserbase.md)

## Related

- [Firecrawl](https://xiry.app/resources/firecrawl-1984): Turn websites and documents into clean, LLM-ready markdown or structured data. (Website, Freemium)
- [Parse](https://xiry.app/resources/parse): Turn any website into a structured REST API using natural language (Web app, Freemium)
- [Apify](https://xiry.app/resources/apify): Cloud platform and marketplace for web scraping, automation, and AI data extraction. (Web app, Freemium)
- [ScrapeGraphAI](https://xiry.app/resources/scrapegraphai): Open-source Python library and API for prompt-based web scraping using LLMs (GitHub repo, Freemium)
- [Chat4Data](https://xiry.app/resources/chat4data): AI Chrome extension for scraping web data using natural language chat prompts. (Browser extension, Freemium)
- [Cloud Scraping Browsers Comparison](https://xiry.app/resources/cloud-scraping-browsers-comparison): Feature and cost breakdown across cloud browser sandbox providers for scraping (Framework, Free)

Updated 11 October 2026. Page: https://xiry.app/resources/enabling-fire-1-in-the-firecrawl-scrape-api

Make your own library: Xiry takes your saved reels, tweets, Reddit bookmarks and Watch Later videos, makes them searchable and pulls the useful stuff out, like this library. It's invite-only for now; join the waitlist at https://xiry.app/#waitlist.