nowfound

AI · December 23, 2025

/agent by Firecrawl

While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date markdown we could feed into our index. So, we released an open-source repo and an API that crawls and turns entire websites into a markdown with just a few lines of code The API handles: - Crawling without consistent sitemaps - Infra to handle running many crawling jobs - Proxying,…

/agent by Firecrawl launched on December 23, 2025 with 569 votes, #12 of 11,628 launches that month and more than 99% of that year's launches.

In plain words

Firecrawl /agent is an API that extracts structured data from websites by searching, navigating, and gathering information automatically. Users describe what data they need, and the tool retrieves it from complex or difficult-to-access web pages, returning either individual data points or large datasets. It's designed for developers who need to collect web data programmatically.

written from the facts on this page · September 2026

From the sources

Firecrawl /agent is a magic API that searches, navigates, and gathers data from even the most complex websites. Describe what data you want and agent handles the rest. Find information in hard-to-reach places, return single datapoints or entire datasets at scale.

Describe what data you want to extract and /agent handles the rest. Read the docs → from firecrawl import FirecrawlApp from pydantic import BaseModel from typing import List , Optional app = FirecrawlApp ( api_key =" fc-YOUR-API-KEY ") class Company ( BaseModel ): name: str founders: List [str] funding: Optional [str] = None website: str class ExtractSchema ( BaseModel ): companies: List [ Company ] result = app. agent ( prompt =" Get all YC W24 companies ", schema = ExtractSchema ) import { Firecrawl } from ' firecrawl '; import { z } from ' zod '; const firecrawl = new Firecrawl ({ apiKey : ' fc-YOUR-API-KEY ' }); const schema = z .object({ companies : z .array( z .object({ name : z…from firecrawl.dev

In the maker’s words, at launch

While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date…

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