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Firecrawl
Firecrawl is a developer API that converts any website into clean, LLM-ready markdown. It handles JavaScript rendering, dynamic content, and complex site structures — returning structured data ideal for AI pipelines, RAG systems, and content extraction workflows.
Features
Core Capabilities
- Scrape: Fetch a single URL and return clean markdown or structured HTML
- Crawl: Recursively crawl an entire website and return all pages as markdown
- Map: Quickly generate a sitemap of all URLs on a domain
- Extract: Use AI to extract structured JSON from pages using a defined schema
Content Processing
- Full JavaScript rendering via headless browser
- Automatic removal of navigation, ads, headers, and footers
- Clean markdown output preserving headings, tables, lists, and code blocks
- Returns page metadata (title, description, og:image)
LLM Integration
- Output format designed for RAG pipelines and vector databases
- Works out-of-the-box with LangChain, LlamaIndex, and CrewAI
- Batch crawling for building knowledge bases from documentation sites
Quick Start
using System.Net.Http.Json;
using System.Text.Json.Nodes;
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer fc-your-api-key");
// Scrape a single page
var scrapeResponse = await client.PostAsJsonAsync(
"https://api.firecrawl.dev/v1/scrape",
new { url = "https://docs.example.com/intro", formats = new[] { "markdown" } }
);
var scrapeResult = await scrapeResponse.Content.ReadFromJsonAsync<JsonNode>();
Console.WriteLine(scrapeResult!["data"]!["markdown"]);
// Crawl an entire site
var crawlResponse = await client.PostAsJsonAsync(
"https://api.firecrawl.dev/v1/crawl",
new { url = "https://docs.example.com", limit = 50 }
);
var crawlResult = await crawlResponse.Content.ReadFromJsonAsync<JsonNode>();
foreach (var page in crawlResult!["data"]!.AsArray())
Console.WriteLine(page!["markdown"]);
Use Cases
- Building RAG knowledge bases from documentation sites
- Extracting product data for price monitoring
- Feeding website content into LLM-powered chatbots
- Competitive research and content analysis at scale
- Automated content ingestion for AI workflows
Pricing
- Free: 500 credits/month
- Hobby: $16/month — 3,000 credits
- Standard: $83/month — 100,000 credits
- Growth: $333/month — 500,000 credits
Ready to get started? Visit the official site to learn more.
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