Firecrawl 是一套面向 AI 应用的网页数据采集工具与 API,能把任意 URL 抓取为干净的 Markdown、HTML、截图或结构化 JSON,并针对 JS 渲染页面、反爬限制、代理轮换和速率限制做了处理。除单页抓取外,还提供站内搜索、整站爬取、URL 发现、批量抓取和由提示词驱动的 Agent 采集。它同时提供云端托管服务和可自托管的开源版本(AGPL-3.0),并附带多语言 SDK、CLI、MCP 服务与各类智能体技能包,方便直接接入现有 AI 工作流,减少 Prompt 中的噪声 token。
npx skills add firecrawl/skills[](https://twitter.com/firecrawl)
[](https://www.linkedin.com/company/104100957)
[](https://discord.gg/firecrawl)
The API to search, scrape, and interact with the web at scale. Firecrawl is the context API for AI agents. 🔥 Open source and available as a hosted service.
Pst. Hey, you, join our stargazers :)
Core Endpoints
| Feature | Description |
|---|---|
| Search | Search the web and get full page content from results |
| Scrape | Convert any URL to markdown, HTML, screenshots, or structured JSON |
| Interact | Scrape a page, then interact with it using AI prompts or code |
More
| Feature | Description |
|---|---|
| Parse | Turn PDFs, DOCX, and other documents into clean Markdown or structured JSON |
| Agent | Automated data gathering, just describe what you need |
| Crawl | Scrape all URLs of a website with a single request |
| Map | Discover all URLs on a website instantly |
| Batch Scrape | Scrape thousands of URLs asynchronously |
| Monitor | Get notified when content on a website changes |
Sign up at firecrawl.dev to get your API key. Try the playground to test it out.
Search the web and get full content from results.
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
search_result = app.search("firecrawl", limit=5)
Node.js / cURL / CLI
Node.js
import { Firecrawl } from 'firecrawl';
const app = new Firecrawl({apiKey: "fc-YOUR_API_KEY"});
app.search("firecrawl", { limit: 5 })
cURL
curl -X POST 'https://api.firecrawl.dev/v2/search' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"query": "firecrawl",
"limit": 5
}'
CLI
firecrawl search "firecrawl" --limit 5
Output:
[
{
"url": "https://firecrawl.dev",
"title": "Firecrawl",
"markdown": "Turn websites into..."
},
{
"url": "https://docs.firecrawl.dev",
"title": "Firecrawl Docs",
"markdown": "# Getting Started..."
}
]
Get LLM-ready context from any website — markdown, JSON, screenshots, and more.
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
result = app.scrape('firecrawl.dev')
Node.js / cURL / CLI
Node.js
import { Firecrawl } from 'firecrawl';
const app = new Firecrawl({ apiKey: "fc-YOUR_API_KEY" });
app.scrape('firecrawl.dev')
cURL
curl -X POST 'https://api.firecrawl.dev/v2/scrape' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"url": "firecrawl.dev"
}'
CLI
firecrawl scrape https://firecrawl.dev
firecrawl https://firecrawl.dev --only-main-content
Output:
# Firecrawl
Firecrawl helps AI agents search, scrape, and interact with the web.
## Features
- Search: Find information across the web
- Scrape: Clean data from any page
- Interact: Click, navigate, and operate pages
- Agent: Autonomous data gathering
Scrape a page, then interact with it using AI prompts or code.
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
result = app.scrape("https://amazon.com")
scrape_id = result.metadata.scrape_id
app.interact(scrape_id, prompt="Search for 'mechanical keyboard'")
app.interact(scrape_id, prompt="Click the first result")
Node.js / cURL / CLI
Node.js
import { Firecrawl } from 'firecrawl';
const app = new Firecrawl({apiKey: "fc-YOUR_API_KEY"});
const result = await app.scrape("https://amazon.com");
await app.interact(result.metadata.scrapeId, {
prompt: "Search for 'mechanical keyboard'"
});
await app.interact(result.metadata.scrapeId, {
prompt: "Click the first result"
});
cURL
# 1. Scrape the page
curl -X POST 'https://api.firecrawl.dev/v2/scrape' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"url": "https://amazon.com"}'
# 2. Interact with the page (use scrapeId from step 1)
curl -X POST 'https://api.firecrawl.dev/v2/scrape/SCRAPE_ID/interact' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"prompt": "Search for mechanical keyboard"}'
CLI
firecrawl scrape https://amazon.com
firecrawl interact exec --prompt "Search for 'mechanical keyboard'"
firecrawl interact exec --prompt "Click the first result"
Output:
{
"success": true,
"output": "Keyboard available at $100",
"liveViewUrl": "https://liveview.firecrawl.dev/..."
}
Connect Firecrawl to any AI agent or MCP client in minutes.
Give your agent easy access to real-time web data with one command.
npx -y firecrawl-cli@latest init --all --browser
Restart your agent after installing. Works with Claude Code, Antigravity, OpenCode, and more.
Connect any MCP-compatible client to the web in seconds.
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "fc-YOUR_API_KEY"
}
}
}
}
Are you an AI agent? Fetch this skill to sign up your user, get an API key, and start building with Firecrawl.
curl -s https://firecrawl.dev/agent-onboarding/SKILL.md
See the Skill + CLI documentation for all available commands. For MCP, see firecrawl-mcp-server.
The easiest way to get data from the web. Describe what you need, and our AI agent searches, navigates, and retrieves it. No URLs required.
Agent is the evolution of our /extract endpoint: faster, more reliable, and doesn't require you to know the URLs upfront.
curl -X POST 'https://api.firecrawl.dev/v2/agent' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"prompt": "Find the pricing plans for Notion"
}'
Response:
{
"success": true,
"data": {
"result": "Notion offers the following pricing plans:\n\n1. Free - $0/month...\n2. Plus - $10/seat/month...\n3. Business - $18/seat/month...",
"sources": ["https://www.notion.so/pricing"]
}
}
Use a schema to get structured data:
from firecrawl import Firecrawl
from pydantic import BaseModel, Field
from typing import List, Optional
app = Firecrawl(api_key="fc-YOUR_API_KEY")
class Founder(BaseModel):
name: str = Field(description="Full name of the founder")
role: Optional[str] = Field(None, description="Role or position")
class FoundersSchema(BaseModel):
founders: List[Founder] = Field(description="List of founders")
result = app.agent(
prompt="Find the founders of Firecrawl",
schema=FoundersSchema
)
print(result.data)
{
"founders": [
{"name": "Eric Ciarla", "role": "Co-founder"},
{"name": "Nicolas Camara", "role": "Co-founder"},
{"name": "Caleb Peffer", "role": "Co-founder"}
]
}
Focus the agent on specific pages:
result = app.agent(
urls=["https://docs.firecrawl.dev", "https://firecrawl.dev/pricing"],
prompt="Compare the features and pricing information"
)
Set how much reasoning the agent spends on the task:
| Effort | Best For |
|---|---|
low | Simple lookups on one site |
medium | Multi-step tasks on a few pages |
high | Deep research, complex navigation, critical data |
result = app.agent(
prompt="Compare enterprise features across Firecrawl, Apify, and ScrapingBee",
effort="high"
)
Every effort level runs the spark-2 model. Effort changes the reasoning
budget, not the model.
Every agent run executes on spark-2, the default, so you don't need to set
model. The retired spark-1-pro and spark-1-mini names are still accepted
for backwards compatibility, but they are deprecated and run spark-2.
Learn more about Spark models in our Agent documentation.
Crawl an entire website and get content from all pages.
curl -X POST 'https://api.firecrawl.dev/v2/crawl' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"url": "https://docs.firecrawl.dev",
"limit": 100,
"scrapeOptions": {
"formats": ["markdown"]
}
}'
Returns a job ID:
{
"success": true,
"id": "123-456-789",
"url": "https://api.firecrawl.dev/v2/crawl/123-456-789"
}
curl -X GET 'https://api.firecrawl.dev/v2/crawl/123-456-789' \
-H 'Authorization: Bearer fc-YOUR_API_KEY'
{
"status": "completed",
"total": 50,
"completed": 50,
"creditsUsed": 50,
"data": [
{
"markdown": "# Page Title\n\nContent...",
"metadata": {"title": "Page Title", "sourceURL": "https://..."}
}
]
}
Note: The SDKs handle polling automatically for a better developer experience.
Discover all URLs on a website instantly.
curl -X POST 'https://api.firecrawl.dev/v2/map' \
-H 'Authorization: Bearer fc-YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"url": "https://firecrawl.dev"}'
Response:
{
"success": true,
"links": [
{"url": "https://firecrawl.dev", "title": "Firecrawl", "description": "The context API for AI agents"},
{"url": "https://firecrawl.dev/pricing", "title": "Pricing", "description": "Firecrawl pricing plans"},
{"url": "https://firecrawl.dev/blog", "title": "Blog", "description": "Firecrawl blog"}
]
}
Find specific URLs within a site:
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
result = app.map("https://firecrawl.dev", search="pricing")
# Returns URLs ordered by relevance to "pricing"
Scrape multiple URLs at once:
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
job = app.batch_scrape([
"https://firecrawl.dev",
"https://docs.firecrawl.dev",
"https://firecrawl.dev/pricing"
], formats=["markdown"])
for doc in job.data:
print(doc.metadata.source_url)
Our SDKs provide a convenient way to use all Firecrawl features and automatically handle polling for async operations.
Install the SDK:
pip install firecrawl
from firecrawl import Firecrawl
app = Firecrawl(api_key="fc-YOUR_API_KEY")
# Scrape a single URL
doc = app.scrape("https://firecrawl.dev", formats=["markdown"])
print(doc.markdown)
# Use the Agent for autonomous data gathering
result = app.agent(prompt="Find the founders of Stripe")
print(result.data)
# Crawl a website (automatically waits for completion)
docs = app.crawl("https://docs.firecrawl.dev", limit=50)
for doc in docs.data:
print(doc.metadata.source_url, doc.markdown[:100])
# Search the web
results = app.search("best AI data tools 2024", limit=10)
print(results)
Install the SDK:
npm install firecrawl
import { Firecrawl } from 'firecrawl';
const app = new Firecrawl({ apiKey: 'fc-YOUR_API_KEY' });
// Scrape a single URL
const doc = await app.scrape('https://firecrawl.dev', { formats: ['markdown'] });
console.log(doc.markdown);
// Use the Agent for autonomous data gathering
const result = await app.agent({ prompt: 'Find the founders of Stripe' });
console.log(result.data);
// Crawl a website (automatically waits for completion)
const docs = await app.crawl('https://docs.firecrawl.dev', { limit: 50 });
docs.data.forEach(doc => {
console.log(doc.metadata.sourceURL, doc.markdown.substring(0, 100));
});
// Search the web
const results = await app.search('best AI data tools 2024', { limit: 10 });
results.data.web.forEach(result => {
console.log(`${result.title}: ${result.url}`);
});
Install the SDK:
go get github.com/firecrawl/firecrawl/apps/go-sdk
package main
import (
"context"
"fmt"
"log"
firecrawl "github.com/firecrawl/firecrawl/apps/go-sdk"
"github.com/firecrawl/firecrawl/apps/go-sdk/option"
)
func main() {
// Create a client (reads FIRECRAWL_API_KEY from environment)
client, err := firecrawl.NewClient(option.WithAPIKey("fc-YOUR_API_KEY"))
if err != nil {
log.Fatal(err)
}
ctx := context.Background()
// Scrape a single URL
doc, err := client.Scrape(ctx, "https://firecrawl.dev", &firecrawl.ScrapeOptions{
Formats: []string{"markdown"},
})
if err != nil {
log.Fatal(err)
}
fmt.Println(doc.Markdown)
// Use the Agent for autonomous data gathering
agent, err := client.Agent(ctx, &firecrawl.AgentOptions{
Prompt: "Find the founders of Stripe",
})
if err != nil {
log.Fatal(err)
}
fmt.Println(agent.Data)
// Crawl a website (automatically waits for completion)
job, err := client.Crawl(ctx, "https://docs.firecrawl.dev", &firecrawl.CrawlOptions{
Limit: firecrawl.Int(50),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("Crawled %d pages\n", len(job.Data))
// Search the web
results, err := client.Search(ctx, "best AI data tools 2024", &firecrawl.SearchOptions{
Limit: firecrawl.Int(10),
})
if err != nil {
log.Fatal(err)
}
fmt.Println(results)
}
Add the dependency (Gradle/Maven):
repositories {
mavenCentral()
maven { url 'https://jitpack.io' }
}
dependencies {
implementation 'com.github.firecrawl:firecrawl-java-sdk:2.0'
}
import dev.firecrawl.client.FirecrawlClient;
import dev.firecrawl.model.*;
FirecrawlClient client = new FirecrawlClient(
System.getenv("FIRECRAWL_API_KEY"), null, null
);
// Scrape a single URL
ScrapeParams scrapeParams = new ScrapeParams();
scrapeParams.setFormats(new String[]{"markdown"});
FirecrawlDocument doc = client.scrapeURL("https://firecrawl.dev", scrapeParams);
System.out.println(doc.getMarkdown());
// Use the Agent for autonomous data gathering
AgentParams agentParams = new AgentParams("Find the founders of Stripe");
AgentResponse start = client.createAgent(agentParams);
AgentStatusResponse result = client.getAgentStatus(start.getId());
System.out.println(result.getData());
// Crawl a website (polls until completion)
CrawlParams crawlParams = new CrawlParams();
crawlParams.setLimit(50);
CrawlStatusResponse job = client.crawlURL("https://docs.firecrawl.dev", crawlParams, null, 10);
for (FirecrawlDocument page : job.getData()) {
System.out.println(page.getMetadata().get("sourceURL"));
}
// Search the web
SearchParams searchParams = new SearchParams("best AI data tools 2024");
searchParams.setLimit(10);
SearchResponse results = client.search(searchParams);
for (SearchResult r : results.getResults()) {
System.out.println(r.getTitle() + ": " + r.getUrl());
}
Add the dependency:
def deps do
[
{:firecrawl, "~> 1.0"}
]
end
# Scrape a URL
{:ok, response} = Firecrawl.scrape_and_extract_from_url(
url: "https://firecrawl.dev",
formats: ["markdown"]
)
# Crawl a website
{:ok, response} = Firecrawl.crawl_urls(
url: "https://docs.firecrawl.dev",
limit: 50
)
# Search the web
{:ok, response} = Firecrawl.search_and_scrape(
query: "best AI data tools 2024",
limit: 10
)
# Map URLs
{:ok, response} = Firecrawl.map_urls(url: "https://example.com")
Add the dependency:
[dependencies]
firecrawl = "2"
tokio = { version = "1", features = ["macros", "rt-multi-thread"] }
use firecrawl::{Client, ScrapeOptions, Format, CrawlOptions};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = Client::new("fc-YOUR_API_KEY")?;
// Scrape a URL
let document = client.scrape("https://firecrawl.dev", None).await?;
println!("{:?}", document.markdown);
// Crawl a website
let options = CrawlOptions {
limit: Some(50),
..Default::default()
};
let result = client.crawl("https://docs.firecrawl.dev", options).await?;
println!("Crawled {} pages", result.data.len());
// Search the web
let response = client.search("best web scraping tools 2024", None).await?;
println!("{:?}", response.data);
Ok(())
}
Install the SDK:
gem install firecrawl-sdk
require "firecrawl"
client = Firecrawl::Client.new(api_key: "fc-YOUR_API_KEY")
# Scrape a single URL
doc = client.scrape("https://firecrawl.dev",
Firecrawl::Models::ScrapeOptions.new(formats: ["markdown"]))
puts doc.markdown
# Use the Agent for autonomous data gathering
result = client.agent(
Firecrawl::Models::AgentOptions.new(prompt: "Find the founders of Stripe"))
puts result.data
# Crawl a website (automatically waits for completion)
job = client.crawl("https://docs.firecrawl.dev",
Firecrawl::Models::CrawlOptions.new(limit: 50))
job.data.each { |d| puts d.metadata.source_url }
# Search the web
results = client.search("best AI data tools 2024",
Firecrawl::Models::SearchOptions.new(limit: 10))
puts results
Install the SDK:
dotnet add package firecrawl-sdk
using Firecrawl;
using Firecrawl.Models;
var client = new FirecrawlClient("fc-YOUR_API_KEY");
// Scrape a single URL
var doc = await client.ScrapeAsync("https://firecrawl.dev",
new ScrapeOptions { Formats = new List<object> { "markdown" } });
Console.WriteLine(doc.Markdown);
// Crawl a website (automatically waits for completion)
var job = await client.CrawlAsync("https://docs.firecrawl.dev",
new CrawlOptions { Limit = 50 });
Console.WriteLine($"Crawled {job.Data.Count} pages");
// Search the web
var results = await client.SearchAsync("best AI data tools 2024",
new SearchOptions { Limit = 10 });
Console.WriteLine(results);
Install the SDK:
composer require firecrawl/firecrawl-sdk
<?php
use Firecrawl\Client\FirecrawlClient;
use Firecrawl\Models\ScrapeOptions;
use Firecrawl\Models\CrawlOptions;
use Firecrawl\Models\SearchOptions;
$client = FirecrawlClient::create(apiKey: 'fc-YOUR_API_KEY');
// Scrape a single URL
$doc = $client->scrape('https://firecrawl.dev', ScrapeOptions::with(
formats: ['markdown'],
));
echo $doc->getMarkdown();
// Crawl a website (automatically waits for completion)
$job = $client->crawl('https://docs.firecrawl.dev', CrawlOptions::with(limit: 50));
foreach ($job->getData() as $page) {
echo $page->getMetadata()['sourceURL'] . "\n";
}
// Search the web
$results = $client->search('best AI data tools 2024', SearchOptions::with(limit: 10));
print_r($results);
Agents & AI Tools
npx skills add firecrawl/skillsThe build skills (integrating Firecrawl into product code) are authored in this repo under skills/ and mirrored into the catalog by CI. Contributing skills? CLI skills (including the research/developer index skills) → PR firecrawl/cli. Build/SDK skills → PR this repo (skills/). Workflow skills → PR firecrawl/firecrawl-workflows. The catalog (firecrawl/skills) is read-only — never PR it directly.
Platforms
Missing your favorite tool? Open an issue and let us know!
Firecrawl is open source under the AGPL-3.0 license. The cloud version at firecrawl.dev includes additional features:

To run locally, see the Contributing Guide. To self-host, see Self-Hosting Guide.
We love contributions! Please read our Contributing Guide before submitting a pull request.
This project is primarily licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). The SDKs and some UI components are licensed under the MIT License. See the LICENSE files in specific directories for details.
It is the sole responsibility of end users to respect websites' policies when scraping. Users are advised to adhere to applicable privacy policies and terms of use. By default, Firecrawl respects robots.txt directives. By using Firecrawl, you agree to comply with these conditions.
内容由编辑整理,部分信息来自 GitHub 与项目官网,版权归原作者所有。发现错误?报告问题