What is Firecrawl? A Developer-Friendly Web Crawler for the AI Era
Table of Contents
- Why Web Crawling Matters in 2025
- What is Firecrawl?
- Key Features
- Powerful Capabilities
- Getting Started (Setup)
- Pricing
- MarkItDown vs Firecrawl Comparison
- FireCrawl Comparison with Popular Tools
- Conclusion
basicutils.com
Why Web Crawling Matters in 2025
Recently, there has been an explosion of LLM-powered apps. Such apps are driven by web data, sourced through crawling websites. Whether you are building Retrieval-Augmented Generation (RAG) pipelines, knowledge bases, product aggregators, or competitor trackers, accessing structured content from public websites is essential.
In the past, web crawling has been handled via traditional tools, e.g., BeautifulSoup or Scrapy. However, the complexity of modern websites—especially those relying on dynamic JavaScript—poses great challenges to these tools. Even headless browsers like Puppeteer often require extensive customization to function effectively.
This is where Firecrawl comes in. Firecrawl is an API service that takes a web URL, crawls it, and converts it into Markdown. Since LLMs can effectively process Markdown, this gives them a great advantage.
What is Firecrawl?
Firecrawl is a developer-first, API-based web crawler designed for the modern web. It allows you to extract structured content from websites without dealing with HTML, browser automation, or other complex scraping logic.
It intelligently extracts meaningful sections of a page and organizes them in Markdown format. Firecrawl works through artificial intelligence. This makes it a perfect tool for anyone building any of the following:
- Retrieval-Augmented Generation (RAG) systems
- Search and indexing engines
- LLM-powered assistants
- Automated content aggregators
- Web monitoring or competitor intelligence tools
It works by taking a URL of a website and returning a Markdown file containing the contents of the site.
Key Features
- Scrape: Scrapes a single URL and returns content in an LLM-ready format, including Markdown, JSON, screenshot, and raw HTML
- Crawl: Crawls all URLs of a given site and returns its content in Markdown or other LLM-friendly formats
- Map: Input a website and instantly get a list of all internal URLs on the site
- Extract: Extract structured data from a single page, multiple pages, or even entire websites
Powerful Capabilities
- LLM-ready output formats: Markdown, structured JSON, screenshot, HTML, links, and metadata
- Handles the hard stuff: Automatically manages proxies, anti-bot challenges, JS-rendered content, and output parsing
- Highly customizable:
- Exclude specific HTML tags
- Crawl behind auth walls using custom headers
- Control depth with maxDepth settings
- Media parsing support: Can parse PDFs, DOCX files, and images
- Action automation: Simulates actions like click, scroll, and wait before extracting data
- Batch scraping: Scrape thousands of URLs asynchronously
Getting Started (Setup)
There are several ways to use Firecrawl: online, cURL, and the SDK.
Before using the API you have to obtain an API Key from here.
Online Crawling and Scraping
If your task involves just a few web pages, you can access their website and perform an online crawl or scrape without additional setup.
Using cURL
Crawling with cURL
Use the following command to crawl a website:
curl -X POST https://api.firecrawl.dev/v1/crawl \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"url": "https://docs.firecrawl.dev",
"limit": 100,
"scrapeOptions": {
"formats": ["markdown", "html"]
}
}'
Scraping with cURL
To scrape a webpage, use:
curl -X POST https://api.firecrawl.dev/v1/scrape \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"url": "https://docs.firecrawl.dev",
"formats" : ["markdown", "html"]
}'
Using the Firecrawl SDK
You can also use the SDK which is available in multiple languages. For this tutorial, we will consider the Python SDK.
Installation
pip install firecrawl-py
Crawling with Python SDK
from firecrawl import FirecrawlApp
app = FirecrawlApp(api_key="fc-YOUR_API_KEY")
# Crawl a website:
crawl_status = app.crawl_url(
'https://firecrawl.dev',
params={
'limit': 100,
'scrapeOptions': {'formats': ['markdown', 'html']}
},
poll_interval=30
)
print(crawl_status)
Scraping with Python SDK
from firecrawl import FirecrawlApp
app = FirecrawlApp(api_key="fc-YOUR_API_KEY")
# Scrape a website:
scrape_result = app.scrape_url('firecrawl.dev', params={'formats': ['markdown', 'html']})
print(scrape_result)
Pricing
Firecrawl offers flexible pricing plans to accommodate various needs, allowing you ti start for free and scale as your business grows.
Free Plan
- Credits: 500 (one-time)
- Cost: $0
- Features:
- Scrape up to 500 pages
- 2 concurrent browsers
- Low rate limits
Hobby Plan
- Credits: 3,000 per month
- Cost: $16/month or $190/year (billed annually)
- Features:
- Scrape up to 3,000 pages
- 5 concurrent browsers
- 1 seat
Standard Plan (Most Popular)
- Credits: 100,000 per month
- Cost: $83/month or $990/year (billed annually)
- Features:
- Scrape up to 100,000 pages
- 50 concurrent browsers
- 3 seats
- Standard support
Growth Plan
- Credits: 500,000 per month
- Cost: $333/month or $3,990/year (billed annually)
- Features:
- Scrape up to 500,000 pages
- 100 concurrent browsers
- 5 seats
- Priority support
Enterprise Plan
- Credits: Unlimited
- Cost: Custom pricing
- Features:
- Bulk discounts
- Top priority support
- Custom concurrency limits
- Improved stealth proxies
- Service Level Agreements (SLAs)
- Advanced security and controls
NB: Prices are subject to change.
MarkItDown vs Firecrawl Comparison
There are several tools available that convert files to Markdown. In this section, we will compare some of these tools, starting with MarkItDown, a very powerful tool from Microsoft.
Purpose
- Firecrawl: Designed for extracting and transforming web content into LLM-friendly formats such as JSON and Markdown.
- MarkItDown: Designed to convert files (e.g., PDFs, images, videos) into Markdown for LLM consumption.
AI Capabilities
- Firecrawl: Uses AI to parse and structure web content during crawling, breaking it into meaningful semantic chunks.
- MarkItDown: Uses AI to transcribe and convert files into structured text and Markdown.
Ideal Use Cases
- Firecrawl:
- Large-scale web crawling
- Extracting content from JavaScript-heavy websites
- Building AI pipelines like Retrieval-Augmented Generation (RAG)
- Batch scraping and handling anti-bot protection
- MarkItDown:
- Converting documents and files (PDFs, images, etc.) to Markdown
- Processing media files for AI enhancement
- Ideal for static document workflows
Main Difference
- Firecrawl: A web-focused crawling tool, ideal for scraping websites at scale.
- MarkItDown: A document and file conversion tool, designed for transforming media into text and Markdown.
FireCrawl Comparison with Popular Tools
The table below includes a comparison with other tools.
Feature / Tool | Firecrawl | Markitdown | Crawl4AI | ScrapeGraphAI | Scrapy | BeautifulSoup |
---|---|---|---|---|---|---|
Output Format | Markdown, JSON, HTML, screenshot | Markdown | Markdown, JSON | Knowledge Graph, JSON | Raw HTML | Raw HTML |
Handles JS | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ |
API Available | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ |
AI-Enhanced | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
Crawl Support | ✅ | ❌ | ✅ | ❌ | ✅ | ❌ |
Content Extraction | Semantic, Markdown chunks | Markdown | Semantic & AI-aware | Graph-based entities | Manual config | Manual parsing |
Setup Required | None (API) | None | None (API) | Some setup | Python setup | Python setup |
Open Source | ✅ (AGPL) | ✅ | ✅ | ✅ | ✅ | ✅ |
Ideal For | LLM/RAG, Crawling large sites | Markdown conversion | AI web scraping | Knowledge graphs from web | Full web scraping | HTML parsing |
Language | Python, Node, Go, Rurst SDKs, support for cURL | Python, CLI & scripts | Python SDK | Python | Python | Python |
Conclusion
Firecrawl offers a modern way to perform web crawling. It provides a robust API that produces LLM-ready output formats, and the ability to handle dynamic websites. It is a go-to choice for anyone building:
- Retrieval-Augmented Generation (RAG) pipelines
- LLM agents and assistants
- Content aggregators
- Competitive intelligence tools
- Search and indexing systems
Whether you’re a solo builder, startup, or part of a large team, Firecrawl’s minimal setup and scalable pricing allow you to focus on building — not managing complex scraping infrastructure.
It’s the web crawler reimagined for the AI-driven future.
Frequently Asked Questions
What is the use of Firecrawl?
Firecrawl is a developer-centric web crawling tool that converts websites into structured formats like Markdown and JSON. It's particularly useful for: - Building Retrieval-Augmented Generation (RAG) systems - Creating LLM-powered assistants - Aggregating content for market research - Monitoring competitors and tracking changes - Automating data collection from dynamic websites
Is Firecrawl open source?
Yes, Firecrawl is open source under the AGPL-3.0 license. The SDKs, including the Python SDK, are licensed under the MIT License. You can access the source code on GitHub: https://github.com/code/app-firecrawl-agpl
Is Firecrawl API free?
Firecrawl offers a free plan that includes 500 credits, allowing you to scrape up to 500 pages. This is ideal for individual developers or small projects. For larger needs, there are paid plans available: https://www.firecrawl.dev/pricing
What formats does Firecrawl support for data extraction?
Firecrawl can extract data in various formats, including: - Markdown - JSON - HTML - Screenshots - Metadata This flexibility allows seamless integration with different applications and workflows.
Can Firecrawl handle JavaScript-rendered content?
Yes, Firecrawl is designed to handle dynamic content rendered by JavaScript, making it effective for modern websites that rely heavily on client-side rendering.
Does Firecrawl respect robots.txt?
By default, Firecrawl respects the directives specified in a website's robots.txt file during crawling, ensuring ethical scraping practices.
Can I use the same API key for different operations?
Yes, a single API key can be used for scraping, crawling, and data extraction operations within Firecrawl.
Does Firecrawl offer a pay-per-use plan?
Currently, Firecrawl does not offer a pay-per-use plan. Users can choose from various monthly or yearly subscription plans based on their needs: https://www.firecrawl.dev/pricing
What programming languages are supported by Firecrawl SDKs?
Firecrawl provides SDKs for multiple programming languages, including: - Python - JavaScript/TypeScript This allows developers to integrate Firecrawl into their existing codebases seamlessly.
References
Background References
About the Author
Joseph Horace
Horace is a dedicated software developer with a deep passion for technology and problem-solving. With years of experience in developing robust and scalable applications, Horace specializes in building user-friendly solutions using cutting-edge technologies. His expertise spans across multiple areas of software development, with a focus on delivering high-quality code and seamless user experiences. Horace believes in continuous learning and enjoys sharing insights with the community through contributions and collaborations. When not coding, he enjoys exploring new technologies and staying updated on industry trends.