A lightweight frontend for self-hosted Firecrawl API instances. This playground provides a user-friendly interface for using Firecrawl's web scraping and crawling capabilities.

• Scrape Mode: Convert a single URL to markdown, HTML, or take screenshots
• Crawl Mode: Discover and scrape multiple pages from a starting URL
• Extract Mode: Extract structured data from web pages using LLM
• CORS-free: Uses a proxy server to avoid CORS issues when connecting to your Firecrawl API instance

1. Configure environment variables:

   cp .example.env .env

   Edit the .env file to set your desired configuration.
2. Install dependencies and run:

   npm i
   npm start

3. Open your browser and navigate to http://localhost:3000
4. Enter your Firecrawl API endpoint (default: http://firecrawl:3002)
5. Enter your API key if required
6. Choose a mode (Scrape, Crawl, or Extract), enter a URL, and click "Run"

1. Configure environment variables:

   cp .example.env .env
   

   Then edit the .env file to set your desired configuration.

2. Build and run using Docker Compose:

   docker-compose up -d
   

3. Open your browser and navigate to http://localhost:3000

Scrape mode allows you to convert a single URL to various formats:

• Markdown: Clean, readable markdown format
• HTML: Raw HTML content
• Screenshot: Visual capture of the page
• Links: Extract all links from the page

Advanced options include:

• Only Main Content: Filter out navigation, footers, etc.
• Remove Base64 Images: Exclude embedded images
• Wait For: Time to wait for dynamic content to load
• Timeout: Maximum time to wait for the page to load

Crawl mode allows you to discover and scrape multiple pages from a starting URL:

• Max Depth: How many links deep to crawl
• Page Limit: Maximum number of pages to crawl
• Ignore Sitemap: Skip sitemap.xml discovery
• Allow External Links: Crawl links to external domains
• Include/Exclude Paths: Filter which paths to crawl

Extract mode allows you to extract structured data from web pages using LLM:

• Extraction Prompt: Instructions for what data to extract
• JSON Schema: Optional schema for structured data extraction

This playground is designed to work with self-hosted Firecrawl API instances. It's compatible with the Firecrawl API v1 endpoints.

This is a lightweight application built with vanilla JavaScript, HTML, and CSS. Dependencies are loaded from CDNs:

• Milligram CSS for minimal styling
• Marked.js for markdown rendering
• Highlight.js for syntax highlighting

No build process is required - simply edit the files and refresh the browser to see changes.

• Server: Node.js with Express
• Proxy: Custom HTTP proxy middleware
• Configuration: Environment variables via dotenv (.env file)

Here are some examples of how to use the Firecrawler with different modes.

1. Enter URL: https://smcleod.net
2. Select Format: markdown
3. Enable "Only Main Content"
4. Click "Run"

1. Enter URL: https://news.ycombinator.com
2. Select Formats: markdown, screenshot
3. Set Wait For: 3000 (3 seconds)
4. Click "Run"

1. Enter URL: https://github.com
2. Select Formats: html, markdown
3. Disable "Only Main Content" to get the full page
4. Click "Run"

1. Switch to "Crawl" mode
2. Enter URL: https://smcleod.net
3. Set Max Depth: 2
4. Set Page Limit: 10
5. Select Format: markdown
6. Click "Run"

1. Switch to "Crawl" mode
2. Enter URL: https://smcleod.net/about
3. Set Max Depth: 3
4. Set Page Limit: 20
5. Include Paths: blog,posts
6. Exclude Paths: admin,login,register
7. Click "Run"

1. Switch to "Extract" mode
2. Enter URL: https://smcleod.net
3. Extraction Prompt: Extract the main heading, summary, and author from this page.
4. Click "Run"

1. Switch to "Extract" mode
2. Enter URL: https://news.ycombinator.com
3. Extraction Prompt: Extract the top 5 stories with their titles, points, and authors.
4. JSON Schema:

{
  "type": "object",
  "properties": {
    "stories": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "title": { "type": "string" },
          "points": { "type": "number" },
          "author": { "type": "string" }
        }
      }
    }
  }
}

1. Click "Run"