🔥fireScraper AI Prompt Website Content Markdown Scraper
Pricing
$15.00 / 1,000 promptresults
🔥fireScraper AI Prompt Website Content Markdown Scraper
fireScrape AI is an advanced web scraper built with Crawlee and Puppeteer. It crawls websites, extracts meaningful content, converts it into Markdown, then runs your custom prompt on the extracted text—ideal for generating enriched datasets, summaries or analyses for LLMs and AI pipelines
5.0 (1)
Pricing
$15.00 / 1,000 promptresults
1
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
2 days ago
You can access the 🔥fireScraper AI Prompt Website Content Markdown Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=mohamedgb00714/firescraper-ai-prompt-website-content-markdown-scraper", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with 🔥fireScraper AI Prompt Website Content Markdown Scraper
You have a few options for interacting with the MCP server:
Use
mcp.apify.comviamcp-remotefrom your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=mohamedgb00714/firescraper-ai-prompt-website-content-markdown-scraperalong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=mohamedgb00714/firescraper-ai-prompt-website-content-markdown-scraper", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
