Github Profile Scraper
Description
This Python script uses the Firecrawl API and Google’s Gemini 2.0 Flash model to analyze GitHub profiles, extracting comprehensive data about a user’s development activities and presenting it in a well-formatted report. The code integrates Firecrawl for web scraping GitHub profile pages and leverages Gemini AI to generate detailed insights about a developer’s professional background, activity patterns, technical portfolio, and community engagement, creating a powerful tool for technical profile analysis.
Related Templates
Explore more templates similar to this one
Top Italian Restaurants in SF
Search for websites that contain the top italian restaurants in SF. With page content
Zed.dev Crawl
The first step of many to create an LLM-friendly document for Zed's configuration.
Developers.campsite.com Crawl
o3 mini Company Researcher
This Python script integrates SerpAPI, OpenAI's O3 Mini model, and Firecrawl to create a comprehensive company research tool. The workflow begins by using SerpAPI to search for company information, then leverages the O3 Mini model to intelligently select the most relevant URLs from search results, and finally employs Firecrawl's extraction API to pull detailed information from those sources. The code includes robust error handling, polling mechanisms for extraction results, and clear formatting of the output, making it an efficient tool for gathering structured company information based on specific user objectives.
o1 Web Crawler
Docs.google.com Scrape
test
Llama 4 Maverick Web Extractor
This Python script integrates SerpAPI, Together AI's Llama 4 Maverick model (specifically "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"), and Firecrawl to extract structured company information. The workflow first uses SerpAPI to search for company data, then employs the Llama 4 model to intelligently select the most relevant URLs (prioritizing official sources and limiting to 3 URLs), and finally leverages Firecrawl's extraction API to pull detailed information from those sources. The code includes robust error handling, logging, and polling mechanisms to ensure reliable data extraction across the entire process.