github-trend-finder

Scrape GitHub Trending pages and export repository summaries as JSON and Markdown.

3|6|Updated Apr 24, 2026

Search Tags:#github #web scraping #tech research #ai content #developer trends #trending repositories

Ready to run

npx skills add https://github.com/hoanghd218/claude-ai-mastery --skill github-trend-finder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: github-trend-finder
Source: https://github.com/hoanghd218/claude-ai-mastery/tree/main/mkt/.claude/skills/github-trend-finder
Command: npx skills add https://github.com/hoanghd218/claude-ai-mastery --skill github-trend-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, and includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of manually finding and tracking fast-rising GitHub repositories by collecting trending projects with useful metrics for content research.

Core Features & Use Cases

Trending Repository Discovery: Scrapes GitHub Trending data by time range and programming language to identify popular repositories.
Research Output Generation: Produces structured JSON and Markdown summaries containing repository details, stars, forks, and descriptions for downstream workflows.
Use Case: Content creators and AI marketers can use this Skill to find emerging AI tools, developer projects, and technology trends for news posts, videos, and research briefs.

Quick Start

Use the github-trend-finder skill to find the top daily trending GitHub repositories and summarize the most relevant AI and technology projects for content creation.

Frequently Asked Questions about github-trend-finder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find trending GitHub repositories for tech content research?▼

To find trending GitHub repositories for tech content research, you can scrape GitHub Trending pages by time range and programming language to collect repository popularity data, including stars, forks, and descriptions, then export the results as structured JSON and Markdown summaries.

What is the best way to track fast-rising developer projects and AI tools?▼

Tracking fast-rising developer projects and AI tools is best done by scraping GitHub Trending data to identify emerging repositories, generating research-ready summaries with metrics like stars and forks to support AI content research and technology trend monitoring workflows.

Does web scraping GitHub Trending with requests and BeautifulSoup require specific programming languages?▼

Web scraping GitHub Trending with requests and BeautifulSoup allows you to filter repositories by specific programming languages, enabling targeted developer ecosystem analysis and technology trend monitoring for your preferred tech stack.

Can I export GitHub Trending data to JSON and Markdown for social media content planning?▼

Yes, you can export GitHub Trending data to JSON and Markdown formats for social media content planning. The scraping process generates structured research-ready summaries containing repository details, stars, and descriptions suitable for downstream content creation workflows.

How do I monitor daily GitHub repository trends for developer ecosystem analysis?▼

Monitoring daily GitHub repository trends for developer ecosystem analysis requires scraping the GitHub Trending page using requests and BeautifulSoup to retrieve popularity metrics, producing structured data outputs for tracking fast-rising projects and emerging technology trends.