GitHub Trending Repos and Developers Radar
Pricing
$1.00 / 1,000 results
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GitHub Trending Repos and Developers Radar
Scrape trending open-source GitHub repositories by language and growth timeframe. Track stars, forks, maintainers, and breakout AI projects.
Pricing
$1.00 / 1,000 results
Rating
0.0
(0)
Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
16 hours ago
Last modified
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GitHub Trending Repositories Scraper
Scrape trending GitHub open-source repositories by programming language and growth timeframe.
Features
- Tracks repositories trending daily, weekly, or monthly.
- Filters by any GitHub programming language or language-agnostic all-languages feed.
- Extracts star gains during the selected period alongside total star counts.
- Pulls repository descriptions, primary languages, fork counts, and maintainer details.
- Extracts topic tags for repository categorization.
- Executes in seconds without needing a GitHub personal access token.
Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
topic | String | "ai" | Filter by topic or keyword (e.g. ai, agent, rust, devtools). |
language | String | "all" | Programming language (python, typescript, javascript, rust, go, etc.). |
timeRange | String | "this_week" | Activity window: this_week, this_month, or this_year. |
minStars | Integer | 100 | Minimum star threshold. |
sortBy | String | "stars" | Ranking metric: stars, forks, or updated. |
maxRepos | Integer | 50 | Maximum number of repositories to extract. |
Output format
json { "name": "vllm", "fullName": "vllm-project/vllm", "owner": "vllm-project", "ownerType": "Organization", "ownerAvatar": "https://avatars.githubusercontent.com/u/137748408?v=4", "url": "https://github.com/vllm-project/vllm", "description": "A high-throughput and memory-efficient LLM serving engine", "language": "Python", "stars": 34500, "forks": 5200, "openIssues": 480, "license": "Apache-2.0", "topics": ["llm", "inference", "deep-learning", "python"], "homepage": "https://vllm.ai", "createdAt": "2023-06-12T05:22:00.000Z", "updatedAt": "2026-10-20T10:15:00.000Z", "scrapedAt": "2026-10-20T12:00:00.000Z" }Use cases
- Technology radar: Identify breakout developer tools, frameworks, and libraries early.
- Content curation: Automate weekly developer newsletters highlighting top open-source projects.
- Competitive monitoring: Watch developer interest shifts across competing ecosystems.
- Open-source research: Track which languages and paradigms are gaining adoption.
Pricing and efficiency
- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.
