GitHub Trending Scraper — Repositories & Developers avatar

GitHub Trending Scraper — Repositories & Developers

Pricing

from $2.00 / 1,000 github repositories

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GitHub Trending Scraper — Repositories & Developers

GitHub Trending Scraper — Repositories & Developers

Scrape GitHub Trending repositories by language and date range. Returns repository names, descriptions, stars, forks, languages, and URLs for developer intelligence, trend monitoring, and startup research.

Pricing

from $2.00 / 1,000 github repositories

Rating

0.0

(0)

Developer

Fast API

Fast API

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Extract clean, structured JSON from GitHub Trending HTML. This Actor is built for developer trend monitoring, startup research, open-source intelligence.

What you can do with it

  • Developer trend monitoring
  • Startup research
  • Open-source intelligence

Features

  • Trending repositories by language and date range
  • Stars, forks, descriptions, and URLs
  • Good for market and developer ecosystem monitoring
  • Lightweight scraping without browser automation

Example input

{
"language": "python",
"since": "daily",
"maxItems": 25
}

Example output

{
"rank": 1,
"repository": "owner/repo",
"url": "https://github.com/owner/repo",
"description": "A trending open-source project",
"language": "Python",
"stars": "12,345",
"forks": "1,234"
}

Output

Results are saved to the default Apify dataset as structured JSON. The actor includes an output schema so results are easy to preview, export, and consume from API clients.

Pricing

This Actor is configured for pay-per-result monetization using Apify's pay-per-event model. Users pay for dataset items/results rather than a large fixed upfront fee.

Common use cases

  • AI/RAG dataset creation
  • Market research and competitive intelligence
  • Trend monitoring
  • Data enrichment pipelines
  • Scheduled data extraction

Keywords

github trending scraper, open source trends, developer intelligence, trending repositories

Notes

This Actor focuses on practical structured data extraction with clean defaults and low overhead. For large runs, start with a small maxItems value, verify the output, then scale up.