GitHub Trending Repositories Scraper

Scrape trending repositories from GitHub Trending by programming language and time range. Get repo names, stars, forks, descriptions, primary languages, and period star counts — all in structured JSON output.

This Actor runs on the Apify platform, giving you scheduled runs, API access, and automatic data export to JSON, CSV, or Excel.

What does GitHub Trending Repositories Scraper do?

This Actor extracts repository data from GitHub Trending pages. Each result includes the repo name, full URL, description, primary programming language, total star count, fork count, and stars gained in the selected period (today, this week, or this month).

It supports all programming languages available on GitHub Trending — simply enter a language like python or javascript to filter results, or leave it empty for all languages.

Why use GitHub Trending Repositories Scraper?

• Track trending repos — Monitor what's popular daily, weekly, or monthly across any programming language
• Market research — Identify rising projects and tools by language ecosystem
• Developer intelligence — Feed trending data into dashboards, newsletters, or recommendation engines
• Automated curation — Schedule daily runs and get alerts when new repos trend in your stack

Use Cases

How to track trending Python repositories daily

Set language: "python" and since: "daily" to get the top trending Python repos each day. The stars_today field shows exactly how many stars were gained in the period.

How to find trending AI agent repositories

Use language: "python" with since: "weekly" to discover trending AI and LLM agent frameworks. Filter results by keywords like "agent", "LLM", or "transformer" in the description field.

How to monitor trending JavaScript frameworks

Set language: "javascript" and since: "weekly" to track which JS frameworks are gaining traction. The star count and fork count help gauge community adoption.

How to discover new Rust projects

Use language: "rust" with since: "monthly" for a broader view of the Rust ecosystem. Rust trending repos often include CLI tools, WebAssembly projects, and systems libraries.

How to use GitHub Trending Repositories Scraper

1. Open the Actor in Apify Console
2. (Optional) Enter a programming language like python or javascript to filter results
3. Select the time range: Daily, Weekly, or Monthly
4. Set how many repositories you want (max 100)
5. Click Run and wait for results

That's it. Your scraped data appears as a structured table in the Output tab and can be downloaded in JSON, HTML, CSV, or Excel.

Input

Field	Type	Default	Description
language	string	—	Programming language filter (e.g. python, javascript). Leave empty for all languages.
since	string	daily	Time range: daily, weekly, or monthly
max_results	integer	25	Maximum number of repositories to return (1–100)

Example input:

{
    "language": "python",
    "since": "weekly",
    "max_results": 10
}

Output

Each result is a repository object with the following fields:

{
    "name": "psf/black",
    "url": "https://github.com/psf/black",
    "description": "The uncompromising Python code formatter",
    "language": "Python",
    "stars": 40123,
    "forks": 2567,
    "stars_today": 89,
    "stars_period_label": "stars today"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from Apify Console.

Data fields

Field	Type	Description
name	string	Full repository name (owner/repo)
url	string	Full GitHub URL
description	string	Repository description
language	string or null	Primary programming language
stars	integer	Total star count
forks	integer	Total fork count
stars_today	integer or null	Stars gained in the selected period
stars_period_label	string	Period label (e.g. "stars today", "stars this week")

Pricing

Cost example: 25 repos = 15 paid results × $0.02 = $0.30 per run. First 10 results are free.

The first 10 results per run are free. After that, each additional result costs $0.02. A typical daily run with 25 results costs $0.30.

Tips

• Filter by language — Use the language field to narrow results to your stack. Empty = all languages.
• Choose the right since — daily works best for fresh trends. Use weekly or monthly for sustained momentum.
• Limit results — Set max_results to 25 or fewer to stay within the free tier.
• Schedule daily — For the best experience, schedule this Actor to run daily and track trending repos over time.

FAQ, disclaimers, and support

Is scraping GitHub trending allowed? This Actor only extracts publicly available data from GitHub's trending page, which is accessible without authentication. Always review GitHub's Terms of Service for compliance.

Known limitations: The Actor parses the public GitHub trending HTML page, so results depend on GitHub's page structure. If GitHub significantly changes their markup, the scraper may need an update.

Need help? Open an issue on the Issues tab or contact us for custom solutions.