🔥 GitHub Trending Scraper

🚀 Export trending GitHub repositories in seconds. Filter by programming language, time period, and spoken language. Get rank, stars, forks, descriptions, and owner avatars. No API key, no login, no rate limits.

The GitHub Trending Scraper exports the GitHub Trending page and returns 13 fields per record - including rank, full repository name, owner, description, programming language, star count, fork count, stars gained today, and the owner avatar URL. GitHub Trending is the community-curated leaderboard for the most popular open source repositories of the day, week, or month.

The page covers every major programming language, human language, and time window GitHub supports. This Actor makes that data downloadable as CSV, Excel, JSON, or XML in seconds, without writing any scraping code or managing proxies.

🎯 Target Audience	💡 Primary Use Cases
Developers, researchers, DevRel teams, newsletter curators, VC scouts, open-source advocates, data journalists	Trend monitoring, language ecosystem analysis, dev newsletter curation, repo discovery, VC deal sourcing, competitive intelligence

📋 What the GitHub Trending Scraper does

Four workflows in a single run:

• 🌐 Worldwide export. All 25 trending repositories, regardless of language.
• 💻 Language filter. Restrict to a specific language slug like python, rust, go, typescript, or javascript.
• 📆 Time period filter. Daily (last 24 hours), Weekly (last 7 days), or Monthly (last 30 days).
• 🗣️ Spoken language filter. Narrow by human language code like en, zh, es, or ja.

Each record includes the repository rank, owner, name, full name, description, programming language, total star count, fork count, stars earned in the selected period, and direct URL.

💡 Why it matters: GitHub Trending surfaces what the developer community is excited about right now. Manually checking daily adds up. This Actor automates that signal and feeds it into your newsletter, Slack bot, dashboard, or investment research pipeline in one scheduled run.

📊 Data fields

Each record includes: archived, contributorsShown, createdAt, defaultBranch, description, disabled, fork, fullName, githubId, homepage, isTemplate, language, languageColor, license, name, networkCount, openIssues, owner, period, pushedAt, rank, scrapedAt, size, starsThisPeriod, topics, totalForks, totalStars, updatedAt, url, watchers. All 30 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: GitHub Trending is a curated list - it shows at most 25 repositories per page. The starsToday field reflects stars gained in the selected period (not always literally "today" for weekly or monthly views). The language field can be null for repositories that GitHub has not classified with a primary language.

🚀 How to use

1. Create a free Apify account w/ $5 credit
2. Open the GitHub Trending Scraper in Apify Store
3. Set your filters: language, time period, spoken language
4. Set maxItems (up to 25)
5. Click Run and wait under 5 seconds
6. Download your dataset as CSV, Excel, JSON, or XML

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💡 Pro Tip: browse the complete ParseForge collection for scrapers covering developer tools, job boards, datasets, and tech platforms.

This Actor scrapes the publicly available GitHub Trending page. It does not access private repositories, authenticated endpoints, or any data not visible to an anonymous visitor. Use responsibly and in accordance with GitHub's Terms of Service.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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