🔥 GitHub Trending Scraper — Daily & Weekly Top Repos Across All Languages

Pay-per-result GitHub Trending scraper — pulls the live trending feed for repositories and developers, by day / week / month, scoped by language. Returns repo name, stars-gained-today, current totals, primary language, description, and contributor signal. Built for VC scouts, devtool marketers, content creators, and trend-watchers as a no-API alternative to GitHub's official API (trending is not exposed in REST/GraphQL), the unofficial github-trending-api (rate-limited community proxy), SaaS trackers like OpenSauced and StarHistory, and content-discovery tools like Hacker News + Daily.dev.

Why GitHub Trending Scraper Beats GitHub API, OpenSauced & Daily.dev

Feature	NexGenData GitHub Trending Scraper	GitHub official API	OpenSauced	Daily.dev for Teams
Cost	$0.002 / repo, pay-per-result	Trending NOT exposed	Free tier + paid plans	$5-50 / user / month
Trending feed coverage	Yes — official trending page	Not available	Yes (insights view)	Yes (curated mix)
Daily / weekly / monthly scope	All three	N/A	Yes	Yes (curated)
Language filter	Yes — all GitHub-supported languages	N/A	Yes	Yes
Stars-gained-today delta	Yes	N/A	Yes	No
Trending developers feed	Yes	Not available	No	No
Bulk export	Direct dataset → JSON/CSV/Excel	N/A	Limited	UI only
Free trial	Free Apify credits	N/A	Free tier	Limited free

VC scouts, content creators, and devtool marketers pick this actor instead of the unofficial github-trending-api proxy because the community proxy frequently rate-limits and has no SLA. It is a drop-in alternative to scraping the trending page yourself — same data, no maintenance.

What You Get Per Trending Entry

Each dataset item is a flat JSON record:

• rank, feed_type — daily / weekly / monthly
• owner, repo, full_name, html_url, description
• language, language_color
• stars_total, forks_total
• stars_gained_in_period — the delta that earned trending placement
• built_by — array of {login, avatar_url} (the avatars GitHub displays under the entry)
• scraped_at, period_start, period_end
• For trending developers feed: developer_login, developer_name, developer_avatar, developer_bio, popular_repo, developer_country (when public)

Use Cases

• VC devtool scouts — surface fast-rising repos within hours of breakout, not weeks
• Newsletter editors — automate "top 10 trending Rust/Go/Python repos this week"
• DevRel teams — discover micro-influencers in your category (trending developers feed)
• Investors monitoring portfolio — get early signal when a portfolio company's OSS goes viral
• Competitive intel — flag the moment a competitor's library breaks into trending
• Content creators — generate YouTube / Twitter / Substack content on emerging tools
• Open-source maintainers — track adjacent projects in your stack ranked by momentum

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/github-trending-scraper").call(run_input={
    "scope": "daily",
    "languages": ["python", "rust", "typescript"],
    "feedType": "repositories"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["full_name"], item["stars_gained_in_period"], item["language"])

Pricing

Pay-per-event — no community proxy throttle, no monthly minimum.

• Actor Start: $0.0001
• Per trending entry: $0.002

A daily scan across 10 languages (≈250 entries) costs $0.50/day or $15/month. The same volume via the unofficial trending proxy frequently fails on rate-limit.

Related NexGenData Actors

Use case	Actor
Full repo metadata + contributors	GitHub Scraper
Deep stargazer-history analytics	GitHub Repo Stats
Alternative trending crawler	GitHub Trending Scraper v2
GitLab projects + MRs	GitLab Scraper
Docker Hub image pull counts	Docker Hub Scraper
Hacker News + Show HN tracker	Hacker News Scraper
Dev.to articles & dev audience	Dev.to Scraper
Developer Tools MCP server	Developer Tools MCP Server

FAQ

Q: Why is trending not in the GitHub API? GitHub doesn't expose /explore/trending through REST or GraphQL — the trending page is HTML-only. This actor parses the HTML page that GitHub renders and structures it.

Q: How fresh is trending? GitHub recomputes trending periodically through the day. Each run captures the live trending state at scan time.

Q: What's "stars_gained_in_period"? The "X stars today" / "X stars this week" badge that GitHub renders on the trending page — the metric that actually earned the repo its trending placement.

Q: Do you support the trending developers feed? Yes — set feedType: "developers" for the trending-people feed instead of repos.

Q: Schema stability? Versioned per actor release. We monitor the trending-page DOM and ship parser updates within 24h of breaking changes.

Q: Difference between v1 and v2? v2 is an alternative implementation with a slightly different input shape — use whichever you prefer for legacy compatibility.

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

---

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata