Multi-Source Trending Snapshot
Pricing
Pay per usage
Multi-Source Trending Snapshot
One run returns a cross-source snapshot as a single table: fastest-rising new GitHub repos, Hugging Face models by trending score, and the latest arXiv cs.AI papers. Unified fields, so you compare across sources, not three scrapers.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Jiang Zhag
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
Categories
Share
One run → one comparable table from three sources:
| source | what you get | score field |
|---|---|---|
github | fastest-rising new repos (created within N days, sorted by stars) | stars |
huggingface | models sorted by Hugging Face trending score | trendingScore |
arxiv | latest cs.AI papers (title, authors, abstract, link) | published date |
Every row shares the same shape, so you can filter/sort across sources in one pass:
{"source": "github", "kind": "repo", "title": "owner/name","url": "https://github.com/owner/name", "score": 24544, "score_label": "stars","extra": {"language": "C++", "forks": 2494, "description": "..."},"collected_at": "2026-10-14T21:44:16+00:00"}
Input
sources— any subset ofgithub,huggingface,arxiv(default: all three)maxItemsPerSource— default 20sinceDays— for GitHub only: only repos created in the last N days (default 30)
Why three sources in one actor
Most scrapers here cover a single source. If you need "what is actually trending right now" in one pipeline, you otherwise run and join three different actors with three different schemas. This returns a single dataset with unified fields.
Notes
- Uses public APIs only (GitHub Search API, Hugging Face API, arXiv Atom API). No login required.
- If one source fails, the run still returns the others — and the failure is logged, never silent.
Free version of a larger pipeline
This Actor is the free snapshot: three sources, unified fields, no key, no account. The same collection pipeline also publishes these, if you need more:
- Free daily digest — 4 signals a day, every edition archived: https://data.jiangzhang.ca/signals4/latest.html
- Full raw archive (every day's snapshot as JSONL, CC BY 4.0): https://github.com/jiangzhangcc-glitch/ai-signals-daily
- More sources and history — 8 sources instead of 3, four updates a day, stable API key: https://data.jiangzhang.ca/signals4/go?to=landing&src=apify
- Pay once, CA$5 — the compiled dataset bundle (single JSONL, indexed SQLite, tidy daily entity CSV), refreshed daily: https://buy.stripe.com/00w28r4W08qq8CcecHgw008?client_reference_id=apify
Data here is collected from public APIs and links to each original source. The mirrors above are CC BY 4.0 with attribution to "Signals 4 (Signals API)".