Hugging Face Scraper - Trending Models, Datasets & Spaces
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from $10.00 / 1,000 results
Hugging Face Scraper - Trending Models, Datasets & Spaces
Scrape trending, most-downloaded and most-liked Hugging Face models, datasets and spaces. Filter by author, task or keyword. No token required.
Pricing
from $10.00 / 1,000 results
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Hugging Face Scraper π€ β Trending Models, Datasets & Spaces
Track the Hugging Face ecosystem programmatically. Scrape trending, most-downloaded, and most-liked models, datasets, and spaces β filter by author, task, or keyword β straight to a dataset you can export as JSON/CSV/Excel. No token required.
Perfect for ML teams tracking releases, VCs, competitive intelligence, AI newsletters, and dataset discovery.
What it does
- Scrape models, datasets, and/or spaces in one run
- Sort by trending, downloads, likes, recently-updated, or newest
- Filter by search term, author/org, and task (pipeline tag)
- Enriched fields: parsed
licenseand deriveddaysSinceUpdate
Example input
{"resourceTypes":["models","datasets"],"sort":"trendingScore","task":"text-generation","maxItems":200}
Example output (one item per result)
{"resourceType":"model","id":"zai-org/GLM-5.2","url":"https://huggingface.co/zai-org/GLM-5.2","author":"zai-org","downloads":40127,"likes":2255,"trendingScore":1348,"task":"text-generation","library":"transformers","license":"mit","daysSinceUpdate":1,"lastModified":"2026-06-23T03:56:16.000Z"}
Use cases
- Track model releases from a competitor org (
author: "meta-llama") on a schedule. - Discover trending datasets for fine-tuning or RAG by task.
- Newsletter / research β pull the week's top models for write-ups.
- Market intelligence β monitor what's gaining traction in AI.
Run locally first
pip install-r requirements.txtpython3 local_test.py # hits the real HF API, no Apify account needed
Then publish with the Apify CLI: apify push.
Notes
- Uses only the public Hugging Face API (
https://huggingface.co/api). - Handles cursor pagination and rate limits automatically.
maxItemscaps total results so costs stay predictable.
Not affiliated with Hugging Face. Reads public data only.
