Hugging Face Datasets Scraper
Pricing
from $0.30 / 1,000 dataset metadata records
Go to Apify Store
Hugging Face Datasets Scraper
Scrape public Hugging Face dataset metadata, tags, access flags, downloads, likes, and recency signals.
Hugging Face Datasets Scraper
Pricing
from $0.30 / 1,000 dataset metadata records
Scrape public Hugging Face dataset metadata, tags, access flags, downloads, likes, and recency signals.
You can access the Hugging Face Datasets Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "searchQueries": [10 "finance",11 "medical imaging",12 ],13 "datasetIds": [14 "squad",15 "HuggingFaceH4/ultrachat_200k",16 ],17}18
19# Run the Actor and wait for it to finish20run = client.actor("fetch_cat/hugging-face-datasets-scraper").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Hugging Face Datasets Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: