HuggingFace Daily Papers Scraper
Pricing
from $10.00 / 1,000 results
Scrape HuggingFace's Daily Papers feed: title, paper URL, and community upvote count for every trending AI/ML paper, ranked by votes. Powers research-intel dashboards, newsletter digests, and AI-lab/VC competitive tracking. No official bulk/list API exists. Pay per result.
You can access the HuggingFace Daily Papers 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 Integrations settings 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 "url": "https://huggingface.co/papers",10 "itemSelector": "article",11 "fields": {12 "title": "h3 a::text",13 "url": "h3 a::attr(href)",14 "upvotes": "[class=\"leading-none\"]::text",15 },16 "proxy": { "useApifyProxy": True },17}18
19# Run the Actor and wait for it to finish20run = client.actor("zenolvepro/huggingface-daily-papers").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).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 HuggingFace Daily Papers Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: