Zenolve Feeds
AI research data

HuggingFace Daily Papers API

Trending AI/ML papers from HuggingFace Daily Papers as structured JSON - title, link, and community upvotes.

Source: Hugging Face$0.01 / recordJSON · CSV · ExcelMCP tool for AI agents

What this feed does

HuggingFace's Daily Papers is the community-voted ranking of what matters in AI/ML research today - and it has no official bulk API. This feed scrapes the live page and returns each trending paper as structured JSON with its upvote count.

Structured, not scraped-by-you

Clean JSON with stable field names - no HTML parsing, no selectors to maintain when the site changes.

Pay only for what you pull

No subscription. $0.01 per record via Apify's metered billing; a typical pull is cents.

Human + agent ready

Call it from cURL, Python, or JS - or hand it to an AI agent as an MCP tool.

Always the latest

Scraped from the official source on every run, so you never ship stale data.

What each record contains

Every result is a JSON object with these fields.

FieldTypeDescription
titlestringPaper title.
upvotesstringCommunity upvote count at scrape time.
urlstring, URLLink to the paper page on huggingface.co.

Live sample

The most recent records, straight from the feed. Live sample - fetched at build time

Call it in one line

Runs the actor and returns the dataset. Swap in your Apify token.

cURL - one call, JSON back
curl "https://api.apify.com/v2/acts/zenolvepro~huggingface-daily-papers/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN"
Python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("zenolvepro/huggingface-daily-papers").call()
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)
JavaScript / Node
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('zenolvepro/huggingface-daily-papers').call();
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
AI agents - Model Context Protocol (MCP)
https://mcp.apify.com?tools=zenolvepro/huggingface-daily-papers

Point any MCP-capable agent at this endpoint and the feed becomes a callable tool.

Who uses it

Research-intel dashboards, AI newsletter writers, and AI-lab / VC competitive tracking use it for monitoring, benchmarking, alerting, and enrichment.

Pricing

$0.01per record returned · pay-per-result, no subscription

Billed through Apify. A tiny per-run start fee ($0.00005) applies. Only pay for records you actually pull.

FAQ

Is there a free HuggingFace papers API?
There is no official bulk/list API for Daily Papers. This feed scrapes the live page and returns JSON at $0.01 per record.
How is the ranking determined?
It reflects HuggingFace's own community upvotes at the moment you call - a real-time signal of what researchers care about.
What does each record include?
title, upvotes, and the url of the paper's HuggingFace page.
How current is it?
Live - each call scrapes the page at request time, including today's papers.
Can an AI agent call this directly?
Yes - exposed as an MCP tool for native agent calls.