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Hugging Face Scraper | Hub Models & Authors

Try for free

Scrape the Hugging Face Hub: models, datasets, Spaces, papers and collections. Rows include author names, socials, and the Hugging Face org press email when published. No phones or street address. Guest Hub REST — no API token, no weight download. Export CSV, Excel or JSON.

Pricing

from $2.20 / 1,000 results

Rating

0.0

(0)

Developer

kane liu

Actor stats

Bookmarked

Total users

Monthly active users

2 hours ago

Last modified

Categories

Developer tools

You can access the Hugging Face Scraper | Hub Models & Authors 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "query": "bert",
10    "owner": "",
11    "searchType": "models",
12    "maxResults": 3,
13    "repoKind": "",
14    "pipelineTag": "",
15    "modality": "",
16    "spaceFilter": "",
17    "language": "",
18    "author": "",
19    "sort": "",
20    "maxPages": 1,
21    "enrichDetails": True,
22    "datasetConfig": "",
23    "datasetSplit": "",
24    "datasetOffset": 0,
25    "datasetLength": 100,
26    "targetPath": "",
27    "rev": "main",
28    "paperDate": "",
29    "commitSha": "",
30    "wantFull": False,
31    "wantConfig": False,
32}
33
34# Run the Actor and wait for it to finish
35run = client.actor("lentic_clockss/huggingface-scraper").call(run_input=run_input)
36
37# Fetch and print Actor results from the run's dataset (if there are any)
38print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
39for item in client.dataset(run.default_dataset_id).iterate_items():
40    print(item)
41
42# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Hugging Face Hub Scraper | Models & Authors API in Python

The Apify API client for Python is the official library that allows you to use Hugging Face Scraper | Hub Models & Authors API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Hugging Face Scraper | Hub Models & Authors API in JavaScript

Hugging Face Scraper | Hub Models & Authors API through CLI

Hugging Face Scraper | Hub Models & Authors OpenAPI definition

Hugging Face Scraper | Hub Models & Authors API

Hugging Face Model Scraper

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Search and scrape Hugging Face models by task, library, or query. Returns id, downloads, likes, pipeline_tag, library_name, tags, last modified. Pay per model returned.

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Huggingface Intelligence Scraper

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Scrape Hugging Face models, datasets, and spaces via public API. Get downloads, likes, trending models, pipeline tags, and more. Perfect for AI market research.

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khadinakbar/huggingface-all-in-one-scraper

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Khadin Akbar

Hugging Face Scraper Goat

goat255/huggingface-scraper

Scrape the Hugging Face Hub without a login. Search or list AI models, datasets, and spaces, sorted by downloads, likes, trending, or recency, and optionally filtered by task, library, or author. Returns clean rows with downloads, likes, task, library, tags, file count, and dates.