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$19.89/month + usage

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Hugging Face Models Scraper - Cheap 🤗🤖🔎

Try for free

🟠 Easily collect Models from Hugging Face Provide one or multiple search keywords and extract structured model data including model name, owner, likes, downloads, tags, last update date, match count & more 🤖📊 Perfect for AI model research, popularity tracking & model ecosystem monitoring 🚀

Pricing

$19.89/month + usage

Rating

5.0

(1)

Developer

Storm_Scraper

Actor stats

Bookmarked

Total users

Monthly active users

10 hours ago

Last modified

Hugging Face Models Full-Text Search Scraper 🚀🔎🤖

The Hugging Face Models Full-Text Search Scraper is a powerful automation tool designed to extract model search results only from Hugging Face.

Whether you're researching AI architectures, analyzing open-source implementations, tracking keyword usage in repositories, or building ML intelligence datasets — this scraper helps you collect structured model-level search data quickly and reliably.

🔍 What It Does

Simply provide one or more keywords, and the scraper will:

✅ Search Models only (no Datasets or Spaces)

✅ Process multiple keywords independently

✅ Respect maxItemsPerKeyword limits

✅ Extract repository-level and file-level match data

✅ Provide ready-to-use dataset views

📊 Data Extracted

🔹 Overview Fields

Field	Description
👤 owner	Model repository owner
🤖 repoName	Model repository name
🔍 matchCount	Number of keyword matches found
🔑 keyword	Search keyword used
🔗 repoFullUrl	Full model page URL
📄 fileFullUrl	URL of matched file

🔹 Detailed Fields

Field	Description
owner	Model owner
repoName	Model name
repoHref	Repository relative path
repoFullUrl	Full model URL
fileName	File containing match
fileHref	File relative path
fileFullUrl	Full file URL
matchCount	Number of matches
tags	Parsed model tags
tagsRaw	Raw tags data
codeSnippet	Extracted matching snippet
keyword	Search keyword
sourceUrl	Search results URL

🛠 How to Use

1️⃣ Deploy the Actor on Apify

2️⃣ Provide one or more keywords (e.g., bert, llama, stable-diffusion)

3️⃣ Set maxItemsPerKeyword

4️⃣ Run the scraper

5️⃣ Export your data in:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

💸 Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

💳 Price: $19.89 / month

If you're interested in other Rutube, E-commerce, Events, Real Estate, Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

You can even apply sentiment analysis on the data text we've extracted! 😃📊:

Sentiment Analysis Text Classification 📈

⚙️ Input Configuration

📥 Input Example

{
  "keywords": ["bert", "llama"],
  "maxItemsPerKeyword": 100
}

Input Fields

Field	Type	Description
`keywords`	Array	One or more keywords to search for models (required)
`maxItemsPerKeyword`	Integer	Maximum number of results per keyword (0 = unlimited until pagination stops automatically)

📤 Output Example

{
    "owner": "google-bert",
    "repoName": "bert-base-uncased",
    "repoHref": "/google-bert/bert-base-uncased",
    "repoFullUrl": "https://huggingface.co/google-bert/bert-base-uncased",
    "fileName": "README.md",
    "fileHref": "/google-bert/bert-base-uncased/blob/main/README.md?code=true",
    "fileFullUrl": "https://huggingface.co/google-bert/bert-base-uncased/blob/main/README.md?code=true",
    "matchCount": "40 matches",
    "tags": [
      "transformers",
      "pytorch",
      "tf",
      "jax",
      "rust",
      "coreml",
      "onnx",
      "safetensors",
      "bert",
      "fill-mask",
      "exbert",
      "en",
      "dataset:bookcorpus",
      "dataset:wikipedia",
      "arxiv:1810.04805",
      "license:apache-2.0",
      "endpoints_compatible",
      "deploy:azure",
      "region:us"
    ],
    "tagsRaw": "tags: transformers, pytorch, tf, jax, rust, coreml, onnx, safetensors, bert, fill-mask, exbert, en, dataset:bookcorpus, dataset:wikipedia, arxiv:1810.04805, license:apache-2.0, endpoints_compatible, deploy:azure, region:us",
    "codeSnippet": "# BERT base model (uncased)\nPretrained model on English language using a masked language modeling (MLM) objective. It was introduced in\n[this paper](https://arxiv.org/abs/1810.04805) and first released in\n[this repository](https://github.com/google-research/bert). This model is uncased: it does not make a difference",
    "keyword": "bert",
    "sourceUrl": "https://huggingface.co/search/full-text?q=bert&type=model"
  }

📊 Preconfigured Dataset Views

🔹 Overview

Clean table including:

Owner

Model Name

Match Count

Keyword

Model Page

Matched File

Perfect for fast keyword-based model comparison.

🔹 Detailed

Extended dataset including:

Repository paths

File-level matches

Tags (parsed & raw)

Code snippets

Source search URL

Ideal for:

🤖 AI architecture research 🔎 Code-level keyword discovery 📊 Model ecosystem intelligence 📈 Technical trend monitoring

🔹 By Keyword

Grouped by keyword:

Keyword

Owner

Model

Match count

Model page

Perfect for comparing model coverage across multiple AI topics.

🌍 Why Use This Scraper?

📊 Model Ecosystem Intelligence

🔎 Full-Text Repository Search Automation

🤖 AI Architecture Research

📈 Trend & Keyword Monitoring

⚡ Scalable — From niche keyword scans to broad AI research

🤖 Automation Ready — Schedule recurring monitoring

Disclaimer

This scraper is an independent automation tool and is not affiliated with, endorsed by, or sponsored by Hugging Face.

📫 Support & Contact

😊 Leave a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied

🌪️ Storm Scraper https://apify.com/scrapestorm

For questions, feature requests, or custom scraping solutions, contact us directly via Apify or email.

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