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$24.99/month + usage

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HuggingFace Scraper (All-in-One) 🚀🤗🔎

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🟠 Easily collect Models, Datasets & Spaces from Hugging Face Provide one or multiple search keywords and extract data across the entire HuggingFace ecosystem including Repository name 👤 Owner 🔗 Source search URL & more… Perfect for AI architecture research & full ecosystem intelligence 🚀🤖

Pricing

$24.99/month + usage

Rating

5.0

(1)

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Storm_Scraper

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Monthly active users

16 hours ago

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HuggingFace All-in-One Full-Text Search Scraper 🚀🤗🔎

The HuggingFace All-in-One Full-Text Search Scraper is a powerful automation tool designed to extract Models, Datasets, and Spaces directly from full-text search results on Hugging Face.

Whether you're researching AI architectures, tracking dataset usage, analyzing open-source ML tools, or monitoring ecosystem trends — this scraper helps you collect structured, keyword-level intelligence across the entire HuggingFace platform.

🌟 What Makes It “All-in-One”?

Unlike single-type scrapers, this actor lets you:

✅ Search Models

✅ Search Datasets

✅ Search Spaces

✅ Combine all three in one run

✅ Process multiple keywords independently

✅ Respect maxItemsPerKeyword limits

✅ Extract repository-level + file-level match data

✅ Access pre-configured dataset views instantly

📊 Data Extracted

🔹 Core Fields

Field	Description
`contentType`	Models / Datasets / Spaces
`owner`	Repository owner
`repoName`	Repository name
`matchCount`	Number of keyword matches
`keyword`	Search keyword used
`repoFullUrl`	Full repository URL
`fileFullUrl`	URL of matched file

🔹 Extended Fields

Field	Description
`repoHref`	Relative repository path
`fileName`	File containing match
`fileHref`	File relative path
`tags`	Parsed tags
`tagsRaw`	Raw tags string
`codeSnippet`	Extracted matching snippet
`searchTypes`	Selected content types filter
`sourceUrl`	Original search results URL

🛠 How to Use

Simply:

1️⃣ Deploy the Actor on Apify

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

3️⃣ Select content types:

Models

Datasets

Spaces

4️⃣ Set maxItemsPerKeyword

5️⃣ Run the scraper

6️⃣ Export your results in:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

💸 Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

💳 Price: $24.99 / 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"],
  "searchTypes": ["Models", "Datasets", "Spaces"],
  "maxItemsPerKeyword": 60
}

Input Fields

Field	Type	Description
`keywords`	Array	One or more search keywords (required). Each keyword is processed independently.
`searchTypes`	Array	Select Models, Datasets, Spaces — or combine them freely.
`maxItemsPerKeyword`	Integer	Maximum results per keyword (across all selected types combined).

📤 Output Example

{
    "contentType": "dataset",
    "owner": "Giannis79",
    "repoName": "BERT_Journalism_Sentiment",
    "repoHref": "/datasets/Giannis79/BERT_Journalism_Sentiment",
    "repoFullUrl": "https://huggingface.co/datasets/Giannis79/BERT_Journalism_Sentiment",
    "fileName": "README.md",
    "fileHref": "/datasets/Giannis79/BERT_Journalism_Sentiment/blob/main/README.md?code=true",
    "fileFullUrl": "https://huggingface.co/datasets/Giannis79/BERT_Journalism_Sentiment/blob/main/README.md?code=true",
    "matchCount": "12 matches",
    "tags": [
      "region:us"
    ],
    "tagsRaw": "tags: region:us",
    "codeSnippet": "BERT Model Sentiment Analysis\nProject Overview\nThis repository contains scripts and resources for performing sentiment analysis on news articles referring to Russinan-Ukrainian 2022 War using a pre-trained BERT model. The goal is to classify the sentiment of each article as either Pro-Russian or Pro-Ukrainian and calculate a sentiment score.",
    "keyword": "bert",
    "searchTypes": [
      "Datasets",
      "Spaces"
    ],
    "sourceUrl": "https://huggingface.co/search/full-text?q=bert&type=dataset&type=space"
  }

📊 Preconfigured Dataset Views

The actor automatically generates structured dataset views:

🔹 Overview

Clean comparison table including:

Type

Owner

Name

Match Count

Keyword

Page URL

Matched File

Perfect for high-level ecosystem analysis.

🔹 Detailed

Extended table including:

Repository paths

File-level matches

Tags (parsed + raw)

Code snippets

Search URL

Ideal for:

🤖 AI architecture research

🔎 Code-level keyword discovery

📊 Dataset trend analysis

🧠 Model ecosystem intelligence

🔹 By Keyword

Grouped by keyword across all selected content types. Perfect for comparing topic coverage.

🔹 By Type

Grouped by Models / Datasets / Spaces.

Perfect for understanding distribution across the platform.

🌍 Why Use This Scraper?

📊 Full HuggingFace Ecosystem Intelligence

🔎 Full-Text Repository Search Automation

🤖 Model + Dataset + App (Spaces) Discovery

📈 Technical Trend Monitoring

⚡ Scalable — from niche scans to large-scale 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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