CoolFace
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Gopher-Lab/Bittensor_Whitepaper_Webscrape_Example

🌐 Web Scraper: Turn Any URL into AI-Ready Data Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline. Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web. ✨ Key Features ⚡ Scrape Any Public Page – Works on blogs, websites… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/Bittensor_Whitepaper_Webscrape_Example.

sourceHugging Faceupdated 1y agoView on Hugging Face
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1# 🌐 Web Scraper: Turn Any URL into AI-Ready Data2 3Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline.4 5Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web.6 7## ✨ Key Features8 9- ⚡ **Scrape Any Public Page** – Works on blogs, websites, docs, wikis, PDFs, and more  10- ✂️ **Noise-Free Output** – Removes navigation bars, ads, cookie banners & fluff  11- 🔄 **Smart Scroll Handling** – Automatically detects long-form content & pagination  12- 🧩 **LLM-Ready Format** – Returns structured JSON for agents, RAG, or fine-tuning  13- 💸 **Free Tier** – Up to 100 scraping queries during beta  14 15---16 17## 🛠 How It Works18 191. **Open the Web Scraper**  202. **Paste the URL** you want to extract content from  213. **Run** – Our engine renders the page, strips away irrelevant elements, and structures the main content  224. **Download or Copy** the results as clean JSON  23 24---25 26## 🔥 Popular Use Cases27 28- Wikipedia pages & academic research  29- Technical docs, blogs, and news articles  30- Long-form content and multi-page posts  31- Content-rich & multi-modal web data  32- Input pipelines for agents, search, and LLMs  33 34---35 36## 🚀 Start Scraping Now  37👉 [Launch Web Scraper](https://bit.ly/43LGv5p)38 39Need help? Join the [Masa Discord #developers](https://discord.com/invite/HyHGaKhaKs)40 41license: mit42task_categories:43- text-classification44- table-question-answering45- zero-shot-classification46language:47- en48tags:49- Bittensor50- Masa51- Subnet52- Webscrape53- Whitepaper54size_categories:55- 1K<n<10K56