| --- |
| license: mit |
| task_categories: |
| - text-classification |
| - table-question-answering |
| - zero-shot-classification |
| language: |
| - en |
| tags: |
| - wikipedia |
| - bitcoin |
| - webscraper |
| - Masa |
| --- |
| # 🌐 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, docs, wikis, PDFs, and more |
| - ✂️ **Noise-Free Output** – Removes navigation bars, ads, cookie banners & fluff |
| - 🔄 **Smart Scroll Handling** – Automatically detects long-form content & pagination |
| - 🧩 **LLM-Ready Format** – Returns structured JSON for agents, RAG, or fine-tuning |
| - 💸 **Free Tier** – Up to 100 scraping queries during beta |
|
|
| --- |
|
|
| ## 🛠 How It Works |
|
|
| 1. **Open the Web Scraper** |
| 2. **Paste the URL** you want to extract content from |
| 3. **Run** – Our engine renders the page, strips away irrelevant elements, and structures the main content |
| 4. **Download or Copy** the results as clean JSON |
|
|
| --- |
|
|
| ## 🔥 Popular Use Cases |
|
|
| - Wikipedia pages & academic research |
| - Technical docs, blogs, and news articles |
| - Long-form content and multi-page posts |
| - Content-rich & multi-modal web data |
| - Input pipelines for agents, search, and LLMs |
|
|
| --- |
|
|
| ## 🚀 Start Scraping Now |
| 👉 [Launch Web Scraper](https://bit.ly/43LGv5p) |
|
|
| Need help? Join the [Masa Discord #developers](https://discord.com/invite/HyHGaKhaKs) |
|
|
