RAG Web Browser
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RAG Web Browser
RAG Web Browser is a lightweight Python Actor that fetches any URL or search query, strips ads and clutter, and extracts clean, readable text from web pages. It returns structured, LLM-ready content optimized for retrieval-augmented generation pipelines and AI-powered applications.
Pricing
from $1.00 / 1,000 results
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Developer
Biddut Hossain
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3 days ago
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RAG Web Browser is a lightweight Python Actor that fetches any URL or search query, strips ads and clutter, and extracts clean, readable text from web pages. It returns structured, LLM-ready content optimized for retrieval-augmented pipelines and AI chat apps needing accurate real-time context.
✨ Features
- Accepts a direct URL or a plain text search query
- Strips scripts, nav bars, footers, ads, and other noise
- Returns clean, structured JSON output (title + text + char count)
- Configurable character limit and CSS selectors to remove
- Built on
httpx+BeautifulSoupfor fast, reliable scraping
📥 Input
| Field | Type | Description | Default |
|---|---|---|---|
query | string | A URL or search query | (required) |
maxChars | integer | Max characters of text to return | 5000 |
removeSelectors | array | CSS selectors to strip before extraction | ["script","style","nav","footer","header","aside","iframe","noscript"] |
Example input
{"query": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation","maxChars": 3000}
📤 Output
Each run pushes one item to the dataset:
{"query": "https://example.com","url": "https://example.com","title": "Example Domain","text": "This domain is for use in illustrative examples...","charCount": 214}
🚀 Usage
- Set your
queryinput (URL or search term). - Run the Actor.
- Retrieve extracted text from the Dataset tab, or via the Apify API.
🧠 Use Cases
- Feeding live web content into LLM prompts (RAG pipelines)
- Building AI chatbots with up-to-date web knowledge
- Content extraction and summarization pipelines
- Lightweight alternative to full-page scrapers when only text is needed