by m92vyas · Agent Tool · ★ 280
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Webpage to LLM Ready Input Text Pre-processing webpage before giving it as input to the LLM improves extraction/scraping accuracy especially if you want to extract website and image links, tables required for most scraping operations like scraping an e-commerce website. Use this library to turn any webpage/url to LLM friendly text. Fully open source alternative to firecrawl and jina reader api. You can also refer to my other repo AI-webscraper for direct scraping tools that will do and with . It supports multiple LLMs, Web Search and Extracts Data as per your written instructions. Update for Old Users: We have switched from Selenium to Playwright for concurrent web scraping support. Kindly install the required playwright dependencies as given below. Install: Import: Get processed LLM input text: python url= <urltoscr
| Stars | 280 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 42.75/100 |
| Last Updated | 2026-02-14 |
| Created | 2024-07-27 |
| Platforms | browser, python |
| Est. Tokens | ~8k |
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llm-reader is Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.. It is categorized as a Agent Tool with 280 GitHub stars.
llm-reader is primarily written in Python. It covers topics such as ai-agent-tools, ai-agents, ai-web-scraper.
You can find installation instructions and usage details in the llm-reader GitHub repository at github.com/m92vyas/llm-reader. The project has 280 stars and 19 forks, indicating an active community.
llm-reader is released under the MIT license, making it free to use and modify according to the license terms.
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