Code & Development · GitHub ·6 ★

Automatic-web-scraper-with-LLM-parsing

This project is an automatic web scraper that uses the LLM Ollama gpt-oss:20b to parse the body content of a web page. The application is built using Streamlit for the user interface and various Python libraries for web scraping and parsing.

Details

Author
RockENZO
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
6
First indexed
2026-05-15
Last active
2025-08-08
Directory sync
2026-05-15

Overview

This project is an automatic web scraper that uses the LLM Ollama gpt-oss:20b to parse the body content of a web page. The application is built using Streamlit for the user interface and various Python libraries for web scraping and parsing.

Quick start

git

git clone https://github.com/RockENZO/Automatic-web-scraper-with-LLM-parsing

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Automatic-web-scraper-with-LLM-parsing can do

  • Hr — Handles people operations such as hiring and policy Q&A.
  • Api — api task automation.
  • Content — content task automation.
  • Scrap — scrap task automation.
  • Scraper — scraper task automation.

Frequently asked questions

What is Automatic-web-scraper-with-LLM-parsing?
This project is an automatic web scraper that uses the LLM Ollama gpt-oss:20b to parse the body content of a web page. The application is built using Streamlit for the user interface and various Python libraries for web scraping and parsing.
How do I install Automatic-web-scraper-with-LLM-parsing?
Use git: `git clone https://github.com/RockENZO/Automatic-web-scraper-with-LLM-parsing`. Full setup details on the source page linked above.
Is Automatic-web-scraper-with-LLM-parsing open source?
Automatic-web-scraper-with-LLM-parsing is published on GitHub.
What are alternatives to Automatic-web-scraper-with-LLM-parsing?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Automatic-web-scraper-with-LLM-parsing is sourced from GitHub, published by RockENZO.

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