by kennethleungty · Agent Tool · ★ 27
How to Scrape Wikipedia with LLM Agents Combining LangChain's agents and tools with OpenAI's LLMs and function calling for the web scraping of Wikipedia Link to step-by-step guide: https://medium.com/datadriveninvestor/how-to-web-scrape-wikipedia-using-llm-agents-f0dba8400692 Context The task of web scraping Wikipedia is a highly useful technique for extracting valuable information, thanks to its vast collection of structured and unstructured data. Traditional tools like Selenium, while effective, tend to be manual and time-consuming.
| Stars | 27 |
| Forks | 4 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 56.4852760081125/100 |
| Open Issues | 2 |
| Last Updated | 2024-01-03 |
| Created | 2023-12-23 |
| Platforms | browser |
| Est. Tokens | ~5k |
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Wikipedia-Scraping-with-LLM-Agents is Scraping Wikipedia by combining LangChain's agents and tools with OpenAI's LLMs and function calling. It is categorized as a Agent Tool with 27 GitHub stars.
Wikipedia-Scraping-with-LLM-Agents is primarily written in Jupyter Notebook. It covers topics such as artificial-intelligence, data-analytics, data-mining.
You can find installation instructions and usage details in the Wikipedia-Scraping-with-LLM-Agents GitHub repository at github.com/kennethleungty/Wikipedia-Scraping-with-LLM-Agents. The project has 27 stars and 4 forks, indicating an active community.
Wikipedia-Scraping-with-LLM-Agents is released under the MIT license, making it free to use and modify according to the license terms.