ScrapeGraphAI is a web scraping python library based on LangChain which uses LLM and direct graph logic to create scraping pipelines. Just say which information you want to extract and the library will do it for you!
If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful API here!
We offer SDKs in both Python and Node.js, making it easy to integrate into your projects. Check them out below:
| SDK | Language | GitHub Link |
|---|---|---|
| Python SDK | Python | scrapegraph-py |
| Node.js SDK | Node.js | scrapegraph-js |
This repo is a streamlit demo/trial for the offcial Github Library Scrapegraph-ai.
Link of the developed library for the hackathon Github repo:
Official streamlit demo:
Is it possible to run in local this project using python with the command on your terminal with:
streamlit run main.pyScrapegraph-ai is MIT LICENSED.
Contributions are welcome! Please check out the todos below, and feel free to open a pull request.
For more information, please see the contributing guidelines.
Join our Discord server to discuss with us improvements and give us suggestions!
You can also follow all the updates on linkedin!
| Contact Info | |
|---|---|
| Marco Vinciguerra |  |
| Marco Perini | |
| Lorenzo Padoan | |
- We would like to thank all the contributors to the project and the open-source community for their support.
- ScrapeGraphAI is meant to be used for data exploration and research purposes only. We are not responsible for any misuse of the library.