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Streamlit demo of Scrapegraph-ai for GPT4-hackaton

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ScrapeGraphAI/Scrapegraph-demo

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ScrapeGraphAI is aweb 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!

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🔗 ScrapeGraph API & SDKs

If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful APIhere!

ScrapeGraph API Banner

We offer SDKs in both Python and Node.js, making it easy to integrate into your projects. Check them out below:

SDKLanguageGitHub Link
Python SDKPythonscrapegraph-py
Node.js SDKNode.jsscrapegraph-js

Official Demo for Scrapegraph-ai Library

This repo is a streamlit demo/trial for the offcial Github Library Scrapegraph-ai.

Link of the developed library for the hackathon Github repo:

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Official streamlit demo:

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Example of output with TruLens

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Local execution

Is it possible to run in local this project using python with the command on your terminal with:

streamlit run main.py

🤝 Contributing

Scrapegraph-ai isMIT LICENSED.

Contributions are welcome! Please check out the todos below, and feel free to open a pull request.

For more information, please see thecontributing guidelines.

Join our Discord server to discuss with us improvements and give us suggestions!

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You can also follow all the updates on linkedin!

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Contributors

Contributors

Authors

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Contact Info
Marco VinciguerraLinkedin Badge
Marco PeriniLinkedin Badge
Lorenzo PadoanLinkedin Badge

Acknowledgements

  • 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.

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