/Scrapegraph-LabLabAI-Hackathon

Code for the streamlit demo of Scrapegraph-ai for GPT4-hackaton

Primary LanguagePython

🕷️ ScrapeGraphAI: You Only Scrape Once

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!

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Official Demo for Scrapegraph-ai Library

This repo is a streamlit demo/trial for the offcial Github Library Scrapegrap-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 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!

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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 Vinciguerra Linkedin Badge
Marco Perini Linkedin Badge
Lorenzo Padoan Linkedin Badge

📜 License

ScrapeGraphAI is licensed under the Apache 2.0 License. See the LICENSE file for more information.

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.