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https://github.com/ScrapeGraphAI/Scrapegraph-demo
Streamlit demo of Scrapegraph-ai for GPT4-hackaton
https://github.com/ScrapeGraphAI/Scrapegraph-demo
llm openai-hackathon rag streamlit
Last synced: about 1 month ago
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Streamlit demo of Scrapegraph-ai for GPT4-hackaton
- Host: GitHub
- URL: https://github.com/ScrapeGraphAI/Scrapegraph-demo
- Owner: ScrapeGraphAI
- License: mit
- Created: 2024-02-20T08:42:05.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-17T21:13:21.000Z (about 1 month ago)
- Last Synced: 2024-12-18T19:19:12.069Z (about 1 month ago)
- Topics: llm, openai-hackathon, rag, streamlit
- Language: Python
- Homepage: https://scrapegraph-ai-demo.streamlit.app/
- Size: 1.93 MB
- Stars: 89
- Watchers: 4
- Forks: 127
- Open Issues: 1
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE
Awesome Lists containing this project
- awesome - ScrapeGraphAI/Scrapegraph-demo - Streamlit demo of Scrapegraph-ai for GPT4-hackaton (Python)
README
# 🕷️ 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!
## 🔗 ScrapeGraph API & SDKs
If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful API [here!](https://dashboard.scrapegraphai.com/login)
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](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-py) |
| Node.js SDK | Node.js | [scrapegraph-js](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-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:
[](https://github.com/VinciGit00/Scrapegraph-ai)
Official streamlit demo:
[](https://scrapegraph-demo-demo.streamlit.app)
## Example of output with TruLens
## Local execution
Is it possible to run in local this project using python with the command on your terminal with:
```bash
streamlit run main.py
```
## 🤝 Contributing
Scrapegraph-ai is [MIT LICENSED](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/LICENSE).
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](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/CONTRIBUTING.md).
Join our Discord server to discuss with us improvements and give us suggestions!
[](https://discord.gg/gkxQDAjfeX)
You can also follow all the updates on linkedin!
[](https://www.linkedin.com/company/scrapegraphai/)
## Contributors
[](https://github.com/VinciGit00/Scrapegraph-ai/graphs/contributors)
## Authors
| | Contact Info |
|--------------------|----------------------|
| Marco Vinciguerra | [](https://www.linkedin.com/in/marco-vinciguerra-7ba365242/) |
| Marco Perini | [](https://www.linkedin.com/in/perinim/) |
| Lorenzo Padoan | [](https://www.linkedin.com/in/lorenzo-padoan-4521a2154/) |
## 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.