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https://github.com/ScrapeGraphAI/Scrapegraph-ai

Python scraper based on AI
https://github.com/ScrapeGraphAI/Scrapegraph-ai

ai automated-scraper gpt-3 gpt-4 llama3 llm machine-learning sc scraping scraping-python scrapingweb webscraping

Last synced: 19 days ago
JSON representation

Python scraper based on AI

Host: GitHub
URL: https://github.com/ScrapeGraphAI/Scrapegraph-ai
Owner: ScrapeGraphAI
License: mit
Created: 2024-01-27T16:54:38.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2025-01-29T10:25:53.000Z (23 days ago)
Last Synced: 2025-01-30T07:13:55.092Z (22 days ago)
Topics: ai, automated-scraper, gpt-3, gpt-4, llama3, llm, machine-learning, sc, scraping, scraping-python, scrapingweb, webscraping
Language: Python
Homepage: https://scrapegraphai.com
Size: 15 MB
Stars: 17,491
Watchers: 111
Forks: 1,464
Open Issues: 30
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: citation.cff
- Security: SECURITY.md

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README

        
# 🕷️ ScrapeGraphAI: You Only Scrape Once

[English](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/README.md) | [中文](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/chinese.md) | [日本語](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/japanese.md)

| [한국어](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/korean.md)

| [Русский](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/russian.md) | [Türkçe](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/turkish.md)

[![Downloads](https://img.shields.io/pepy/dt/scrapegraphai?style=for-the-badge)](https://pepy.tech/project/scrapegraphai)

[![linting: pylint](https://img.shields.io/badge/linting-pylint-yellowgreen?style=for-the-badge)](https://github.com/pylint-dev/pylint)

[![Pylint](https://img.shields.io/github/actions/workflow/status/VinciGit00/Scrapegraph-ai/code-quality.yml?label=Pylint&logo=github&style=for-the-badge)](https://github.com/VinciGit00/Scrapegraph-ai/actions/workflows/code-quality.yml)

[![CodeQL](https://img.shields.io/github/actions/workflow/status/VinciGit00/Scrapegraph-ai/codeql.yml?label=CodeQL&logo=github&style=for-the-badge)](https://github.com/VinciGit00/Scrapegraph-ai/actions/workflows/codeql.yml)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)

[![](https://dcbadge.vercel.app/api/server/gkxQDAjfeX)](https://discord.gg/gkxQDAjfeX)







[ScrapeGraphAI](https://scrapegraphai.com) is a *web scraping* python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.).

Just say which information you want to extract and the library will do it for you!



  



## 🚀 Quick install

The reference page for Scrapegraph-ai is available on the official page of PyPI: [pypi](https://pypi.org/project/scrapegraphai/).

```bash

pip install scrapegraphai

# IMPORTANT (for fetching websites content)

playwright install

```

**Note**: it is recommended to install the library in a virtual environment to avoid conflicts with other libraries 🐱

## 💻 Usage

There are multiple standard scraping pipelines that can be used to extract information from a website (or local file).

The most common one is the `SmartScraperGraph`, which extracts information from a single page given a user prompt and a source URL.

```python

from scrapegraphai.graphs import SmartScraperGraph

# Define the configuration for the scraping pipeline

graph_config = {

    "llm": {

        "model": "ollama/llama3.2",

        "model_tokens": 8192

    },

    "verbose": True,

    "headless": False,

}

# Create the SmartScraperGraph instance

smart_scraper_graph = SmartScraperGraph(

    prompt="Extract useful information from the webpage, including a description of what the company does, founders and social media links",

    source="https://scrapegraphai.com/",

    config=graph_config

)

# Run the pipeline

result = smart_scraper_graph.run()

import json

print(json.dumps(result, indent=4))

```

> [!NOTE]

> For OpenAI and other models you just need to change the llm config!

> ```python

>graph_config = {

>    "llm": {

>        "api_key": "YOUR_OPENAI_API_KEY",

>        "model": "openai/gpt-4o-mini",

>    },

>    "verbose": True,

>    "headless": False,

>}

>```

The output will be a dictionary like the following:

```python

{

    "description": "ScrapeGraphAI transforms websites into clean, organized data for AI agents and data analytics. It offers an AI-powered API for effortless and cost-effective data extraction.",

    "founders": [

        {

            "name": "Marco Perini",

            "role": "Founder & Technical Lead",

            "linkedin": "https://www.linkedin.com/in/perinim/"

        },

        {

            "name": "Marco Vinciguerra",

            "role": "Founder & Software Engineer",

            "linkedin": "https://www.linkedin.com/in/marco-vinciguerra-7ba365242/"

        },

        {

            "name": "Lorenzo Padoan",

            "role": "Founder & Product Engineer",

            "linkedin": "https://www.linkedin.com/in/lorenzo-padoan-4521a2154/"

        }

    ],

    "social_media_links": {

        "linkedin": "https://www.linkedin.com/company/101881123",

        "twitter": "https://x.com/scrapegraphai",

        "github": "https://github.com/ScrapeGraphAI/Scrapegraph-ai"

    }

}

```

There are other pipelines that can be used to extract information from multiple pages, generate Python scripts, or even generate audio files.

| Pipeline Name           | Description                                                                                                      |

|-------------------------|------------------------------------------------------------------------------------------------------------------|

| SmartScraperGraph       | Single-page scraper that only needs a user prompt and an input source.                                           |

| SearchGraph             | Multi-page scraper that extracts information from the top n search results of a search engine.                  |

| SpeechGraph             | Single-page scraper that extracts information from a website and generates an audio file.                       |

| ScriptCreatorGraph      | Single-page scraper that extracts information from a website and generates a Python script.                     |

| SmartScraperMultiGraph  | Multi-page scraper that extracts information from multiple pages given a single prompt and a list of sources.    |

| ScriptCreatorMultiGraph | Multi-page scraper that generates a Python script for extracting information from multiple pages and sources.     |

For each of these graphs there is the multi version. It allows to make calls of the LLM in parallel.

It is possible to use different LLM through APIs, such as **OpenAI**, **Groq**, **Azure** and **Gemini**, or local models using **Ollama**.

Remember to have [Ollama](https://ollama.com/) installed and download the models using the **ollama pull** command, if you want to use local models.

## 📖 Documentation

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)

The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/).

Check out also the Docusaurus [here](https://docs-oss.scrapegraphai.com/).

## 🤝 Contributing

Feel free to contribute and join our Discord server to discuss with us improvements and give us suggestions!

Please see the [contributing guidelines](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/CONTRIBUTING.md).

[![My Skills](https://skillicons.dev/icons?i=discord)](https://discord.gg/uJN7TYcpNa)

[![My Skills](https://skillicons.dev/icons?i=linkedin)](https://www.linkedin.com/company/scrapegraphai/)

[![My Skills](https://skillicons.dev/icons?i=twitter)](https://twitter.com/scrapegraphai)

## 🔗 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) |

The Official API Documentation can be found [here](https://docs.scrapegraphai.com/).

## 🏆 Sponsors



  

    

  

  

    

  

  

    

  

    

    

  



## 📈 Telemetry

We collect anonymous usage metrics to enhance our package's quality and user experience. The data helps us prioritize improvements and ensure compatibility. If you wish to opt-out, set the environment variable SCRAPEGRAPHAI_TELEMETRY_ENABLED=false. For more information, please refer to the documentation [here](https://scrapegraph-ai.readthedocs.io/en/latest/scrapers/telemetry.html).

## ❤️ Contributors

[![Contributors](https://contrib.rocks/image?repo=VinciGit00/Scrapegraph-ai)](https://github.com/VinciGit00/Scrapegraph-ai/graphs/contributors)

## 🎓 Citations

If you have used our library for research purposes please quote us with the following reference:

```text

  @misc{scrapegraph-ai,

    author = {Marco Perini, Lorenzo Padoan, Marco Vinciguerra},

    title = {Scrapegraph-ai},

    year = {2024},

    url = {https://github.com/VinciGit00/Scrapegraph-ai},

    note = {A Python library for scraping leveraging large language models}

  }

```

## Authors



  



|                    | Contact Info         |

|--------------------|----------------------|

| Marco Vinciguerra  | [![Linkedin Badge](https://img.shields.io/badge/-Linkedin-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/in/marco-vinciguerra-7ba365242/)    |

| Marco Perini       | [![Linkedin Badge](https://img.shields.io/badge/-Linkedin-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/in/perinim/)   |

| Lorenzo Padoan     | [![Linkedin Badge](https://img.shields.io/badge/-Linkedin-blue?style=flat&logo=Linkedin&logoColor=white)](https://www.linkedin.com/in/lorenzo-padoan-4521a2154/)  |

## 📜 License

ScrapeGraphAI is licensed under the MIT License. See the [LICENSE](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/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.

Made with ❤️ by [ScrapeGraph AI](https://scrapegraphai.com)