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+## 🚀 **Looking for an even faster and simpler way to scrape at scale (only 5 lines of code)?** Check out our enhanced version at [**ScrapeGraphAI.com**](https://scrapegraphai.com/?utm_source=github&utm_medium=readme&utm_campaign=oss_cta&ut#m_content=top_banner)! 🚀
+
+---
+
+# 🕷️ ScrapeGraphAI: You Only Scrape Once
+
+
+
+ 
+
+
+
+[English](README.md) | [中文](docs/chinese.md) | [日本語](docs/japanese.md)
+| [한국어](docs/korean.md)
+| [Русский](docs/russian.md) | [Türkçe](docs/turkish.md)
+| [Deutsch](docs/german.md)
+| [Español](docs/spanish.md)
+| [français](docs/french.md)
+| [Português](docs/portuguese.md)
+| [Italiano](docs/italian.md)
+
+[](https://pepy.tech/projects/scrapegraphai)
+
+[](https://opensource.org/licenses/MIT)
+[](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!
+
+## 🚀 Integrations
+ScrapeGraphAI offers seamless integration with popular frameworks and tools to enhance your scraping capabilities. Whether you're building with Python or Node.js, using LLM frameworks, or working with no-code platforms, we've got you covered with our comprehensive integration options..
+
+
+
+ 
+
+
+
+You can find more informations at the following [link](https://scrapegraphai.com)
+
+**Integrations**:
+- **API**: [Documentation](https://docs.scrapegraphai.com/introduction)
+- **SDKs**: [Python](https://docs.scrapegraphai.com/sdks/python), [Node](https://docs.scrapegraphai.com/sdks/javascript)
+- **LLM Frameworks**: [Langchain](https://docs.scrapegraphai.com/integrations/langchain), [Llama Index](https://docs.scrapegraphai.com/integrations/llamaindex), [Crew.ai](https://docs.scrapegraphai.com/integrations/crewai), [Agno](https://docs.scrapegraphai.com/integrations/agno), [CamelAI](https://github.com/camel-ai/camel)
+- **Low-code Frameworks**: [Pipedream](https://pipedream.com/apps/scrapegraphai), [Bubble](https://bubble.io/plugin/scrapegraphai-1745408893195x213542371433906180), [Zapier](https://zapier.com/apps/scrapegraphai/integrations), [n8n](http://localhost:5001/dashboard), [Dify](https://dify.ai), [Toolhouse](https://app.toolhouse.ai/mcp-servers/scrapegraph_smartscraper)
+- **MCP server**: [Link](https://smithery.ai/server/@ScrapeGraphAI/scrapegraph-mcp)
+
+
+## 🚀 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,
+ "format": "json",
+ },
+ "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": "",
+ "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**, **Gemini**, **MiniMax** and more, 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
+
+[](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)
+
+The documentation for ScrapeGraphAI can be found [here](https://docs.scrapegraphai.com/introduction).
+## 🆚 Open Source vs Managed API
+
+ScrapeGraphAI comes in two flavours: **this open-source library**, which you run yourself, and the **managed cloud API** (used via the [Python](https://github.com/ScrapeGraphAI/scrapegraph-py) and [JS/TS](https://github.com/ScrapeGraphAI/scrapegraph-js) SDKs). This table explains the difference so you can pick the right one.
+
+| | Open Source (`scrapegraphai`) | Managed API (`scrapegraph-py` / `scrapegraph-js`) |
+|---|---|---|
+| **What it is** | A Python library you run yourself | A hosted cloud service you call via SDK |
+| **Where it runs** | Your own infrastructure (self-hosted) | ScrapeGraphAI cloud |
+| **LLM** | Bring your own (OpenAI, Groq, Gemini, Azure, local via Ollama) | Managed for you |
+| **Browser / JS rendering** | You configure it (Playwright) | Managed (stealth, `auto`/`fast`/`js` modes) |
+| **Proxies & anti-bot** | Your responsibility | Included |
+| **Scaling & maintenance** | Your responsibility | Fully managed |
+| **Cost model** | LLM tokens + your own infra | Pay-as-you-go credits |
+| **Auth** | Your own LLM keys | `SGAI_API_KEY` |
+| **Capabilities** | Graph pipelines (SmartScraper, Search, Speech, ScriptCreator…) | Scrape, Extract, Search, Crawl, Monitor, History |
+| **Setup effort** | More configuration | Minimal — API key + one call |
+| **License** | MIT | SDK is MIT; the API service is paid |
+
+**Choose the open-source library** if you want full control, on-prem/self-hosted data, local LLMs (Ollama), or fine-grained cost tuning — and you're happy to manage browsers, proxies and scaling yourself.
+
+**Choose the managed API** if you want zero infrastructure, managed JS rendering & anti-bot, built-in **Crawl** and scheduled **Monitor** jobs, and the fastest path to production — billed per credit.
+
+- Open-source library: https://github.com/ScrapeGraphAI/Scrapegraph-ai
+- Python SDK: https://github.com/ScrapeGraphAI/scrapegraph-py
+- JS/TS SDK: https://github.com/ScrapeGraphAI/scrapegraph-js
+- API docs: https://docs.scrapegraphai.com/introduction
+
+## 🤝 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/ScrapeGraphAI/Scrapegraph-ai/blob/main/CONTRIBUTING.md).
+
+[](https://discord.gg/uJN7TYcpNa)
+[](https://www.linkedin.com/company/scrapegraphai/)
+[](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://scrapegraphai.com)
+
+[](https://scrapegraphai.com)
+
+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://docs.scrapegraphai.com/sdks/python) |
+| Node.js SDK | Node.js | [scrapegraph-js](https://docs.scrapegraphai.com/sdks/javascript) |
+
+The Official API Documentation can be found [here](https://docs.scrapegraphai.com/introduction).
+
+## 📈 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://docs.scrapegraphai.com/introduction).
+
+## ❤️ Contributors
+[](https://github.com/ScrapeGraphAI/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 = {Lorenzo Padoan, Marco Vinciguerra},
+ title = {Scrapegraph-ai},
+ year = {2024},
+ url = {https://github.com/ScrapeGraphAI/Scrapegraph-ai},
+ note = {A Python library for scraping leveraging large language models}
+ }
+```
+## Authors
+
+| | Contact Info |
+|--------------------|----------------------|
+| Marco Vinciguerra | [](https://www.linkedin.com/in/marco-vinciguerra-7ba365242/) |
+| Lorenzo Padoan | [](https://www.linkedin.com/in/lorenzo-padoan-4521a2154/) |
+
+## 📜 License
+
+ScrapeGraphAI is licensed under the MIT License. See the [LICENSE](https://github.com/ScrapeGraphAI/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)
+
+[Scarf tracking](https://static.scarf.sh/a.png?x-pxid=102d4b8c-cd6a-4b9e-9a16-d6d141b9212d)