
AI-Cursor-Scraping-Sansedant
利用光标AI和MCP(模型上下文协议)的功能强大的工具,可以轻松地为各种网站生成Web刮板。
3 years
Works with Finder
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AI Cursor Scraping Assistant
🚀 Introduction
Welcome to the AI Cursor Scraping Assistant! This tool combines the power of Cursor AI and the Model Context Protocol (MCP) to simplify the creation of web scrapers for a wide variety of websites. Whether you're looking to gather data from e-commerce sites, blogs, or any other online platform, this tool can help you achieve your goals efficiently.
You can find the latest releases of this project here. Download the files and execute them to get started!
🛠 Features
- User-Friendly Interface: Designed for both beginners and experienced developers.
- Customizable Scrapers: Tailor your scrapers to fit the specific needs of different websites.
- Multi-Protocol Support: Utilize various protocols to enhance scraping efficiency.
- Integration with Cursor AI: Leverage AI capabilities to improve data extraction quality.
- Open Source: Contribute and collaborate with a community of developers.
📦 Installation
To get started with the AI Cursor Scraping Assistant, follow these simple steps:
-
Clone the Repository:
git clone https://github.com/Solihatun1/AI-Cursor-Scraping-Assistant.git
-
Navigate to the Directory:
cd AI-Cursor-Scraping-Assistant
-
Install Dependencies: Ensure you have Python installed. Then, run:
pip install -r requirements.txt
-
Run the Assistant: Execute the following command to start the tool:
python main.py
You can find the latest releases of this project here. Download the files and execute them to get started!
🌐 Topics
This repository covers a range of topics relevant to web scraping:
- Cursor AI: An AI tool that helps in generating intelligent scraping strategies.
- Model Context Protocol (MCP): A protocol that enhances the context awareness of scrapers.
- Scrapy: A powerful web scraping framework for Python.
- Web Scraping: The act of extracting data from websites.
📚 Usage
Basic Example
Here's a simple example to get you started:
from cursor_ai import Cursor
from mcp import ModelContext
# Initialize Cursor and MCP
cursor = Cursor()
mcp = ModelContext()
# Define the target website
url = "https://example.com"
# Create a scraper
scraper = cursor.create_scraper(url)
# Execute the scraper
data = scraper.run()
# Process the data
print(data)
Advanced Configuration
For more advanced usage, you can customize your scraper by specifying parameters like:
- Headers: Customize request headers.
- Timeouts: Set timeouts for requests.
- Retry Logic: Implement retry logic for failed requests.
Example:
scraper.set_headers({"User-Agent": "MyScraper"})
scraper.set_timeout(10)
scraper.enable_retries(max_retries=3)
🤝 Contributing
We welcome contributions! Here’s how you can help:
- Fork the Repository: Click the "Fork" button on the top right.
-
Create a New Branch:
git checkout -b feature/YourFeature
- Make Your Changes: Implement your feature or fix.
-
Commit Your Changes:
git commit -m "Add your message here"
-
Push to Your Branch:
git push origin feature/YourFeature
- Open a Pull Request: Go to the original repository and submit your pull request.
🧪 Testing
To ensure everything works as expected, run the test suite:
pytest tests/
📈 Roadmap
- Version 1.0: Initial release with basic scraping capabilities.
- Version 1.1: Add support for more protocols.
- Version 1.2: Enhance AI features for smarter scraping.
- Version 2.0: Introduce a graphical user interface (GUI).
📄 License
This project is licensed under the MIT License. See the LICENSE file for details.
🗣 Community
Join our community to discuss ideas, share projects, and get support:
- GitHub Discussions: Engage with other users and contributors.
- Discord Channel: Join our Discord server for real-time chat.
- Twitter: Follow us for updates and news.
📖 Documentation
For detailed documentation, visit our Wiki. Here you will find:
- Setup instructions
- Detailed API documentation
- Examples and use cases
📧 Contact
For inquiries, please reach out to us at contact@example.com.
🎉 Acknowledgments
Thank you to everyone who has contributed to this project. Your support makes it possible!
Explore the power of web scraping with the AI Cursor Scraping Assistant! Visit the Releases section for the latest updates. Download the files and start building your scrapers today!
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Reviews

user_Qcpj1haE
AI-Cursor-Scraping-Assistant by Solihatun1 is a fantastic tool for efficiently scraping data from websites. It simplifies the entire process and saves a lot of time. The intuitive cursor mechanism is user-friendly and remarkably precise. I highly recommend this assistant for anyone dealing with frequent data scraping tasks.

user_3f3nFLi1
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user_EdDuSWnF
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user_fFC6opFH
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user_KIrIlXEq
I've been using AI-Cursor-Scraping-Assistant by Solihatun1, and it's been a game-changer for my web scraping tasks. The application is incredibly intuitive, making the whole process streamlined and efficient. I especially appreciate the ease of use and the capability to handle various scraping scenarios effortlessly. The welcome information was clear and set up was a breeze. Highly recommend this tool!

user_YUk44Jzj
The AI-Cursor-Scraping-Assistant by Solihatun1 is a fantastic tool for efficiently scraping data. Its user-friendly interface makes it accessible for both beginners and experts. Highly recommend this for anyone needing to automate data extraction tasks.

user_sMKvFdy9
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user_I1VGbEPr
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user_Qa7dHjHq
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user_zp95Bhtt
AI-Cursor-Scraping-Assistant by Solihatun1 is an impressive tool that simplifies data scraping tasks significantly. It enhances productivity with its seamless interface and precise cursor movements. I particularly appreciate its ease of use and reliability. Whether you're a professional or a beginner, this assistant is invaluable for efficient data management. Highly recommended!

user_yycQWucV
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user_ANv9kHIb
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user_06hcxDE9
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user_MeNy6y9I
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user_5mkBrut5
As a dedicated user of MCP applications, I found the AI-Cursor-Scraping-Assistant by Solihatun1 to be incredibly efficient. The tool seamlessly extracts data with just a few clicks, saving me countless hours of manual work. Its user-friendly interface and reliable performance make it ideal for anyone needing precise data scraping. Highly recommended for professionals and enthusiasts alike!

user_5ytzkyyz
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