AI-Cursor-Scraping-Assistant

A powerful tool that leverages Cursor AI and MCP (Model Context Protocol) to easily generate web scrapers for various types of websites. This project helps you quickly analyze websites and generate proper Scrapy or Camoufox scrapers with minimal effort.

Project Overview

This project contains two main components:

1. Cursor Rules - A set of rules that teach Cursor AI how to analyze websites and create different types of Scrapy spiders
2. MCP Tools - A collection of Model Context Protocol tools that enhance Cursor's capabilities for web scraping tasks

Prerequisites

• Cursor AI installed
• Python 3.10+ installed
• Basic knowledge of web scraping concepts

Installation

Clone this repository to your local machine:

git clone https://github.com/TheWebScrapingClub/AI-Cursor-Scraping-Assistant.git
cd AI-Cursor-Scraping-Assistant

Install the required dependencies:

pip install mcp camoufox scrapy

If you plan to use Camoufox, you'll need to fetch its browser binary:

python -m camoufox fetch

Setup

Setting Up MCP Server

The MCP server provides tools that help Cursor AI analyze web pages and generate XPath selectors. To start the MCP server:

1. Navigate to the MCPfiles directory:

   cd MCPfiles
   

2. Update the CAMOUFOX_FILE_PATH in xpath_server.py to point to your local Camoufox_template.py file.

3. Start the MCP server:

   python xpath_server.py
   

4. In Cursor, connect to the MCP server by configuring it in the settings or using the MCP panel.

Cursor Rules

The cursor-rules directory contains rules that teach Cursor AI how to analyze websites and create different types of scrapers. These rules are automatically loaded when you open the project in Cursor.

Detailed Cursor Rules Explanation

The cursor-rules directory contains a set of MDC (Markdown Configuration) files that guide Cursor's behavior when creating web scrapers:

prerequisites.mdc

This rule handles initial setup tasks before creating any scrapers:

• Gets the full path of the current project using pwd
• Stores the path in context for later use by other rules
• Confirms the execution of preliminary actions before proceeding

website-analysis.mdc

This comprehensive rule guides Cursor through website analysis:

• Identifies the type of Scrapy spider to build (PLP, PDP, etc.)
• Fetches and stores homepage HTML and cookies
• Strips CSS using the MCP tool to simplify HTML analysis
• Checks cookies for anti-bot protection (Akamai, Datadome, PerimeterX, etc.)
• For PLP scrapers: fetches category pages, analyzes structure, looks for JSON data
• For PDP scrapers: fetches product pages, analyzes structure, looks for JSON data
• Detects schema.org markup and modern frameworks like Next.js

scrapy-step-by-step-process.mdc

This rule provides the execution flow for creating scrapers:

• Outlines the sequence of steps to follow
• References other rule files in the correct order
• Ensures prerequisite actions are completed before scraper creation
• Guides Cursor to analyze the website before generating code

scrapy.mdc

This extensive rule contains Scrapy best practices:

• Defines recommended code organization and directory structure
• Details file naming conventions and module organization
• Provides component architecture guidelines
• Offers strategies for code splitting and reuse
• Includes performance optimization recommendations
• Covers security practices, error handling, and logging
• Provides specific syntax examples and code snippets

scraper-models.mdc

This rule defines the different types of scrapers that can be created:

• E-commerce PLP: Details the data structure, field definitions, and implementation steps
• E-commerce PDP: Details the data structure, field definitions, and implementation steps
• Field mapping guidelines for all scraper types
• Step-by-step instructions

... View full README on GitHub