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simplescraper

Simplescraper

    Server Summary

    • Extract web data

    • Manage scraping recipes

    • Monitor scraping jobs

    • Automate data collection

Simplescraper MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to interact with Simplescraper's web scraping capabilities directly. This integration allows you to extract structured data from websites, manage scraping recipes, and retrieve scraped content without leaving your AI workflow.

Overview

The Simplescraper MCP server bridges the gap between AI-powered conversations and web data extraction. By connecting your AI assistant to Simplescraper's robust scraping infrastructure, you can programmatically access web content, automate data collection tasks, and incorporate real-time web data into your workflows seamlessly.

What It Does

This MCP server provides a direct interface to Simplescraper's platform, enabling your AI assistant to perform web scraping operations on your behalf. Whether you need to monitor competitor pricing, gather research data, or extract content from multiple pages, the server handles the communication between your AI and Simplescraper's scraping engine.

Key Features

Data Extraction

  • Extract structured data from any website using Simplescraper's scraping recipes
  • Retrieve content in clean, organized formats ready for analysis
  • Access both single-page and multi-page scraping results

Recipe Management

  • List and view your existing scraping recipes
  • Execute scraping jobs using pre-configured recipes
  • Access recipe metadata and configuration details

Job Monitoring

  • Check the status of active scraping jobs
  • Retrieve completed scraping results
  • Monitor scraping progress for long-running tasks

Use Cases

Research and Analysis: Quickly gather data from multiple sources for market research, competitive analysis, or academic projects without manual copying and pasting.

Content Monitoring: Set up automated checks for website changes, new content publications, or price updates through conversational commands.

Data Collection: Build datasets by scraping information from multiple pages or sites, then immediately analyze the results within your AI conversation.

Workflow Automation: Chain scraping operations with other tasks, allowing your AI assistant to fetch web data and use it for subsequent operations like summarization or comparison.

Why Use This Server

Traditional web scraping requires switching between tools, writing scripts, or manually copying data. With the Simplescraper MCP server, you can simply ask your AI assistant to scrape a website, and it handles the complexity behind the scenes. The integration feels natural and conversational, making web data extraction accessible even for non-technical users while providing powerful capabilities for advanced users.