scrapi-mcp

0
0 Reviews
3 Stars
The scrapi-mcp is a dedicated MCP server designed for integrating ScrAPI to scrape web pages efficiently, including content in HTML and Markdown formats. It handles complex website structures and access restrictions such as bot detection and geolocation. It supports API key setup, cloud deployment, and offers easy integration with tools like Docker and npm. This server simplifies web data extraction for developers needing reliable scraping solutions.
Added on:
Created by:
scrapi-mcp

scrapi-mcp

0 Reviews
3
0
scrapi-mcp
The scrapi-mcp is a dedicated MCP server designed for integrating ScrAPI to scrape web pages efficiently, including content in HTML and Markdown formats. It handles complex website structures and access restrictions such as bot detection and geolocation. It supports API key setup, cloud deployment, and offers easy integration with tools like Docker and npm. This server simplifies web data extraction for developers needing reliable scraping solutions.
Added on:
Created by:
Apr 13 2025
DevEnterprise Software
Featured

What is scrapi-mcp?

Scrapi-mcp is a comprehensive MCP server that enables web scraping via ScrAPI, offering powerful tools to extract data from websites. It supports scraping website content into HTML for detailed parsing or Markdown for simplified text data. The server handles challenges like bot detection, CAPTCHAs, and geolocation restrictions, making data extraction more straightforward. It is deployable on cloud or local environments, with easy setup via Docker, npm, or direct API use. The server also offers features like API key management, activity tracking, and extended customization, making it suitable for developers, data analysts, and web scraping professionals seeking a flexible and reliable scraping infrastructure.

Who will use scrapi-mcp?

  • Web scraping developers
  • Data analysts
  • Research professionals
  • Businesses needing web data extraction
  • Developers integrating web scraping into applications

How to use the scrapi-mcp?

  • Step 1: Set up the MCP server via Docker, npm, or cloud deployment.
  • Step 2: Configure API keys if needed for higher rate limits.
  • Step 3: Use the provided API endpoints or tools to specify the URL to scrape.
  • Step 4: Choose the desired format (HTML or Markdown) for the extracted content.
  • Step 5: Submit the scrape request and retrieve the content for processing.

scrapi-mcp's Core Features & Benefits

The Core Features
  • HTML content scraping
  • Markdown content scraping
  • API key management
  • Docker and cloud deployment support
  • Content extraction with anti-bot and geolocation handling
The Benefits
  • Reliable access to website content
  • Supports complex website structures
  • Flexible deployment options
  • Easy integration with existing workflows
  • Enhanced security and access control

scrapi-mcp's Main Use Cases & Applications

  • Web data mining for research projects
  • Automated content extraction for market analysis
  • Monitoring website updates
  • Aggregating web data into structured formats
  • Integrating web content into business dashboards

FAQs of scrapi-mcp

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.