Web Scraping Api Mcp
What is Web Scraping Api Mcp
web-scraping-api-mcp is a powerful API designed for integrating web scraping capabilities into AI workflows, allowing users to automate data extraction from websites without manual coding.
Use cases
Use cases include extracting property listings for real estate agents, gathering product prices for e-commerce analysis, and collecting data for market research without the need for extensive coding.
How to use
To use web-scraping-api-mcp, add the provided configuration to your MCP setup, replacing <YOUR_API_TOKEN> with your actual API token from Apify. Once connected, your AI agent can invoke various scraping endpoints to perform tasks autonomously.
Key features
Key features include seamless integration with AI agents, the ability to scrape data without HTML selectors, automatic pagination, and the capability to handle complex web data tasks with minimal setup.
Where to use
web-scraping-api-mcp can be used in various fields such as real estate, e-commerce, market research, and any domain requiring automated data extraction from websites.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Web Scraping Api Mcp
web-scraping-api-mcp is a powerful API designed for integrating web scraping capabilities into AI workflows, allowing users to automate data extraction from websites without manual coding.
Use cases
Use cases include extracting property listings for real estate agents, gathering product prices for e-commerce analysis, and collecting data for market research without the need for extensive coding.
How to use
To use web-scraping-api-mcp, add the provided configuration to your MCP setup, replacing <YOUR_API_TOKEN> with your actual API token from Apify. Once connected, your AI agent can invoke various scraping endpoints to perform tasks autonomously.
Key features
Key features include seamless integration with AI agents, the ability to scrape data without HTML selectors, automatic pagination, and the capability to handle complex web data tasks with minimal setup.
Where to use
web-scraping-api-mcp can be used in various fields such as real estate, e-commerce, market research, and any domain requiring automated data extraction from websites.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🚀 We’ve just launched our new MCP server!
If you’re building or using AI agents, you can now plug our web scraping API directly into your autonomous workflows. Just add the following to your MCP config:
{ "mcpServers": { "web-scraping-api-by-instantapi-ai": { "command": "npx", "args": [ "-y", "mcp-remote", "https://web-scraping-api-by-instantapi-ai.help-052.workers.dev/sse", "--header", "Authorization:${AUTH_HEADER}" ], "env": { "AUTH_HEADER": "Bearer <YOUR_API_KEY>" } } } }
🔐 Just replace <YOUR_API_KEY> with your API key from InstantAPI.ai. Sign up for your own API key here: https://web.instantapi.ai/#pricing-03-254921
Once connected, your AI agent can automatically invoke any of our scraping endpoints—/scrape, /links, /next, /search—to complete complex web data tasks, without needing any HTML selectors or manual logic.
🧠 Example real-world task from a user:
Go to https://www.domain.com.au/sale/bowral-nsw-2576/?bedrooms=1-any&bathrooms=1-any&excludeunderoffer=1&establishedtype=established&sort=dateupdated-desc Extract each property link. For each, get the full physical address and how many days since it was listed. If not known, assume 0 (today). Keep paginating until no properties are listed in the last 7 days. Return all matching addresses.
✅ The agent completed the task autonomously—scraping new leads for a mortgage broker with zero code written.
If you’re building AI workflows, this massively cuts down on glue code and edge case handling. Just give your agent a goal and let it fetch the data.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
