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Zillow Real Estate Intelligence Pro

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Zillow Real Estate Intelligence Pro

Zillow Real Estate Intelligence Pro

Developed by

AutomateLab

AutomateLab

Maintained by Community

Enterprise-Grade Real Estate Intelligence Framework - A sophisticated technical foundation for real estate data extraction, investment analysis, and market intelligence. Built with advanced anti-detection capabilities and comprehensive data processing pipeline.

0.0 (0)

Pricing

$10.00 / 1,000 results

0

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

5 days ago

You can access the Zillow Real Estate Intelligence Pro programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"red.cars/zillow-real-estate-intelligence-pro"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Zillow Real Estate Intelligence Pro

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=red.cars/zillow-real-estate-intelligence-pro",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.