Redfin MCP Server

Recherche de propriétés, historique des prix, ventes comparables et analyse de quartier

Voir sur apify.com

Documentation

Redfin MCP — Property Search & Details for AI Agents (nexgendata/redfin-mcp-server) Actor

MCP server exposing Redfin property search and full listing detail as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK to live Redfin data.

Pricing

from $20.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

  • AI agents and MCP clients — the Apify MCP server at https://mcp.apify.com (remote, streamable HTTP, OAuth on first use).
  • Agentic workflows and local Actor development — Agent Skills with the Apify CLI: npm install -g apify-cli, then apify login.
  • JavaScript/TypeScript projects — the official JS/TS client: npm install apify-client.
  • Python projects — the official Python client: pip install apify-client.
  • Any other language — the REST API.

For usage examples, see the API section below.

For more details, see Apify documentation as Markdown index and Markdown full-text.

README

Redfin MCP

A Model Context Protocol server that gives AI agents Redfin property data — listing search and full detail — as callable tools. For real-estate research and valuation agents.

🛠 Tools (2)

  • get_property_details — Full detail for a specific property.
  • search_properties — Search Redfin property listings by location and filters.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "redfin": {
      "url": "https://nexgendata--redfin-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Search Redfin for condos in Seattle under $500k and get details on three of them.

Pricing: $0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

Related NexGenData MCP Servers & Real Estate Actors

Use caseActor
Redfin real estate scraper (no MCP)redfin-real-estate-scraper
General real estate MCP (multi-source)real-estate-mcp-server
Google Maps MCPgoogle-maps-mcp-server
Rightmove UK real estaterightmove-uk-real-estate-scraper
Singapore HDB resale pricessg-hdb-resale-prices

About NexGenData

NexGenData publishes a large catalog of buyer-intent actors plus a family of MCP servers for AI agent workflows. All pay-per-event. Browse the full catalog at https://apify.com/nexgendata

🏠 Home: thenextgennexus.com 📦 Full catalog: apify.com/nexgendata

Actor input Schema

Actor input object example

{}

API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

JavaScript example

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/redfin-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Python example

from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/redfin-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CLI example

echo '{}' |
apify call nexgendata/redfin-mcp-server --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/redfin-mcp-server",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/rRDQsFu4MMLT0HMZR/builds/vJOKxv3a1YaGv0Flj/openapi.json