Redfin MCP Server

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Property search, price history, comparable sales, and neighborhood analysis

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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.

URL: https://apify.com/nexgendata/redfin-mcp-server.md
Developed by: NexGenData (community)
Categories: AI, Travel, MCP servers
Stats: 18 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
User rating: No ratings yet

Pricing

from $10.00 / 1,000 results

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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.

In JavaScript/TypeScript projects, use official JavaScript/TypeScript client:

npm install apify-client

In Python projects, use official Python client library:

pip install apify-client

In shell scripts, use Apify CLI:

# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# 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:
```json
{
 "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 case Actor Redfin real estate scraper (no MCP) redfin-real-estate-scraper General real estate MCP (multi-source) real-estate-mcp-server Google Maps MCP google-maps-mcp-server Rightmove UK real estate rightmove-uk-real-estate-scraper Singapore HDB resale prices sg-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 ' ' with your token
const client = new ApifyClient({
 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 ' ' with your token.
client = ApifyClient(" ")

# 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

OpenAPI specification

{
 "openapi": "3.0.1",
 "info": {
 "title": "Redfin MCP — Property Search & Details for AI Agents",
 "description": "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.",
 "version": "0.0",
 "x-build-id": "vJOKxv3a1YaGv0Flj"
 },
 "servers": [
 {
 "url": "https://api.apify.com/v2"
 }
 ],
 "paths": {
 "/acts/nexgendata~redfin-mcp-server/run-sync-get-dataset-items": {
 "post": {
 "operationId": "run-sync-get-dataset-items-nexgendata-redfin-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK"
 }
 }
 }
 },
 "/acts/nexgendata~redfin-mcp-server/runs": {
 "post": {
 "operationId": "runs-sync-nexgendata-redfin-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor and returns information about the initiated run in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK",
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/runsResponseSchema"
 }
 }
 }
 }
 }
 }
 },
 "/acts/nexgendata~redfin-mcp-server/run-sync": {
 "post": {
 "operationId": "run-sync-nexgendata-redfin-mcp-server",
 "x-openai-isConsequential": false,
 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
 "tags": [
 "Run Actor"
 ],
 "requestBody": {
 "required": true,
 "content": {
 "application/json": {
 "schema": {
 "$ref": "#/components/schemas/inputSchema"
 }
 }
 }
 },
 "parameters": [
 {
 "name": "token",
 "in": "query",
 "required": true,
 "schema": {
 "type": "string"
 },
 "description": "Enter your Apify token here"
 }
 ],
 "responses": {
 "200": {
 "description": "OK"
 }
 }
 }
 }
 },
 "components": {
 "schemas": {
 "inputSchema": {
 "type": "object",
 "properties": {}
 },
 "runsResponseSchema": {
 "type": "object",
 "properties": {
 "data": {
 "type": "object",
 "properties": {
 "id": {
 "type": "string"
 },
 "actId": {
 "type": "string"
 },
 "userId": {
 "type": "string"
 },
 "startedAt": {
 "type": "string",
 "format": "date-time",
 "example": "2025-01-08T00:00:00.000Z"
 },
 "finishedAt": {
 "type": "string",
 "format": "date-time",
 "example": "2025-01-08T00:00:00.000Z"
 },
 "status": {
 "type": "string",
 "example": "READY"
 },
 "meta": {
 "type": "object",
 "properties": {
 "origin": {
 "type": "string",
 "example": "API"
 },
 "userAgent": {
 "type": "string"
 }
 }
 },
 "stats": {
 "type": "object",
 "properties": {
 "inputBodyLen": {
 "type": "integer",
 "example": 2000
 },
 "rebootCount": {
 "type": "integer",
 "example": 0
 },
 "restartCount": {
 "type": "integer",
 "example": 0
 },
 "resurrectCount": {
 "type": "integer",
 "example": 0
 },
 "computeUnits": {
 "type": "integer",
 "example": 0
 }
 }
 },
 "options": {
 "type": "object",
 "properties": {
 "build": {
 "type": "string",
 "example": "latest"
 },
 "timeoutSecs": {
 "type": "integer",
 "example": 300
 },
 "memoryMbytes": {
 "type": "integer",
 "example": 1024
 },
 "diskMbytes": {
 "type": "integer",
 "example": 2048
 }
 }
 },
 "buildId": {
 "type": "string"
 },
 "defaultKeyValueStoreId": {
 "type": "string"
 },
 "defaultDatasetId": {
 "type": "string"
 },
 "defaultRequestQueueId": {
 "type": "string"
 },
 "buildNumber": {
 "type": "string",
 "example": "1.0.0"
 },
 "containerUrl": {
 "type": "string"
 },
 "usage": {
 "type": "object",
 "properties": {
 "ACTOR_COMPUTE_UNITS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_READS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_WRITES": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_READS": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_WRITES": {
 "type": "integer",
 "example": 1
 },
 "KEY_VALUE_STORE_LISTS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_READS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_WRITES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_INTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_EXTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_SERPS": {
 "type": "integer",
 "example": 0
 }
 }
 },
 "usageTotalUsd": {
 "type": "number",
 "example": 0.00005
 },
 "usageUsd": {
 "type": "object",
 "properties": {
 "ACTOR_COMPUTE_UNITS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_READS": {
 "type": "integer",
 "example": 0
 },
 "DATASET_WRITES": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_READS": {
 "type": "integer",
 "example": 0
 },
 "KEY_VALUE_STORE_WRITES": {
 "type": "number",
 "example": 0.00005
 },
 "KEY_VALUE_STORE_LISTS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_READS": {
 "type": "integer",
 "example": 0
 },
 "REQUEST_QUEUE_WRITES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_INTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "DATA_TRANSFER_EXTERNAL_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
 "type": "integer",
 "example": 0
 },
 "PROXY_SERPS": {
 "type": "integer",
 "example": 0
 }
 }
 }
 }
 }
 }
 }
 }
 }
}

Copy & paste — that's it

npm install apify-client

MCP server setup

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

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