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:24 total users, 6 monthly users, 100.0% runs succeeded, 0 bookmarks
- User rating: No ratings yet
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
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".
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— theApify MCP serverathttps://mcp.apify.com(remote, streamable HTTP, OAuth on first use).
- Agentic workflows and local Actor development—Agent Skillswith theApify CLI:npm install -g apify-cli, thenapify login.
- JavaScript/TypeScript projects— the officialJS/TS client:npm install apify-client.
- Python projects— the officialPython client:pip install apify-client.
- Any other language— theREST API.
For usage examples, see theAPIsection below.
For more details, see Apify documentation asMarkdown indexandMarkdown full-text.
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.
- 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" } } }
Search Redfin for condos in Seattle under $500k and get details on three of them.
Pricing:$0.02 per tool call (Pay-Per-Event). Runs in Standby mode.
Related NexGenData MCP Servers & Real Estate Actors
NexGenData publishes a large catalog of buyer-intent actors plus a family of MCP servers for AI agent workflows. All pay-per-event. Browse the full catalog athttps://apify.com/nexgendata
🏠 Home:thenextgennexus.com📦 Full catalog:apify.com/nexgendata
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/redfin-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(💾 Check your data here: https://console.apify.com/storage/datasets/${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
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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
echo '{}' | apify call nexgendata/redfin-mcp-server --silent --output-dataset
{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/redfin-mcp-server" } } }
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send anAuthorization: Bearer <APIFY_API_TOKEN>header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
Download the OpenAPI definition:https://api.apify.com/v2/actors/rRDQsFu4MMLT0HMZR/builds/vJOKxv3a1YaGv0Flj/openapi.json
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