Real Estate MCP Server

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

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.

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

- get_property_details— Full detail for a specific property.
- search_redfin_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": { "real-estate": { "url": "https://nexgendata--real-estate-mcp-server.apify.actor/mcp" } } }

Search for 3-bed homes under $600k in Denver and pull full details on the top result.

Pricing:$0.05 per property record (Pay-Per-Event). Runs in Standby mode.

Enable verbose logging in the MCP server stdout. Helpful when wiring a new AI client (Claude Desktop, Cursor, n8n) and you want to see every tool invocation. Leave off in production.

Maximum time a single MCP tool invocation may run before the server aborts it and returns a timeout error to the AI client. Increase only if your agent issues unusually long-running property scrapes (e.g. fetching hundreds of comps in one shot).

{ "debug": false, "maxToolCallSeconds": 90 }

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 = { "debug": false, "maxToolCallSeconds": 90 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/real-estate-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 = { "debug": False, "maxToolCallSeconds": 90, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/real-estate-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 '{ "debug": false, "maxToolCallSeconds": 90 }' | apify call nexgendata/real-estate-mcp-server --silent --output-dataset

{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/real-estate-mcp-server" } } }

Official OpenWeb Ninja MCP server connecting any AI agent to 40+ web data APIs for web search, e-commerce, local business, jobs, real estate, and finance data.

Zillow property data for AI agents — search listings by city or ZIP, look up any US address, and get 50+ fields per property including prices, Zestimates, price history, and sold data.

Search and retrieve rental property details from Daft.ie via web scraping.

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

Exposes every scraper-api.com endpoint as its own tool, returning public profiles, posts, comments, ads, business directory and real estate data as consistent JSON.

Austin & Travis County civic and real-estate data in plain English — active MLS listings, TCAD tax/appraisal, permits, zoning, crime, 311, schools, and FEMA flood across 36 tools, no API key.

Enable AI agents to get structured data from unstructured web with AgentQL.

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