AI Realestateagent
This Actor is paid per event
AI Realestateagent
This Actor is paid per event
AI Real Estate Agent is an Apify Actor that searches for real estate listings on Zillow based on user queries. It extracts ZIP codes using an LLM (GPT-3.5-Turbo) and fetches property listings using the Zillow Scraper.
Balaji SeetharamanActor Metrics
2 monthly users
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Created in Mar 2025
Modified a day ago
You can access the AI Realestateagent programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=bala-ceg/ai-realestateagent"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing AI Realestateagent via Model Context Protocol (MCP) server
MCP server lets you use AI Realestateagent within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the AI Realestateagent Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "query": "Searching for a 2-bedroom apartment in San Francisco, CA, with a monthly rent between $2000 and $4000, and preferably featuring amenities such as parking and a gym."
8},
9 "name": "bala-ceg/ai-realestateagent"
10 }
11}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for AI Realestateagent
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "bala-ceg/ai-realestateagent"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
