Realestate Newsletter Agent Langgraph
Pricing
Pay per event
Realestate Newsletter Agent Langgraph
An autonomous Apify actor that generates comprehensive real estate market research reports by analyzing data from multiple authoritative sources.
0.0 (0)
Pricing
Pay per event
0
Monthly users
1
Runs succeeded
74%
Last modified
11 days ago
You can access the Realestate Newsletter Agent Langgraph 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=gopalakrishnan/realestate-newsletter-agent-langgraph"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Realestate Newsletter Agent Langgraph via Model Context Protocol (MCP) server
MCP server lets you use Realestate Newsletter Agent Langgraph 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 Realestate Newsletter Agent Langgraph 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 "name": "gopalakrishnan/realestate-newsletter-agent-langgraph"
8 }
9}'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 Realestate Newsletter Agent Langgraph
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 "gopalakrishnan/realestate-newsletter-agent-langgraph"
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.
Pricing
Pricing model
Pay per eventThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Search Initialization
$0.020
Charged when a new market search is initiated for a location
URL Processing
$0.020
Charged per validated URL from real estate sources (Zillow, Redfin, Realtor, Rocket)
Data Extraction
$0.020
Charged per source when market data is successfully extracted from the webpage
Market Analysis
$0.020
Charged per source when market data is successfully analyzed and validated
Newsletter Generation
$0.500
Charged for generating the final market analysis newsletter with compiled insights
