You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
swarms/examples/README_realtor.md

1.1 KiB

Realtor Agent Example

This example demonstrates how to create an AI-powered rental property specialist using the Swarms framework and the Realtor API.

Quick Start

  1. Install dependencies:
pip install swarms
  1. Get your Realtor API key:
  1. Update the API key in realtor_agent.py:
headers = {
    "x-rapidapi-key": "YOUR_API_KEY_HERE",
    "x-rapidapi-host": "realtor-search.p.rapidapi.com",
}
  1. Run the example:
from realtor_agent import agent

# Search single location
response = agent.run(
    "What are the best properties in Menlo Park for rent under $3,000?"
    f"Data: {get_realtor_data_from_one_source('Menlo Park, CA')}"
)
print(response)

Features

  • Property search across multiple locations
  • Detailed property analysis
  • Location assessment
  • Financial analysis
  • Tenant matching recommendations

For full documentation, see docs/examples/realtor_agent.md.