Get Real Estate List
The AI Agent
API provides functionality to retrieve a list of real estate listings by sending a POST
request to the /chat/Chatbot/RealEstateList
endpoint.
Endpoint
Request URL: https://usapi.hottask.com/chat/Chatbot/RealEstateList
Method: POST
Request Headers
The API request must include the following headers:
chatrobot-sessionkey: <Your-Session-Key>
- string, required - The session key for authenticating the API request (found on the Workspace -> Webhooks API -> chatrobot-sessionkey)
Request Body
The request body should contain the following parameters:
{
// string, required - The ID of the chatbot (found on the chatbot settings -> general -> chatbot ID)
"SerialNumber": "3254a9d0424c4806b9ea3d0763xxxxxx",
// string, optional - Filter properties by city name
"CityName": "Los Angeles",
// string, optional - Must be one of: [for_sale, for_rent]
"SaleType": "for_sale",
// string, optional - Filter properties by MLS number
"MLSNumber": "MLS123456",
// integer, optional - Page number for pagination (default: 1)
"PageNumber": 1,
// integer, optional - Number of items per page (default: 20)
"PageSize": 20
}
SerialNumber
- string, required - The ID of the chatbot (found on the chatbot settings -> general -> chatbot ID)CityName
- string, optional - Filter properties by city nameSaleType
- string, optional - Must be one of: [for_sale, for_rent]MLSNumber
- string, optional - Filter properties by MLS numberPageNumber
- integer, optional - Page number for pagination (default: 1)PageSize
- integer, optional - Number of items per page (default: 20)
Example Request
JavaScript (Fetch API)
const res = await fetch('https://usapi.hottask.com/chat/Chatbot/RealEstateList', {
method: 'POST',
headers: {
"chatrobot-sessionkey": "<Your-Session-Key>"
},
body: JSON.stringify({
"SerialNumber": "3254a9d0424c4806b9ea3d0763xxxxxx",
"CityName": "Los Angeles",
"SaleType": "for_sale",
"PageNumber": 1,
"PageSize": 20
})
});
const data = await res.json();
console.log(data);
Python (Requests Library)
import requests
import json
url = 'https://usapi.hottask.com/chat/Chatbot/RealEstateList'
headers = {
"chatrobot-sessionkey": "<Your-Session-Key>"
}
data = {
"SerialNumber": "3254a9d0424c4806b9ea3d0763xxxxxx",
"CityName": "Los Angeles",
"SaleType": "for_sale",
"PageNumber": 1,
"PageSize": 20
}
response = requests.post(url, headers=headers, json=data)
data = response.json()
print(data)
cURL
curl 'https://usapi.hottask.com/chat/Chatbot/RealEstateList' \
-X POST \
-H 'chatrobot-sessionkey: <Your-Session-Key>' \
-d '{"SerialNumber":"3254a9d0424c4806b9ea3d0763xxxxxx","CityName":"Los Angeles","SaleType":"for_sale","PageNumber":1,"PageSize":20}'
HTTP Request
POST /chat/Chatbot/RealEstateList HTTP/1.1
Host: usapi.hottask.com
chatrobot-sessionkey: <Your-Session-Key>
{
"SerialNumber": "3254a9d0424c4806b9ea3d0763xxxxxx",
"CityName": "Los Angeles",
"SaleType": "for_sale",
"PageNumber": 1,
"PageSize": 20
}
Response
The API response will be a JSON object with the following structure:
{
// object - The response data
"Data": {
"List": [
{
"ID": 7459,
"PropertyType": "Single Family Residential",
"SaleType": "For Rent",
"Status": "Active",
"Images": "",
"CurrencySymbol": "$",
"Price": "80000.00",
"State": "CA",
"City": "Los Angeles",
"Address": "123 Main St",
"ZIP": "90001",
"LATITUDE": 30.96,
"LONGITUDE": -78.93,
"Area": "Downtown",
"Bathrooms": "4",
"Bedrooms": "4",
"Url": "https://example.com/property/123",
"Tours": "3D",
"YearBuilt": "2020",
"MLSNumber": "MLS123456",
"DaysOnMarket": "20",
"LotArea": "800",
"BuildingArea": "2500",
"ParkingSpots": "8",
"Description": "Beautiful property in prime location",
"ExtensionColumn": "[{'Key':'Pool', 'value':'Yes'}]",
"RentPrice": "80000.00",
"SpaceType": "Entire place",
"DepositFee": "5000.00",
"SalePrice": "",
"UnitAreaPrice": "",
"ZestimatePrice": "",
"HOAMonth": ""
}
],
"VirtualCount": 10
},
// string - API version
"Version": "1.0.0",
// boolean - Operation success status
"Success": true,
// integer - HTTP status code
"Code": 200,
// string - Error message if any
"Message": ""
}
Error Handling
If the request fails, you should:
1. Check the HTTP status code for network-level errors
2. Examine the `Code` and `Message` fields in the response for business-level errors
3. The `Message` field will contain detailed error information