CRM Integration

The Problem

Real estate brokerages and CRM platforms need to keep their property inventory up to date. Agents waste hours manually copying listings from property portals into their CRM systems. Data gets stale, duplicates pile up, and opportunities are missed because the CRM does not reflect the current state of the market. What’s needed is an automated data sync between the market and internal tools.

The Solution with BayutAPI

BayutAPI enables automated property data ingestion into any CRM system. Whether you use Salesforce, HubSpot, Zoho CRM, or a custom-built solution, you can set up scheduled jobs that pull fresh listings, update existing records, and flag new properties that match your criteria. This keeps your CRM current and gives your sales team a competitive edge.

How It Works

Step 1: Scheduled Data Pull

Set up a cron job or serverless function that runs periodically to fetch new listings:

import requests
import json
from datetime import datetime

headers = {
    "x-rapidapi-key": "YOUR_API_KEY",
    "x-rapidapi-host": "bayut14.p.rapidapi.com"
}

def fetch_new_listings(location_id, purpose="for-sale"):
    """Fetch latest listings for a specific area."""
    all_listings = []
    page = 1

    while page <= 5:  # Limit to first 5 pages
        params = {
            "purpose": purpose,
            "location_ids": location_id,
            "page": str(page),
            "sort": "latest"
        }

        response = requests.get(
            "https://bayut14.p.rapidapi.com/search-property",
            headers=headers,
            params=params
        )
        data = response.json()
        hits = data["data"]["properties"]

        if not hits:
            break

        all_listings.extend(hits)
        page += 1

    return all_listings

# Fetch listings for Dubai Marina
listings = fetch_new_listings("5002")
print(f"Fetched {len(listings)} listings at {datetime.now()}")

Step 2: Map to CRM Fields

Transform the API response into your CRM’s data schema:

def map_to_crm_record(listing):
    """Map BayutAPI listing to CRM record format."""
    return {
        "external_id": listing["id"],
        "title": listing["title"],
        "price": listing["price"],
        "currency": listing.get("currency", "AED"),
        "bedrooms": listing.get("bedrooms", 0),
        "bathrooms": listing.get("bathrooms", 0),
        "area_sqft": listing.get("area", 0),
        "location": listing.get("location", ""),
        "agent_name": listing.get("agency", {}).get("name", ""),
        "purpose": listing.get("purpose", ""),
        "last_synced": datetime.now().isoformat()
    }

crm_records = [map_to_crm_record(l) for l in listings]

Step 3: Sync Agent Data

Keep your agent contacts current by periodically syncing agent information:

agent_response = requests.get(
    "https://bayut14.p.rapidapi.com/agent-search-by-name",
    headers=headers,
    params={"query": "Dubai", "page": "1"}
).json()

for agent in agent_response.get("data", {}).get("agents", []):
    # Upsert agent into CRM contacts
    print(f"Syncing agent: {agent['name']} ({agent.get('listingsCount', 0)} listings)")

Relevant Endpoints

• /search-property — Pull listings by area, price, and property type for CRM ingestion
• /agent-search-by-name — Sync agent profiles and contact information
• /agency-properties — Get all listings for a specific agency

Benefits

• Automated sync: Eliminate manual data entry with scheduled API pulls.
• Always current: Your CRM reflects the latest market listings, not stale data from last week.
• Lead matching: Automatically match new listings to buyer criteria stored in your CRM.
• Agent intelligence: Keep agent and agency contact data current for outreach and partnerships.
• Flexible integration: REST API works with any CRM that supports custom integrations or webhooks.