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Off-Plan Investment Tracking

Track new development projects, compare off-plan pricing, and discover investment opportunities with BayutAPI's new projects endpoints.

Target audience: Off-plan property investors

The Problem

Off-plan property investment in the UAE is booming, but tracking new developments is challenging. Projects are announced frequently, pricing changes without notice, and investors need to compare projects across developers and locations. Manually monitoring property portals for new project launches and price updates is time-consuming and easy to miss. Investors need a systematic way to track and compare off-plan opportunities.

The Solution with BayutAPI

BayutAPI’s new projects and developer endpoints give investors programmatic access to off-plan development data. Search for new projects by location, track developer portfolios, and compare pricing across developments. Build automated alerts that notify you when new projects are listed or when existing projects update their pricing.

How It Works

Step 1: Search New Projects

Use the /search-new-projects endpoint to discover off-plan developments:

import requests

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

# Search for new projects in Dubai
params = {
    "location_ids": "5001",
    "page": "1"
}

response = requests.get(
    "https://bayut14.p.rapidapi.com/search-new-projects",
    headers=headers,
    params=params
)

projects = response.json()

for project in projects.get("data", {}).get("properties", []):
    print(f"Project: {project.get('title', {}).get('en', 'N/A')}")
    print(f"  Developer: {project.get('developer', {}).get('name', 'N/A')}")
    print(f"  Location: {project.get('location', 'N/A')}")
    print()

Step 2: Research Developers

Look up specific developers to evaluate their track record and current portfolio:

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

for dev in dev_response.get("data", {}).get("developers", []):
    print(f"Developer: {dev['name']}")
    print(f"  Projects: {dev.get('projectsCount', 0)}")
    print()

Step 3: Build a Tracking System

Create a script that runs on a schedule and alerts you to new projects or changes:

import json
from datetime import datetime

def track_new_projects(location_ids):
    """Fetch and store project data for comparison."""
    all_projects = []

    for loc_id in location_ids:
        resp = requests.get(
            "https://bayut14.p.rapidapi.com/search-new-projects",
            headers=headers,
            params={"location_ids": loc_id, "page": "1"}
        ).json()

        for project in resp.get("data", {}).get("properties", []):
            all_projects.append({
                "id": project.get("id"),
                "title": project.get("title"),
                "developer": project.get("developer", {}).get("name"),
                "location": project.get("location"),
                "fetched_at": datetime.now().isoformat()
            })

    return all_projects

# Track projects across key areas
locations = ["5001", "5002", "5003"]  # Downtown, Marina, Business Bay
projects = track_new_projects(locations)

# Save for comparison with next run
with open("projects_snapshot.json", "w") as f:
    json.dump(projects, f, indent=2)

print(f"Tracked {len(projects)} projects across {len(locations)} areas")

Relevant Endpoints

  • /search-new-projects — Discover off-plan developments by location
  • /developer-search-by-name — Research developer portfolios and track records
  • /autocomplete — Resolve area names to location IDs for targeted project searches

Benefits

  • Early discovery: Find new project launches as soon as they are listed.
  • Developer research: Evaluate developer track records by reviewing their project portfolios.
  • Automated tracking: Set up scripts that monitor the market and alert you to new opportunities.
  • Location comparison: Compare off-plan pricing and availability across different areas.
  • Data-driven investing: Make investment decisions based on market data rather than broker recommendations alone.

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