DDProperty Listings Scraper

Extract DDProperty property listings for sale or rent and collect clean, analysis-ready real estate data at scale. Gather pricing, property details, location context, agent information, and listing quality signals for research, monitoring, and lead generation.

Features

• Comprehensive listing coverage - Collect pricing, property specs, address details, project names, agent metadata, and listing status signals
• Duplicate-safe collection - Save unique listings only, even across multiple result pages
• Adaptive continuity - Keeps collection stable when one access pattern stops returning usable listing data
• Rich location context - Capture district, region, nearby MRT references, and feature summaries
• Clean output records - Automatically removes empty values so exported data stays ready for analysis

Use Cases

Market Monitoring

Track sale and rent inventory over time to understand pricing shifts, listing freshness, and supply changes in target areas.

Lead Research

Build structured property datasets with agent and project context for outreach, qualification, and portfolio review.

Competitive Analysis

Compare property types, pricing, and listing visibility signals across districts, projects, and commercial versus residential segments.

Investment Screening

Review floor area, price-per-area, building context, and recency indicators to shortlist attractive property opportunities faster.

Data Pipeline Automation

Feed structured listing data into dashboards, alerts, or CRM tools for continuous real estate intelligence.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	DDProperty sale search URL	Search URL to start from
listingType	String	No	sale	Listing mode - sale or rent
isCommercial	Boolean	No	false	Toggle commercial property search
results_wanted	Integer	No	20	Maximum number of listings to save
max_pages	Integer	No	5	Maximum result pages to inspect
proxyConfiguration	Object	No	Residential proxy preset	Proxy settings for reliable runs

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Output Data

Each item in the dataset contains:

Field	Type	Description
id	String	Listing ID
externalId	String	External listing ID
title	String	Listing title
url	String	Listing URL
listingType	String	Sale or rent label
propertyType	String	Property type (Condo, House, etc.)
statusCode	String	Listing status code
price	Number	Numeric listing price
priceText	String	Formatted listing price
pricePerArea	String	Price per area text
currency	String	Currency code
bedrooms	Number	Bedroom count
bathrooms	Number	Bathroom count
floorAreaSqm	Number	Floor area in square meters
landAreaSqm	Number	Land area in square meters
address	String	Full address
district	String	District name
region	String	Region name
projectName	String	Project or development name
developerName	String	Developer name when available
agentName	String	Agent name
agentId	Number	Agent ID
agentVerified	Boolean	Agent verification flag
imageUrl	String	Main listing image URL
photoGallery	Array	Full-resolution photo URLs from the listing gallery
availabilityText	String	Availability label
listedByText	String	Listing source label
badgeText	String	Listing badge text
viewedLabel	String	Viewer activity label
mrtNames	Array	Nearby MRT station names
featureTexts	Array	Feature summary text values
isVerified	Boolean	Listing verification flag
isOfficialListing	Boolean	Official listing flag
isDeveloperListing	Boolean	Developer listing flag
isDeveloperUnitListing	Boolean	Developer unit listing flag
isPrioritized	Boolean	Prioritized listing flag
isPhoneOtpEnabled	Boolean	Phone verification flag
accountTypeCode	String	Listing account type
recencyText	String	Recency text
postedOnText	String	Display posting date
postedOnUnix	Number	Posting timestamp
sourceUrl	String	Search page URL used for collection
page	Number	Search result page number
scrapedAt	String	ISO timestamp when the record was collected

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Usage Examples

Basic Sale Listings

Collect default sale search results:

{
  "startUrl": "https://www.ddproperty.com/en/property-for-sale?listingType=sale&isCommercial=false",
  "listingType": "sale",
  "isCommercial": false,
  "results_wanted": 20,
  "max_pages": 3
}

Rent Listings

Switch to rent inventory:

{
  "startUrl": "https://www.ddproperty.com/en/property-for-rent?listingType=rent&isCommercial=false",
  "listingType": "rent",
  "isCommercial": false,
  "results_wanted": 30,
  "max_pages": 4
}

Commercial Search

Collect commercial property listings with residential proxies for better continuity:

{
  "startUrl": "https://www.ddproperty.com/en/property-for-sale?listingType=sale&isCommercial=true",
  "listingType": "sale",
  "isCommercial": true,
  "results_wanted": 20,
  "max_pages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": "12345678",
  "externalId": "12345678",
  "title": "3 Bedroom Condo for sale at Example Residence",
  "url": "https://www.ddproperty.com/en/property/example-residence-for-sale-12345678",
  "listingType": "For Sale",
  "propertyType": "Condo",
  "statusCode": "ACT",
  "price": 8500000,
  "priceText": "฿8,500,000",
  "pricePerArea": "฿94,444 / sqm",
  "currency": "THB",
  "bedrooms": 3,
  "bathrooms": 2,
  "floorAreaSqm": 95,
  "address": "Bang Na, Bang Na, Bangkok",
  "district": "Bang Na",
  "region": "Bangkok",
  "projectName": "Example Residence",
  "developerName": "Example Developer",
  "agentName": "Example Agent",
  "agentId": 81234,
  "agentVerified": true,
  "availabilityText": "Available now",
  "listedByText": "Listed by agent",
  "badgeText": "Verified",
  "viewedLabel": "Viewed 120 times",
  "mrtNames": ["Bang Na"],
  "featureTexts": ["3 Beds", "2 Baths", "95 sqm"],
  "imageUrl": "https://th1-cdn.pgimgs.com/project-listing-project/60248606/PLPHO.134568456.V550/example.jpg",
  "photoGallery": [
    "https://th1-cdn.pgimgs.com/project-listing-project/60248606/PLPHO.134568456.V800/example.jpg",
    "https://th1-cdn.pgimgs.com/project-listing-project/60248606/PLPHO.134568457.V800/example-2.jpg"
  ],
  "isVerified": true,
  "isOfficialListing": false,
  "isDeveloperListing": false,
  "isPrioritized": true,
  "accountTypeCode": "agent",
  "recencyText": "2 days ago",
  "postedOnText": "2 days ago",
  "postedOnUnix": 1772755200,
  "sourceUrl": "https://www.ddproperty.com/en/property-for-sale?listingType=sale&isCommercial=false",
  "page": 1,
  "scrapedAt": "2026-06-15T12:00:00.000Z"
}

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Tips for Best Results

Start Small

• Use results_wanted: 20 for faster validation runs
• Increase max_pages gradually for larger collection jobs

Choose Stable Search URLs

• Use working DDProperty search URLs with the correct listingType
• Keep isCommercial aligned with the chosen search page

Improve Continuity

• Use residential proxies for larger or repeated runs
• Rerun with a lower page limit first if the site returns fewer records than expected

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Proxy Configuration

For reliable results, residential proxies are recommended:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Integrations

Connect your data with:

• Google Sheets - Review property inventory in a spreadsheet workflow
• Airtable - Build searchable listing databases
• Webhooks - Send fresh listing data to downstream systems
• Make - Automate lead and monitoring workflows
• Zapier - Trigger alerts and reporting steps

Export Formats

• JSON - For APIs and custom applications
• CSV - For spreadsheet analysis
• Excel - For business reporting
• XML - For system integrations

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Frequently Asked Questions

How many listings can I collect?

You can collect all available listings the selected search exposes. Set results_wanted to your target number and increase max_pages for deeper pagination.

Can I collect both sale and rent listings?

Yes, you can. Set listingType to sale for for-sale properties or rent for rental listings, and provide a matching DDProperty search URL.

What fields does each listing record contain?

Each record includes 43 fields covering price, property type, bedrooms, bathrooms, floor area, land area, address, district, region, project name, developer name, agent details, MRT station names, feature summaries, verification flags, and timestamps.

Why do some fields appear empty?

Not every listing exposes all data points. Empty values are omitted automatically so the exported dataset stays clean and analysis-ready.

Why should I use proxies?

Residential proxies provide better continuity for repeated or large-scale collection runs. They help reduce the chance of rate limiting and access interruptions.

What happens if no listings are found?

The run stops with a clear error message instead of returning a fake success record. This makes it straightforward to diagnose issues and adjust your input parameters.

Can I automate this on a schedule?

Yes. Apify supports scheduled runs. You can configure daily or weekly collection jobs and pipe results into Google Sheets, Slack, or custom webhooks.

Is this compliant with DDProperty terms?

You are responsible for using this actor in accordance with DDProperty's terms of service and robots.txt. Always respect rate limits and applicable laws.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

Use this actor responsibly and in compliance with DDProperty terms, robots policies, and applicable laws. You are responsible for lawful use of collected data.