DDproperty Thailand Scraper

What DDproperty Thailand Scraper can do

• Two ways to search. Build a search from filters (region, property type, price, bedrooms) or paste one or more DDproperty search URLs when you need a more refined query than the filters allow.
• Detail-page enrichment on demand. Turn on detail pages to add exact latitude and longitude, a full description, facilities, floor plans and project attributes to every listing, not just what the search results page shows.
• Agent and developer data. Every listing carries the agent name and ID, the agency ID, and the developer name (or the full legal name on new-launch project rows) when the listing belongs to a project.
• Nationwide region coverage. Search by region, district or area code, from Bangkok down to a single sub-district, or leave it open for every listing on a listing type.
• Built for schedules. Incremental mode remembers a recurring search itself and returns only new, updated and reappeared listings on later runs (plus expired ones if you turn on Emit expired), with unchanged ones suppressed by default.
• Nearest transit. Distance and station ID for the closest BTS or MRT stop whenever the listing shows one, useful for Bangkok's transit-driven property market.

Choose what to collect

These inputs let you configure DDproperty Thailand Scraper - Properties, Prices & Agents. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": 12345678,
  "title": "Condo for Sale in Watthana, Bangkok",
  "address": "Sukhumvit Soi 24, Khlong Tan, Watthana, Bangkok",
  "listing_type": "sale",
  "property_type": "CONDO",
  "price": 8500000,
  "price_formatted": "฿8,500,000",
  "price_per_sqm": "฿141,667 / sqm",
  "bedrooms": 2,
  "bathrooms": 2,
  "floor_area": 60,
  "tenure": "Freehold",
  "developer": "Sample Developer Co.",
  "is_developer_listing": true,
  "agent_name": "Agent Name",
  "agent_id": 445566,
  "agency_id": 778899,
  "region": "Bangkok",
  "region_code": "TH10",
  "district": "Watthana",
  "area": "Khlong Tan",
  "latitude": 13.7305,
  "longitude": 100.5697,
  "location_source": "detail_page",
  "nearby_mrt": "7 min (560 m) from E5 Asok BTS",
  "nearby_station_id": "E5",
  "badges": [
    "Freehold",
    "Condo"
  ],
  "posted_date": "07 Jul 2026",
  "posted_unix": 1783382400,
  "images": [
    "https://www.ddproperty.com/sample/image1.jpg"
  ],
  "image_count": 1,
  "url": "https://www.ddproperty.com/en/property/sample-condo-12345678",
  "status": "ACT",
  "description": "Spacious condo close to Asok BTS, sample listing description.",
  "facilities": [
    "Swimming Pool",
    "Fitness Centre"
  ]
}

Ways to use this data

• Property investment research: compare prices per square meter, tenure and developer across regions to spot value.
• Rental market monitoring: track rent listings in a district over time with incremental mode to catch new units as they list.
• Real estate lead generation: collect agent names, agent IDs and agency IDs from listings matching your target criteria.
• Proptech and map products: feed exact coordinates and nearest-transit data into a map or search product.
• Market research and reporting: build a dataset of listing counts, price bands and property types by region for analysis.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor