Property Finder Scraper

Property Finder Scraper creates a structured dataset of property listing records collected from Property Finder (propertyfinder.ae). Each dataset item can include the listing title, price (value, currency, and period), location and coordinates, bedroom and bathroom counts, size, property type, listing URL, agent and broker contact details, verification status, and listed date. Query the source using a Property Finder search URL, control request concurrency with maxConcurrency, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or XML.

Dataset at a glance

Property	Value
Source	propertyfinder.ae
Record unit	One property listing
Input methods	Search URL
Main identifiers	id, share_url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML
Update model	Fresh records per Actor run
Pricing	Pay per event, $3 per 1,000 results

Coverage and available records

The Actor starts from a Property Finder search URL (sale or rent, with any site filters applied) and paginates through all matching listings, returning one record per property. It captures residential and commercial listings with pricing, location, features, and agent/broker contact details where the listing exposes them.

Data dictionary

Field	Type	Nullable	Description	Example
id	string	No	Property ID	15529240
title	string	Yes	Listing title	Unfurnished | Great Location | Available Now
property_type	string	Yes	Property type	Apartment
price	object	Yes	Price object (value, currency, period)	{ "value": 155000, "currency": "AED", "period": "yearly" }
location	object	Yes	Location (full_name, coordinates.lat, coordinates.lon)	{ "full_name": "Downtown Dubai, Dubai" }
bedrooms	string	Yes	Number of bedrooms	2
bathrooms	string	Yes	Number of bathrooms	2
size	object	Yes	Size (value, unit)	{ "value": 1347, "unit": "sqft" }
agent	object	Yes	Agent (name, email)	{ "name": "Ryan Duddy" }
broker	object	Yes	Broker (name, phone)	{ "name": "betterhomes - Business Bay" }
is_verified	boolean	Yes	Verified listing flag	true
offering_type	string	Yes	Offering type	Residential for Rent
listed_date	string	Yes	Listed date	2025-11-03T08:12:03Z
share_url	string	Yes	Listing URL	https://www.propertyfinder.ae/en/plp/...

Example dataset record

{
  "id": "15529240",
  "property_type": "Apartment",
  "price": { "value": 155000, "currency": "AED", "period": "yearly" },
  "title": "Unfurnished | Great Location | Available Now",
  "location": {
    "full_name": "Burj Views C, Burj Views, Downtown Dubai, Dubai",
    "coordinates": { "lat": 25.190874, "lon": 55.281666 }
  },
  "bedrooms": "2",
  "bathrooms": "2",
  "size": { "value": 1347, "unit": "sqft" },
  "agent": { "name": "Ryan Duddy", "email": "ryan.duddy@bhomes.com" },
  "broker": { "name": "betterhomes - Business Bay", "phone": "+97144081000" },
  "is_verified": true,
  "offering_type": "Residential for Rent",
  "listed_date": "2025-11-03T08:12:03Z",
  "share_url": "https://www.propertyfinder.ae/en/plp/rent/apartment-for-rent-dubai-downtown-dubai-burj-views-burj-views-c-15529240.html"
}

The record above was produced by the input in the next section: a Property Finder search for rentals in Dubai.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
url	string	Yes	—	Property Finder search URL	Search page to scrape (sale/rent, area, filters)
maxConcurrency	integer	No	5	1–20	Maximum concurrent page requests
proxyConfiguration	object	No	Residential	Apify proxy settings	Proxy configuration

Minimal request:

{
  "url": "https://www.propertyfinder.ae/en/search?l=1&c=2&fu=0&rp=y&ob=mr&page=1"
}

Advanced request:

{
  "url": "https://www.propertyfinder.ae/en/search?l=1&c=2&fu=0&rp=y&ob=mr&page=1",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Retrieve the data through the API

1. Start the Actor with a JSON input containing a Property Finder url.
2. Wait for the run to finish.
3. Read records from the run's default dataset.
4. Paginate or export the dataset.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/propertyfinder-scraper").call(
    run_input={
        "url": "https://www.propertyfinder.ae/en/search?l=1&c=2&fu=0&rp=y&ob=mr&page=1",
        "maxConcurrency": 5,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("id"), item.get("title"), item.get("price"))

Apify's generated API tab documents the equivalent calls for other languages.

Data quality and record handling

• Completeness — agent, broker, verification, and size fields are conditional on the listing's data.
• Source changes — pricing and availability reflect the response at scrape time.
• Deduplication — the Actor does not deduplicate across runs; use id as the stable key.
• Retry/error behavior — listings that cannot be resolved are skipped; the run continues.
• Normalization — price and size are nested objects; coordinates are numeric.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL/Supabase	Dataset API or webhook consumer	Property market analysis
Google Sheets	Apify integration	Lead and price tracking
S3/cloud storage	Scheduled export or integration	Listing snapshots

Pricing and cost examples

Billing is pay per event: each listing record pushed to the dataset is one charge. Platform compute is included in the actor usage fee.

Records	Estimated base cost
1,000	$3.00
10,000	$30.00
100,000	$300.00

Estimates depend on the verified pricing model and the number of results you request.

Limitations and responsible data use

• Only publicly accessible Property Finder listing data is returned.
• Prices and availability change frequently and reflect the moment of collection.
• Fields may be missing or conditional depending on the listing.
• No historical snapshots are stored unless you keep them yourself.
• You are responsible for complying with Property Finder's terms and applicable laws.

Dataset questions

What does one dataset item represent?

One property listing.

Which field should I use as a unique identifier?

Use id, the property identifier.

Are fields nullable or conditional?

Yes. Agent, broker, verification, and size fields are conditional on the listing's data.

Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, or XML, or read it through the Apify Dataset API.

How do I paginate large datasets?

The Actor paginates the search automatically; use the Dataset API to page through results.

What counts as a billable result?

Each listing record pushed to the dataset is one event charge.

Related datasets from Data Scrapers

• Dubizzle Scraper — UAE classifieds (motors, property, jobs) for the same regional market.
• Dubai Listing Scraper — Bayut UAE property records that join with Property Finder data.
• Rightmove Scraper — UK property records for cross-market analysis.
• Idealista Scraper — European property listings for broader datasets.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.