Property Finder: scrapers and the official API, compared

Route map

Each line is one way to get Property Finder data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 7 fields most Property Finder jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Property Finder Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use Property Finder listings to compare advertised property prices, track community inventory and research broker coverage. Rental comparisons need the payment period as well as the amount.

A listing-focused route suits price and inventory analysis. A contact-focused route needs explicit broker coverage and handling rules for contact details.

Checklist

• Keep purpose, priceCurrency and priceDuration alongside price so sale amounts and rental periods remain distinguishable.
• Check sizeUnit and pricePerAreaUnit before comparing size or pricePerArea across records.

Where the data is incomplete

The published schema includes city and community but does not list address. It also does not document country coverage.

The published data does not define isVerified or explain how brokerPhone is populated. Neither field establishes contact accuracy, current availability or permission to use a contact for outreach.

Official API route

Terms and personal data

Limit collection to public listings and review Property Finder's terms before collecting or reusing records. Assess the permitted use of broker contact details separately from access to listing pages. This is general information, not legal advice.

Read Property Finder's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open Property Finder MENA Listings & Agent Contact Extractor and review its documented inputs and Dubai apartment example.
2. Configure a narrowly scoped search with the documented location and listing filters, then start collection.
3. Inspect url, priceCurrency, priceDuration, sizeUnit and any required broker details before exporting the dataset.

Call Property Finder MENA Listings & Agent Contact Extractor from code

The example input uses the Actor's published defaults; set your own Property Finder query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "country": "ae",
    "city": "dubai",
    "purpose": "buy",
    "propertyType": "apartment",
    "bedrooms": "any",
    "furnishing": "any",
    "completionStatus": "any",
    "maxItems": 2,
    "includeDetails": True
}

run = client.actor("dataspryva/property-finder-mena-listings-and-agent-contact").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "country": "ae",
    "city": "dubai",
    "purpose": "buy",
    "propertyType": "apartment",
    "bedrooms": "any",
    "furnishing": "any",
    "completionStatus": "any",
    "maxItems": 2,
    "includeDetails": true
};

const run = await client.actor("dataspryva/property-finder-mena-listings-and-agent-contact").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/dataspryva~property-finder-mena-listings-and-agent-contact/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","country":"ae","city":"dubai","purpose":"buy","propertyType":"apartment","bedrooms":"any","furnishing":"any","completionStatus":"any","maxItems":2,"includeDetails":true}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/property-finder-mena-listings-and-agent-contact",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Property Finder

• Country comparisonUAE property data: Property Finder and Bayut compared
• Topic groupReal estate data: every website compared
• ToolWhich Property Finder route fits your job?
• ToolProperty Finder cost by Apify plan, rows and runs

Related websites

• 99acres1 Actor

Sources

• Property Finder MENA Listings & Agent Contact Extractor on Apify Store
• No public listing API documentation
• Property Finder terms