Bayut Property Scraper

Bayut Property Scraper creates a structured dataset of property listings collected from Bayut.com. Each dataset item can include price, address, rooms, baths, area, furnishing and completion status, agency and agent fields, image URLs, permit and reference numbers, and coordinates. Query the source by purpose, location, parent emirate, category, and property type, then narrow with price, size, room, furnishing, and completion filters. Control page and item limits with maxPages and maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format. The default charge is $0.001 per listing on every plan.

Dataset at a glance

Property	Value
Source	bayut.com
Record unit	One property listing
Input methods	Purpose, location, category, property type, and optional filters
Main identifiers	id, externalID, propertyUrl
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, and other Apify dataset exports
Update model	Fresh records per Actor run
Pricing	Pay per event. listing is $0.001 on every plan

Coverage and available records

Supported queries are for-sale and for-rent listings in residential or commercial categories. location accepts a city, a neighbourhood, or a path such as dubai/dubai-creek-harbour. For a neighbourhood, set parentLocation to the parent emirate. Leave parentLocation empty for a top-level city or a full path.

subCategory accepts the property types in the input schema, including apartments, villas, townhouses, penthouses, offices, warehouses, shops, and the other listed types. status is all, ready, or off-plan. rentFrequency applies to rent listings and accepts yearly, monthly, weekly, or daily. Room, bath, area, and price filters are optional inclusive bounds. Area inputs are square feet. Prices are AED.

maxPages defaults to 1. Leave maxItems empty to keep every listing returned within the page limit. superHot is supported only for purpose for-sale with status all. The Actor does not store a historical archive. A later run returns the listings available at that time.

The stable fields are the dataset schema fields below. A record can also keep additional source fields that are not in that schema. Those extra fields are conditional.

Data dictionary

Use externalID or propertyUrl as the deduplication key. id is the Bayut property id when present.

Field	Type	Nullable	Description	Example
coverImageUrl	string	yes	Cover image URL	Bayut image URL
propertyUrl	string	no	Listing page URL	https://www.bayut.com/property/details-12891557.html
title	string	no	Listing title	Observed on current runs
priceFormatted	string	no	Price text, including currency and rent period when present	AED 350,000 / yearly
propertyType	string	no	Property type label	Apartment
fullAddress	string	no	Address text	Abu Dhabi, Saadiyat Island, ...
purpose	string	no	for-rent or for-sale	for-rent
rooms	integer	yes	Bedroom count	1
baths	integer	yes	Bathroom count	2
area	number	yes	Area. The Actor describes this value as square feet	142.7
furnishingStatus	string	yes	Furnishing label	furnished
completionStatus	string	yes	Completion label	completed
agencyName	string	yes	Agency name	Altura Real Estate Services
agencyUrl	string	yes	Agency profile URL	Bayut company URL
agentName	string	yes	Agent name	Anna Cooper
agentUrl	string	yes	Agent profile URL	Bayut broker URL
contactName	string	yes	Contact name	Anna Cooper
imageGallery	array of string	no	Image URLs. Empty array when none are stored	[]
photoCount	integer	yes	Photo count	12
videoCount	integer	yes	Video count	0
hasVideo	boolean	yes	Whether a video count was present	false
id	integer	no	Bayut property id	Numeric id
externalID	string	no	External property id used in the listing URL	12891557
referenceNumber	string	yes	Agency reference	A-1055
permitNumber	string	yes	Permit number	20250000607048
createdAt	number	yes	Creation timestamp as a number	Numeric timestamp
updatedAt	number	yes	Update timestamp as a number	Numeric timestamp
geography	object	yes	lat and lng numbers	{ "lat": 24.538695767391, "lng": 54.41033319928 }

geography.lat and geography.lng are numbers and are omitted when geography is null.

Example dataset record

This record is from a prior Bayut rent run. Fields that the current schema always writes, but that this saved example did not include, are left null or empty. Phone numbers from that older example are omitted.

{
  "coverImageUrl": "https://bayut-production.s3.eu-central-1.amazonaws.com/image/796325979/a1f403e5e2d647528fba022789e93318",
  "propertyUrl": "https://www.bayut.com/property/details-12891557.html",
  "priceFormatted": "AED 350,000 / yearly",
  "propertyType": "Apartment",
  "fullAddress": "Abu Dhabi, Saadiyat Island, Saadiyat Cultural District, Mamsha Al Saadiyat, Lilac",
  "purpose": "for-rent",
  "rooms": 1,
  "baths": 2,
  "area": 142.7,
  "furnishingStatus": "furnished",
  "completionStatus": "completed",
  "agencyName": "Altura Real Estate Services",
  "agencyUrl": "https://www.bayut.com/companies/altura-real-estate-services-106795/",
  "agentName": "Anna Cooper",
  "agentUrl": "https://www.bayut.com/brokers/anna-cooper-2523136.html",
  "contactName": "Anna Cooper",
  "imageGallery": [],
  "photoCount": 12,
  "hasVideo": false,
  "externalID": "12891557",
  "referenceNumber": "A-1055",
  "permitNumber": "20250000607048",
  "createdAt": null,
  "updatedAt": null,
  "geography": {
    "lat": 24.538695767391,
    "lng": 54.41033319928
  }
}

That example matches a for-rent apartment query. The saved record did not include title, id, imageGallery, videoCount, createdAt, or updatedAt. The current output model writes those fields on a new run. title and id are required by that model.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
purpose	string	yes	for-sale	for-sale, for-rent	Listing purpose
location	string	yes	Dubai	City, neighbourhood, or path	Location text or path
parentLocation	string	no	empty	empty, Dubai, Abu Dhabi, Sharjah, Ajman, Al Ain, Fujairah, Ras Al Khaimah, Umm Al Quwain	Parent emirate for a neighbourhood
category	string	yes	residential	residential, commercial	Property category
subCategory	string	yes	apartments	Schema enum, including apartments, villas, townhouses, offices, shops, and the other listed types	Property type
status	string	no	all	all, ready, off-plan	Completion filter
rentFrequency	string	no	none	yearly, monthly, weekly, daily	Rent period
furnishingStatus	string	no	none	all, furnished, unfurnished	Furnishing filter
roomsMin	integer	no	none	0–10	Minimum bedrooms
roomsMax	integer	no	none	0–10	Maximum bedrooms
bathsMin	integer	no	none	0–10	Minimum bathrooms
bathsMax	integer	no	none	0–10	Maximum bathrooms
areaMin	integer	no	none	0 or more	Minimum area in square feet
areaMax	integer	no	none	0 or more	Maximum area in square feet
priceMin	integer	no	none	0 or more	Minimum price in AED
priceMax	integer	no	none	0 or more	Maximum price in AED
maxPages	integer	no	1	1 or more	Page cap. Empty means no page cap
maxItems	integer	no	none	1 or more	Item cap. Empty means no item cap
proxyConfiguration	object	no	Apify residential proxy, country AE	Apify proxy object	Proxy selection
superHot	boolean	no	false	true, false	Superhot listings. Supported for for-sale with status all

Minimal request:

{
  "purpose": "for-sale",
  "location": "Dubai",
  "category": "residential",
  "subCategory": "apartments",
  "maxItems": 20
}

Filtered request:

{
  "purpose": "for-rent",
  "location": "Dubai Creek Harbour",
  "parentLocation": "Dubai",
  "category": "residential",
  "subCategory": "apartments",
  "rentFrequency": "yearly",
  "furnishingStatus": "furnished",
  "roomsMin": 1,
  "priceMax": 200000,
  "maxPages": 2,
  "maxItems": 50
}

Retrieve the data through the API

1. Start datascrapers/bayut-scraper with the JSON input.
2. Wait until the run finishes, or call the run endpoint that waits for completion.
3. Read items from the run’s default dataset.
4. Paginate with offset and limit, or export the dataset from the run.

curl "https://api.apify.com/v2/acts/datascrapers~bayut-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"purpose":"for-sale","location":"Dubai","category":"residential","subCategory":"apartments","maxItems":20}'

Replace the run id below with the id returned by that call.

$curl "https://api.apify.com/v2/datasets/$DATASET_ID/items?clean=true&format=json&token=$APIFY_TOKEN"

Other languages are on the Actor’s API tab: https://apify.com/datascrapers/bayut-scraper

Data quality and record handling

Address, agency, agent, permit, and reference fields are conditional and null when Bayut does not show them. imageGallery is an array and can be empty. createdAt and updatedAt are numeric timestamps, not formatted dates.

The Actor does not deduplicate across runs. Deduplicate on externalID or propertyUrl. Within one run, maxItems stops collection after that many records. A source change can add or drop fields that are not in the dataset schema. There is no historical snapshot unless you store the dataset yourself.

The default proxy is Apify residential with country AE. Runs without a working proxy can return fewer records or fail.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL or Supabase	Dataset API or a webhook consumer	Store listings and upsert on externalID
Google Sheets	Apify integration	Share a filtered export with a team
S3 or other cloud storage	Scheduled dataset export or an integration	Keep one file per run
Warehouse	Dataset items as JSON or CSV	Join listings to other property datasets on URL or external id

Pricing and cost examples

Billing is pay per event. The listing event is the primary event. It is charged once for each property record pushed to the dataset. The same price applies to Free, Bronze, Silver, Gold, Platinum, and Diamond.

Event	Price on every plan	When it is charged
listing	$0.001	One property record

Records	Estimated event cost
1,000	$1.00
10,000	$10.00

These are the default prices set for this account. They are placeholders and can be changed in the Actor pricing settings. Estimates do not include Apify platform usage, which is billed to the user in addition to event charges. maxPages and filters change how many listings are returned, and therefore the event total.

Limitations and responsible data use

The Actor returns publicly available Bayut listing fields from the query you submit. It does not guarantee that every Bayut listing, emirate, or historical price is present. Missing agency, permit, or media values are expected on some listings. Website changes can change which fields are populated.

Each run is a current snapshot. It is not a stored history. You are responsible for complying with privacy, contractual, and legal requirements for the records you collect and store.

Dataset questions

What does one dataset item represent?

One Bayut property listing, either for sale or for rent, with the price, location, and agency fields available for that listing.

Which field should I use as a unique identifier?

Use externalID or propertyUrl. id is the Bayut property id when the current run includes it.

Are fields nullable or conditional?

Yes. Agency, agent, permit, reference, rooms, baths, area, and geography can be null. imageGallery can be empty. Extra source fields beyond the dataset schema are conditional.

Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, XML, or another format Apify supports, or call the Dataset API.

How do I paginate large datasets?

Raise maxPages and, if needed, maxItems on the input. After the run, page through the dataset with offset and limit.

Does the Actor return historical data?

No. Each run returns the listings available for that query at run time. Store datasets yourself if you need a timeline.

What counts as a billable result?

Each property record charges one listing event at the default price of $0.001. Filters and maxItems change the count. Platform usage is separate.

Related datasets from Data Scrapers

• Property Finder Scraper covers Property Finder listings that can be compared with Bayut on location and price.
• Dubizzle Scraper covers Dubizzle classifieds, including UAE property-style listings.
• Apartments.com Scraper covers US rental listings when the analysis is not limited to the UAE.
• Realtor Scraper covers US realtor listings with a similar property-record shape.
• Zoopla Scraper covers UK property listings for a cross-market housing set.

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.