Datasetpublic

afaskar/Aqar.fm-Saudi-Real-Estate-Listings

Aqar.fm Saudi Real Estate Listings Dataset Dataset Description This dataset contains real estate listings scraped from sa.aqar.fm, covering various regions in Saudi Arabia. It includes data for sales, rentals, and auctions. Total Records: 6,252 Date Collected: 30/12/2025 Source: Public listings on sa.aqar.fm File Structure The dataset is provided in CSV, JSON, and Notebook formats: aqar_fm_listings_cleaned.csv: The main dataset containing all… See the full description on the dataset page: https://huggingface.co/datasets/afaskar/Aqar.fm-Saudi-Real-Estate-Listings.

sourceHugging Facecc-by-4.0updated 9mo agoView on Hugging Face

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Dataset Card

Aqar.fm Saudi Real Estate Listings Dataset

Dataset Description

This dataset contains real estate listings scraped from sa.aqar.fm, covering various regions in Saudi Arabia. It includes data for sales, rentals, and auctions.

—Total Records: 6,252
—Date Collected: 30/12/2025
—Source: Public listings on sa.aqar.fm

File Structure

The dataset is provided in CSV, JSON, and Notebook formats:

—aqar_fm_listings_cleaned.csv: The main dataset containing all cleaned listings.
—aqar_fm_listings_sale_cleaned.csv: Subset containing only properties for sale.
—aqar_fm_listings_rental_cleaned.csv: Subset containing only properties for rent.
—aqar_fm_listings_auction_cleaned.csv: Subset containing only properties for auction.
—notebook.ipynb: A Jupyter notebook containing data exploration, preprocessing, and model training examples.

Columns

Column Name	Description
`id`	Unique identifier for the listing
`title`	Title of the listing
`url`	URL of the listing on aqar.fm
`price`	Price of the property (SAR)
`meter_price`	Price per square meter
`price_2_payments`, `price_4_payments`, `price_12_payments`	Installment payment options most likely
`rnpl_monthly_price`	Rent Now Pay Later monthly price most likely
`area_sqm`	Area in square meters
`deed_area`	Area as recorded in the deed
`num_bedrooms`, `num_bathrooms`, `num_living_rooms`, `num_kitchens`, `num_rooms`	Counts of various rooms
`floor_level`	Floor level of the property
`furnished`	Whether the property is furnished
`duplex`	Whether the property is a duplex
`ac`, `lift`, `maid_room`, `driver_room`, `pool`, `basement`, `backyard`, `playground`, `car_entrance`, `stairs`	Boolean flags for amenities
`water_availability`, `electrical_availability`, `drainage_availability`	Boolean flags for utilities
`private_roof`, `two_entrances`, `special_entrance`, `apartment_in_villa`	Boolean flags for specific features
`street_width`	Width of the street in meters
`direction`	Facing direction of the property
`city`, `district`, `address`	Location details
`latitude`, `longitude`	Geographic coordinates
`category_id`, `category_name`, `category_en`	Property category identifiers and names
`sale_type`	Type of sale (e.g., sale, rent, daily, auction)
`is_rental`, `is_sale`, `is_auction`, `is_daily_rental`	Boolean flags for listing type
`create_time`, `published_at`, `last_update`	Timestamps for the listing
`verified`, `boosted`, `premium`	Listing status flags
`has_img`, `has_video`	Whether the listing has images or videos
`ad_license_number`, `deed_number`, `rega_licensed`	Legal and licensing information
`plan_no`, `parcel_no`	Land planning details
`user_verified`, `company_name`, `user_paid_tier`	Advertiser information
`description`	Full text description of the property
`images`, `videos`	Lists of image and video URLs

Usage

This dataset is suitable for:

—Real estate price prediction models.
—Market analysis of the Saudi housing market.
—Geographic distribution analysis of properties.

Disclaimer

This dataset was collected for educational and research purposes. All rights to the original data belong to aqar.fm. Please respect their Terms of Service.