Dataset: Zameen.com Property Data Pakistan

About this Dataset

Zameen.com Property Data Pakistan

Context

The dataset consists of data that was scraped from Zameen.com website. It is Pakistani top leading property buy and sell platform.

Content

Geography: Pakistan

Time period: 01/2018 – 01/2018

Unit of analysis: Real states Data Analysis

Dataset: The dataset contains detailed information online data available on zameen.com website . It contains property_id,location_id,page_url property_type,price,location,city,province_name,latitude,longitude baths,area,purpose,bedrooms,date_added,agency and agent.

Variables: The dataset contain property_id,location_id,page_url,property_type,price,location,city,province_name,latitude,longitude baths,area,purpose,bedrooms,date_added,agency and agent.

Size: 43 MB

File Type: CSV

Inspiration

Rental yield
Price Prediction

Updated Scrapped data of 2021 are available at https://github.com/huzefakhan/Realstate-Data-set-2022-Zameen.com

Tables

Property

@kaggle.huzzefakhan_zameencom_property_data_pakistan.property

9.86 MB
191393 rows
17 columns


CREATE TABLE property (
  "property_id" BIGINT,
  "location_id" BIGINT,
  "page_url" VARCHAR,
  "property_type" VARCHAR,
  "price" BIGINT,
  "location" VARCHAR,
  "city" VARCHAR,
  "province_name" VARCHAR,
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "baths" BIGINT,
  "area" VARCHAR,
  "purpose" VARCHAR,
  "bedrooms" BIGINT,
  "date_added" VARCHAR,
  "agency" VARCHAR,
  "agent" VARCHAR
);

Property With Feature Engineering

@kaggle.huzzefakhan_zameencom_property_data_pakistan.property_with_feature_engineering

10.74 MB
191393 rows
24 columns


CREATE TABLE property_with_feature_engineering (
  "property_id" BIGINT,
  "location_id" BIGINT,
  "page_url" VARCHAR,
  "property_type" VARCHAR,
  "price" BIGINT,
  "price_bin" VARCHAR,
  "location" VARCHAR,
  "city" VARCHAR,
  "province_name" VARCHAR,
  "locality" VARCHAR,
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "baths" BIGINT,
  "area" VARCHAR,
  "area_marla" DOUBLE,
  "area_sqft" DOUBLE,
  "purpose" VARCHAR,
  "bedrooms" BIGINT,
  "date_added" VARCHAR,
  "year" BIGINT,
  "month" BIGINT,
  "day" BIGINT,
  "agency" VARCHAR,
  "agent" VARCHAR
);