Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)
# | table_id |
id |
title |
content |
operation_type |
publication_date |
publisher_name |
publisher_type |
num_photos |
url_images |
property_type |
source_type |
source_partner_id |
source_listing_url |
lat |
lon |
approximate_address |
currency |
asking_price |
m2_built |
m2_terrain |
m2_balconies |
year_built |
apt_floor |
no_bedrooms |
no_full_bathrooms |
no_half_bathrooms |
no_parking_spaces |
street_name |
ext_number |
int_number |
neighborhood |
zip_code |
del_mun |
city |
state |
country |
m2_rooftop |
m2_terraces |
maintenance_fee |
city_area |
region |
status |
date_scraped |
amenidades |
phone_number |
contact_email |
image_flag |
image_path |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
table_id
|
Integer | 38576812 | |
id
|
Integer | 28242273 | |
title
|
String | Zamora 75 #75Int. B11, Col. Condesa C.P. 06140, Cuauhtémoc | |
content
|
String | Excelente Departamento Ubicado en Zamora 75 de la Colonia... | |
operation_type
|
String | Venta | |
publication_date
|
DateTime | 2023-09-07T02:25:51+00:00 | |
publisher_name
|
String | Gustavo Corrales | |
publisher_type
|
String | undefined | |
num_photos
|
Integer | 22 | |
url_images
|
String | https://propiedadescom.s3.amazonaws.com/files/original/aa... | |
property_type
|
String | Departamento | |
source_type
|
String | PROPIEDADES.COM | |
source_partner_id
|
|||
source_listing_url
|
String | https://propiedades.com/inmuebles/departamento-en-venta-z... | |
lat
|
Float | 19.4169576 | |
lon
|
Float | -99.1780848 | |
approximate_address
|
String | Zamora 75 #75Int. B11, Col. Condesa C.P. 06140, Cuauhtémoc | |
currency
|
String | MXN | |
asking_price
|
Integer | 10000000 | |
m2_built
|
Integer | 148 | |
m2_terrain
|
|||
m2_balconies
|
|||
year_built
|
Integer | 2016 | |
apt_floor
|
Integer | 2 | |
no_bedrooms
|
Integer | 2 | |
no_full_bathrooms
|
Integer | 3 | |
no_half_bathrooms
|
|||
no_parking_spaces
|
Integer | 2 | |
street_name
|
String | Zamora 75 | |
ext_number
|
|||
int_number
|
|||
neighborhood
|
String | Condesa | |
zip_code
|
Integer | 3168 | |
del_mun
|
String | Cuauhtémoc | |
city
|
String | Cuauhtémoc | |
state
|
String | DF / CDMX | |
country
|
String | Mexico | |
m2_rooftop
|
|||
m2_terraces
|
|||
maintenance_fee
|
|||
city_area
|
String | Condesa | |
region
|
String | DF / CDMX | |
status
|
Integer | 2 | |
date_scraped
|
DateTime | 2024-08-01T16:09:05+00:00 | |
amenidades
|
String | {"cistern": true, "elevator": true, "in_private": true, "... | |
phone_number
|
Integer | ||
contact_email
|
|||
image_flag
|
Integer | 1 | |
image_path
|
String | ['images/propiedades/28242273/image_0', 'images/propiedad... |
Description
Country Coverage
Volume
150,000 | records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$3,000 / purchase |
Monthly License |
$300 / month |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)?
Access 150K+ property listings from 4 top real estate platforms in Mexico. Detailed pricing, geolocation, and amenities data for comprehensive market analysis. Ideal for real estate investment, market research, and urban planning. High-quality, updated data from diverse sources.
What is Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024) used for?
This product has 5 key use cases. AutoScraping recommends using the data for Real Estate Analytics, Real Estate Investment, Real Estate Agencies, Real Estate Intelligence, and Real Estate Insights. Global businesses and organizations buy Residential Real Estate Data from AutoScraping to fuel their analytics and enrichment.
Who can use Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Residential Real Estate Data. Get in touch with AutoScraping to see what their data can do for your business and find out which integrations they provide.
Which countries does Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024) cover?
This product includes data covering 1 country like Mexico. AutoScraping is headquartered in Argentina.
How much does Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024) cost?
Pricing for Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024) starts at USD300 per month. Connect with AutoScraping to get a quote and arrange custom pricing models based on your data requirements.
How can I get Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)?
Depending on your data requirements and subscription budget, AutoScraping can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)?
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What are similar products to Mexico Real Estate Data: 150K+ Property Listings from 5 Major Platforms - Comprehensive Pricing, Geolocation, and Amenities (2024)?
This product has 3 related products. These alternatives include Latin America Real Estate Listings: 100K+ Properties with Geolocation, Pricing, and Detailed Metadata (2024), CompCurve Residential Real Estate Data Active For Sale By Owner - FSBO Listings Bulk 40-60k Properties, and Real Estate Listings Data Real Estate Valuation Data. You can compare the best Residential Real Estate Data providers and products via Datarade’s data marketplace and get the right data for your use case.