PropertyTop Web Scraper

Our pre-built Real estate listings data extractor lets you extract detailed property data from thousands of home listings for sale and rent from propertytop.com , quickly and easily without having to write any code.  .

• PropertyTop Data Extractor web scraper will extract all price and property listings information for individual listing. Each listing will be saved as an individual row in your data file. In each row you will also find a link to see the differences for each property listing.

This PropertyTop Data Extractor Web scraper will crawl propertytop.com listing pages and automatically extract data on all property lisiting pages . 

Simple to use and Free to try

A few mouse clicks and copy/paste is all that it takes!

How to use?

Firstly you will need to sign up for  FREE TRIAL account or be signed in

• Step 1: Click on "use for free"
• Step 2: Activate the Pre-Defined extractor by clicking "Activate button"
• Step 3: Enter your starter URLS

Enter List of search URLs to start the web scraping. It must be a category or search page url including querystring for filters.

What data you will get from propertytop.com?

Cost

This pre-defined web scraper is using regular bots to scrape product data. When you use PropertyTop Data Extractor pde cost will be 10 credits per row.

This pre-defined extractor is designed to scrape all detailed listings information from Propertytop.com .See red marked elements below for details that will be scrapped

What does the output data look like?

When it is available this data will have rows which represent a single page's information such as its bathrooms, bedrooms, built, community, description, en-suite-bathrooms, epc, garage, garbage, garden, ibi, image-1, image-10, image-11, image-12, image-13, image-14, image-15, image-16, image-17, image-18, image-2, image-3, image-4, image-5, image-6, image-7, image-8, image-9, interior, name, phone, plot, pool, price, reference, seller, seller-address, terrace, url, timestamp, etc from propertytop.com.

*** Data below was extracted on Feb 16, 2022 @19:19

Sorry we are unable to show you data for a while. Data would be ready today please visit this page later.