Sydney University Living Scraper Task

Created by

ActorFlow

Actor

University Living Housing Scraper [💰$1/1000 results]

Scrapes public student-housing listings and property detail pages (address, prices, amenities, ratings, images) from universityliving.com in Sydney city.

Try for free

University Living Housing Scraper [💰$1/1000 results]confidential_gnat/universityliving-housing-scraper

Name

Property URL

Description

Street address

+20 fields

Input

Start URLs(required)

url:https://www.universityliving.com/united-kingdom/city/nottingham

Caching Dataset - For Deduplication:august-monthly-run

Scrape all properties from the sitemap:false

Proxy configuration:{2 fields}

Max Results per start URL:3

Output fields

Name

Property URL

Description

Street address

City / locality

Postal code

Country code

Latitude

Longitude

Telephone

Price currency

Lowest price in the displayed range

Highest price in the displayed range

Lowest weekly price

Weekly room prices

Display price

Rating value

Rating count

Review count

Featured image

Images (property + all rooms)

Image count

Rooms

Amenities

How it works

Sign up on Apify or log in

The University Living Housing Scraper [💰$1/1000 results] Actor is ready to run with the inputs already set for "Sydney University Living Scraper Task". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Sydney University Living Scraper Task" task

The University Living Housing Scraper [💰$1/1000 results] Actor will start running based on the input automatically. You can also change all the input fields, like start urls, caching dataset - for deduplication, and more, to match your specific use case.

Receive the "Sydney University Living Scraper Task" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, property url, description, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Sydney University Living Scraper Task" task via API.