Скачать или смотреть How to Scrape Student Housing Data from Student.com (Tutorial)

In this video, I walk through how to use the Student.com Accommodation Scraper on Apify to collect clean, structured student housing data without manual browsing.

This actor lets you scrape Student.com in two ways:
– Run a full filtered crawl across a city to analyze inventory, pricing, amenities, and room types
– Or plug in a single property URL to extract a detailed, room-level profile instantly

You’ll see how to configure filters, how pagination is handled automatically, and how the actor enforces deterministic runs when using direct property URLs.

The output is a business-ready dataset with pricing, availability, amenities, commute insights, booking signals, room matrices, media assets, and freshness timestamps. Results can be exported to CSV, Excel, JSON, or fed directly into dashboards and BI tools.

This is useful for student housing operators, PBSA investors, market analysts, relocation services, and proptech data teams that need reliable Student.com supply intelligence at scale.

No scraping scripts. No spreadsheets. Just point, click, and run.

Apify page: https://apify.com/parseforge/student-...