Hostelworld guest review monitoring workflow
Created by
Stas Persiianenko
Monitor recent Hostelworld reviews across properties with an inclusive date cutoff for sentiment alerts, dashboards, and benchmarking.
Hostelworld Guest Reviews Scraperautomation-lab/hostelworld-guest-reviews-scraper
Property
Property URL
City
Country
+15 fieldsTextNumberBooleanListObject
Input
Hostelworld property URLs
url:https://www.hostelworld.com/hostels/p/88047/wombat-s-city-hostel-london/
Hostelworld property IDs:995
Maximum reviews per property:50
Maximum reviews for the run:100
Earliest stay date:2026-01-01
Output fields
Property
Property URL
City
Country
Property score
Available reviews
Review score
Stay date
Review
Reviewer
Reviewer country
Age band
Traveller type
Owner reply
Language
Translated
Review ID
Property ID
Scraped at
Sign up on Apify01
Create your Apify account to access the Hostelworld Guest Reviews Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
