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Audit New Hostel Listings for Early Signals

Capture first-review signals from newer hostels to spot emerging inventory before competitors do.

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Hostelworld Reviews Scraper
Hostelworld Reviews Scraperknagymate/hostelworld-reviews-scraper
Record type
Review id
Review date
Reviewer name
+7 fields
Text
Number
Boolean
List
Object

Input

Hostel URLs(required)
url:https://www.hostelworld.com/hostels/p/325352/north-star-hostel/+2
Maximum number of reviews per hostel:25
Cutoff date:2025-01-01
Always return a summary:true

Output fields

Record type
Review id
Review date
Reviewer name
Reviewer country
Reviewer group type
Reviewer age range
Reviewer comment
Hotelier comment
Ratings
Hotel summary

How it works

Sign up on Apify or log in

The Hostelworld Reviews Scraper Actor is ready to run with the inputs already set for "Audit New Hostel Listings for Early Signals". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Audit New Hostel Listings for Early Signals" task

The Hostelworld Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like hostel urls, maximum number of reviews per hostel, and more, to match your specific use case.

Receive the "Audit New Hostel Listings for Early Signals" 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 record type, review id, review date, 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 "Audit New Hostel Listings for Early Signals" task via API.

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Integrate "Audit New Hostel Listings for Early Signals" into your workflow

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