Kayak Hotel Reviews Scraper

Extract hotel guest reviews from Kayak hotel detail pages in a clean, analysis-ready format. Collect review scores, sentiment text, source details, and author metadata at scale. Built for travel research, reputation tracking, and hospitality intelligence workflows.

Features

• Review Collection at Scale — Collect large review batches with configurable result limits.
• Rich Review Fields — Capture scores, rating labels, positive and negative comments, author, and source.
• Pagination Support — Automatically retrieves additional review batches until your target count is reached.
• Automatic URL Detection — Detects hotel identity from long and short Kayak hotel URL formats.
• Clean Dataset Output — Removes empty fields to keep exports compact and usable.

Use Cases

Reputation Monitoring

Track how guest sentiment changes over time for a specific property. Analyze rating shifts and recurring comment patterns.

Competitor Benchmarking

Collect review data from multiple hotels to compare quality signals, reviewer sentiment, and source distribution.

Hospitality Analytics

Feed review-level data into BI dashboards for score trends, complaint analysis, and category-level insights.

Travel Content Research

Use authentic guest feedback to support travel guides, destination comparisons, and accommodation recommendations.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	From INPUT.json	Full Kayak hotel details URL.
results_wanted	Integer	No	20	Maximum number of reviews to collect.
page_size	Integer	No	10	Number of reviews requested per batch.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy settings.

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Output Data

Each dataset item contains:

Field	Type	Description
review_index	Integer	Order of review in collected output
hotel_id	String	Kayak hotel ID
hotel_name	String	Hotel name from URL
hotel_url	String	Kayak hotel details URL
total_reviews_available	Integer	Total review count available
review_id	String	Unique review identifier
score	Number	Numeric review score
localized_score	Number	Localized score value
rating_category	String	Localized rating category
review_month_year	String	Month and year of review
author	String	Review author
positive_comment	String	Positive feedback text
negative_comment	String	Negative feedback text
review_source	String	Review provider name
review_source_logo_url	String	Provider logo URL
review_link	String	Source review URL
is_internal_review	Boolean	Internal review flag
sort_type	String	Sort mode used
scraped_at	String	ISO timestamp when record was saved

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Usage Examples

Basic Review Extraction

{
    "startUrl": "https://www.kayak.com/hotels/Hilton-London-Gatwick-Airport,Gatwick-p492403-h54545-details/",
    "results_wanted": 20
}

Higher Volume Collection

{
    "startUrl": "https://www.kayak.com/hotels/Hilton-London-Gatwick-Airport,Gatwick-p492403-h54545-details/",
    "results_wanted": 200,
    "page_size": 10
}

Minimal Input (Uses INPUT.json Fallback if URL Missing)

{
    "results_wanted": 20
}

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Sample Output

{
    "review_index": 1,
    "hotel_id": "54545",
    "hotel_name": "Hilton London Gatwick Airport",
    "hotel_url": "https://www.kayak.com/hotels/Hilton-London-Gatwick-Airport,Gatwick-p492403-h54545-details/",
    "total_reviews_available": 9014,
    "review_id": "94fhNp0BOkHXFcMyc0Uk",
    "score": 40,
    "localized_score": 40,
    "rating_category": "Okay",
    "review_month_year": "Mar 2026",
    "author": "Herbst",
    "positive_comment": "The restaurant that serves breakfast good.",
    "negative_comment": "Arriving and receptionist was incompetent. We were tired and it took ages.",
    "review_source": "Booking.com",
    "review_source_logo_url": "https://www.kayak.com/provider-logos/hotels/reviews/h/bookingLogo.png",
    "review_link": "https://www.kayak.com/out?...",
    "is_internal_review": false,
    "sort_type": "recent",
    "scraped_at": "2026-04-05T12:30:00.000Z"
}

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Tips for Best Results

Use Valid Hotel Detail URLs

• Start from a full Kayak hotel details page URL.
• Keep the URL format intact, including the hotel identifier segment.

Start Small, Then Scale

• Begin with results_wanted: 20 to validate quickly.
• Increase gradually for large research runs.

Keep Filters Focused

• Use narrow filters when analyzing specific traveler segments.
• Leave filters blank to collect broad review coverage.

Improve Stability

• Enable proxy settings for repeated or larger runs.
• Re-run with adjusted filters if returned volume is lower than expected.

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Integrations

Connect your output to:

• Google Sheets — Review tracking and score analysis
• Airtable — Searchable review databases
• Looker Studio — Hospitality dashboards
• Webhooks — Push new data into internal systems
• Make — Workflow automation
• Zapier — App-to-app integrations

Export Formats

• JSON — Data pipelines and applications
• CSV — Spreadsheet workflows
• Excel — Business reporting
• XML — System integrations

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Frequently Asked Questions

Why did I receive fewer reviews than requested?

Available review volume depends on the hotel and applied filters. Reduce filter strictness or run with a higher limit.

Can I scrape reviews from any Kayak hotel page?

Yes, as long as you provide a valid Kayak hotel details URL.

Can I collect reviews from specific sources only?

The actor uses a built-in provider mix to keep output consistent.

Is duplicate data removed?

Yes. The actor de-duplicates reviews by review ID during a run.

Are empty fields included in output?

No. Empty values are removed for cleaner datasets.

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Support

For issues or feature requests, use the actor support channel in Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and analysis. Users are responsible for ensuring compliance with applicable laws and website terms. Use responsibly and apply reasonable request volumes.