Priceline Hotel Reviews Scraper

What does Priceline Hotel Reviews Scraper do?

Priceline Hotel Reviews Scraper collects guest review data from Priceline hotel pages into a structured, analysis-ready dataset. Provide a Priceline hotel URL, and the scraper returns reviewer details, traveler type, review text, positive and negative remarks, category scores, and total review counts. Built for hotel reputation research, competitive analysis, travel data monitoring, and customer experience analysis.

Why use Priceline Hotel Reviews Scraper?

• Reliable review dataset creation - Collect Priceline guest reviews without manual copy-paste. The scraper handles pagination, duplicate removal, and session recovery automatically.
• Automation-ready output - Export results to JSON, CSV, Excel, or XML. Schedule the scraper on Apify to track review sentiment weekly or monthly for any Priceline hotel.
• Flexible URL input - Start from any Priceline hotel URL. The scraper extracts the hotel ID automatically, including from URLs with dates, room options, tracking tags, query strings, or redirect wrappers.
• Structured sentiment data - Each review includes positive remarks, negative remarks, and category-level scores for cleanliness, staff, and location. Run sentiment analysis or classify recurring themes without parsing raw text.
• Automatic recovery - When Priceline challenges a request, the scraper rotates its request profile, refreshes the session context, and retries within a bounded limit instead of failing on the first block.

What data can you extract from Priceline?

Field	Description
review_id	Unique Priceline review identifier
review_date	Review date as shown on Priceline
reviewer_name	Reviewer display name
reviewer_location	Reviewer country or location code
traveler_type	Traveler category such as Solo, Couple, Family, or Group
review_text	General review description
positive_remark	Positive feedback highlighted by the reviewer
negative_remark	Negative feedback highlighted by the reviewer
score_overall	Overall review score
score_cleanliness	Cleanliness rating score
score_staff	Staff rating score
score_location	Location rating score
total_reviews	Total number of reviews for the hotel
review_summary_scores	Hotel-level summary scores across all categories

How to use Priceline Hotel Reviews Scraper

1. Open the Actor on Apify Store.
2. Keep the prefilled Priceline hotel URL or replace it with your own hotel URL.
3. Set the result limit, page cap, and optional sort order.
4. Run the Actor.
5. Download the dataset or connect it to your workflow through integrations.

Input Parameters

Parameter	Type	Required	Default	Description
hotelUrl	String	No	https://www.priceline.com/relax/at/326303	Priceline hotel URL. Messy URLs with dates, room options, tracking tags, query strings, or redirect wrappers are accepted
results_wanted	Integer	No	20	Maximum reviews to save
max_pages	Integer	No	5	Maximum review pages to request
sort	String	No	Priceline default	Optional review order: MOST_RECENT, HIGHEST_SCORE, or LOWEST_SCORE
proxyConfiguration	Object	No	Disabled	Optional proxy settings for reliable access

Output Data

Field	Type	Description
hotel_id	String	Priceline hotel ID
source_url	String	Source hotel URL used for the run
page	Number	Review page number in the request sequence
current_page	Number	Current page as reported by Priceline
total_pages	Number	Total review pages available
review_id	String	Unique review ID
review_date	String	Review date
reviewer_name	String	Reviewer display name
reviewer_location	String	Reviewer country or location code
traveler_type	String	Traveler category label
traveler_type_code	String	Traveler category code
review_text	String	General review text
positive_remark	String	Positive feedback from the reviewer
negative_remark	String	Negative feedback from the reviewer
score_overall	Number	Overall review score
score_cleanliness	Number	Cleanliness score
score_staff	Number	Staff score
score_location	Number	Location score
review_scores	Array	Detailed score objects with type, label, and score
total_reviews	Number	Total available reviews for the hotel
review_summary	String	Total review count label
review_summary_count	Number	Numeric review summary count
review_summary_scores	Object	Hotel-level summary scores by category
available_sort_options	Array	Sort options available on Priceline for the hotel
available_filters	Array	Review filter groups and their options

Usage Examples

Basic Collection by Hotel URL

Collect 20 reviews from a Priceline hotel by providing the full hotel page URL:

{
  "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1",
  "results_wanted": 20
}

Messy URL with Dates and Tracking Tags

Paste the URL exactly as it appears in your browser. Dates, room options, extra query parameters, tracking tags, and redirect wrappers are ignored when the hotel ID is resolved:

{
  "hotelUrl": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1/adults/2?hotelId=326303&vrid=2af9fb11ff31fc1a4170ac6a891116da&utm_source=google",
  "results_wanted": 50,
  "max_pages": 5
}

Larger Review Collection

Collect 100 reviews across 10 pages for deeper analysis:

{
  "hotelUrl": "https://www.priceline.com/relax/at/326303",
  "results_wanted": 100,
  "max_pages": 10
}

Sample Output

{
  "hotel_id": "326303",
  "source_url": "https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1",
  "page": 1,
  "current_page": 1,
  "total_pages": 267,
  "review_id": "5299215231",
  "review_date": "Jun 2026",
  "reviewer_name": "Minnie",
  "reviewer_location": "ph",
  "traveler_type": "Group Traveler",
  "traveler_type_code": "GROUP",
  "review_text": "Decent hotel but a little bit old and needs some update.",
  "positive_remark": "Location",
  "negative_remark": "During check-in: felt mocked by staff.",
  "score_overall": 6,
  "score_cleanliness": 7,
  "score_staff": 8,
  "score_location": 8,
  "review_scores": [
    {
      "type": "CLEANLINESS",
      "score": "7",
      "label": "Cleanliness"
    }
  ],
  "total_reviews": 2668,
  "review_summary": "5,108 Reviews",
  "review_summary_count": 5108,
  "review_summary_scores": {
    "cleanliness": {
      "score": 7.3,
      "label": "Cleanliness"
    }
  }
}

Tips for Best Results

• Start with results_wanted: 20 for test runs. Check if the hotel has enough reviews before scaling up.
• Paste the full Priceline hotel URL from your browser. The scraper extracts the hotel ID from /relax/at/, hotel or property paths, query parameters, redirect wrappers, and slugged URLs.
• Raise max_pages when collecting larger datasets. The scraper fetches pages until your target count is reached or Priceline has no more review pages.
• Some fields may be empty when Priceline does not publish that information for a specific review. This is normal and not a scraper issue.
• Omit sort to use Priceline's default order, or use MOST_RECENT, HIGHEST_SCORE, or LOWEST_SCORE.

Integrations

• Google Sheets - Import review scores and feedback for reporting.
• Airtable - Build searchable review databases by hotel or traveler type.
• Make - Create automated sentiment tracking workflows.
• Zapier - Trigger alerts when new reviews are collected.
• Webhooks - Send results to custom downstream systems.
• API - Access datasets programmatically from your own applications.

Export Formats

• JSON - For data pipelines and API consumption.
• CSV - For spreadsheet analysis.
• Excel - For business reporting.
• XML - For system integrations.

Frequently Asked Questions

Can I pass just a hotel ID?

No. Provide the full Priceline hotel URL. The scraper extracts the hotel ID from the URL automatically, including from short, dated, slugged, tracked, or redirected URLs.

Does the scraper collect all reviews for a hotel?

It collects reviews up to your results_wanted and max_pages limits. The total available reviews are reported in the total_reviews field.

Can I collect reviews from multiple hotels in one run?

Each run handles one hotel. Run the scraper separately for each hotel to keep datasets clearly separated.

Why are some fields missing in the output?

Fields are omitted when Priceline does not provide a value for that specific review. For example, not all reviewers leave positive or negative remarks.

What URL formats are supported?

Any Priceline hotel URL is supported. The scraper finds the hotel ID in:

• Short URLs such as https://www.priceline.com/relax/at/326303
• Dated URLs such as https://www.priceline.com/relax/at/326303/from/20260716/to/20260801/rooms/1
• URLs with room, adult, or child options
• URLs with query strings, tracking tags, vrid, refid, cid, utm_*, or gclid
• URLs with a hotel slug, such as /relax/at/hotel-name/326303
• Hotel, property, stay, accommodation, reservation, and detail paths
• Hash routes and hash query strings
• Google, Facebook, DuckDuckGo, and generic redirect wrappers
• URLs without a scheme, with extra whitespace, quotes, brackets, or trailing punctuation

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats from the Apify Console.

What happens if Priceline temporarily blocks a request?

The scraper automatically rotates its request profile, refreshes the hotel session context, and retries with a bounded backoff. If a later page still fails, the reviews already saved are kept and the run ends with a warning instead of losing the dataset.

Can I run this Actor on a schedule?

Yes. You can schedule the Actor in Apify Console to refresh review data hourly, daily, weekly, or at another interval.

Is this Actor suitable for non-technical users?

Yes. The Actor can be run from Apify Console with form-based inputs, and the output can be downloaded without writing code.

Related Actors

• Priceline Hotels Scraper - Collect hotel listings, prices, ratings, and amenities from Priceline search pages.
• Tripadvisor Hotels Scraper - Extract hotel data including reviews, ratings, prices, and amenities from Tripadvisor.
• Trip.com Hotels Scraper - Extract hotel listings, prices, and reviews from Trip.com globally.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available Priceline hotel review pages. Users are responsible for complying with applicable laws, Priceline's terms of service, and privacy rules. Use data responsibly and respect rate limits.