Priceline Hotel Reviews Scraper

Extract hotel reviews from Priceline.com — review text with pros/cons, individual ratings, and reviewer info. Also get guest scores, category ratings (cleanliness, location, staff), hotel descriptions, GPS coordinates, and neighborhood data. Search 107 major cities worldwide or scrape specific hotel URLs and IDs. Fast HTTP-based extraction with JSON, CSV, or Excel export.

What can this scraper do?

• Guest reviews — review text with pros/cons, reviewer info, and individual ratings per review
• Guest scores — overall score, cleanliness, location, staff, and more on a 0–10 scale
• Hotel profiles — star ratings, descriptions, and full address with GPS coordinates
• City search — discover hotels across 107 cities in 48 countries with star and score filters
• Flexible input — scrape by URL, hotel ID, or city name
• No browser required — fast API-based extraction, lightweight on resources
• Structured output — JSON, CSV, or Excel, ready for analysis and integrations
• Automatic scheduling — run on any interval via the Apify platform to track metrics over time
• API access — integrate results into any workflow via REST API, webhooks, or client libraries

Quick start — get results in 60 seconds

1. Click Try for free to open the scraper in Apify Console
2. Choose your input method — URLs, Hotel IDs, or City Search
3. Click Start and wait for results (3–5 seconds per hotel)
4. Download your data as JSON, CSV, or Excel from the Output tab

No configuration required — the default settings work out of the box.

Finding hotel IDs

The hotel ID is the number at the end of any Priceline hotel URL:

https://www.priceline.com/relax/at/71741505
                                     ^^^^^^^^
                                     Hotel ID: 71741505

You can also use City Search mode to discover hotels automatically without knowing their IDs.

Why scrape Priceline hotel data?

• Competitive analysis — Compare guest ratings and category scores across competing hotels in any market
• Market research — Analyze guest satisfaction trends by city, neighborhood, or hotel class across 107 cities
• Investment due diligence — Assess hotel reputation and review sentiment before acquisition decisions
• Travel aggregation — Build hotel comparison tools with structured Priceline data and GPS coordinates
• Revenue management — Track competitor ratings and review volumes to inform pricing strategy
• Academic research — Study hospitality patterns using structured rating and review datasets
• Location intelligence — Map hotel quality by neighborhood using GPS coordinates and scores

Input configuration

This scraper supports three input modes:

Hotel URLs (default) — scrape specific Priceline hotel pages

Provide one or more Priceline hotel page URLs:

{
  "hotelUrls": [
    "https://www.priceline.com/relax/at/71741505",
    "https://www.priceline.com/relax/at/700363886"
  ]
}

The actor extracts the hotel ID from each URL automatically. Without inputType, it auto-detects this mode when hotelUrls is provided.

Hotel IDs — scrape by numeric Priceline hotel identifier

Provide Priceline hotel IDs directly:

{
  "inputType": "ids",
  "hotelIds": ["71741505", "700363886"]
}

City Search — discover and scrape all hotels in a city

Search all hotels in a city with optional filters:

{
  "inputType": "city",
  "searchCity": "Paris",
  "maxHotels": 50,
  "minStars": 4,
  "minScore": 8
}

107 cities available across 48 countries — from New York and London to Tokyo, Dubai, and Buenos Aires. Use the dropdown in the Apify Console for the full list.

Input parameters reference

Field	Type	Description	Default
inputType	string	Input mode: urls, ids, or city	urls
hotelUrls	string[]	Priceline hotel page URLs	—
hotelIds	string[]	Priceline hotel IDs (numbers)	—
searchCity	string	City name for hotel search (107 cities)	—
maxHotels	integer	Max hotels to extract from city search	100
minStars	integer	Min star rating filter for city search (0–5)	0
minScore	number	Min guest score filter for city search (0–10)	0
maxReviewsPerHotel	integer	Max reviews to collect per hotel (0 = all)	100
checkIn	string	Check-in date (YYYY-MM-DD)	Tomorrow
checkOut	string	Check-out date (YYYY-MM-DD)	Day after tomorrow

What data can you extract from Priceline?

This scraper produces one JSON object per hotel in the default dataset. Each object contains the complete hotel profile with ratings, reviews, and location data.

Data Point	Example
Hotel name & star rating	Doubletree By Hilton, 4 stars
Overall guest score (0–10)	7.0 / 10 (Good)
Category ratings	Cleanliness 7.4, Location 8.5, Staff 7.6
Total review count	6,008 reviews
Full hotel description	Multi-paragraph hotel description
Description language	Detected automatically (en, fr, de, es, zh, ja, ko)
Street address	350 West 40th Street
City, state, country	New York, NY, US
Neighborhood	Times Square - Theatre District
GPS coordinates	40.757, -73.993
Guest reviews	Review text, rating, reviewer name, pros/cons
Extraction timestamp	ISO 8601 timestamp

Output example

{
  "hotelId": "71741505",
  "name": "Doubletree By Hilton New York Times Square West",
  "url": "https://www.priceline.com/relax/at/71741505",
  "starLevel": 4,
  "description": "The DoubleTree by Hilton Hotel New York – Times Square West is within 0.9 mi of Times Square...",
  "descriptionLanguage": "en",
  "ratings": {
    "overallScore": 7,
    "totalReviewCount": 6008,
    "ratingLabel": "Good",
    "categories": {
      "overall": 6.9,
      "cleanliness": 7.4,
      "location": 8.5,
      "staff": 7.6,
      "comfort": null,
      "valueForMoney": null
    }
  },
  "location": {
    "address": "350 West 40th Street",
    "city": "New York",
    "state": "NY",
    "countryCode": "US",
    "neighborhood": "Times Square - Theatre District",
    "latitude": 40.75680164,
    "longitude": -73.99306987
  },
  "reviews": [
    {
      "text": "Great location, very close to Times Square and Broadway theaters.",
      "rating": 8,
      "reviewer": "John D.",
      "pros": "Location, friendly staff",
      "cons": "Room size"
    }
  ],
  "scrapedAt": "2026-04-25T11:28:45.228Z",
  "dataVersion": "0.4.0"
}

Output fields reference

Field	Type	Description
hotelId	string	Unique Priceline hotel identifier
name	string	Hotel name
url	string	Priceline hotel page URL
starLevel	number	Star classification (1–5)
description	string	Full hotel description text
descriptionLanguage	string	Detected language code (en, fr, de, es, zh, ja, ko)
ratings.overallScore	number	Overall guest score (0–10 scale)
ratings.totalReviewCount	number	Total number of guest reviews
ratings.ratingLabel	string	Rating label: Excellent, Very Good, Good, Fair, or Poor
ratings.categories	object	Category scores: cleanliness, location, staff, overall
location	object	Full address, city, state, country, neighborhood
location.latitude	number	GPS latitude coordinate
location.longitude	number	GPS longitude coordinate
reviews	array	Guest reviews with text, rating, reviewer info, pros/cons
scrapedAt	string	ISO 8601 extraction timestamp
dataVersion	string	Data schema version

Error records

If a hotel fails to extract, an error record is added to the dataset instead:

{
  "error": true,
  "errorMessage": "Fetch failed after 3 retries",
  "errorType": "ExtractionError",
  "hotelUrl": "https://www.priceline.com/relax/at/123",
  "timestamp": "2026-04-25T11:28:45.228Z"
}

You are not charged for failed extractions.

How much does it cost to scrape Priceline?

This scraper uses pay-per-event pricing — you only pay for successful extractions:

Event	Cost
Successful hotel extraction	$0.005 per hotel
Failed extraction	Free
Incomplete data (validation error)	Free
City search (listing page)	Free

Platform compute costs are minimal — a typical run uses ~0.001 compute units.

With the Apify Free plan, you get $5 free usage credits each month — enough to scrape up to 1,000 hotels for free. The $49/month Scale plan gives you $49 of platform credits, letting you scrape up to 9,800 hotels every month.

Cost estimates

Scenario	Hotels	Cost
Single hotel lookup	1	$0.005
Small batch	10	$0.05
City research (top 50)	50	$0.25
Full city scan	100	$0.50

Which Priceline scraper should I use?

Need	Best actor	What it does
Hotel reviews, ratings & details	Priceline Hotel Reviews Scraper (this one)	Guest reviews, scores, category ratings, GPS, descriptions
Live hotel prices & deals	Priceline Hotel Prices Scraper	Search by destination and dates, get prices, amenities, availability

Tip: Use the Live Prices scraper to find hotels and compare rates, then use this scraper to get in-depth guest reviews and ratings for your shortlisted hotels.

Integrations and API access

The Apify platform provides built-in monitoring, scheduling, and integrations for all actors:

• REST API — Call the actor programmatically from any language
• JavaScript client / Python client — Use the official Apify client libraries
• Zapier / Make / n8n — Automate data collection with no-code platforms
• Google Sheets — Export results directly to a spreadsheet
• Webhooks — Get notified when a run completes
• Scheduling — Run on any interval (daily, weekly, monthly) to track hotel metrics over time

You can also access results programmatically via the dataset API endpoint to integrate Priceline hotel data into your existing data pipeline.

FAQ

How do I find Priceline hotel IDs?

The hotel ID is the number at the end of any Priceline hotel URL: priceline.com/relax/at/{hotelId}. You can also use City Search mode to discover hotels automatically without knowing their IDs.

Which cities are supported for hotel search?

107 cities across 48 countries. The full list includes major destinations across North America, Europe, Asia, Middle East, Africa, South America, and Oceania. Use the dropdown in the Apify Console to browse available cities.

What category ratings are available?

This scraper extracts Cleanliness, Location, Staff, and Overall Quality scores on a 0–10 scale. Comfort and Value for Money are included in the schema but may be null depending on what Priceline returns for a given hotel.

How fast is the extraction?

Each hotel takes approximately 3–5 seconds. A batch of 10 hotels completes in under a minute. City search adds ~15 seconds for the listing page.

What happens if a hotel page is unavailable?

The actor logs the error and pushes an error record to the dataset. Other hotels in the batch continue processing normally. You are not charged for failed extractions.

Can I schedule recurring runs?

Yes. Use Apify Schedules to run this scraper on any interval (daily, weekly, etc.) and track hotel metrics over time.

What export formats are available?

JSON, CSV, Excel, XML, and RSS. You can also access results via the Apify API or connect to Google Sheets for automatic updates.

Can I use this scraper via MCP?

Yes. Connect to mcp.apify.com and add the Priceline Hotel Reviews Scraper as a tool for AI assistants like Claude, ChatGPT, or Cursor. See the MCP tab on the Actor page for setup instructions.

Does Priceline have an official API?

Priceline does not offer a public API for hotel reviews and ratings. This scraper extracts the same publicly visible data that any visitor sees on Priceline.com, structured for programmatic use.

Is it legal to scrape Priceline?

This scraper extracts publicly accessible data that any visitor can see on Priceline.com. It does not bypass any login, paywall, or access restriction. No personal data is collected — only hotel profiles, guest reviews, and ratings that Priceline displays publicly.

Always use web scraping responsibly and in accordance with applicable laws, regulations, and Priceline's terms of service. If you are unsure about your use case, consult legal counsel.

For more information, see Apify's guide on the legality of web scraping.

Support and feedback

• Issues & feature requests — Open an issue on the Issues tab in Apify Console
• Custom solutions — Contact us for tailored hotel data extraction workflows
• Bug reports — Include your run ID and input configuration for fastest resolution