Priceline Hotel Details & Reviews Scraper

Priceline Hotel Data Scraper

A fast API-based scraper that extracts structured hotel data from Priceline.com — guest ratings, category scores (cleanliness, location, staff), reviews, full descriptions, GPS coordinates, and neighborhood data. Search hotels across 107 major cities worldwide or scrape specific hotel URLs. Outputs comprehensive hotel profiles including overall guest scores, star ratings, review counts, detailed location breakdowns with latitude/longitude, and guest review text with pros/cons. Technical capabilities include city-wide search with star and score filters, direct URL and ID scraping, automatic language detection for descriptions, and structured JSON output ready for analysis and export to CSV or Excel.

Use cases

• 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

How to use

1. Go to the actor's input page on Apify Console
2. Choose your input method (URLs, IDs, or city search)
3. Click Start and wait for results
4. Download your data as JSON, CSV, or Excel from the Output tab

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 the City Search mode to discover hotels automatically.

Input

The actor supports three input modes:

1. Hotel URLs (default)

Provide one or more Priceline hotel page URLs:

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

2. Hotel IDs

Provide Priceline hotel IDs directly:

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

3. City search

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 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

Without inputType, the actor auto-detects from hotelUrls or hotelIds.

Output

The actor produces one JSON object per hotel in the default dataset. Each object contains the complete hotel profile.

What data can you extract?

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

Sample output

{
  "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": [],
  "scrapedAt": "2026-04-25T11:28:45.228Z",
  "dataVersion": "0.4.0"
}

Output fields

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"
}

Cost of usage

The actor 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.

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

Integrations

Connect this actor to your workflow:

• API — Call the actor from any language using the Apify REST API
• JavaScript / Python — 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

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?

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?

The actor 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 the actor 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.

Support

• Issues & feature requests — GitHub Issues
• Custom solutions — Contact us for tailored hotel data extraction

This actor extracts publicly accessible data from Priceline. Use responsibly and in accordance with applicable laws and terms of service.