Priceline Hotel Scraper

Scrape hotel listings from Priceline.com and extract structured data including prices, guest ratings, amenities, star levels, and deals. No login or API key required from Priceline — just provide a destination and travel dates.

What does this scraper do?

Priceline Hotel Scraper searches Priceline.com like a regular user and extracts all visible hotel information from the search results page. It returns clean, structured JSON data ready for analysis, price monitoring, or integration into your travel workflow.

Use it to:

• Compare hotel prices across destinations and date ranges
• Monitor price drops by scheduling periodic runs
• Build travel datasets for research or analytics
• Power booking tools with real-time Priceline data
• Track competitor pricing for hospitality businesses

What data can you extract?

Each hotel listing includes the following fields:

Field	Description	Example
name	Hotel name	"The Plaza Hotel"
url	Direct Priceline link	https://www.priceline.com/relax/at/700012345
neighborhood	Area or district	"Midtown West"
starLevel	Star rating (1-5)	4
guestRating	Guest score (0-10)	8.8
reviewCount	Number of reviews	2451
ratingCategory	Rating label	"Excellent"
pricePerNight	Nightly rate	189
originalPrice	Price before discount	245
totalPrice	Total stay cost	567
currency	Price currency (converted if selected)	"EUR"
originalCurrency	Currency before conversion	"USD"
exchangeRate	Exchange rate used	0.92
discount	Savings amount	"$56 Off"
amenities	Hotel amenities	["Free Internet Access", "Restaurant", ...]
highlights	Booking perks	["Free Cancellation", "Pay Later Available"]
tags	Priceline badges	["Top Booked", "Luxury"]
imageUrl	Hotel photo URL	https://...
checkIn / checkOut	Search dates	"2026-05-15"

How to scrape Priceline hotels

1. Go to the Priceline Hotel Scraper page on Apify Store.
2. Click Try for free.
3. Enter your destination (e.g. "New York, NY", "Paris, France").
4. Select your check-in and check-out dates using the day, month, and year dropdowns.
5. Optionally adjust rooms, adults, filters (star level, guest rating, price range) and sort order.
6. Click Start.
7. When the run finishes, download your results as JSON, CSV, or Excel from the Dataset tab.

Input configuration

Parameter	Type	Default	Description
destination	string	—	City or area name (required)
checkInDay	select	15	Check-in day (1-31)
checkInMonth	select	May	Check-in month (January-December)
checkInYear	select	2026	Check-in year (2026-2035)
checkOutDay	select	18	Check-out day (1-31)
checkOutMonth	select	May	Check-out month (January-December)
checkOutYear	select	2026	Check-out year (2026-2035)
rooms	integer	1	Number of rooms (1-9)
adults	integer	2	Adults per room (1-9)
hotelStarLevel	select	Any	Minimum star rating (2+, 3+, 4+, 5)
guestRating	select	Any	Minimum guest rating (6+, 7+, 8+, 9+)
priceMin	integer	—	Minimum price per night (in selected currency)
priceMax	integer	—	Maximum price per night (in selected currency)
currency	select	As Scraped	Target currency for prices (USD, EUR, GBP, CAD, CHF, AUD, JPY, CNY, INR, BRL, MXN, SEK, NOK, DKK)
sortBy	select	Recommended	Sort order (Price Low/High, Guest Rating, Star Rating)
maxResults	integer	50	Maximum hotels to return (1-500)

Input example

{
  "destination": "New York, NY",
  "checkInDay": "20",
  "checkInMonth": "6",
  "checkInYear": "2026",
  "checkOutDay": "23",
  "checkOutMonth": "6",
  "checkOutYear": "2026",
  "rooms": 1,
  "adults": 2,
  "hotelStarLevel": "4",
  "sortBy": "price_low",
  "maxResults": 30
}

Output example

{
  "name": "The Westin New York at Times Square",
  "url": "https://www.priceline.com/relax/at/700012345",
  "neighborhood": "Midtown West",
  "address": "",
  "starLevel": 4,
  "propertyType": "",
  "tags": ["Top Booked"],
  "guestRating": 8.2,
  "reviewCount": 3120,
  "ratingCategory": "Excellent",
  "pricePerNight": 199,
  "originalPrice": 259,
  "totalPrice": 597,
  "currency": "USD",
  "originalCurrency": "USD",
  "exchangeRate": null,
  "discount": "$60 Off",
  "priceIncludesFees": true,
  "amenities": ["Free Internet Access", "Restaurant", "Fitness Center"],
  "highlights": ["Free Cancellation", "Pay Later Available"],
  "isExpressDeal": false,
  "imageUrl": "https://images.priceline.com/...",
  "imageCount": 25,
  "scrapedAt": "2026-04-08T22:04:36.000Z",
  "searchDestination": "New York, NY",
  "checkIn": "2026-06-20",
  "checkOut": "2026-06-23"
}

How much does it cost?

Priceline Hotel Scraper uses a pay-per-result pricing model at $0.005 per hotel result. You only pay for the hotel listings actually returned — there is no charge if the search fails or returns no results.

Results	Cost
10	$0.05
50	$0.25
100	$0.50
500	$2.50

Apify platform usage costs are included — no separate compute charges.

Free tier: Apify gives new users $5 of free monthly credits, enough for ~1,000 hotel results.

Performance

• Speed: Results returned in 15-25 seconds per search
• Reliability: Automatic retries with exponential backoff on transient errors
• Memory: 512 MB default — no configuration needed

Tips

• Schedule runs to track price changes over time — Priceline prices fluctuate daily.
• Use filters to narrow results and get more relevant listings (e.g. 4+ stars under $200/night).
• Sort by price (price_low) to find the best deals quickly.
• Increase maxResults up to 500 if you need comprehensive coverage of a destination.
• Convert prices to your local currency (EUR, GBP, etc.) using the currency option — price filters are applied after conversion.
• Export as CSV for easy import into Google Sheets or Excel.

Is it legal to scrape Priceline?

Web scraping of publicly available data is generally considered legal, as confirmed by the 2022 US Ninth Circuit ruling in hiQ Labs v. LinkedIn. This scraper only accesses publicly visible hotel search results — the same information any visitor can see on Priceline.com without logging in. No personal data is collected.

Always review Priceline's Terms of Service and ensure your use case complies with applicable laws in your jurisdiction.

Support & feedback

• Issues? Open a ticket on Apify Console or contact the author.
• Feature requests? Suggestions are welcome — reach out via the Apify platform.
• Updates: This actor is actively maintained and updated to handle Priceline site changes.