Kayak Hotels Search Scraper
Pricing
from $2.00 / 1,000 results
Go to Apify Store
Kayak Hotels Search Scraper
Scrape hotel search results from KAYAK.com/hotelscombined.com including ratings, amenities, pricing, provider comparisons, geolocation, and 25+ fields per property. Perfect for travel analysts, price trackers, and hospitality researchers.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer
Stealth mode
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
Categories
Share
KAYAK Hotels Search Scraper: Extract Hotel Listings & Pricing Data
What Is KAYAK.com/hotelscombined.com?
KAYAK.com is one of the world's most widely used travel metasearch engines, aggregating hotel listings from hundreds of providers — from major OTAs to direct hotel rates. Its hotel search surfaces pricing, ratings, amenities, and availability across thousands of properties globally. Manually collecting this data at scale is impractical; the KAYAK Hotels Search Scraper automates extraction from KAYAK search result pages, delivering clean, structured records ready for analysis.
Overview
The KAYAK Hotels Scraper collects hotel listing data from KAYAK search result URLs, transforming paginated search pages into structured datasets. Designed for:
- Travel analysts monitoring hotel pricing and availability trends
- Price comparison platforms aggregating multi-provider rate data
- Hospitality researchers studying market positioning and amenity offerings
- Revenue managers benchmarking competitor properties
Key capabilities include multi-URL support, configurable result limits, and resilient error handling for large-scale runs.
Input Format
| Field | Type | Description |
|---|---|---|
urls | array | KAYAK hotel search result URLs to scrape. Can include sort orders, date ranges, and destination filters |
max_items_per_url | integer | Maximum number of hotel records to collect per URL. Default: 20 |
ignore_url_failures | boolean | If true, the scraper skips failed URLs and continues. Recommended for bulk runs |
URL construction tips:
- Set check-in/check-out dates directly in the URL path (e.g.,
/2026-06-27/2026-06-28/) - Append
?sort=rank_aor?sort=price_ato control result ordering - Use
page=Nto target specific result pages - The
2adultssegment controls guest count — adjust as needed
Output Format
Sample output
Each scraped hotel returns a record with 25+ fields:
Identification
| Field | Meaning |
|---|---|
Result ID | Unique internal KAYAK identifier for the result |
Result Type | Record type (e.g., hotel, apartment, resort) |
HID | KAYAK's hotel-specific ID, useful for cross-referencing |
Brand ID | Identifier for the hotel's brand affiliation |
Parent Brands | Chain or group the property belongs to (e.g., Marriott, Hilton) |
Brand Details | Extended metadata about the brand |
Property Information
| Field | Meaning |
|---|---|
Localized Hotel Name | Property name in the locale of the search |
Stars | Official star rating of the property |
Use Star Rating | Flag indicating whether to display the star rating |
Classification | Property category (e.g., boutique, resort, hostel) |
Geolocation | Latitude/longitude coordinates of the property |
Phone | Contact phone number if available |
URL | KAYAK listing URL |
Details URL | Direct link to the full hotel detail page |
Pricing & Providers
| Field | Meaning |
|---|---|
Providers | List of booking providers and their offered rates |
Distinct Provider Count | Number of unique providers offering this property |
Savings Percent | Discount percentage compared to reference price |
Historic High Price | Highest recorded price for reference/comparison |
Content & Media
| Field | Meaning |
|---|---|
Images | Array of property image URLs |
Localized Description | Property description in search locale |
Localized Description Attribution | Source or author credit for the description |
Amenities | List of offered amenities (pool, WiFi, parking, etc.) |
Ranking & Tags
| Field | Meaning |
|---|---|
Rating | Guest review score (typically 0–10) |
View Rank | Position/rank of the property in search results |
Badges | Special labels (e.g., "Top Reviewed", "Great Value") |
Smart Tags | Algorithmically generated tags highlighting property features |
How to Use
- Build your search URL — Go to KAYAK.com, search for hotels with your desired destination, dates, and guest count. Copy the full URL from your browser.
- Set pagination — To scrape multiple pages, create separate URL entries with
page=2,page=3, etc., or setmax_items_per_urlhigh enough to cover your target volume. - Configure the input — Paste URLs into the
urlsarray. Setmax_items_per_url(up to 200 recommended per run). - Enable
ignore_url_failures— Set totruefor bulk runs to prevent a single failed URL from stopping the actor. - Export — Download results as JSON, CSV, or Excel for analysis or pipeline ingestion.
Best practices:
- Run during off-peak hours for more stable results
- Use consistent date ranges across URLs for valid price comparisons
- Re-run periodically — KAYAK prices update frequently throughout the day
Use Cases & Business Value
- Dynamic pricing analysis: Track how hotel rates fluctuate by day, season, or demand
- Provider comparison: Identify which OTAs offer the best rates for specific properties
- Market research: Analyze amenity offerings and ratings across a destination
- Travel app development: Feed structured hotel data into comparison or recommendation engines
The scraper eliminates hours of manual data gathering, providing consistent, machine-readable output that slots directly into spreadsheets, databases, or BI dashboards.
Conclusion
The KAYAK Hotels Search Scraper is a practical tool for anyone needing reliable hotel search data at scale. With 25+ output fields covering pricing, ratings, providers, amenities, and geolocation, it delivers the depth required for serious travel market analysis. Configure your search URLs, run the actor, and get structured hotel data in minutes.
