# Scrape Room Rates and Availability from Hilton
> Source: https://scrape.do/industries/travel/hilton-scraper/
Scrape Hilton hotel rates, availability, and amenities at scale. Scrape.do clears Akamai and datacenter-proxy blocking automatically with one API call.
**Scrape Room Rates and Availability from Hilton**
Extract nightly rates, room availability, amenities, and Hilton Honors loyalty pricing from one of the world’s largest hotel chains. Hilton runs behind Akamai and refuses datacenter proxies. Scrape.do handles it automatically.
## How to Scrape Hilton
### Hotel Page
Extract rates, availability, amenities, and ratings from any Hilton hotel page with a single API call.
**Example response**
```html
Hampton Inn & Suites Cazenovia, NY | Hilton
Hampton Inn & Suites Cazenovia
31 Aug Mon1 Sep Tue
$150Honors Discount
Check-in 3 PM
```
Scrape **Hilton** (https://www.hilton.com) and receive the data as structured JSON.
**Example extracted fields**
| Field | Example |
| ----- | ------- |
| Nightly Rate | $150 |
| Availability | 1 room, 1 guest |
| Guest Rating | 4.7 (347) |
| Loyalty Price | Honors Discount |
### 48M Monthly Visits. Every Brand and Rate. One API.
Hilton is one of the largest hospitality companies in the world, drawing **over 48 million monthly visits** across more than **7,500 properties and 24 brands** including Waldorf Astoria, DoubleTree, and Hampton in over 100 countries. Its hotel pages carry the nightly rates, date-based availability, amenities, guest ratings, and **Hilton Honors loyalty pricing** that travel price-intelligence and rate-parity teams watch across every market.
With Scrape.do you can **track room rates and availability by date and market**, monitor dynamic pricing and rate parity against OTAs like Booking.com and Expedia, capture amenity and property data across brands, and **compare member versus standard rates**. All through a single API call.
### Akamai. Datacenter Proxies Refused. Handled.
Hilton sits behind **Akamai**, which sets a Bot Manager cookie and challenges automated traffic, and it refuses datacenter proxies outright: a plain request or datacenter IP is dropped with a branded **“Something went wrong” Reference No.** error page instead of the hotel data. Requests must come from residential IPs, and the property pages are a **Next.js** app whose rates and availability load per date and market.
Scrape.do rotates *high-quality residential IPs* with full browser fingerprints, clears Akamai’s bot detection, and returns fully server-rendered hotel HTML with structured rate and amenity data. You set `super=true` and a `geoCode` for the target market and receive clean rate and availability data without maintaining proxy pools or headless browsers.
## FAQ
### Can Scrape.do bypass Hilton’s Akamai protection?
Yes. hilton.com sits behind Akamai and refuses datacenter proxies, returning a branded “Something went wrong” Reference No. error page instead of hotel data. Scrape.do rotates real residential IPs with full browser fingerprints, clears Akamai bot detection, and returns fully server-rendered hotel HTML. Set super=true and a geoCode for the target market to reach populated rate and availability pages.
### What data can I extract from Hilton?
You can extract hotel names and addresses, nightly room rates by date, availability and sold-out status, room types, amenities, guest ratings and review counts, brand and location metadata, and Hilton Honors loyalty pricing. Search result pages return listings of hotels with rates, ratings, and Honors Discount labels for a given city and date range.
### Do I need to render JavaScript to scrape Hilton?
Usually no. Hilton is a Next.js app that server-renders hotel data, so a request with super=true and geoCode returns fully populated HTML with structured rate and amenity data in ld+json. Rendering through the target site is unreliable for Hilton, so keep render=false and rely on residential routing; change the check-in and check-out query parameters to pull rates for specific dates.