Hilton Hotel Scraper

What does Hilton Hotel Scraper do?

Hilton Hotel Scraper collects structured hotel data straight from Hilton's official website — property details, location, guest ratings, and live room rates for the dates you choose. Enter a city, a ZIP code, or a specific hotel name, press Start, and download a clean table of Hilton-family hotels. It is built for travel price research, rate monitoring, competitive analysis, and hospitality data pipelines.

The scraper covers the full Hilton portfolio: Hilton Hotels & Resorts, Waldorf Astoria, LXR, Conrad, Canopy, Signia, Curio Collection, DoubleTree, Tapestry Collection, Motto, Tempo, Hilton Garden Inn, Hampton, Tru, Homewood Suites, Home2 Suites, Spark, Embassy Suites, and LivSmart Studios. Hotels from other chains are never mixed in.

Why use Hilton Hotel Scraper?

• Official-source data — rates and property details come from Hilton's own website, not a third-party travel agency.
• Whole-portfolio coverage — every Hilton sub-brand in one dataset, filtered so no non-Hilton hotels slip in.
• Date-specific rates — set any check-in and check-out and get the nightly and total price for that stay.
• Clean, normalized output — consistent fields, no raw HTML, no duplicate rows; missing values are returned as null.
• Flexible input — search by hotel name, city, or postal code.
• Automation-ready — schedule runs, connect to Google Sheets, or pull results through the Apify API.

What makes this different

Most hotel scrapers read prices from online travel agencies. This one reads Hilton's own website, so the rates match what a guest sees when booking directly. It also always returns results: if live availability cannot be reached during a run, the Actor falls back to public map data and still returns the matching Hilton properties with their address and location.

What data can you extract?

Field	Description
hotel_id	Hilton property identifier
hotel_name	Hotel name
brand	Always Hilton
source	Always official
source_url	Link to the hotel page
observed_at	Timestamp when the data was collected
check_in, check_out	Stay dates used for pricing
length_of_stay	Number of nights
adults, children, rooms	Occupancy used for the search
room_type, room_category, bed_type, max_occupancy	Room details when a rate is available
rate_plan, meal_plan	Rate plan and board type when shown
cancellation_policy, refundable	Cancellation terms when shown
price, taxes, fees, total_price, currency	Nightly price, charges, and stay total
availability	Whether rooms are available for the dates
address, city, country, postal_code	Property location
latitude, longitude	Coordinates
star_rating	Hotel class
review_score, review_count	Guest rating and number of reviews
image_url	Main property image
metadata	Extra source-specific details

How to use Hilton Hotel Scraper

1. Open the Actor and go to the Input tab.
2. Enter a hotel name, an area / city, or a ZIP / postal code.
3. Optionally set check-in and check-out dates, guests, rooms, and currency.
4. Set the output limit (start small to test, increase for wider searches).
5. Press Start.
6. When the run finishes, open the Dataset tab and export to JSON, CSV, or Excel — or connect via API.

Input parameters

Parameter	Type	Required	Default	Description
hotel	string	No	—	Exact or partial name of a specific Hilton-family hotel.
area	string	No	New York (prefilled)	City or destination to discover hotels in.
zip_code	string	No	10001 when nothing else is set	Postal code to discover hotels near.
check_in	string	No	2 days from run date	Check-in date, YYYY-MM-DD.
check_out	string	No	2 nights after check-in	Check-out date, YYYY-MM-DD.
adults	integer	No	2	Adult guests.
children	integer	No	0	Child guests.
rooms	integer	No	1	Number of rooms.
currency	string	No	USD	3-letter currency code for rates.
limit	integer	No	5	Maximum hotels to return.

Output data

Each dataset item is one hotel for the requested dates. Fields that a hotel or a given search does not expose are returned as null rather than guessed.

Example output item

{
  "hotel_id": "NYCMHHH",
  "source": "official",
  "source_url": "https://www.hilton.com/en/hotels/nycmhhh-hilton-new-york-midtown/",
  "observed_at": "2026-09-01T12:00:00.000Z",
  "hotel_name": "Hilton New York Midtown",
  "brand": "Hilton",
  "check_in": "2026-09-20",
  "check_out": "2026-09-22",
  "length_of_stay": 2,
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "room_type": "1 King Bed",
  "bed_type": "king",
  "max_occupancy": 2,
  "meal_plan": null,
  "cancellation_policy": "Free cancellation",
  "refundable": true,
  "price": 289,
  "taxes": 42.11,
  "total_price": 620.22,
  "currency": "USD",
  "availability": true,
  "address": "1335 Avenue of the Americas",
  "city": "New York",
  "country": "US",
  "postal_code": "10019",
  "latitude": 40.76248,
  "longitude": -73.97976,
  "star_rating": 4,
  "review_score": 4.1,
  "review_count": 3285,
  "image_url": "https://www.hilton.com/im/en/NYCMHHH/1/hero.jpg"
}

Usage examples

Look up one hotel for specific dates

{ "hotel": "Hilton New York Midtown", "check_in": "2026-10-15", "check_out": "2026-10-17", "adults": 2 }

Discover Hilton hotels in a city

{ "area": "Chicago", "limit": 15 }

Find Hilton hotels near a postal code

{ "zip_code": "90015", "check_in": "2026-11-01", "check_out": "2026-11-03", "limit": 10 }

Tips for best results

• Use a specific hotel name when you want one property; use an area or ZIP to compare several.
• Increase limit for broader area searches — the default is tuned for a quick test.
• Book-ahead dates return more availability than same-week dates.
• Prices are shown in the hotel's own currency when the requested currency is unavailable.

Known limitations

• Live rate fields (price, taxes, total_price, room_type) depend on real-time availability and can be null for sold-out or far-future dates.
• Area and ZIP searches return the hotels Hilton's site lists for that location, subject to its own result cap.
• When live availability cannot be reached, the fallback returns property identity and location only — no rates for that run.
• Coverage is strongest for United States destinations.

Integrations

Connect Hilton Hotel Scraper to Google Sheets, Make, Zapier, Slack, or your own systems through the Apify API and webhooks. Schedule recurring runs to track rates over time.

Export formats

Download results as JSON, CSV, Excel, or XML from the Dataset tab, or fetch them through the Apify API.

Frequently asked questions

How many hotels can I get per run?

As many as you set with limit. Area and ZIP searches are also bounded by how many hotels Hilton's site returns for that location.

Can I search by my own list of hotels or URLs?

You can run the Actor once per hotel name, or schedule a batch of runs. Direct URL input is not required — a hotel name is enough.

Why are some fields null?

The Actor never fabricates data. If a hotel or a given date range does not expose a rate, room type, or review score, that field is returned as null.

Can I schedule this to run automatically?

Yes. Use Apify Schedules to run it hourly, daily, or weekly and send results to your storage or a connected app.

How fresh is the data?

Rates and availability are read live at run time for the dates you request. Re-run the Actor whenever you need current numbers.

Does it include hotels from other chains?

No. Results are filtered to Hilton-family brands only.

Support

If a run fails or output looks wrong, open the Issues tab on the Actor's page with your input and the run ID. Fixes and questions are handled there.

Legal and responsible use

You are responsible for how you use the collected data, including compliance with Hilton's website terms, applicable laws, and data-protection rules such as GDPR where personal data (for example, guest review text) is involved. Use this Actor for research, price comparison, and analytics — not to disrupt the target site.

Preview