Booking.com Hotel Facilities Scraper avatar

Booking.com Hotel Facilities Scraper

Pricing

from $0.33 / 1,000 results

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Booking.com Hotel Facilities Scraper

Booking.com Hotel Facilities Scraper

Collect Booking.com hotel facilities such as Wi-Fi, pools, fitness options, and restaurants with the property name and page URL. Batch hotels for amenity research.

Pricing

from $0.33 / 1,000 results

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0.0

(0)

Developer

Scrappa

Scrappa

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

8 days ago

Last modified

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Collect public facilities listed on Booking.com hotel pages, including amenity labels and the canonical property URL. Add hotel URLs to compare lodging features.

What data can you extract?

FieldTypeDescription
successBooleanTrue when Booking.com returned a parsed hotel facilities response.
dataObjectHotel identity, public facility labels, and the page parsing status.
metaObjectFetch metadata including source URL, timing, cache status, and collection steps.
input_urlStringHotel or job page URL supplied for this lookup.
scraped_atStringUTC date and time when this record was collected.

Use cases

  • Travel planners can compare listed amenities before selecting a hotel.
  • Hotel analysts can benchmark facility offerings across properties.
  • Destination researchers can map lodging features by neighborhood or market.

How to use

  1. Add a Booking.com hotel URL to each entry in hotels.
  2. Set language or currency hints when useful for the property page.
  3. Review the facilities and associate them with the URL in each result.
{
"hotels": [
{
"url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html"
}
],
"lang": "en-us",
"currency": "EUR",
"maxResults": 10
}

Input

FieldTypeRequiredDescription
hotelsArray<object>YesHotel listing URLs whose public facilities you want to collect.
hotels[].urlstringYes per entryPublic source page URL used to retrieve this record.
hotels[].countrystringNoKununu country market code, such as de, at, or ch.
hotels[].slugstringNoHotel slug from the Booking.com URL (e.g. ritz-paris). The trailing .html is optional.
hotels[].checkinstringNoHotel check-in date in YYYY-MM-DD format.
hotels[].checkoutstringNoHotel check-out date in YYYY-MM-DD format, after check-in.
hotels[].group_adultsintegerNoNumber of adults (1-30).
hotels[].group_childrenintegerNoNumber of children (0-20).
hotels[].no_roomsintegerNoNumber of rooms (1-30).
hotels[].langstringNoLanguage code for the response (e.g. en-us, de).
hotels[].currencystringNoThree-letter currency code (e.g. EUR, USD).
countrystringNoKununu country market code, such as de, at, or ch.
slugstringNoHotel slug from the Booking.com URL (e.g. ritz-paris). The trailing .html is optional.
checkinstringNoHotel check-in date in YYYY-MM-DD format.
checkoutstringNoHotel check-out date in YYYY-MM-DD format, after check-in.
group_adultsintegerNoNumber of adults (1-30).
group_childrenintegerNoNumber of children (0-20).
no_roomsintegerNoNumber of rooms (1-30).
langstringNoLanguage code for the response (e.g. en-us, de).
currencystringNoThree-letter currency code (e.g. EUR, USD).
maxResultsintegerNoMaximum dataset items to save across this entire run.

Output example

{
"success": true,
"data": {
"title": "Adlon Kempinski Berlin",
"canonical_url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html",
"facilities": [
"Free WiFi",
"Indoor swimming pool",
"Fitness center",
"Restaurant"
],
"parsed": true
},
"meta": {
"url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html",
"duration_ms": 525,
"scraped_at": "2026-09-28T14:22:00Z",
"cached": true,
"booking_pool_attempts": 1,
"booking_pool_stages": [
"property-facilities"
]
},
"input_url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html",
"scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$0.50 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set maxResults to cap the number of dataset items saved in one run.

FAQ

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~booking-facilities-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

Does the Actor verify that a facility is available on every date?

No. It reports facilities listed on the property page; availability can depend on the property and booking dates.