Booking.com Hotel Prices Scraper

Search Booking.com hotel price cards by destination and future stay dates. Collect property names, quoted prices, review scores, locations, and listing links for comparison.

What data can you extract?

Field	Type	Description
name	String	Name displayed by the source for this record.
url	String	Public source or listing URL associated with this record.
price	String	Quoted price in the currency shown by the source.
review_score	String	Review Score value associated with this booking.com hotel prices record.
location	String	Location information reported for this source record.
image	String	Public image URL supplied by the source.
input_ss	String	Destination name submitted for the Booking.com price search.
scraped_at	String	UTC date and time when this record was collected.

Use cases

• Travel planners can compare hotel price cards across destination cities.
• Market analysts can track quoted lodging rates for future stays.
• Travel agencies can create shortlists from public property prices and review scores.

How to use

1. Add a city or destination to each entry in destinations.
2. Set stay dates, guest counts, and currency, or rely on the relative date defaults.
3. Use maxResults to limit saved hotel price cards.

{
  "destinations": [
    {
      "ss": "Berlin"
    }
  ],
  "group_adults": 2,
  "no_rooms": 1,
  "dest_type": "city",
  "lang": "en-us",
  "currency": "EUR",
  "maxResults": 10
}

Input

Field	Type	Required	Description
destinations	Array<object>	Yes	Cities, regions, or destination names to search for Booking.com hotel prices.
destinations[].ss	string	Yes per entry	Destination, e.g. "Paris" or "New York".
destinations[].checkin	string	No	Hotel check-in date in YYYY-MM-DD format. When omitted, check-in is set to 30 days from today.
destinations[].checkout	string	No	Hotel check-out date in YYYY-MM-DD format, after check-in. When omitted, check-out is set to two days after check-in.
destinations[].group_adults	integer	No	Number of adults (1-30). Defaults to Booking.com default.
destinations[].group_children	integer	No	Number of children (0-20).
destinations[].no_rooms	integer	No	Number of rooms (1-30).
destinations[].dest_id	integer	No	Booking.com destination id when known (e.g. -1456928 for Paris). Helps Booking render resolved city result pages.
destinations[].dest_type	string	No	Booking.com destination type when known: city, region, district, hotel, landmark, or airport. Accepted values: city, region, district, hotel, landmark, airport.
destinations[].lang	string	No	UI language hint (e.g. en-us, de).
destinations[].currency	string	No	3-letter currency code (e.g. EUR, USD).
checkin	string	No	Hotel check-in date in YYYY-MM-DD format. When omitted, check-in is set to 30 days from today.
checkout	string	No	Hotel check-out date in YYYY-MM-DD format, after check-in. When omitted, check-out is set to two days after check-in.
group_adults	integer	No	Number of adults (1-30). Defaults to Booking.com default.
group_children	integer	No	Number of children (0-20).
no_rooms	integer	No	Number of rooms (1-30).
dest_id	integer	No	Booking.com destination id when known (e.g. -1456928 for Paris). Helps Booking render resolved city result pages.
dest_type	string	No	Booking.com destination type when known: city, region, district, hotel, landmark, or airport. Accepted values: city, region, district, hotel, landmark, airport.
lang	string	No	UI language hint (e.g. en-us, de).
currency	string	No	3-letter currency code (e.g. EUR, USD).
maxResults	integer	No	Maximum dataset items to save across this entire run.

Output example

{
  "name": "The Linden Berlin",
  "url": "https://www.booking.com/hotel/de/the-linden-berlin.html",
  "price": "€246",
  "review_score": "9.1",
  "location": "Mitte, Berlin",
  "image": "https://cf.bstatic.com/xdata/images/hotel/square60/berlin-linden.jpg",
  "input_ss": "Berlin",
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$0.30 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

Is scraping this information legal?

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-prices-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.

Can I search a Booking.com destination ID?

Yes. Add dest_id and the matching dest_type to help resolve a destination when you have its Booking.com ID.

Related Scrappa Actors

• Booking.com Search Scraper
• Booking.com Rooms & Rates Scraper
• Booking.com Hotel Details Scraper