Booking.com Review Scores Scraper

Retrieve aggregate Booking.com hotel ratings and review totals without collecting full review text. Batch property URLs to compare guest scores across hotels.

What data can you extract?

Field	Type	Description
success	Boolean	True when Booking.com returned a parsed review-score response.
data	Object	Property identity and aggregate rating values, including score scale and review count.
meta	Object	Fetch metadata including property URL, timing, cache state, and collection steps.
input_url	String	Hotel or job page URL supplied for this lookup.
scraped_at	String	UTC date and time when this record was collected.

Use cases

• Hotel analysts can benchmark aggregate guest scores across properties.
• Travel sites can enrich hotel records with public rating totals.
• Investors can track guest-rating trends for lodging portfolios.

How to use

1. Add one Booking.com hotel URL per entry in hotels.
2. Choose language and currency hints for the property page.
3. Read the aggregate rating and review count from the returned data object.

{
  "hotels": [
    {
      "url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html"
    }
  ],
  "lang": "en-us",
  "currency": "EUR",
  "maxResults": 10
}

Input

Field	Type	Required	Description
hotels	Array<object>	Yes	Hotel listing URLs whose aggregate guest rating and review totals you want to retrieve.
hotels[].url	string	Yes per entry	Public source page URL used to retrieve this record.
hotels[].country	string	No	Kununu country market code, such as de, at, or ch.
hotels[].slug	string	No	Hotel slug from the Booking.com URL (e.g. ritz-paris). The trailing .html is optional.
hotels[].checkin	string	No	Hotel check-in date in YYYY-MM-DD format.
hotels[].checkout	string	No	Hotel check-out date in YYYY-MM-DD format, after check-in.
hotels[].group_adults	integer	No	Number of adults (1-30).
hotels[].group_children	integer	No	Number of children (0-20).
hotels[].no_rooms	integer	No	Number of rooms (1-30).
hotels[].lang	string	No	Language code for the response (e.g. en-us, de).
hotels[].currency	string	No	Three-letter currency code (e.g. EUR, USD).
country	string	No	Kununu country market code, such as de, at, or ch.
slug	string	No	Hotel slug from the Booking.com URL (e.g. ritz-paris). The trailing .html is optional.
checkin	string	No	Hotel check-in date in YYYY-MM-DD format.
checkout	string	No	Hotel check-out date in YYYY-MM-DD format, after check-in.
group_adults	integer	No	Number of adults (1-30).
group_children	integer	No	Number of children (0-20).
no_rooms	integer	No	Number of rooms (1-30).
lang	string	No	Language code for the response (e.g. en-us, de).
currency	string	No	Three-letter currency code (e.g. EUR, USD).
maxResults	integer	No	Maximum 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",
    "aggregate_rating": {
      "reviewCount": 286,
      "bestRating": 10,
      "@type": "AggregateRating",
      "ratingValue": 9.2
    },
    "review_score": {
      "rating_value": 9.2,
      "best_rating": 10,
      "review_count": 286
    },
    "parsed": true
  },
  "meta": {
    "url": "https://www.booking.com/hotel/de/adlon-kempinski-berlin.html",
    "duration_ms": 495,
    "scraped_at": "2026-09-28T14:22:00Z",
    "cached": true,
    "booking_pool_attempts": 1,
    "booking_pool_stages": [
      "review-summary"
    ]
  },
  "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

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-review-scores-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.

How does this differ from the reviews Actor?

This Actor returns aggregate scores and review counts. Use Booking.com Reviews Scraper for individual review records and comments.

Related Scrappa Actors

• Booking.com Reviews Scraper
• Booking.com Hotel Details Scraper
• Booking.com Search Scraper