How to Scrape Booking.com: Hotels, Prices, and Availability

Pull hotel listings from any Booking.com city search -- prices, star ratings, guest scores, GPS coordinates, cancellation policies, and discount badges -- without a browser or session cookies. The actor calls Booking.com's internal API directly, so runs complete in seconds. About $0.003 per hotel on the free tier.

What data you get

Each hotel result contains 19+ structured fields. Here is a sample record from a Paris search:

{
  "name": "Mercure Tour Eiffel Grenelle",
  "url": "https://www.booking.com/hotel/fr/mercure-paris-tour-eiffel-grenelle.html",
  "star_rating": 4,
  "review_score": 8.2,
  "review_count": 1099,
  "review_score_word": "Wonderful",
  "price": 516.56,
  "price_per_night": 258.28,
  "currency": "USD",
  "original_price": 603.00,
  "discount_badge": "Limited-time Deal",
  "free_cancellation": true,
  "free_cancellation_until": "2026-08-20",
  "is_sold_out": false,
  "address": "64, Boulevard de Grenelle",
  "latitude": 48.8503,
  "longitude": 2.2912,
  "distance_from_center": "1.2 miles from downtown",
  "meal_plan": 0
}

Available fields

• name: hotel display name.
• url: direct Booking.com link for the property.
• star_rating: official star classification (1-5).
• review_score: aggregate guest score out of 10.
• review_count: total number of guest reviews.
• review_score_word: Booking.com label such as Wonderful or Superb.
• price: total price for the full stay.
• price_per_night: nightly rate.
• currency: ISO 4217 currency code.
• original_price: pre-discount price when a deal is active.
• discount_badge: deal label, for example Limited-time Deal.
• free_cancellation: boolean, true when free cancellation is available.
• free_cancellation_until: deadline date for free cancellation.
• is_sold_out: boolean, true when no rooms are available for the dates.
• address: street address.
• latitude / longitude: GPS coordinates for mapping.
• distance_from_center: distance string as shown by Booking.com.
• meal_plan: 0 = room only, 1 = breakfast included.

Prerequisites

• A free Apify account. Sign up at the actor page. The free tier includes $5 of credit every month -- enough for around 1,600 hotel results.
• A destination and travel date range. The actor accepts city names, regions, or countries in any language Booking.com supports.

STEP 1

Open the actor

1. Go to the Booking.com Hotel Scraper on Apify.
2. Click Try for free and sign in with Google or email. No credit card required.
3. You land on the Input tab, ready to configure your search.

STEP 2

Set destination and dates

The form has a handful of inputs. Most have sensible defaults -- the only required field is Destination.

• Destination (required): city, region, or country. Examples: Paris, Tuscany, Japan.
• Check-in / Check-out: dates in YYYY-MM-DD format. Defaults to tomorrow for one night if left empty.
• Adults: number of adult guests. Default: 2.
• Sort By: POPULARITY (default), PRICE, REVIEW_SCORE, or DISTANCE.
• Max Results: how many hotels to scrape. Default: 100. Set to 0 for all available results.
• Currency: ISO 4217 code. Default: EUR. Use USD, GBP, etc. as needed.

For programmatic access, switch to the JSON editor and paste an input object directly:

{
  "destination": "Barcelona",
  "checkin": "2026-09-12",
  "checkout": "2026-09-15",
  "adults": 2,
  "currency": "EUR",
  "sortBy": "PRICE",
  "maxResults": 50
}

STEP 3

Run and watch the results

Click Start at the top right. Results appear in the Results tab within seconds as the actor pages through the search. A run returning 100 hotels typically completes in under 30 seconds.

How it works: The actor uses Booking.com's internal GraphQL API with TLS fingerprinting -- no browser, no cookies, no Selenium. This makes it significantly faster and cheaper than browser-based alternatives, and avoids JavaScript rendering failures.

# Download results as JSON via API
curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json&token={YOUR_API_TOKEN}" \
  --output hotels.json

Pricing

The actor uses pay-per-result billing with no monthly fee and no minimum spend.

• Actor start: $0.001 per run (one-time flat fee regardless of batch size).
• Hotel result: $0.003 per hotel on the free tier.
• 100 hotels costs roughly $0.30 all-in.
• 1,000 hotels costs roughly $3.00 all-in.

The free Apify account includes $5 of credit every month, which covers roughly 1,600 hotel results at no charge. Paid plans get volume discounts -- the cost drops to $0.00287 per hotel on the Gold tier and above.

Common use cases

Hotel price comparison and tracking

Run the same destination and date range on a schedule and store results by timestamp. The price_per_night, original_price, and discount_badge fields give you everything needed to spot price drops and compare deals across properties over time.

Competitive pricing intelligence for hotel operators

Extract all hotels in your city sorted by REVIEW_SCORE or PRICE. Filter by star_rating to benchmark only direct competitors. The review_score_word and review_count fields help you understand where you stand relative to the market.

Travel research and geo-mapping

Every result includes latitude, longitude, and distance_from_center. Feed these into a mapping tool like Kepler.gl or Google Maps to visualize hotel density, price gradients by neighborhood, or proximity to a venue.

Availability monitoring

The is_sold_out field tracks when specific hotels sell out for a given date window. Run nightly for a high-demand period (a conference, a public holiday) and you can identify demand peaks and the hotels that fill up first.

Automate with n8n

To track hotel prices on a schedule -- for example, every Monday morning for the following weekend -- connect the actor to n8n using the Apify node.

1. In n8n, add a Schedule trigger set to weekly.
2. Add an Apify node, select Run Actor, and enter santamaria-automations/booking-com-scraper as the actor ID.
3. Set the input JSON with your destination and date range.
4. Add a Google Sheets or Airtable node to append each week's results to a tracking spreadsheet.
5. Optionally add an If node to send an email or Slack notification when price_per_night drops below a threshold.

FAQ

Related resources

• Booking.com Hotel Scraper actor page: Full specs, pricing tiers, and comparison with alternatives.
• Booking.com Hotel Scraper on Apify: Actor documentation, changelog, and usage statistics.
• Google Maps Scraper on Apify: Collect local business data including hotels from Google Maps -- useful for cross-referencing with Booking.com results.
• All NanoScrape tutorials: Step-by-step guides for every actor in the NanoScrape catalog.