Booking.com Search Scraper - Hotels, Prices & Reviews

Booking.com Search Scraper by ScraperCompany returns the properties Booking.com lists for a destination and stay, in Booking.com's own order. Each property has its name, stay price (total and per night, before-discount price, and taxes where Booking.com states them), review score and count, stars, property type, address, district, distance, GPS, photo, matched room and cancellation policy, plus the Booking.com hotel id and URL. Use Booking.com's own filters and sort orders (stars, review score, property type, price per night, free cancellation, meals) or paste a search results link. Pricing is pay-per-event: $0.006 per 25 properties; searches with no results and failed requests are free.

Nothing to set up: no code, no login and no keys. Start a run, then export JSON, CSV or Excel, or pull the results through the Apify API. You pay only for results; failed and empty requests are free.

What can this Booking.com scraper do?

• Up to 1,000 properties per search, 25 at a time, in Booking.com's order.
• Stay price with total, per night, before-discount and stated taxes; currency of your choice.
• Review score, label and count, stars, property type, address, GPS, distance and photo.
• Booking.com's own filters: stars, review score, property type, price per night, free cancellation, no prepayment, meals, and any filter string from a search link.
• Exact or relative check-in dates (30 days), so saved tasks never go stale.

What makes it different?

	Booking.com Search Scraper	Many alternatives
Setup	Nothing to configure: no login, no keys	Often your own accounts, cookies or network setup
You pay for	Successful results; failed and empty requests are free	Often run time, or every attempt
When a site pushes back	Retried and handled for you	Often an empty or failed run

Who uses Booking.com data?

• Hotels and revenue managers: See every competitor in your city with its price for your dates, its review score and its stars.
• Travel and market research: Build a list of properties for a destination with type, location, rating and price level.
• Price tracking: Run the same search every day and follow how a city's prices move.

What Booking.com data can you extract?

Field	Description
properties[].name / hotel_id / url	Property identity and link
properties[].price.total / per_night / currency	Stay price
properties[].price.before_discount / taxes_and_fees / total_with_taxes	Discount and stated taxes
properties[].review_score / review_label / review_count	Guest reviews
properties[].stars / property_type	Class and type
properties[].address / district / distance / coordinates	Location
properties[].room / free_cancellation / no_prepayment	Matched room and policies
search_information.total_results / destination	How many properties Booking.com lists, and for which place

Every dataset item also carries input (the options used for that request), request_id (quote it to support), billed and scraped_at.

How to scrape Booking.com search results

1. Open Booking.com Search Scraper in Apify Console and go to the Input tab.
2. Enter destinations (one per line) or paste Booking.com search links, set check-in, nights and guests, and how many properties you want. Optionally add filters, a sort order, currency and language.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input

Input	Name	What it does
destinations	Destinations	..com search results link (its dates, guests, filters and sort are kept).
maxItems	Max properties per destination	.com's order (1-1000). Charged per started 25 properties returned.
check_in	Check-in	Exact (2026-12-01) or relative (30 days from today).
nights	Nights	Length of stay (1-90).
check_out	Check-out	Optional instead of Nights: exact or relative (32 days).
adults	Adults	Adults across all rooms (1-30).
children_ages	Children ages	.g. [5, 9].
rooms	Rooms	Rooms (1-30).
currency	Currency	Currency for prices.
language	Language	....
country_market	Visitor country	.g. GB). Leave empty for the default.
sort	Sort by	.com's own sort orders.
stars	Stars	Star classes to keep, one per line: 1-5 or unrated.
min_review_score	Minimum review score	.com's review filter: 6 (Pleasant), 7 (Good), 8 (Very good) or 9 (Wonderful) and up.
property_types	Property types	...
price_min	Minimum price per night	In the selected currency.
price_max	Maximum price per night	In the selected currency.
free_cancellation	Free cancellation only	Only properties with a free-cancellation rate.
no_prepayment	No prepayment only	Only properties that take no prepayment.
meal_plan	Meals	Keep properties with this meal plan.
filters	Booking.com filter string (advanced)	..g. hotelfacility=107.

Input example

This is the default input; running the Actor without changes uses it.

{
  "destinations": [
    "Lisbon"
  ],
  "maxItems": 25,
  "check_in": "30 days",
  "nights": 2,
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain all the fields):

{
  "input": {
    "query": "New York",
    "check_in": "2026-12-08",
    "nights": 2,
    "adults": 2
  },
  "meta": {
    "calls": 2,
    "observed_at": "2026-08-07T01:23:45.678Z",
    "source": "booking"
  },
  "pagination": {
    "next_offset": 1,
    "offset": 0,
    "returned": 1
  },
  "properties": [
    {
      "address": "23 Lexington Avenue",
      "city": "New York (New York)",
      "coordinates": {
        "latitude": 40.7398336,
        "longitude": -73.9842543
      },
      "country": "us",
      "dest_id": 20088325,
      "distance": "3.1 km from downtown",
      "district": "Gramercy, New York",
      "free_cancellation": false,
      "hotel_id": 2769928,
      "is_closed": false,
      "meal_plan": null,
      "name": "Freehand New York",
      "no_prepayment": false,
      "pagename": "freehand-new-york",
      "photo": "https://cf.bstatic.com/xdata/images/hotel/square600/616499567.jpg?k=3986043bd47a869827d184f17a74202ce5c5c867593ace03a5a2d019efd2023e&o=",
      "position": 1,
      "preferred_partner": true,
      "price": {
        "before_discount": 1302.42,
        "charges_text": "+US$199 taxes",
        "currency": "USD",
        "deal_badges": [],
        "nights": 2,
        "per_night": 601.91,
        "provenance": {
          "observed_at": "2026-08-07T01:23:45.678Z",
          "price_basis": "stay_total",
          "requested_currency": "USD",
          "requested_market": null,
          "returned_currency": "USD",
          "schema_version": 1,
          "source": "booking",
          "source_kind": "ota",
          "source_property_id": "us/freehand-new-york"
        },
        "tax_inclusive": false,
        "taxes_and_fees": 199,
        "total": 1203.83,
        "total_with_taxes": 1402.83
      },
      "property_type": "Hotels",
      "property_type_id": 204,
      "review_count": 2708,
      "review_label": "Very Good",
      "review_score": 8,
      "room": {
        "bathrooms": null,
        "bedrooms": null,
        "beds": [
          {
            "count": 1,
            "type_id": 4
          },
          {
            "count": 1,
            "type_id": 6
          }
        ],
        "free_cancellation_until": null,
        "name": "Three's Company",
        "room_id": "276992806",
        "scarcity": null,
        "units": 1
      },
      "secondary_score": {
        "label": "Location",
        "score": 9.3
      },
      "sold_out": false,
      "sponsored": false,
      "stars": 4,
      "stars_kind": "stars",
      "sustainability": [],
      "transit": "23rd Street station is within 200 meters",
      "url": "https://www.booking.com/hotel/us/freehand-new-york.html"
    }
  ],
  "search_information": {
    "destination": {
      "country": "US",
      "dest_id": 20088325,
      "dest_type": "CITY",
      "name": "New York"
    },
    "total_results": 446
  },
  "search_parameters": {
    "adults": 2,
    "check_in": "2026-12-08",
    "check_out": "2026-12-10",
    "children_ages": [],
    "currency": "USD",
    "dest_id": null,
    "dest_type": null,
    "filters": null,
    "language": "en-us",
    "limit": 25,
    "nights": 2,
    "offset": 0,
    "query": "New York",
    "rooms": 1,
    "sort": "popularity"
  },
  "source": "booking",
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape Booking.com search results?

This Actor uses pay-per-event pricing: you pay for successful requests, not for compute time.

Event	Charged when	Price	Per 1,000
results-page	Up to 25 properties from one Booking.com search, with prices, review scores and stars. 100 properties are 4 events. Searches with no results are free.	$0.006	$6.00

What a real run costs:

• 100 requests: $0.60
• 1,000 requests: $6.00
• 10,000 requests: $60.00

Apify's $5 of free monthly usage covers about 833 results-page events.

• Failed requests (errors, invalid input, a site refusing after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

Run it on a schedule

Use Apify Schedules to repeat a run hourly, daily or weekly and compare results over time, and webhooks or the Integrations tab to push new results to Make, Zapier, n8n, Google Sheets, Slack or your own warehouse.

Use it with AI agents

Results are structured JSON, so they are easy to feed to a model. AI agents such as Claude can run this Actor and read its results through the Apify MCP server.

FAQ

Do I need an account on the site, or an API key?

No. The Actor is ready to run as is, and you only pay the per-event prices above.

How many properties can I get?

Up to 1,000 per destination, Booking.com's own limit for one search. Narrow a big city with filters or more specific places (districts, landmarks) to reach more of it.

Why do some properties have no review score?

New listings with no reviews yet. Booking.com keeps them even when a minimum review score is set.

Are taxes included in the price?

The price is the stay total Booking.com shows. When Booking.com states the taxes (for example "+US$199 taxes") they are in taxes_and_fees and total_with_taxes; when it says they are included, tax_inclusive is true; otherwise both are left empty rather than guessed.

Can I price a property from the results?

Yes: each property's hotel_id, pagename and country work with the Booking.com Price Scraper for a nightly calendar or every room and rate plan.

Is it legal to scrape Booking.com search results?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Temporary errors are retried automatically. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: it says what was wrong with the input, for example a malformed date or an unknown id. Fix it and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/booking-search-scraper').call({
    "destinations": [
        "Lisbon"
    ],
    "check_in": "30 days"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/booking-search-scraper").call(run_input={
    "destinations": ["Lisbon"],
    "check_in": "30 days",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Related scrapers

• Booking.com Price Scraper: Nightly price calendar and every room and rate plan for one hotel
• Hotel Reviews Scraper: Booking.com and eight other sources' guest reviews
• Google Hotels Search: Hotels for a destination with every booking site's price

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.