Booking.com Hotels Scraper

Booking.com Hotels Scraper extracts public hotel search results from Booking.com: hotel names, listing URLs, prices, ratings, reviews, star counts, addresses, room/availability text, taxes and image URLs. Use it to monitor hotel supply, compare destinations, build travel-market datasets, and refresh hospitality research without manually copying search results.

At a glance

• Source: Public Booking.com hotel search result pages.
• Best for: Travel market research, OTA monitoring, hotel lead lists, price snapshots, and destination supply analysis.
• Output: One dataset row per hotel listing.
• Proxy mode: Residential proxy by default because Booking.com commonly challenges datacenter traffic.
• Details mode: Optional detail-page enrichment for coordinates and amenities.

What does this actor do?

Give the actor a destination such as Lisbon, Porto, or New York, choose guest/stay settings, and it saves the matching hotel cards from Booking.com. The scraper is designed for recurring public listing snapshots, not account-only data, reservations, or private traveler information.

Who is it for?

• Travel analysts comparing hotel supply and public prices across destinations.
• Hospitality operators checking competitor ratings, review counts, and offer text.
• Revenue-management teams collecting recurring market snapshots.
• Agencies and data teams feeding dashboards, spreadsheets, and internal research pipelines.

Input example

{
  "destination": "Lisbon",
  "maxItems": 25,
  "currency": "USD",
  "language": "en-us",
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "includeDetails": false
}

Input settings

Key	Type	Description
destination	string	City, region, landmark, or hotel search text.
checkIn	string	Optional check-in date in YYYY-MM-DD format.
checkOut	string	Optional check-out date in YYYY-MM-DD format.
adults	integer	Number of adult guests.
children	integer	Number of children.
rooms	integer	Number of rooms.
currency	string	Three-letter currency code for displayed prices.
language	string	Booking.com locale parameter, for example en-us.
countryCode	string	Optional residential proxy country code.
maxItems	integer	Maximum hotel listings to save.
includeDetails	boolean	Open detail pages to collect coordinates and amenities. Slower and more expensive.

Output example

{
  "search": "Lisbon",
  "destination": "Lisbon",
  "checkIn": null,
  "checkOut": null,
  "hotelName": "Example Lisbon Hotel",
  "url": "https://www.booking.com/hotel/pt/example.html",
  "bookingId": "example",
  "address": "Lisbon, Portugal",
  "city": null,
  "country": null,
  "coordinates": null,
  "rating": 8.7,
  "reviewCount": 1234,
  "stars": 4,
  "price": "US$120",
  "currency": "USD",
  "taxesAndFeesText": "Includes taxes and fees",
  "availabilityText": "Only 2 rooms left",
  "roomSummary": "Standard double room",
  "amenities": [],
  "imageUrls": ["https://cf.bstatic.com/..."] ,
  "rank": 1,
  "scrapedAt": "2026-07-12T09:00:00.000Z"
}

Output fields

Field	Description
search, destination	Search text used for the run.
checkIn, checkOut	Stay dates from input, when supplied.
hotelName	Hotel listing name.
url	Canonical Booking.com hotel URL.
bookingId	ID parsed from the hotel URL when available.
address	Address/location text from the listing card.
city, country	Reserved location fields.
coordinates	Latitude/longitude when detail enrichment finds them.
rating, reviewCount, stars	Public score, review count, and star count.
price, currency	Displayed price text and selected currency.
taxesAndFeesText	Taxes/fees text shown on the result card.
availabilityText	Availability or urgency text shown by Booking.com.
roomSummary	Room/offer summary from the card.
amenities	Amenities from detail pages when includeDetails is enabled.
imageUrls	Listing image URLs.
rank	Position in the current search result page.
scrapedAt	ISO timestamp for the scrape.

Pricing

This actor uses pay-per-event pricing:

Event	Price
Start	$0.005 per run
Hotel scraped	Free $0.0046, Bronze $0.004, Silver $0.00312, Gold $0.0024, Platinum $0.0016, Diamond $0.00112 per hotel

Residential proxy traffic is required for reliability on Booking.com and is included in actor operating costs.

Verified public example tasks

These Apify Store tasks use small, QA-verified inputs and can be opened or cloned directly:

• Collect Lisbon Hotel Details — verified run JdUYLAJueiWm1jmnL produced 3 dataset items.
• Research Tokyo Hotels In Jpy — verified run 9xb8jArnNqUFjaXo8 produced 5 dataset items.
• Search Family Hotels Barcelona — verified run hHnQyggjC0dUZiGa0 produced 5 dataset items.
• Search Lisbon Hotels — verified run YW9RWP7KhnEpAen8E produced 5 dataset items.
• Search Paris Hotels In Euros — verified run MtXIMH7eI7GKuQdIm produced 5 dataset items.

API usage

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/booking-com-hotels-scraper').call({ destination: 'Lisbon', maxItems: 10 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient
client = ApifyClient('$APIFY_TOKEN')
run = client.actor('fetch_cat/booking-com-hotels-scraper').call(run_input={'destination': 'Lisbon', 'maxItems': 10})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~booking-com-hotels-scraper/runs?token=$APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"destination":"Lisbon","maxItems":10}'

MCP / AI-agent usage

You can use this actor from AI tools through the Apify MCP Server. Configure the Apify MCP server with your Apify API token, then ask your agent to run booking-com-hotels-scraper with a destination, maximum item count, and optional dates. The dataset URL returned by Apify can be used directly in spreadsheets, notebooks, or downstream automations.

Claude CLI add command:

$claude mcp add apify -- npx -y @apify/actors-mcp-server --actors fetch_cat/booking-com-hotels-scraper

Example MCP JSON config:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--actors", "fetch_cat/booking-com-hotels-scraper"],
      "env": { "APIFY_TOKEN": "$APIFY_TOKEN" }
    }
  }
}

Example prompts:

• "Run the Booking.com Hotels Scraper for Lisbon with 10 hotels and USD prices."
• "Collect 25 Booking.com hotel listings for Porto and summarize the highest-rated properties."
• "Scrape Booking.com hotels for New York with two adults and return hotel names, prices, and ratings."

Tips and limits

• Keep maxItems small for frequent monitoring runs, then scale once your query is stable.
• Use includeDetails only when coordinates or amenities are required.
• Booking.com may change layout or show different text by locale, currency, dates, and user location.
• The actor only collects public data visible without signing in.

Legality and responsible use

This actor is intended for public web data and market research. Make sure your use case complies with Booking.com's terms, applicable laws, and privacy rules. Do not use it to collect personal traveler data or perform abusive traffic patterns.

FAQ

Can I scrape hotel reviews? This actor focuses on hotel listings. Use a reviews-specific actor for review text.

Why are prices text, not normalized numbers? Booking.com displays prices with localized symbols, taxes, and offer labels. The actor preserves the visible text so users can decide how to normalize it.

Why use residential proxies? Booking.com commonly challenges plain datacenter traffic; residential proxy routing improves reliability.

What should I send to support? Include the run ID or run URL, input JSON, expected output, actual output, and a reproducible public Booking.com search URL when possible.

Related actors

• Booking.com Reviews Scraper
• Agoda Hotels Scraper
• Airbnb Listings Scraper
• Google Flights Scraper

Support

If a run fails or output looks wrong, open an Apify issue with the run ID/run URL, the exact input JSON, expected output, actual output, what you received, and any public URL that reproduces the same Booking.com result page.

Changelog

• 2026-07-16 - Feature: Added ready-to-run example tasks on the Apify Store

• 2026-07-16 - Feature: Launched booking com hotels scraper for public Apify Store users.