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How to Scrape Booking.com — Free No-Code Guide (2026)

If you need to pull Booking.com data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Booking.com Scraper - Hotel Prices & Reviews, a hosted scraper on the Apify platform. You only need a free Apify token — no Booking.com login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

  • name
  • starRating
  • reviewScore
  • reviewCount
  • priceAmount
  • priceCurrency
  • roomType
  • distanceFromCenter
  • hotelUrl
  • hotelId
  • reviewScoreText
  • address
  • priceDisplay
  • priceBeforeDiscount

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

  1. Open the actor: https://apify.com/logiover/booking-hotels-prices-scraper
  2. Click Try for free.
  3. Leave the input empty for a broad sample, or set the fields below.
  4. Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install booking-hotels-prices-scraper
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const scrape = require("booking-hotels-prices-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();
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Option 3 — Python

pip install booking-hotels-prices-scraper
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from booking_hotels_prices_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])
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Grab a free token at https://console.apify.com/account/integrations.

Input options

Field Type What it does
destination string Destination (city / area)
checkin string Check-in date
checkout string Check-out date
adults integer Adults
rooms integer Rooms
currency string Currency
languageCountry string Language / Country
maxHotelsPerSearch integer Max Hotels per Search
searches array Advanced: Multiple Searches
proxyConfig object Proxy Configuration

Common use cases

  • Build a fresh Booking.com dataset for analysis or dashboards
  • Feed Booking.com records into your own app, CRM or spreadsheet
  • Monitor changes on a schedule and get alerts via webhooks
  • Enrich leads or research with up-to-date Booking.com data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.

FAQ

Do I need an API key? Only a free Apify token. No Booking.com account needed.

How many results can I get? Thousands per run; raise the limit to pull more.

Is it an official Booking.com API? No — it's an unofficial, maintained alternative when there's no official or affordable API.

Can I export to CSV/Excel? Yes — JSON, CSV, JSONL, Excel and XML.


▶️ Run the Booking.com Scraper - Hotel Prices & Reviews on Apify: https://apify.com/logiover/booking-hotels-prices-scraper

📚 Docs & code examples: https://github.com/logiover/booking-hotels-prices-scraper

🧰 More scrapers: https://apify.com/logiover

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