Booking.com Scraper - Hotel Prices & Reviews
Pricing
from $3.50 / 1,000 results
Booking.com Scraper - Hotel Prices & Reviews
Booking.com API alternative: scrape hotel prices, reviews & availability without an API key. Export Booking.com hotel data to CSV, JSON & Excel.
Pricing
from $3.50 / 1,000 results
Rating
0.0
(0)
Developer
Logiover
Maintained by CommunityActor stats
0
Bookmarked
6
Total users
2
Monthly active users
6 days ago
Last modified
Categories
Share
Booking.com Scraper — Hotel Prices, Reviews & Availability (No API Key)
Scrape Booking.com hotels without an API key. This Booking.com scraper turns any destination + check-in / check-out dates into a clean dataset of live nightly prices, star ratings, guest review scores, room types and availability — ready to export to CSV, JSON or Excel. It runs Playwright over residential proxies to clear Booking's in-house bot challenge, so you get real, date-specific rates at scale. No API key, no partner account, no login.
Point it at one or many destinations, set your dates, and pull live hotel data for rate monitoring, competitor price tracking and travel research.
🏆 Why this Booking.com scraper?
18+ fields per hotel · hundreds of hotels per run · live nightly rates for exact dates · beats Booking's in-house JS challenge · residential-proxy ready · export to JSON / CSV / Excel. The practical Booking.com API alternative for hospitality pricing, OTA data and travel analytics — no approved-partner API needed.
✨ What this Actor does / Key features
- 🏨 Live nightly prices — real rates for the exact
checkin/checkoutdates and guest counts you request, bothpriceDisplayand parsedpriceAmount. - ⭐ Ratings & reviews — official star rating (1–5), Booking guest review score (0–10), score label ("Very Good", "Superb") and total review count.
- 💸 Discount visibility —
priceBeforeDiscountalongside the current price to spot deals and price drops. - 📍 Location & logistics — hotel address and distance from city center.
- 🛏️ Rate details — advertised room type, plus
freeCancellationandbreakfastIncludedflags. - 🖼️ Photos & links — a hotel photo URL and a direct Booking.com hotel-page link with your dates pre-applied.
- 🌍 Multi-destination & multi-date — pass many
{destination, checkin, checkout, adults, rooms}searches in one run to compare across cities and seasons. - 💱 Currency & locale — set the ISO 4217 currency and a Booking language/country subdomain (
en-us,en-gb,de,fr…). - 🛡️ Beats the anti-bot challenge — executes Booking's in-house JavaScript challenge with Playwright over Apify Residential proxies for reliable results.
- ⚡ Paginates at scale — walks 25 hotels per page up to
maxHotelsPerSearch, streaming clean records to your dataset.
🚀 Quick start (3 steps)
- Configure — add one or more searches as
{ destination, checkin, checkout, adults, rooms }objects (dates inYYYY-MM-DD). Pick a currency and language/country. - Run — click Start. The Actor loads each Booking search through a residential proxy, clears the challenge, and paginates the results.
- Get your data — open the Output tab and export to JSON, CSV, Excel or HTML, or pull it live via the Apify API.
📥 Input
Every field is optional. Run it with empty input {} and it returns hotels for a popular default city (Paris) with sensible future dates (check-in ~30 days out, one night). Set a Destination and Check-in/Check-out, or use the advanced searches array for several searches at once. Proxy defaults to residential — keep it.
Example — two European city breaks
{"searches": [{ "destination": "Paris", "checkin": "2026-07-01", "checkout": "2026-07-02", "adults": 2, "rooms": 1 },{ "destination": "Amsterdam", "checkin": "2026-09-10", "checkout": "2026-09-12", "adults": 1, "rooms": 1 }],"maxHotelsPerSearch": 50,"currency": "EUR","languageCountry": "en-us"}
Example — competitor rate monitoring in one city
{"searches": [{ "destination": "Berlin", "checkin": "2026-08-15", "checkout": "2026-08-17", "adults": 2, "rooms": 1 }],"maxHotelsPerSearch": 200,"currency": "EUR","languageCountry": "de"}
Example — same-city price across dates (arbitrage / seasonality)
{"searches": [{ "destination": "London", "checkin": "2026-12-24", "checkout": "2026-12-26", "adults": 2, "rooms": 1 },{ "destination": "London", "checkin": "2027-01-14", "checkout": "2027-01-16", "adults": 2, "rooms": 1 }],"maxHotelsPerSearch": 100,"currency": "GBP","languageCountry": "en-gb"}
| Field | Type | Default | Description |
|---|---|---|---|
destination | string | Paris | City / area to search. Optional — empty defaults to Paris. |
checkin | string | ~+30 days | Check-in YYYY-MM-DD. Optional — auto-filled with a future date. |
checkout | string | check-in +1 | Check-out YYYY-MM-DD. Optional — auto-filled with a future date. |
adults | integer | 2 | Number of adult guests. |
rooms | integer | 1 | Number of rooms. |
currency | string | EUR | Currency dropdown (EUR, USD, GBP…). Booking localizes the displayed price. |
languageCountry | string | en-us | Booking locale dropdown, e.g. English (US/UK), German, French. |
maxHotelsPerSearch | integer | 25 | Booking returns 25 hotels per page; set higher to paginate further (1–1000). |
searches | array | — | Advanced, optional. List of {destination, checkin, checkout, adults, rooms} objects; overrides the single fields when set. Missing dates are auto-filled. |
proxyConfig | object | residential | Booking blocks datacenter IPs and challenges cold residential IPs — the residential default is recommended. |
📤 Output
One row per hotel — a clean structured record per search, exportable to JSON, CSV, Excel or HTML. Here is a trimmed sample:
{"name": "Hôtel du Marais","hotelUrl": "https://www.booking.com/hotel/fr/le-marais-paris.html?checkin=2026-07-01","starRating": 3,"reviewScore": 8.4,"reviewScoreText": "Very Good","reviewCount": 1287,"priceDisplay": "€ 142","priceAmount": 142.0,"priceCurrency": "€","priceBeforeDiscount": 168.0,"address": "75004 Paris, France","distanceFromCenter": "0.8 km from center","roomType": "Double Room","photoUrl": "https://cf.bstatic.com/xdata/images/hotel/…/max500.jpg","freeCancellation": true,"breakfastIncluded": false,"searchDestination": "Paris","searchCheckin": "2026-07-01","searchCheckout": "2026-07-02","searchAdults": 2,"searchRooms": 1,"scrapedAt": "2026-07-06T12:00:00.000Z"}
💡 Use cases
- Rate monitoring & dynamic pricing — track competitor hotel prices across destinations and dates to tune your own rates.
- OTA & travel apps — power a hotel search, price-comparison or metasearch feature without the Booking.com partner API.
- Hospitality analytics — analyze review scores, star ratings and price distribution per city or season.
- Travel arbitrage — spot price gaps between dates, destinations or other OTAs.
- Market research — find the price floor for a 3-star hotel in any city, in high or low season.
- Revenue management — feed live nightly rates into your pricing model and re-run on a schedule.
👥 Who uses it
Hotels & revenue managers · OTAs and travel-tech teams · metasearch & price-comparison builders · hospitality analysts & consultants · travel-arbitrage and deal sites · market researchers and data journalists.
💰 Pricing
This Actor runs on a simple pay-per-result model — you pay for the hotels you extract, with no separate platform fees to calculate. Try it on the free tier first, then scale up to full destinations. See the Pricing tab on this page for the current rate.
❓ Frequently Asked Questions
Is there a Booking.com API, and do I need a key? Booking.com only offers a partner API to approved affiliates and connectivity partners. This scraper needs no API key and no account — it reads public search results, so anyone can pull hotel prices and availability right away.
Is this a Booking.com API alternative? Yes. Because Booking's official API is limited to approved partners, this scraper works as a practical Booking.com API alternative — it reads public search results directly, with no key or account.
Can I scrape Booking.com without an API key or login? Yes. This hotel prices scraper needs no API key and no login — it collects only public listings, rates and review scores from Booking's search pages.
Can I get live nightly prices for specific dates?
Yes. Each search takes checkin and checkout dates, so the prices, room types and availability you get back are the live rates Booking shows for exactly those dates and guest counts.
Why is a residential proxy required? Booking.com ships an in-house JavaScript bot challenge and blocks datacenter IPs. The Actor runs Playwright over Apify Residential proxies to execute the challenge and fetch real prices reliably — just keep the default proxy setting and allow a few retries.
How much data can I get?
Booking paginates 25 hotels per page, and you can raise maxHotelsPerSearch up to 1000 per search. Pass many searches in one run to pull hundreds of hotels across cities and dates in a single dataset.
How do I export Booking.com hotel data to CSV or JSON? Run a search, then download the dataset as CSV, JSON, Excel or HTML, or fetch it through the Apify API and webhooks for rate-monitoring pipelines.
Can I compare hotel prices across multiple cities in one run? Yes. Add several search objects with different destinations and dates, and the scraper returns one dataset of prices and review scores across every city for easy comparison.
How do I monitor Booking.com hotel prices on a schedule? Schedule the Actor to re-run daily with fixed check-in and check-out dates; each run exports fresh nightly rates to CSV or JSON so you can track price changes over time.
Is it legal to scrape Booking.com? The Actor collects only publicly available hotel listing data. You are responsible for using the data in compliance with Booking.com's Terms and applicable laws, including any bulk-access limits.
🔗 More e-commerce, travel & marketplace scrapers by logiover
Building a travel or pricing dataset? Pair Booking with the rest of the travel & marketplace suite:
| Actor | What it does |
|---|---|
| Airbnb Scraper | Short-stay listings, prices & availability |
| Google Flights Scraper | Live flight prices & routes |
| Numbeo Cost of Living Scraper | City cost-of-living & price indices |
| Trustpilot Reviews Scraper | Business reviews & ratings |
| SimilarWeb Scraper | Website traffic & competitive data |
| Craigslist Scraper | Classifieds listings by city |
| Leboncoin Scraper | 🇫🇷 French marketplace listings |
| Blocket.se Scraper | 🇸🇪 Swedish marketplace listings |
| Finn.no Scraper | 🇳🇴 Norwegian marketplace listings |
| Marktplaats.nl Scraper | 🇳🇱 Dutch marketplace listings |
| Avito.ru Scraper | 🇷🇺 Russian marketplace listings |
| Etsy Scraper | Handmade & vintage product data |
👉 Browse all logiover scrapers on Apify Store — 180+ actors across real estate, jobs, crypto, social media & B2B data.
⏰ Scheduling & integration
Schedule this Actor on Apify to track hotel rates daily or weekly. Export results to JSON, CSV or Excel, sync to Google Sheets, or push to your database, BI tools and webhooks through the Apify API. Connect it to Make, n8n or Zapier to build automated rate-monitoring and revenue-management pipelines.
⭐ Support & feedback
Found a bug or need an extra field? Open an issue on the Issues tab — response is usually fast. If this Actor saves you time, a ★★★★★ review on the Store page genuinely helps and is hugely appreciated. 🙏
⚖️ Legal
This Actor extracts only publicly available hotel listing data and is intended for legitimate research, analytics and rate-monitoring use. You are responsible for complying with Booking.com's Terms of Service and any applicable local laws, including bulk-access limits.
📝 Changelog
2026-07-06
- ✨ README overhaul: badge row, three ready-to-run example scenarios, full field reference table, expanded high-intent FAQ (API alternative, no key/login, CSV/JSON export, how much data, legality) and the travel & marketplace suite cross-links.
2026-06-28
- Health check passed — Actor verified working end-to-end on the Apify platform.
- Changelog refreshed for Store quality compliance.
2026-06-20
- Maintenance & reliability pass: re-verified end-to-end against live data and confirmed the Actor completes successfully within the 5-minute quality window on the default input.
- Refreshed the prefilled example input and tuned run defaults for faster, lower-cost runs.