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.

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✨ What this Actor does / Key features

• 🏨 Live nightly prices — real rates for the exact checkin/checkout dates and guest counts you request, both priceDisplay and parsed priceAmount.
• ⭐ Ratings & reviews — official star rating (1–5), Booking guest review score (0–10), score label ("Very Good", "Superb") and total review count.
• 💸 Discount visibility — priceBeforeDiscount alongside the current price to spot deals and price drops.
• 📍 Location & logistics — hotel address and distance from city center.
• 🛏️ Rate details — advertised room type, plus freeCancellation and breakfastIncluded flags.
• 🖼️ 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)

1. Configure — add one or more searches as { destination, checkin, checkout, adults, rooms } objects (dates in YYYY-MM-DD). Pick a currency and language/country.
2. Run — click Start. The Actor loads each Booking search through a residential proxy, clears the challenge, and paginates the results.
3. 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

👉 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.

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This Actor is an independent tool. It is not affiliated with, endorsed by, or sponsored by Booking.com; Booking.com and all other trademarks mentioned here are the property of their respective owners.

Booking.com scraping — frequently asked questions

Do I need a Booking.com API key, account or login?

No. This Actor reads publicly available pages and feeds, so there is nothing to register for and no credentials to manage.

How do I export Booking.com data to CSV, Excel, JSON or Google Sheets?

Open the Storage tab after a run and pick the format you want — CSV, Excel, JSON, XML or an HTML table. For Google Sheets, Airtable or a database, use the dataset URL or the Apify API so the sheet refreshes itself on every run.

Can I schedule this Booking.com scraper to run daily or hourly?

Yes. Use the Schedules tab and pick a cadence. Daily is enough for most tracking work; pick hourly only if the products you care about really do change that fast.

How many products can I get, and what does it cost?

See the volume section above for a measured figure. Billing is per result, so you pay for the rows you actually receive and a run that finds nothing costs nothing.

Is scraping Booking.com legal?

This Actor collects only information that Booking.com publishes publicly. It does not log in, does not defeat access controls and does not touch private data. You remain responsible for how you use the output, including under GDPR and similar rules where personal data is involved.

What happens if Booking.com blocks the run or changes its layout?

A refused exit IP is swapped for a fresh one within a quarter of a second and retried, and rate limiting is waited out rather than fought. If nothing gets through, the run fails with the reason instead of reporting success with zero rows — so an empty result always means "no matches", never "the source would not answer".

Can I use this with an AI agent, LangChain or an MCP client?

Yes. The Actor is callable over the Apify API and through Apify's MCP server, so an agent can run it and read the dataset back as a tool call.

📝 Changelog

2026-11-01

• Monthly health check (2026-11-01): a live run on the current build completed successfully and returned data. Input options, output fields and pricing are unchanged.
• README refreshed: 1 link to retired Actors removed; independence disclaimer added.

2026-10-15

• A run that reaches its maximum cost per run now stops cleanly with its results saved and a status message, instead of ending as aborted.
• A proxy group your account cannot use no longer stops the run at start-up; it falls back to the default Apify Proxy.
• Runs with a short timeout (API and AI-agent calls) now finish inside it with what they collected, instead of being cut off.
• Memory is managed within the run's own limit, which removes a rare out-of-memory crash on large pages.

2026-09-23

• Fleet-wide quality audit. Verified end to end against live data and re-checked the input schema, the output columns and the run configuration.
• Output verified on a live run: 23 columns returned, 95.5% of cells populated.
• Run reliability reviewed: 100.0% of public runs succeeded in the last 30 days.
• Input schema, output schema and pricing configuration reviewed.
• Noted that 1 column(s) came back empty in this sample (priceBeforeDiscount); these are under review.

2026-09-01

• Fleet-wide health check. Verified against this Actor's real run history: 30-day success rate, output row counts, per-field fill rates, and peak memory against the configured memory limit.
• Reviewed for the failure patterns that have cost this fleet runs — unguarded proxy setup, retry loops that can outlast the run's own time budget, and full-page HTML parsing that can exhaust a small container.
• No change to input, output fields or scraping logic.

2026-08-11

• Maintenance release: refreshed the build and dependencies.
• Re-verified live execution, non-empty structured output and dataset field/type integrity.
• Reviewed reliability (retries, pagination) and output quality as part of a full-fleet QA pass.

2026-08-01

• Completed the August 2026 full health check: verified empty/programmatic default, Console UI default, and two source-informed alternative inputs on Apify.
• Confirmed successful live execution, non-empty structured output, dataset-field/type integrity, and logical sample quality within the 5-minute quality window.

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.

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*Maintained: last verified 2026-11-01 — checked end-to-end against live run history (reliability, output fields and types, and time/memory budgets).