Booking.com Hotels Scraper

Scrape Booking.com search results and bounded public hotel details for any destination worldwide — prices, ratings, locations, listing links, hotel identity, and public address leads in structured JSON. Filter by property category, stars, review score, and free cancellation. No Booking partner API required.

Architecture: this Apify Actor is a thin client. Scraping runs on the booking-com Cloud Run worker over HTTPS + API key. Existing output fields are preserved; lead fields are additive.

Worker URL is config, not code: the Actor reads WORKER_BASE_URL from Actor environment variables (plus optional per-run workerBaseUrl). If you migrate the worker to a new host, update WORKER_BASE_URL (and WORKER_AUTH if the API key changes) in Apify Console — no Actor code change required. Set WORKER_PROVIDES_PROXY=1 when the worker supplies its own PROXY_URL instead of Apify RESIDENTIAL.

---

Need a dedicated scraper for one website?

This Actor is the general tool for protected public pages. If you already have one specific site and a field list, a dedicated scraper is faster and more stable: listing + detail, your export format, delivered to your Apify account or as a standalone runnable client.

I confirm the tier before you pay. The clock starts after that confirmation.

Start here: Submit a custom scraper request

	Starter $50	Dedicated $100	Hard target $200–999
Site	1 simple anti-bot public site	1 medium anti-bot public site	Cloudflare / aggressive anti-bot / custom parser
Scope	Full listing + detail fields	Listing + detail + pagination, your field list	Agreed fields, repeatable runs
Delivery	CSV/JSON · Apify Actor or standalone runnable client (script/CLI)	Same, plus a sample run and short instructions	Feasibility first, then build
Time	24 hours after we confirm the URL is in scope	48 hours after confirmation	Quoted after feasibility
Fixes	30 days for small public-layout changes	30 days	Scoped in the quote

Hard-target sites are not a 100% uptime promise. You get a dedicated parser that can be re-run on the agreed fields. If the URL is not feasible, you get a refund or pay an assessment fee only — you will know before the build starts.

Not in Starter/Dedicated: login-walled data, native APK / Windows installer / full web apps, or two-year maintenance. Those are a separate quote.

---

What does this Actor do?

• Search Booking.com stays for cities, regions, countries, or landmarks worldwide
• Resolve destinations via Booking autocomplete (dest_id / dest_type) when possible; falls back to free-text ss= search if autocomplete is unavailable
• Filter by property types (empty = all), stars, min review score, and free cancellation
• Support children / child ages in the search URL
• Sort by popularity, price, reviews, stars, or distance
• Extract hotelId, name, price, total price (when shown), rating, review count, location, room type, and image
• Enrich a bounded number of public hotel Detail pages with hotel organization and postal address, while preserving honest absence reasons for unavailable contact fields
• Paginate up to your maxResults limit via a Cloud Run scrape worker with worker-managed acquisition and proxy/egress; never unproxied

Output fields

Field	Description
source	Always booking
hotelId	Stable id from URL/card when available (e.g. sg/marina-bay-sands)
name	Property name
url	Booking.com listing URL
price	Nightly / primary displayed price (when available)
totalPrice	Total stay price when visible on the search card
currency	ISO currency code
rating	Numeric review score (typically 1–10)
ratingText	Raw rating text from the card
reviewCount	Number of reviews
propertyType	Inferred type (Hotel, Apartment, Hostel, …)
location	Neighborhood / area text
distanceFromCenter	Distance-from-center text
imageUrl	Primary card image
roomType	Recommended unit / room text
amenities	Amenity labels when present on SERP (often empty)
destination / checkin / checkout	Echoed from the search input when set
scrapedAt	ISO timestamp

Lead and contact fields

Every dataset item includes the complete lead shape, even when a search row could not be enriched. A missing value is paired with a reason in leadAbsences; the Actor does not silently omit lead keys.

Field	Type	Booking.com meaning
phones	[{value, type, e164?}]	Public hotel phone numbers found on the measured Detail surface. The accepted Paris random-run sample returned [].
emails	[{value, type}]	Public hotel email addresses found on Detail. The accepted Paris random-run sample returned [].
address	{street, unit, locality, region, postalCode, country, full}	Postal address from Detail JSON-LD/visible content. unit is the street or door number. The accepted Paris sample exposed 76 Rue De Clichy, unit 76, and postal code 75009.
geo	{lat, lng} or null	Coordinates when the public Detail exposes them. This supplements the address, it does not replace it.
person	{name, role?} or null	Named public hotel contact. No separate person was visible on the measured hotel Detail.
org	{name, id?} or null	Hotel organization identity, for example Hotel Pilime in the accepted Paris run.
web	{website, socials[]}	Canonical Booking hotel URL plus public property-level social links, if any. Booking platform support/social links are excluded.
leadSource	string enum	Surface that produced the lead: search, detail, entity, contact, or reveal-xhr. Current Booking enrichment uses search or detail.
leadReveal	string enum	How the lead was exposed: visible, click, xhr, gated, image, or absent. Current measured hotel address and organization are visible.
leadAbsences	object/map	Per-field reason such as 本站无 for a measured public-surface absence, 闸门锁 for a gate, or 未验证 when Detail enrichment did not complete.

Reveal cost

• enrichDetails defaults to true and opens at most detailEnrichLimit hotel Detail pages, default 3, maximum 10.
• The measured Booking hotel addresses and organizations are already visible. No phone, email, or address reveal click/XHR was performed; the accepted fully sampled Paris row returned measured absence reasons for those contact channels.
• Detail enrichment adds one protected-page acquisition per selected hotel. It increases run time and proxy/browser use, so keep detailEnrichLimit small for routine search runs.
• Rows beyond the enrichment limit still include all ten lead keys, with 未验证（详情补全未成功） where appropriate.

Honest limitations

• The accepted latest-build random run exposed hotel organizations and door-number-level postal addresses for all three Paris rows, but no public property phone, email, named person, or property social account on the fully sampled Detail row.
• geo was not extracted from the accepted Paris sample and is marked 未验证; the populated postal address must not be treated as coordinate proof.
• Search rows are not evidence that a contact field is absent across Booking.com. If Detail acquisition fails or is not attempted, the row uses 未验证, not 本站无.
• Partner Support and Booking platform contact/social routes are not hotel leads. The Actor does not log in, open support cases, or attribute platform contacts to a property.

---

More Actors like this

Looking for another travel / stays scraper, or a specialized Actor outside Booking.com hotels? Use a dedicated Actor when one exists — structured fields, better coverage, usually lower cost. Use this Actor for Booking.com hotel / accommodation search results.

Similar travel & stays Actors

• Booking.com & Airbnb Scraper
• Airbnb Listings Scraper
• Agoda Scraper
• Expedia Scraper
• Trip.com Scraper
• Traveloka Scraper
• TripAdvisor Scraper
• Despegar Scraper
• Travelstart Flights Scraper

Prefer another specialized scraper?

Jobs & Freelance

• LinkedIn Jobs Scraper
• Indeed Jobs Scraper
• Upwork Jobs Scraper
• Glassdoor Scraper
• Fiverr Gigs Scraper
• Bayt Jobs Scraper

E-commerce

• Walmart Product Scraper
• Amazon Search Scraper
• Costco Product Scraper
• Shopee Search Scraper
• Etsy Scraper
• SHEIN Product Scraper
• Temu Product Scraper
• Target Product Scraper

Real Estate

• Zillow & Zumper Scraper
• Realtor.com Scraper
• Apartments.com Rental Scraper
• Rightmove Scraper
• Idealista Scraper
• realestate.com.au Scraper

Social & Content

• YouTube Research Scraper
• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General Tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

→ See the full catalog in Related Actors below, or browse apify.com/lentic_clockss.

---

How to use

1. Enter a destination (city, region, country, or landmark — e.g. Tokyo, France, near Times Square)
2. Set check-in / check-out (YYYY-MM-DD) for accurate prices
3. Optionally choose property types, stars, review score, sort, language, currency, and proxy country
4. Click Start — results appear in the Dataset tab

Example: worldwide city search

{
  "destination": "Tokyo",
  "checkin": "2026-08-01",
  "checkout": "2026-08-03",
  "adults": 2,
  "maxResults": 20,
  "currency": "USD",
  "lang": "en-us",
  "proxyCountry": "JP"
}

Example: apartments only in Paris

{
  "destination": "Paris",
  "checkin": "2026-08-01",
  "checkout": "2026-08-05",
  "adults": 2,
  "propertyTypes": ["apartment"],
  "sort": "price",
  "maxResults": 30,
  "currency": "EUR",
  "lang": "en-us",
  "proxyCountry": "FR"
}

Example: family stay with filters

{
  "destination": "Singapore",
  "checkin": "2026-08-01",
  "checkout": "2026-08-03",
  "adults": 2,
  "children": 1,
  "childAges": [8],
  "stars": [4, 5],
  "minReviewScore": 8.0,
  "freeCancellation": true,
  "propertyTypes": ["hotel"],
  "maxResults": 20,
  "currency": "SGD",
  "proxyCountry": "SG"
}

Leaving propertyTypes empty means all accommodation categories.

Example output

Lead-focused excerpt from accepted random latest-build run bqjEZY7rgqZy2tiHE:

{
  "source": "booking",
  "hotelId": "fr/hotelauroremontmartre",
  "name": "Hotel Pilime",
  "url": "https://www.booking.com/hotel/fr/hotelauroremontmartre.en-gb.html",
  "phones": [],
  "emails": [],
  "address": {
    "street": "76 Rue De Clichy, 9th arr., 75009 Paris, France",
    "unit": "76",
    "locality": "76 Rue De Clichy",
    "region": "Ile de France",
    "postalCode": "75009",
    "country": "France",
    "full": "76 Rue De Clichy, 9th arr., 75009 Paris, France, 76 Rue De Clichy, Ile de France, 75009, France"
  },
  "geo": null,
  "person": null,
  "org": {
    "name": "Hotel Pilime",
    "id": null
  },
  "web": {
    "website": "https://www.booking.com/hotel/fr/hotelauroremontmartre.en-gb.html",
    "socials": []
  },
  "leadSource": "detail",
  "leadReveal": "visible",
  "leadAbsences": {
    "phones": "本站无（已测公开酒店详情）",
    "emails": "本站无（已测公开酒店详情）",
    "geo": "未验证（已测详情未提取经纬度）",
    "person": "本站无（已测公开酒店详情）",
    "web.socials": "本站无（已测 property 级）"
  }
}

Input

Field	Type	Default	Notes
destination	string	Singapore	City / region / country / landmark
checkin / checkout	string	(empty)	YYYY-MM-DD
adults	integer	2	1–10
children	integer	0	0–10
childAges	integer[]	[]	Ages 0–17; padded to children
rooms	integer	1	1–10
maxResults	integer	50	1–500
currency	string	USD	ISO code + cur_curr cookie
lang	string	en-us	UI language tag
sort	enum	popularity	popularity, price, review_score, …
propertyTypes	string[]	[]	Empty = all categories
stars	integer[]	[]	1–5 → class= filters
minReviewScore	number	(null)	0–10 → review_score= tenths
freeCancellation	boolean	false	→ oos=1
destId / destType	string	(empty)	Skip autocomplete when both set
customNfltFilters	string[]	[]	Raw nflt fragments
detailUrls	URL[]	[]	Optional genuine Booking /hotel/... Detail URLs; skips destination search and requires enrichDetails=true
enrichDetails	boolean	true	Fetch bounded public hotel Detail pages for lead enrichment
detailEnrichLimit	integer	3	Maximum Detail pages to enrich, 1–10
proxyCountry	string	(empty)	RESIDENTIAL country (default US)
proxy	object	(none)	Optional Apify proxy editor

Supported property types

hotel, apartment, hostel, motel, resort, bed_and_breakfast, villa, guesthouse, holiday_home, aparthotel, lodge, homestay, country_house, capsule_hotel, campground, inn, ryokan, riad, chalet, holiday_park, tent, love_hotel, pension

Limits & notes

• Bounded Detail enrichment — enrichDetails=true enriches at most detailEnrichLimit rows; remaining rows keep the complete lead shape with honest absence reasons
• Autocomplete — tries API + UI suggestion fallback; if both fail, search continues with free-text ss= (destSource:query_only in warnings)
• Proxy required — proxy/egress is supplied by the worker; the Actor does not fall back to direct/unproxied browsing
• Anti-bot — the production worker uses its configured acquisition chain (the accepted run used geonode-extract); unresolved challenge responses fail the page/attempt

Diagnostics

Each run writes:

• INPUT_ECHO — sanitized input including resolved destId/destType and nflt
• RUN_SUMMARY — status, counters, field completeness, warnings (destSource:…, proxy mode, etc.)
• ERROR_SUMMARY — written only on hard failures

Statuses: ok | partial | blocked.

Pricing

This Actor uses pay-per-event pricing. Platform usage costs are included — you do not pay separate Apify compute on top of the event prices below (User pays platform usage costs: No).

Event	Price
Actor Start (apify-actor-start)	$0.005 per start
Result (apify-default-dataset-item)	$2.00 / 1,000 listings ($0.002 each)

Every hotel listing written to the default dataset is billed as one result.

Store discount tiers

Tier	$/1,000	per result
FREE*	$2.000	$0.002
BRONZE	$2.000	$0.002
SILVER	$2.000	$0.002
GOLD	$1.500	$0.0015
PLATINUM	$1.500	$0.0015
DIAMOND	$1.500	$0.0015

*FREE is the list price before any Store volume discount. GOLD, PLATINUM, and DIAMOND pay $1.50 / 1,000.

Example cost estimates

Listings	Approx. event cost*
100	~$0.205
1,000	~$2.005
10,000	~$20.005

*Assumes one Actor start plus $0.002 per Dataset item (FREE/BRONZE/SILVER). Exact start billing can scale with allocated memory (one start event per GB, minimum one). This Actor defaults to 512 MB, so a typical run is one start event.

This price change is scheduled for 2026-10-03 14:24 UTC (22:24 CST). Until then, the Store pricing panel is the live bill.

Free Apify plan limits (set by this Actor's developer)

Limit	Free Apify plan	Paid Apify plan
Runs of this Actor	10 runs total	Unlimited
Results per run (maxResults)	Up to 500	Up to 500

When the run cap is hit, the run finishes with a clear status message — not an Apify platform error. Paying Apify users are not subject to the run cap.

FAQ

Can I search any country?
Yes. Enter a city, region, or country name. The Actor tries Booking autocomplete for dest_id; if that fails it still searches with the destination text. Inventory is global on www.booking.com.

What does empty propertyTypes mean?
All categories — hotels, apartments, hostels, and other accommodation types shown on the SERP.

Do I need a Booking.com account?
No.

Are amenities always filled?
No. Amenities are primarily card-level fields and are often absent on SERP cards. Detail enrichment currently focuses on the public hotel identity, address, geo, and contact lead shape rather than a full amenities catalog.

Why did my free-plan run stop after 10 runs?
Free Apify plan users get 10 runs of this Actor and up to 500 results per run. These limits are set by the Actor developer (not Apify). When you hit the run cap, the run finishes with a clear status message — it is not a platform bug. Upgrade to a paid Apify plan for unlimited runs.

Related Actors

All 77 public Actors from [lentic_clockss]. Click a name to open the Store detail page.

Jobs & Freelance

• LinkedIn Jobs Scraper
• Bayt Jobs Scraper
• Fiverr Gigs Scraper
• Freelancer.com Scraper
• Glassdoor Scraper
• Himalayas Jobs Scraper
• Indeed Jobs Scraper
• Jobicy Remote Jobs Scraper
• RemoteOK Jobs Scraper
• SEEK Jobs Scraper
• Upwork Jobs Scraper

Real Estate

• Zillow & Zumper Scraper
• Realtor.com Scraper
• 99.co Scraper
• Realtor.com Agents Scraper
• Apartments.com Rental Scraper
• Bayut Scraper
• Craigslist Housing Scraper
• Daft.ie Scraper
• Dot Property Scraper
• FINN.no Scraper
• Funda Scraper
• Hepsiemlak Scraper
• Idealista Scraper
• Immobiliare.it Scraper
• ImmoScout24 Scraper
• Naver Land Scraper
• OpenSooq Scraper
• Otodom Scraper
• Property Finder Scraper
• PropertyGuru Scraper
• realestate.com.au Scraper
• Realtor.ca Scraper
• Rightmove Scraper
• SeLoger Scraper
• SUUMO Scraper
• Zillow Group Scraper

E-commerce

• Shopee Search Scraper
• E-commerce Scraper
• 1688 Global Product Search Scraper
• Allegro Scraper
• Amazon Search Scraper
• ASOS Product Scraper
• Cdiscount Product Scraper
• Costco Product Scraper
• Coupang Product Scraper
• Etsy Scraper
• Lazada Scraper
• MercadoLibre Scraper
• Mercari Japan Scraper
• Rakuten Japan Scraper
• SHEIN Product Scraper
• Target Product Scraper
• Temu Product Scraper
• Walmart Product Scraper

Travel & Stays

• Booking.com & Airbnb Scraper
• Agoda Scraper
• Airbnb Listings Scraper
• Booking.com Hotels Scraper
• Despegar Scraper
• Expedia Scraper
• Traveloka Scraper
• Travelstart Flights Scraper
• Trip.com Scraper
• TripAdvisor Scraper

Social & Content

• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper
• YouTube Research Scraper
• Hacker News Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• Google Ads Transparency VN
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General Tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

→ Browse the full profile: apify.com/lentic_clockss