Booking.com Email Scraper
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Booking.com Email Scraper
Booking.com Email Scraper SD - Booking.com Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from Booking.com results by keyword, location and email domain - Booking.com email extractor.
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Booking.com Email Scraper — public property contact emails from Google
The Booking.com Email Scraper builds a deduplicated list of publicly indexed property contact emails from Booking.com pages, together with the account label, name and snippet that Google prints alongside them. It is aimed at hospitality-tech vendors, hotel suppliers and OTA supply teams.
One caveat shapes every run, so the Booking.com Email Scraper states it first. Booking.com routes guest contact through its own messaging and indexes city and search pages heavily, so most rows carry a property email without a resolvable property handle.
That is a shape, not a failure. In measured live runs, roughly every 10 parsed results returned about 2 rows with an identity, 1 profile URL and 7 unique emails — plenty of reservation addresses, few clean handles.
The Booking.com Email Scraper never logs in, never opens the Booking.com website and never touches a Booking.com API. Every field comes from Google's public index: result titles, snippets and the site label beside them.
Who the Booking.com Email Scraper is for
Property management systems, channel managers and revenue-management vendors use it to find hotels and guest houses that publish a reservations address. Hotel suppliers — linen, amenities, F&B, furniture — use it to reach independent properties in one destination.
OTA supply teams recruiting new properties, destination marketing organisations mapping local accommodation stock, and travel PR teams pitching to hotels are the other regular users. Properties publish reservation and group-booking addresses deliberately, so treat outreach as a trade approach.
Why a live search beats a static hotel email list
A bought "hotel owner email list" is fixed on the day it is sold. The Booking.com Email Scraper runs a fresh Google search against the keywords and email domains you choose, so the hotel leads it returns reflect what is publicly indexed right now.
Re-run it quarterly for a market and new independent properties appear as they publish contact details. That makes the Booking.com Email Scraper a hospitality prospecting instrument rather than a one-off purchase.
Key features of the Booking.com Email Scraper
Everything below is code that ships in the Booking.com Email Scraper today, not a roadmap.
| Feature | What it does |
|---|---|
Google site: targeting | Searches booking.com, including its heavily localised path structure |
| Query expansion | Base, quoted, intitle: and one variant per query modifier; base queries run first |
| Global deduplication | Each email is emitted once across every query and every page |
| Email normalisation | Case-insensitive; handles name [at] domain [dot] com, (at), name @ domain.com, domain .com, zero-width characters and the full-width @ |
| Junk filter | Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals |
| Boundary-correct matching | @gmail.com does not match inside @gmail.company or @gmail.com.br |
| Soft-wrap repair | Drops a hit that is only the tail of another email in the same block |
| Structural parsing | Locates the <h3> title then the smallest surrounding block, instead of relying on Google CSS class names |
| Whole-page fallback | If Google's markup changes, the run degrades to "emails without account details", not "no emails" |
| Block detection | CAPTCHA, "unusual traffic" and consent pages are detected and retried, not counted as empty |
| Retries | Up to 3 attempts per page, exponential backoff, fresh proxy session per request |
| Requeue | Blocked or failed queries are re-queued once at the end of the run |
| Concurrency | asyncio worker pool with a shared stop signal on maxEmails |
| Resumable state | Progress is stored in the key-value store, keyed by a hash of the input, and saved on PERSIST_STATE, MIGRATING and ABORTING |
| Run summary | Logs pages fetched, blocked pages, retries and emails per page |
How the Booking.com Email Scraper works
The pipeline is short and fully inspectable. The Booking.com Email Scraper reads your input, builds
Google queries with the site: operator, fetches result pages through the Apify GOOGLE_SERP
proxy using aiohttp, and parses each result block structurally.
Emails are extracted from the block text with a domain-filtered regular expression, normalised, deduplicated globally and pushed to the Apify dataset immediately. There is no browser, no JavaScript rendering, no authentication and no cookies.
A base query looks like this, with your keyword and one of your email domains:
site:booking.com hotel "@gmail.com" "Lisbon"
Query expansion inside the Booking.com Email Scraper
Google caps a single query at roughly 300 results, so pagination depth alone can never fill a large
list. Coverage in the Booking.com Email Scraper comes from query diversity, which is why
expandQueries defaults to true.
Each keyword × domain pair runs as a base query, a quoted query, an intitle: query, and one extra
query per entry in queryModifiers. The Booking.com defaults are email, contact, reservations,
group bookings and owner.
Base queries always run first, so a short run with a low maxEmails finishes on the strongest
phrasings. Because deduplication is global, expansion can only add property leads, never repeat them.
Destination-led prospecting with location and countryCode
location is a genuine lever. The phrase you supply is quoted and appended to every query, so
"Amsterdam" or "Costa Brava" narrows the whole Booking.com Email Scraper run to one
accommodation market.
countryCode points the search proxy at a two-letter country such as US, GB, NL or ID,
which changes which localised Booking.com pages Google surfaces. Pairing a city in location with
its country in countryCode is the most reliable way to build a market-by-market hotel list.
Input fields of the Booking.com Email Scraper
| Field | Type | Default | Meaning |
|---|---|---|---|
keywords | array (required) | ["hotel", "guest house"] | Search terms describing the Booking.com pages you want |
location | string | "" | Optional location phrase added to every query |
customDomains | array | ["@gmail.com", "@yahoo.com"] | Only emails on these domains are kept; the @ is optional |
maxEmails | integer 1–10000 | 20 | Stop after this many unique emails |
countryCode | string | "" | Two-letter country for the search proxy (US, GB, DE…) |
expandQueries | boolean | true | Search each keyword × domain pair in several phrasings |
queryModifiers | array | ["email", "contact", "reservations", "group bookings", "owner"] | Extra words combined with each keyword when expansion is on |
maxPagesPerQuery | integer 1–50 | 30 | Page cap per query |
maxConcurrency | integer 1–20 | 5 | Parallel queries |
Example input for the Booking.com Email Scraper
{"keywords": ["hotel", "guest house", "boutique hotel"],"location": "Amsterdam","customDomains": ["@gmail.com", "@yahoo.com", "@hotmail.com"],"maxEmails": 250,"countryCode": "NL","expandQueries": true,"queryModifiers": ["email", "contact", "reservations", "group bookings", "owner"],"maxPagesPerQuery": 30,"maxConcurrency": 5}
Independent hotels and guest houses very often publish a free-mail reservations address, which is
why the defaults work well here. Add @hotmail.com or a country domain to widen the catch.
Output fields of the Booking.com Email Scraper
Every dataset item the Booking.com Email Scraper pushes carries all fourteen fields below — no optional keys, no schema drift between runs.
| Field | Meaning |
|---|---|
network | Platform name |
keyword | The keyword that produced the lead |
query | The exact Google query used |
title | Raw result title |
accountName | Account label Google prints (handle or property name) |
fullName | Display name parsed from a profile-style title; empty for search and city pages |
username | URL-safe handle when Booking.com exposes one; otherwise null |
profileUrl | Canonical property URL when a handle is known; otherwise empty |
url | Direct Booking.com link when exposed, else the profile URL |
description | Snippet text, cleaned of labels and counters |
email | Lower-cased email address |
emailDomain | The matched domain (e.g. @gmail.com) |
possiblyTruncated | true when Google's snippet ellipsis touched the email |
foundAt | ISO 8601 UTC timestamp |
Example output from the Booking.com Email Scraper
[{"network": "Booking.com","keyword": "hotel","query": "site:booking.com hotel reservations \"@gmail.com\" \"Amsterdam\"","title": "Canal View Hotel, Amsterdam - Booking.com","accountName": "nl/canal-view","fullName": "Canal View Hotel","username": "nl/canal-view","profileUrl": "https://www.booking.com/hotel/nl/canal-view.html","url": "https://www.booking.com/hotel/nl/canal-view.html","description": "Family-run canal hotel. Reservations: canalview.reservations@gmail.com","email": "canalview.reservations@gmail.com","emailDomain": "@gmail.com","possiblyTruncated": false,"foundAt": "2026-08-31T10:02:18Z"},{"network": "Booking.com","keyword": "guest house","query": "site:booking.com guest house group bookings \"@yahoo.com\" \"Amsterdam\"","title": "Guest houses in Amsterdam - Booking.com","accountName": "Guest houses in Amsterdam","fullName": "","username": null,"profileUrl": "","url": "https://www.booking.com/city/nl/amsterdam.html","description": "Group bookings for De Oude Gracht guest house: deoudegracht@yahoo.com","email": "deoudegracht@yahoo.com","emailDomain": "@yahoo.com","possiblyTruncated": true,"foundAt": "2026-08-31T10:02:41Z"}]
The second row is the common case on this platform. It came from a city page, so username is
null and profileUrl is empty — the email is still usable, but the Booking.com Email Scraper
cannot attach a property handle to it, and possiblyTruncated warns the address may be cut short.
Use cases for the Booking.com Email Scraper
| Use case | How the Booking.com Email Scraper helps |
|---|---|
| PMS and channel manager sales | Find independent hotels publishing a reservations address |
| Direct-booking tool outreach | Reach properties that already promote direct enquiries |
| Hotel supplier prospecting | Build a destination list for linen, amenity and F&B vendors |
| OTA supply recruitment | Source guest houses and small hotels not yet on your marketplace |
| Group and MICE sales | Target properties advertising a group-bookings inbox |
| Destination marketing | Map accommodation stock for a DMO or tourism board campaign |
| Travel PR and media | Contact hotels that publish a press or enquiries address |
| Hospitality market research | Sample how properties in a city present contact information |
Worked example: a city-level hotel contact list
Set keywords to ["hotel", "guest house", "apartment"], location to "Porto" and countryCode
to PT. Leave expansion on, raise maxEmails to 300 and let the Booking.com Email Scraper clear
the base queries before the modifier variants.
Worked example: group-bookings prospecting
Trim queryModifiers to ["group bookings", "reservations", "email"] and keep keywords to
["hotel"]. The Booking.com Email Scraper then concentrates on the pages where properties advertise
an inbox for group enquiries.
Expected results from the Booking.com Email Scraper
In live measurement, about 10 results parsed by the Booking.com Email Scraper produced roughly 2 identity rows, 1 profile URL and 7 unique emails. Email volume is solid; handle resolution is the weakest part of this platform.
Plan your workflow around the email as the primary key and treat profileUrl as a bonus. Yield
still varies with keywords, email domains and location, and no volume is guaranteed.
Limitations of the Booking.com Email Scraper
- Booking.com routes guest contact through its own messaging and indexes city and search pages heavily, so most rows carry a property email without a resolvable property handle.
- Only properties whose email is publicly visible in Google's index can be found by the Booking.com Email Scraper.
- Google caps a single query at roughly 300 results, which is exactly why query expansion exists.
possiblyTruncated: truemeans Google's snippet ellipsis may have cut the address — verify it.usernameandprofileUrlare populated only when Google's result exposes a handle. Many rows carryaccountNamewith an empty handle. That is a Google limitation, not a bug.- The Booking.com Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
- Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
- Results vary with keywords, domains and location, and no volume is guaranteed.
Responsible use and GDPR
Addresses returned by the Booking.com Email Scraper are business contact points that properties published for reservations and group enquiries, so treat them as B2B outreach data. Identify yourself, say why you are writing and honour opt-outs immediately.
Under GDPR and comparable regimes you need a lawful basis — usually legitimate interest — plus a transparent privacy notice and a working unsubscribe path. Do not repurpose hotel contact data for unrelated consumer marketing.
FAQ about the Booking.com Email Scraper
How many results should I expect from the Booking.com Email Scraper?
In measured live runs, roughly every 10 parsed results gave about 2 identity rows, 1 profile URL and 7 unique emails. Volume is never guaranteed and moves with keywords, domains and location.
Why do so few rows have a username or profileUrl?
Booking.com routes guest contact through its own messaging and Google indexes its city and search pages heavily, so many results are not individual property pages. Those rows still carry an email, just no resolvable handle.
Does the Booking.com Email Scraper log in or use the Booking.com API?
No. The Booking.com Email Scraper does not log in, does not open the Booking.com website and does not use any Booking.com API. All data comes from publicly indexed Google search results.
Which email domains should I use?
Start with @gmail.com and @yahoo.com, then add @hotmail.com, @outlook.com or a country
domain. Every extra domain multiplies the queries the Booking.com Email Scraper runs.
Can I limit the Booking.com Email Scraper to one city or country?
Yes. location appends a quoted phrase to every query and countryCode sets the proxy's two-letter
country, which together give destination-led hotel prospecting.
Do I need a proxy to run the Booking.com Email Scraper?
Yes. It runs through the Apify GOOGLE_SERP proxy and cannot operate without Apify proxy credentials.
What does possiblyTruncated mean?
It flags a row where Google's snippet ellipsis touched the email, so the address may be incomplete. Verify those rows before you send anything.
How do I get more property emails?
Keep expandQueries on, add keywords such as apartment, hostel or bed and breakfast, add more
email domains, raise maxEmails, and run several narrow city runs rather than one global run.
Is there a free-plan limit on the Booking.com Email Scraper?
Free Apify plans stop at 100 emails per run. Paid plans are uncapped, subject to Google's own per-query ceiling.
Can I resume an interrupted Booking.com Email Scraper run?
Yes. Progress is stored in the key-value store keyed by a hash of your input and saved on Apify's
PERSIST_STATE, MIGRATING and ABORTING events.
Are the emails verified?
No. The Booking.com Email Scraper reports what Google's index shows, lower-cased and normalised.
Run your own validation before a campaign, especially on rows flagged possiblyTruncated.
Is the Booking.com Email Scraper affiliated with Booking.com?
No. It is an independent tool that reads public Google search results and is not endorsed by or connected to Booking.com.
Related Actors
Every Actor below runs the same engine against a different Travel, Hospitality & Food platform. For broader accommodation coverage, pair this with the Tripadvisor Hotels Email Scraper and the Airbnb Email Scraper.
For budget stock add the Hostelbookers Email Scraper; in Southeast Asia and the Middle East the Traveloka Email Scraper and Wego Email Scraper cover regional inventory.
The HotelsCombined Email Scraper adds a metasearch angle on top.
| Actor | What it collects |
|---|---|
| Booking.com Email and Phone Number Scraper | Emails and phone numbers from Booking.com |
| Booking.com Phone Number Scraper | Public phone numbers from Booking.com |
| Airbnb Email Scraper | Public contact emails from Airbnb |
| Caviar Email Scraper | Public contact emails from Caviar |
| ChowNow Email Scraper | Public contact emails from ChowNow |
| Contiki Email Scraper | Public contact emails from Contiki |
| Craigslist Email Scraper | Public contact emails from Craigslist |
| Delivery.com Email Scraper | Public contact emails from Delivery.com |
| DoorDash Email Scraper | Public contact emails from DoorDash |
| EatStreet Email Scraper | Public contact emails from EatStreet |
| G Adventures Email Scraper | Public contact emails from G Adventures |
| GetYourGuide Email Scraper | Public contact emails from GetYourGuide |
| Grubhub Email Scraper | Public contact emails from Grubhub |
| Hostelbookers Email Scraper | Public contact emails from Hostelworld |
| HotelsCombined Email Scraper | Public contact emails from HotelsCombined |
| Intrepid Travel Email Scraper | Public contact emails from Intrepid Travel |
| Just Eat Email Scraper | Public contact emails from Just Eat |
| Klook Email Scraper | Public contact emails from Klook |
| OpenTable Email Scraper | Public contact emails from OpenTable |
| Resy Email Scraper | Public contact emails from Resy |
| TheFork Email Scraper | Public contact emails from TheFork |
| Toast Restaurant Email Scraper | Public contact emails from Toast |
| TourRadar Email Scraper | Public contact emails from TourRadar |
| Traveloka Email Scraper | Public contact emails from Traveloka |
| Tripadvisor Attractions Email Scraper | Public contact emails from Tripadvisor |
| Tripadvisor Hotels Email Scraper | Public contact emails from Tripadvisor |
| Tripadvisor Restaurants Email Scraper | Public contact emails from Tripadvisor |
| Uber Eats Email Scraper | Public contact emails from Uber Eats |
| Viator Email Scraper | Public contact emails from Viator |
| Wanderlog Email Scraper | Public contact emails from Wanderlog |
| Wego Email Scraper | Public contact emails from Wego |
| Zomato Email Scraper | Public contact emails from Zomato |
| Airbnb Email and Phone Number Scraper | Emails and phone numbers from Airbnb |
| Caviar Email and Phone Number Scraper | Emails and phone numbers from Caviar |
| ChowNow Email and Phone Number Scraper | Emails and phone numbers from ChowNow |
| Contiki Email and Phone Number Scraper | Emails and phone numbers from Contiki |
| Craigslist Email and Phone Number Scraper | Emails and phone numbers from Craigslist |
| Delivery.com Email and Phone Number Scraper | Emails and phone numbers from Delivery.com |
| DoorDash Email and Phone Number Scraper | Emails and phone numbers from DoorDash |
| EatStreet Email and Phone Number Scraper | Emails and phone numbers from EatStreet |
| G Adventures Email and Phone Number Scraper | Emails and phone numbers from G Adventures |
| Grubhub Email and Phone Number Scraper | Emails and phone numbers from Grubhub |
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