Airbnb & Booking Toronto STR Registration Checker

🏠 What is Airbnb & Booking Toronto STR Registration Checker?

Airbnb & Booking Toronto STR Registration Checker checks the short-term rental registration number (STR-YYMM-XXXXXX) that each Airbnb listing and each Booking.com property in Toronto displays against the City of Toronto's open register, and tells you whether it is valid, never issued, not an active registration, or the number of another property. Each result also gives what the register knows — the exact registered address with the unit number (which Airbnb hides), the property type, the ward, the month of issue — the official point of that address on the City's map with its distance to the listing, and the listing's own details (host, capacity, rating, amenities, price).

Type a place (Toronto, Ontario, Canada) and choose where to search it — Airbnb, Booking.com or both — draw a map area, paste Airbnb URLs, listing IDs or Booking.com URLs, give registration numbers alone — or list the register itself, ward by ward — click Start, and download the results in JSON, CSV or Excel. No login, nothing to set up. Built for the City and its inspectors, condo boards and property managers, neighbours' associations, insurers, investors and journalists.

📋 What data can you extract from Airbnb, Booking.com and Toronto's short-term rental register?

One item per listing checked (or per registration number given alone, or per record of the register), 133 fields:

Category	What you get
✅ Verdict	valid, never issued, not in the register, other property, unknown format, no number, exempt claimed, outside Toronto… with the reasons and one plain sentence
🪪 Registration number	the number shown on the listing and its register spelling, the other numbers shown (a building on Booking.com, a neighbouring city's licence), the exemption claimed, other listings of the run showing the same number — on Airbnb or on Booking.com
🏛️ Official register	the exact registered address with its unit (251 Jarvis St, Unit 315), postal code (3 characters), property type, ward, month of issue, the other numbers of the same unit, the registrations at the same address, a link to the record, the date of the register
📍 On the map	the official point of the registered address (the City's address points) and its distance to the listing's point on Airbnb
🏠 Listing	title, type of place, city, position, whether Airbnb pins it exactly, guests, bedrooms, beds, bathrooms, rating and sub-ratings, badges, highlights, house rules and the host's additional rules, where you'll sleep, description, amenities, photos; on Booking.com: street address, every licence number and sentence shown, professional or private host
👤 Host	name, profile link, business or individual, verified, years hosting, response rate and time, rating, reviews, co-hosts, how many listings they manage
📅 Availability calendar (option)	nights open and nights booked or blocked over 12 months, per month and per day, and whether the listing is open more than the 180 nights a year Toronto allows for an entire home
🎯 Risk score (option)	a score from 0 to 100 per listing and the short codes of the rules behind it: the verdict, a number shown twice, a registered address far from the listing, a host with several listings, a calendar open past 180 nights…
🏢 Professional host contact (option)	business email and phone of professional Airbnb hosts, from publicly available sources
☎️ Business contact (option)	the business e-mail and phone Booking.com shows for a professional host
📷 Photos (option)	the first photos of each listing kept in the run's storage, with their public links, their SHA-256 and the time of the download — a dated copy; the photo links stay free
⚡ Cards only (option)	the card of each Airbnb search result — link, title, type, price, rating, position, bedrooms — without opening the listing, so without a number or a verdict
🏘️ Comparables (option)	the nearest Airbnb listings of the same type and size around each Airbnb listing, with their price per night, rating and distance, and their median price
💰 Revenue estimate (option)	an estimate of the nights blocked in the calendar, the revenue they would make at the price per night searched, and the share of the calendar blocked
🏷️ AI labels (option)	five yes / no labels read in the description of an Airbnb listing — managed by a company, self check-in, monthly stays, host not living there, licence mentioned — with their scores
💵 Price	total price of the stay, price per night, price breakdown, dates (from the search results)

Every field, with an example, is listed in the Output section below.

✅ Why use Airbnb & Booking Toronto STR Registration Checker?

• 🏛️ The City's own register, not a format check: each number is looked up in the City of Toronto's open data (Short Term Rentals Registration), downloaded fresh at each run — 8,700+ active registrations.
• 📍 The exact address Airbnb hides: the registered street address with its unit number, placed on the City's own address map — not an address guessed from Airbnb's blurred point.
• 🔎 Finds what a glance cannot: numbers of a month the City never issued in, numbers that are no longer active (expired or cancelled), numbers registered far from the listing, the same number on several listings, the same flat registered twice.
• 🗂️ Eight ways in, in one run: places (on Airbnb, Booking.com or both), map areas, search URLs, listing URLs, listing IDs, Booking.com URLs, registration numbers alone — and the register itself, ward by ward.
• 🏨 Airbnb and Booking.com side by side: the same register and the same verdicts for both sites; a number shown by listings of both sites is flagged in numberSharedWith.
• 🗺️ Whole city: Airbnb shows 270 listings per search; a full area is cut into smaller ones automatically to reach the others. Listings of neighbouring cities (Mississauga, Vaughan, Markham) are told apart by their point on the map.
• 🔔 Monitoring built in: tick Only new listings, schedule the Actor, and each run returns (and charges) only the listings it has never delivered before.
• 🔌 API, scheduling, integrations (Make, Zapier, n8n, Google Sheets…) and JSON/CSV/Excel export via the Apify platform.

🚀 How to check Airbnb registration numbers in Toronto

1. Create a free Apify account.
2. Open Airbnb & Booking Toronto STR Registration Checker and type a Place (e.g. Toronto, Ontario, Canada).
3. Choose the Sites searched for your places: Airbnb (default), Booking.com, or both.
4. Or paste Airbnb URLs (search results or single listings), listing IDs, Booking.com URLs, map areas, registration numbers to check without any listing, or pick wards of the register.
5. Set Max results (100 by default, 0 = no limit) — and keep only the suspicious listings with Keep only these verdicts — then click Start.
6. Download the dataset in JSON, CSV, Excel or via API.

💰 How much does it cost to check Airbnb registration numbers?

This Actor uses pay per event pricing: a price per result — one for an Airbnb listing checked (airbnb-listing), one for a Booking.com property checked (booking-listing), one for a registration number given alone or a record of the register (register-record), one for a card alone (listing-card, the only price of a run with Cards only (fast)), one for a photo downloaded (photo-download, one per photo delivered, charged only once the Pricing tab lists it), one for a business contact (business-contact, one per Booking.com property whose row carries an e-mail or a phone, charged only once the Pricing tab lists it), one for a professional host contact (pro-host-contact, one per Airbnb listing whose row carries an e-mail or a phone of the host's company, charged only once the Pricing tab lists it) — a small fee per run start, a fee for the official address of a listing found in the register (register-match, on top of its result, charged only once the Pricing tab lists it), a fee per host profile (Host's listing count, one per host whose profile reaches your results, not per listing), a fee per availability calendar (listing-calendar, charged only once the Pricing tab lists it), a fee per risk score (risk-score, one per listing whose row carries a score, charged only once the Pricing tab lists it), a fee per listing given its AI labels (ai-labels, charged only once the Pricing tab lists it), a fee per listing given its comparables (comparables, charged only once the Pricing tab lists it), a fee per listing given its revenue estimate (revenue-estimate, charged only once the Pricing tab lists it, on top of the calendar it reads) and a lower fee for each listing a filter of the Actor drops — filter-check when the search results are enough to drop it (minimum rating, host type, excluded words), detail-filter-check when its page and the register had to be read (verdicts, wards, property types; also a number or a register record these filters drop). A listing you keep costs its normal price: filtering never costs more than taking everything. With a maximum cost per run, the listings already kept are paid first: the filter checks only spend what they leave. The prices are shown on the Pricing tab of this page. Platform usage (compute, proxy) is included in the price.

⚙️ Input

A place, only the listings whose number does not match the register:

{
    "location": "Toronto, Ontario, Canada",
    "maxItems": 200,
    "onlyVerdicts": ["never_issued", "not_in_register", "other_property", "unknown_format", "no_number"]
}

Several places and a map area, a cap per search, only the listings not delivered before:

{
    "locations": ["Scarborough, Toronto", "Etobicoke, Toronto"],
    "boundingBoxes": ["43.63, -79.41, 43.66, -79.37"],
    "maxItems": 300,
    "maxItemsPerQuery": 100,
    "onlyNew": true,
    "memoryName": "toronto-weekly"
}

Both sites for the same places, Booking.com apartments and holiday homes only:

{
    "locations": ["Toronto", "North York, Toronto"],
    "sources": ["airbnb", "booking"],
    "bookingPropertyTypes": ["apartment", "holiday_home"],
    "maxItems": 400,
    "maxItemsPerQuery": 100
}

Your own URLs, listing IDs, Booking.com URLs, and registration numbers alone:

{
    "startUrls": [
        { "url": "https://www.airbnb.com/s/Toronto--Ontario--Canada/homes?adults=2" },
        { "url": "https://www.airbnb.ca/rooms/1776209588793137546" }
    ],
    "listingIds": ["1756004805350768453"],
    "bookingUrls": ["https://www.booking.com/hotel/ca/urban-nest-toronto.html"],
    "licenseNumbers": ["STR-2608-JGXPVZ", "STR-2301-GHRRVS", "str 2607 grwhvt"],
    "maxItems": 500
}

The register itself: the condominiums registered since January 2026 in two downtown wards, each placed on the map:

{
    "registerWards": ["spadina-fort-york", "toronto-centre"],
    "registeredAfter": "2026-01-01",
    "registerPropertyTypes": ["condominium"],
    "maxItems": 1000
}

Field	Notes
startUrls	Airbnb search results pages (filters kept, pagination and map splitting automatic) or single listing pages, any Airbnb domain.
listingIds	Airbnb listing IDs alone (the digits after /rooms/). Checked in the order given and before any search: with maxItems, the first ones are the ones saved.
bookingUrls	Booking.com property pages (e.g. https://www.booking.com/hotel/ca/urban-nest-toronto.html, any language version), checked in the order given, like listing IDs.
location, locations	Places as typed in the site's search box (e.g. Toronto, Ontario, Canada, Scarborough, Toronto); one search each and per site.
sources	Sites the places are searched on: airbnb (default), booking, or both. Airbnb URLs, IDs and map areas always go to Airbnb, Booking.com URLs to Booking.com.
boundingBoxes	Map rectangles south, west, north, east (e.g. 43.63, -79.41, 43.66, -79.37): the surest way to cover a whole area.
licenseNumbers	Registration numbers checked against the register without any listing (e.g. STR-2608-JGXPVZ; spaces, lower case and missing dashes are accepted). One result per registration: two spellings of the same number are checked once.
registerWards	Records of the register itself for these wards (spadina-fort-york, toronto-centre… or all): address with unit, property type, month of issue, point on the map — no Airbnb search. Newest first.
registeredAfter	For registerWards: registrations issued in this month or later (e.g. 2026-01-01: January 2026 onward; the month is read in the number).
registerPropertyTypes	Only these property types of the register: condominium, house, apartment, townhouse, multiplex (register records and listings; a listing not found in the register has no type and is dropped).
maxItems	Stop after this many results for the whole run (0 = unlimited).
maxItemsPerQuery	Cap for EACH search (place and site, map area or search URL) and each ward named in registerWards (with all, one cap for the whole register, newest first). 0 = no per-search cap — except when the run searches both sites: maxItems (less the numbers checked alone) is then shared evenly between the searches.
splitMap	Cut a full Airbnb search (270 listings) into smaller map areas, and read a Booking.com search over 1,000 properties district by district, to reach the others (default on).
checkIn, checkOut, adults, children, infants, pets	Travel dates and guests sent to Airbnb's search (e.g. 2027-07-12, today or later in Toronto); the price of the stay then follows them, and checkIn / checkOut of each listing are these dates.
currency, priceMin, priceMax	Currency of the prices (CAD by default, also USD, EUR, GBP; a pasted search URL keeps its own currency, and each row names it) and price per night bounds.
roomTypes	Airbnb's type of place: entire_home, private_room, shared_room, hotel_room.
propertyTypes	Airbnb's property type: house, apartment, guesthouse, hotel.
minBedrooms, minBeds, minBathrooms, superhostOnly	Airbnb's own filters: at least this many rooms, Superhosts only.
bookingPropertyTypes	Kinds of Booking.com properties searched: apartment, holiday_home, villa (default), also chalet, country_house, farm_stay, guesthouse, homestay, bed_and_breakfast, condo_hotel, hotel, hostel.
onlyVerdicts	Keep only the listings with these verdicts (e.g. never_issued, not_in_register, other_property).
wards	Keep only the listings of these wards (spadina-fort-york, toronto-centre…; other = outside Toronto; a listing whose ward is unknown is dropped).
hostType	any, business or individual hosts (Booking.com: professional or private, as the host declared).
minRating, excludeKeywords	Minimum rating out of 5 (Booking.com scores out of 10 are halved); words that drop a listing whose title contains them.
gpsToleranceKm	Distance above which the registered address is another property (0.5 km by default: Airbnb blurs positions by about 150 m).
includeHostProfile	Read each Airbnb host's profile once for the number of listings they manage (default off: charged per host profile).
includeCalendar	Read each Airbnb listing's availability calendar, 12 months (default off: charged per listing with its calendar).
includeRiskScore	Give each listing a risk score from 0 to 100 and its reasons (default off: charged per listing whose row carries a score).
includeProHostContact	Add the business e-mail and phone of professional Airbnb hosts, from publicly available sources (default off: charged per listing given a contact; never a private person).
includeBusinessContact	Add the business e-mail and phone Booking.com shows for a professional host (default off: charged per property given a contact; Airbnb and the register give none).
downloadPhotos, maxPhotosPerListing	Download the first photos of each listing into the run's storage and give their links, hashes and date (default off: charged per photo delivered; the second field is the number of photos per listing, 5 by default).
cardsOnly	Deliver only the card of each Airbnb search result and open no listing (default off: no number, no verdict; a price per card, nothing else charged).
includeComparables, maxComparablesPerListing	Add the neighbouring Airbnb listings of each Airbnb listing and their median price per night (default off: charged per listing given comparables; the second field is the most kept per listing, 10 by default).
includeRevenueEstimate	Estimate each Airbnb listing's revenue from its calendar and its price per night (default off: needs checkIn and checkOut, reads the calendar too; charged per listing given an estimate).
includeAiLabels	Label the description of each Airbnb listing with five AI labels (default off: charged per listing given its labels; needs 2 GB of memory, otherwise skipped and not charged).
onlyNew, memoryName, resetState	Monitoring: only the listings never delivered under this memory name; resetState forgets the memory.
Advanced	proxyConfiguration (Apify proxy by default, included in the price; the residential proxy is not available), maxConcurrency, maxRequestsPerMinute, minRequestIntervalMs, maxRequestRetries, debugLog.

📦 Output

A real result (shortened: some fields and list entries left out):

{
    "id": "1776209588793137546",
    "source": "airbnb_listing",
    "url": "https://www.airbnb.com/rooms/1776209588793137546",
    "title": "Spacious 3-bedroom in Heart of Downtown Toronto",
    "verdict": "valid",
    "verdictReasons": [],
    "verdictNote": "STR-2608-JGXPVZ is registered at 251 Jarvis St, Unit 315, Toronto, ON M5B.",
    "isSuspicious": false,
    "region": "toronto-centre",
    "registrationText": "STR-2608-JGXPVZ",
    "licenseNumber": "STR-2608-JGXPVZ",
    "licenseNumberNormalized": "STR-2608-JGXPVZ",
    "otherLicenseNumbers": [],
    "licensePhrases": [],
    "numberSharedWith": [],
    "registerFound": true,
    "registerNumber": "STR-2608-JGXPVZ",
    "registerAddress": "251 Jarvis St, Unit 315, Toronto, ON M5B",
    "registerStreetAddress": "251 Jarvis St",
    "registerUnit": "315",
    "registerPostalCode": "M5B",
    "registerPropertyType": "Condominium",
    "registerWardNumber": 13,
    "registerWardName": "Toronto Centre",
    "registerIssuedMonth": "2026-08",
    "registerLatitude": 43.6573245563455,
    "registerLongitude": -79.3743321100694,
    "distanceKm": 0.02,
    "registerSameUnitNumbers": [],
    "registerNumbersAtAddress": 4,
    "registerSource": "City of Toronto Open Data — Short Term Rentals Registration",
    "registerUpdatedAt": "2026-09-27",
    "registerAttribution": "Contains information licensed under the Open Government Licence – Toronto.",
    "propertyType": "Entire apartment",
    "roomType": "Entire home/apt",
    "city": "Toronto",
    "latitude": 43.6574,
    "longitude": -79.3745,
    "isExactLocation": true,
    "personCapacity": 7,
    "bedrooms": 3,
    "rating": 5,
    "reviewsCount": 2,
    "badges": [],
    "highlights": ["Self check-in"],
    "houseRules": ["Check-in after 16:00", "Checkout before 11:00", "7 guests maximum"],
    "sleepingArrangements": ["Bedroom 1: 1 queen bed", "Bedroom 2: 1 queen bed"],
    "amenities": ["Free washer – In unit", "Dishwasher"],
    "images": [
        "https://a0.muscache.com/im/pictures/hosting/Hosting-1776209588793137546/original/ec361e41-ffc7-419c-9694-0f72e9f7d361.jpeg"
    ],
    "hostName": "Allen",
    "hostType": "individual",
    "coHosts": ["Will"],
    "hostListingIds": [],
    "calendarMonths": [],
    "calendarDays": [],
    "priceDetails": [],
    "riskReasons": [],
    "riskChecksSkipped": [],
    "comparables": [],
    "photoFiles": [],
    "photoSha256": [],
    "proHostEmails": [],
    "proHostPhones": [],
    "scrapedAt": "2026-09-28T08:14:05.512Z"
}

A Booking.com property (shortened: the Airbnb-only fields are null or empty):

{
    "id": "booking-16731727",
    "source": "booking_listing",
    "url": "https://www.booking.com/hotel/ca/urban-nest-toronto.html",
    "title": "Urban Nest",
    "verdict": "valid",
    "verdictReasons": [],
    "verdictNote": "STR-2509-HZYFBZ is registered at 270 Wellington St W, Unit 1102, Toronto, ON M5V.",
    "isSuspicious": false,
    "region": "spadina-fort-york",
    "registrationText": "License number: STR-2509-HZYFBZ",
    "licenseNumber": "STR-2509-HZYFBZ",
    "licenseNumberNormalized": "STR-2509-HZYFBZ",
    "otherLicenseNumbers": [],
    "licensePhrases": ["License number: STR-2509-HZYFBZ"],
    "numberSharedWith": [],
    "registerFound": true,
    "registerNumber": "STR-2509-HZYFBZ",
    "registerAddress": "270 Wellington St W, Unit 1102, Toronto, ON M5V",
    "registerUnit": "1102",
    "registerPropertyType": "Condominium",
    "registerWardName": "Spadina-Fort York",
    "registerIssuedMonth": "2025-09",
    "distanceKm": 0.1,
    "registerNumbersAtAddress": 2,
    "propertyType": "Apartment",
    "city": "Toronto",
    "address": "270 Wellington St W",
    "rating": 3.4,
    "reviewsCount": 18,
    "hostType": "individual",
    "isTrader": false,
    "bookingId": "16731727",
    "bookingPageName": "urban-nest-toronto",
    "searchUrl": "https://www.booking.com/searchresults.html?ss=Toronto&nflt=ht_id%3D201%3Bht_id%3D220%3Bht_id%3D213&page=1",
    "scrapedAt": "2026-09-28T08:14:05.512Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV or Excel. The Overview, Register record and Hosts and business details views of the Output tab show the main columns.

All 133 fields

Fields	What you get
id, source, url, title	Result: Airbnb id, booking- + the Booking.com property id, the number given alone, or register- + the number of a register record; airbnb_listing / booking_listing / license_number / register_list; link; title (for a number or a record: its registered address)
verdict, verdictReasons, verdictNote, isSuspicious, region	Verdict: see the table of verdicts below; the reasons found; one sentence; the ward (other = outside Toronto)
registrationText, licenseNumber, licenseNumberNormalized, otherLicenseNumbers, exemption, licensePhrases, numberSharedWith	Registration number: the block as shown, the number as written and in the register's spelling (STR-YYMM-XXXXXX, the key of the check), the other numbers shown, the exemption claimed, the Booking.com sentences, the other listings of the run with the same number
registerFound, registerNumber, registerAddress, registerStreetAddress, registerUnit, registerPostalCode	Register: found or not, the number, the full address, the street address, the unit (315, Upper Unit, BSMT), the postal code's 3 characters
registerPropertyType, registerWardNumber, registerWardName, registerIssuedMonth	property type as registered, ward, month of issue read in the number
registerLatitude, registerLongitude, distanceKm	the official point of the registered address (the City's address points) and its distance to the listing
registerSameUnitNumbers, registerNumbersAtAddress	other numbers registered at the same address and unit; registrations at the same address, all units
registerUrl, registerSource, registerUpdatedAt, registerCheckedAt, registerAttribution	link to the record in the City's open data, source, date of the register, time of its download, the attribution the City's licence asks for
propertyType, roomType, city, address, latitude, longitude, isExactLocation, locationText, locationDescription	Listing: Entire apartment, Entire home/apt, city, street address (Booking.com), position (blurred by Airbnb), whether Airbnb pins the exact place, area, the host's text about the neighbourhood
personCapacity, bedrooms, beds, bathrooms, sleepingArrangements	guests, rooms, where you'll sleep
rating, reviewsCount, ratingAccuracy, ratingCheckin, ratingCleanliness, ratingCommunication, ratingLocation, ratingValue	ratings out of 5 (Booking.com's score out of 10, halved) and number of reviews
isSuperhost, isGuestFavorite, isNewListing, homeTier, badges, highlights	Superhost, Guest favourite, new listing, tier, search badges, highlights
description, descriptionLanguage, houseRules, houseRulesAdditional, amenities, images	full description, its language, house rules, the host's additional rules, amenities, photo links
hostId, hostName, hostUrl, hostType, isTrader, hostIsVerified, hostYearsHosting	Host: id, name, profile link, business / individual, professional host on Booking.com, verified, years hosting
hostResponseRate, hostResponseTime, hostRating, hostReviewsCount, hostAbout, hostPictureUrl, hostLocation, coHosts	response rate and time, rating and reviews over all their listings, presentation, photo, where they live, co-hosts
hostListingsCount, hostListingIds	how many listings they manage, the IDs their profile shows (10 at most)
calendarFrom, calendarTo, calendarNightsOpen, calendarNightsBlocked, calendarOver180Nights, calendarMinNights, calendarMonths, calendarDays	Availability calendar (option): the 12 months read, nights open and not, more than 180 open nights, minimum stay, by month and by day
businessName, businessRegistry, businessTaxId, businessEmail, businessPhone, businessAddress	Business host details, when the host shows them; the e-mail and the phone of a Booking.com professional host are the Business contact option
price, currency, pricePerNight, priceText, priceDetails, priceNights, checkIn, checkOut	Price from the search results: total, currency, per night, as shown, breakdown, nights, dates
bookingId, bookingPageName	Booking.com: the property id and the name of its page
riskScore, riskReasons, riskChecksSkipped	Risk score (option): 0 to 100, the codes of the rules that gave it, the rules that could not play for lack of data
photoFiles, photoSha256, photosDownloadedAt	Photos (option): the public links of the photos kept in the run's storage, their SHA-256, the time of the download
proHostCompany, proHostWebsite, proHostEmails, proHostPhones, proHostContactSourceUrl, proHostContactConfidence	Professional host contact (option): the company of a professional Airbnb host, its website, its business e-mails and phones, the page they come from, how sure the contact is
comparables, comparablesMedianPrice	Comparables (option): the nearest Airbnb listings of the same type within one bedroom (id, link, price per night, currency, bedrooms, rating, distance) and their median price per night
estimatedNightsBooked12m, estimatedRevenue12m, estimatedOccupancy, revenueCurrency	Revenue estimate (option): nights blocked in the calendar, their revenue at the price per night searched, the share of the calendar blocked, the currency
aiLabels, aiLabelScores	AI labels (option): five yes / no labels read in the description and the confidence behind each
searchUrl, scrapedAt	the search the listing was found by, time of the check

💡 Tips

What each verdict means

When a listing has several problems, its verdict is the highest one in this table, and verdictReasons lists them all.

Verdict	Meaning
valid	The number is an active registration of the register, and the registered address is near the listing's point (when both are known: otherwise verdictNote says what could not be checked).
never_issued	The number carries a month the City never issued in: month 00 or over 12, before the register opened (September 2020), or still to come. An invented number.
not_in_register	Well-formed but not an active registration: expired, cancelled, or never registered (the open register lists active registrations only, and does not say which).
other_property	The registered address is farther from the listing than Distance tolerance: the number of another home.
unknown_format	The text shown is not a City of Toronto registration number (another city's licence, free text).
no_number	The listing shows no registration number.
exempt_claimed	The listing says it is exempt (a hotel; on Booking.com, that it needs no short-term rental licence).
region_not_covered	In another country, or outside the City of Toronto (Mississauga, Vaughan, Markham…) without a Toronto number: given, not checked (a Toronto number shown just outside the City is checked).
register_unavailable	The register could not be downloaded in this run (or what came back was not the register).

How to cover the whole city

Airbnb shows at most 270 listings per search. With Split full areas on (default), a full search is cut into 4 smaller map areas, again and again, until each shows everything. A place's area is Airbnb's own map of it: add Map areas (boundingBoxes) to be sure, and check the ward of each result (region): a listing outside the City's 25 wards is given region_not_covered.

Booking.com shows at most 1,000 properties per search. With Split full areas on, a bigger search is also read district by district.

Airbnb and Booking.com

Tick both sites in Sites searched to check the same places on both: every place gives one Airbnb search and one Booking.com search, each with its own Max listings per search — left at 0, Max results (less the numbers checked alone) is shared evenly between them. A Booking.com property goes through the same register and verdicts as an Airbnb listing:

• Several numbers: a building of flats may show one registration per flat. The first is checked; all are in otherLicenseNumbers, and verdictNote says so.
• No licence needed: a property that says it needs no short-term rental licence gets exempt_claimed.
• No host profile: the host's name and profile are Airbnb's; Booking.com gives only whether the host is a professional (isTrader).

In September 2026, all 30 Booking.com properties read in Toronto showed a registration number, and all 33 numbers were in the register; 68 of 80 Airbnb listings showed one, all in the register.

Risk score (option)

Tick Risk score (0-100) to get, for each Airbnb listing and Booking.com property, one number from 0 (nothing wrong) to 100 and the codes of the rules behind it. The rules add their weights up, 100 at most, the verdict first:

Rule (code in riskReasons)	Points
Verdict never_issued (verdict_never_issued)	80
Verdict not_in_register (verdict_not_in_register)	65
Verdict other_property (verdict_other_property)	55
Verdict no_number (verdict_no_number)	50
Verdict unknown_format (verdict_unknown_format)	40
Verdict exempt_claimed (verdict_exempt_claimed)	20
Verdict region_not_covered (verdict_region_not_covered)	10
The same number shown by another listing of the run (number_shared)	20
The registered address is more than 0.3 km from the listing (distance_over_300m)	10
An entire home (entire_home)	5
The listing says an apartment where the register says a house, or the other way round (property_type_mismatch)	10
The host manages 3 listings or more (host_3_or_more_listings) / 2 listings (host_2_listings)	25 / 10
Open more than 180 nights (over_180_nights)	25
A professional host (trader_host)	20

The host's listings count only with Host's listing count ticked, the 180 nights only with Availability calendar ticked: a rule whose data is not read is skipped, named in riskChecksSkipped, and never counted as a risk. A property type or a distance the register cannot give (number not found) is skipped the same way. When the City's register could not be read in the run (register_unavailable) there is nothing to score: no score, nothing charged. It is a guide to which listings to look at first, not a finding of fault.

Business contact (option)

A professional Booking.com host (isTrader: a company, as Booking.com labels it) shows a business e-mail and phone on its property page. Tick Business contact (Booking.com) to get them in businessEmail and businessPhone — for the professional hosts only: a private host's contact is not given, and neither Airbnb nor the City's register give one ("Operator names and contact information are not included"). Hotels are professional hosts and nearly all show both; the homes searched by default are mostly private: in September 2026 about 7 properties in 100 were professional (2 of 30 Toronto homes, apartments, holiday homes and villas), against 29 of 40 once hotels and guest houses are searched too. A property is charged business-contact once, when its row carries an e-mail or a phone; a row without either costs nothing extra. These are professional contact details published by the host on Booking.com; you are responsible for using them in compliance with the applicable law (see the FAQ). Not available with Cards only (fast).

Professional host contact (option)

Airbnb shows no e-mail or phone for most hosts, and the City's register gives none. Tick Professional host contact to get the business email and phone of professional hosts, from publicly available sources: proHostEmails and proHostPhones (3 each at most, phones as +1 416 555 0100), with proHostContactSourceUrl (the page they were read from), proHostCompany and proHostWebsite, and proHostContactConfidence (high when an e-mail is on the company's own domain, medium otherwise). A host is looked up only when a company name is known: the business name Airbnb gives, or a host or co-host whose name is a company's. A host with a person's name only is never looked up, whatever the type of host or the number of listings. A company is looked up once per run, however many listings it has. When no contact is found, the listing is delivered as it is and not charged; you pay pro-host-contact once per listing whose row carries an e-mail or a phone. Not available with Cards only (fast); for Booking.com properties see Business contact.

Photos (option)

The links of a listing's photos are in images in every run, for free. Tick Download photos to also keep the photos themselves: the first Max photos per listing (5 by default) of each Airbnb listing — a Booking.com property has its main photo — are downloaded into the key-value store of your run, and the row gets photoFiles (the public link of each, in the order of the listing's photos), photoSha256 (the SHA-256 of each) and photosDownloadedAt (the time of the download). It is a dated copy of what the listing showed that day, and the hash shows that a file is the one that was downloaded. A photo that cannot be had — gone, not an image, too big — is left out and not charged; you pay photo-download for each photo delivered. Photos are the sites' own files, kept as they are: your storage grows by their weight (a few hundred KB each), and the records follow the retention of your run's storage. Not available with Cards only (fast).

Cards only (option)

Tick Cards only (fast) to get just what Airbnb shows in its search results, without opening the listings: the link, title, type of place (propertyType: Apartment, Room…), price, rating, position, bedrooms and the dates of the search. It is faster and cheaper than a full check, and the right choice to list or monitor what is offered; the rows have source set to airbnb_card and verdict set to unchecked — no registration number, no verdict, nothing from the register. A run in this mode is charged one listing-card per card, and nothing else (no check fee for a card your filters drop: minimum rating, excluded words and the dates and prices of the search still apply).

It needs a place, a map area or an Airbnb search URL. It cannot be mixed with what needs the listing page or the register — host profile, calendar, risk score, revenue estimate, comparables, AI labels, listing URLs and IDs, Booking.com, registration numbers, register wards, the host type filter (Airbnb's search results do not say it) and the filters on verdicts, wards and register property types: the run is refused at the start, naming each one.

Comparables (option)

Tick Comparable listings to get, for each Airbnb listing, comparables: the Airbnb listings around it that are of the same type of place (entire home, private room…) and within one bedroom of it, the nearest first, up to Max comparables per listing (10 by default) — each with its link, pricePerNight, bedrooms, rating and distanceKm — and comparablesMedianPrice, their median price per night. Give Check-in and Check-out to get the prices (the nightly rate of those dates, before taxes and fees, in the currency of the run); without dates the neighbours carry no price and there is no median.

The neighbours are read from the search results around the listing, not from their own pages, and one search serves all the listings of the same area (about 500 m), type of place and size: a run over a whole district costs a few searches, not one per listing (a district with every size of home costs one search per type of place and size). Airbnb shows the 18 best results of an area, so the neighbours are those of that page that fit: a quiet area may give fewer than the maximum; a listing whose type or position is unknown, or an entire home whose bedrooms are unknown, gets none. A listing is charged comparables only when its row carries at least one neighbour.

Revenue estimate (option)

Tick Revenue estimate (12 months) and give Check-in and Check-out to get, for each Airbnb listing found by a search, an estimate of what its calendar says it earns: estimatedNightsBooked12m (the nights of the calendar that are not open), estimatedRevenue12m (those nights × the pricePerNight of the dates searched, in revenueCurrency) and estimatedOccupancy (the share of the calendar blocked, 0 to 1). The option reads the listing's calendar (the same one as Availability calendar, charged as such) — but only when the run has dates: without them no card has a price per night and nothing would be estimated.

It is an estimate: a night the calendar shows as not open may be rented or simply closed by the host, Airbnb does not tell them apart (the figure is an upper bound of the nights rented), and the price is the average nightly rate of the dates you searched, not of the year. A listing given by URL or ID has no price per night: it gets no estimate and is not charged for one. The log counts the listings estimated and those left without.

AI labels (option)

Tick AI labels to have the description of each Airbnb listing read for five things, each a yes / no in aiLabels with its confidence (0 to 1) in aiLabelScores:

Label (key)	What it says	True from
managed_by_company	The listing is run by a company or a property manager	0.50
self_check_in	Guests check in by themselves (lockbox, keypad, code)	0.60
long_stay	Monthly or long stays (28 nights or more)	0.50
not_principal_residence	The host does not live in the home	0.75
mentions_licence	The text mentions a licence or a permit (not the registration block Airbnb adds)	0.50

The labels are read in the host's own text and are indications, not facts: the cut-offs are set high so that a label marked true is rarely wrong, and a host who does not write it down gets false (a long description is read to its end, up to about 6,000 characters). Checked on 40 Toronto descriptions read by hand, in September 2026 — a small sample: expect some misses and some false alarms. Only English descriptions are read: another language, a Booking.com property or a listing without a description gets null and is not charged. The option needs 2 GB of memory (Run options → Memory): on a smaller run it is skipped, the log says so, and nothing is charged. The descriptions are read one at a time, so a run with the option is slower and costs more compute; it is charged once per listing given its labels (ai-labels).

How to reduce costs

The levers are maxItems, maxItemsPerQuery, Keep only these verdicts (a listing dropped costs only the filter fee), using Cards only (fast) when you do not need the number, leaving Host's listing count, Availability calendar, Risk score (0-100), Revenue estimate (12 months), Comparable listings, Download photos, Business contact (Booking.com), Professional host contact and AI labels off (the default), onlyNew for recurring runs (you never pay twice for the same listing), and searching only the site you need.

Several searches in one run

Fill locations and / or boundingBoxes, or paste several search URLs: one search each (up to 100 places, 100 map areas and 1,000 URLs per run). A listing found by several searches is saved — and charged — once. Set maxItemsPerQuery to give every search its own cap.

Monitoring: only the new listings

Tick Only new listings (onlyNew) and schedule the Actor. The first run returns everything; each later run skips the listings already delivered: they are not saved, not charged, and their page is not even opened. The memory lives in a named key-value store of your account (airbnb-toronto-license-checker-seen, up to 150,000 listings per memory name) and is only updated with listings that really reached the dataset, plus, apart, the ones your filters dropped: a listing your filters drop is checked (and charged) once; the next runs with the same filters skip it for free. Change a filter, or tick resetState, to check them again. Give each schedule its own memoryName (Memory name), and tick resetState once to start over. With registerWards, the new registrations of a ward come the same way. A listing saved while the City's register could not be read (register_unavailable) is not remembered, saved or dropped: the next run checks its number, and charges it, again.

What the register can and cannot say

The City's open register lists the active registrations only, refreshed every day: a number that is absent is expired, cancelled or was never registered, and the register does not say which (not_in_register). It gives the address, the unit (for 2 registrations in 3), the first 3 characters of the postal code, the property type and the ward — never the operator's name or contact ("Operator names and contact information are not included"). Airbnb blurs a listing's point by about 150 m (92 m median in Toronto, September 2026): other_property is only raised past Distance tolerance, measured from the registered address's official point. A few registered addresses are written in a way the City's address map does not know: their distance is not checked, and verdictNote says so.

🔌 Integrations and API

Call the Actor via the Apify API, the JavaScript or Python clients, or connect it with integrations and webhooks (Make, Zapier, n8n, Google Sheets, Slack, Airtable…). The dataset can be fetched as JSON or CSV from any tool.

🤖 Use with AI agents (MCP)

AI agents (Claude, ChatGPT, Cursor…) can find and run this Actor through the Apify MCP server, billed to their Apify account like any run. It returns one item per Airbnb listing or Booking.com property checked (or per registration number, or per register record). Actor id: nice_dev/airbnb-toronto-license-checker; MCP server with this Actor only: https://mcp.apify.com/?tools=fetch-actor-details,nice_dev/airbnb-toronto-license-checker.

Smallest input, for a cheap first call:

{
    "licenseNumbers": ["STR-2608-JGXPVZ"],
    "location": "Toronto, Ontario, Canada",
    "maxItems": 5
}

Key output fields: url, verdict, verdictNote, licenseNumber, registerAddress, registerUnit, distanceKm, hostName.

Cost: see the prices on the Pricing tab. Cap each call with maxItems and, through the API, with the run option maxTotalChargeUsd.

❓ FAQ

Is it legal to scrape Airbnb and Booking.com and use the register?

The Actor only reads what Airbnb and Booking.com show publicly to any anonymous visitor, and the open data the City of Toronto publishes for reuse under the Open Government Licence – Toronto, which allows commercial use and asks for the source: each result carries it (Contains information licensed under the Open Government Licence – Toronto.). It logs in to nothing. The registered addresses are homes of private people (Toronto allows short-term rentals in the operator's principal residence only), without names; host names come from the listings. Personal information is protected by Canadian privacy law (PIPEDA) and, for EU residents, by GDPR: do not store it without a legitimate reason. The business e-mail and phone of the Business contact (Booking.com) option are professional contact details that a professional host publishes on its own property page; sending commercial messages to them is governed by the law of the recipient's country (in Canada, the anti-spam law, CASL): you answer for how you use them. The Professional host contact option returns business contact details of companies, taken from publicly available sources, with the page each one comes from; it never looks up a private person, and the same duties apply to how you use them. You are responsible for using the data in compliance with Airbnb's and Booking.com's Terms of Service and applicable law. This Actor is not affiliated with Airbnb, Booking.com or the City of Toronto.

Does it need a login or a proxy?

No login. The proxy is included in the price: leave the default setting (the residential proxy is not available). A request the site turns away is retried at once on a new proxy session, up to 10 times on top of the retries (without a proxy, after a pause of 5 seconds, doubled at each retry up to 150 seconds).

Is the data safe to open in Excel or to show on a web page?

Titles and descriptions are the hosts' own words, copied as they are; the register fields are copied as the City writes them. A text can begin with -, +, = or @ (a phone number starts with +): Excel and Google Sheets may read such a cell of a CSV file as a formula or as a number. The Actor leaves the text as it is, so that the JSON and the API give the real value: when you open a CSV, import these columns as text. On a web page, escape every field like any text written by a stranger.

Known limitations

• The price comes from Airbnb's search results: listings given by URL or ID, and Booking.com properties, have none.
• A Booking.com property pasted by URL gets its position, address and photo from one more request: if it fails, the property is still checked, and verdictNote says the distance could not be.
• A host profile shows 10 of its listings at most: hostListingsCount is the full count, hostListingIds the first ones.
• onlyNew remembers listing ids, not their content: a listing whose number changed is not returned again.
• The ward of a listing comes from its point on the map, read against the City's ward limits (simplified to about 20 m); an Airbnb point within 300 m outside the City is given the nearest ward (Airbnb's blur); a Booking.com property, whose point is its own, only within 50 m.

A run that reaches its timeout stops itself about 45 seconds before it: no new page is asked, what it read is saved and, with onlyNew, remembered, and the run ends Succeeded with "Stopped before the run's timeout". Resurrect it to go on from there, or give the next run a longer timeout (Run options).

A run the platform stops without warning (out of memory)

• Resurrect it: it goes on from where it stood at most a minute before the stop. What it had read since is read again, and the listings already saved are skipped: none is delivered or charged twice, and maxItems still counts them.
• With onlyNew, the memory is saved after each write (at most once every 2 seconds): resurrect the stopped run and the listings it had saved meanwhile join the memory; leave it stopped for good, and the next run may return the listings of its last 2 seconds once more.

Something doesn't work?

The last line of the log counts the results saved, filtered out and no longer on Airbnb or Booking.com (removed while the run was reading them), and the requests that failed after every retry. Those requests and the removed listings are listed, with the reason, in the FAILED_REQUESTS record of the run's key-value store. A run that saved nothing and had failed requests fails, and its last message gives the cause. A register that cannot be downloaded does not fail the run: its listings and numbers get register_unavailable. Register wards alone then list nothing, and that run fails with the cause.

If Airbnb or Booking.com changes its pages, you are told instead of paying for blank rows. A results page that gives no listing the Actor can read is an error (listed in FAILED_REQUESTS), never a quiet "No listings found". If the first 20 listings read all lack their title, position, guests, room type, host, photos or registration block (hotels aside) — on Booking.com: their title, position, registration block (hotels and guest houses aside), property type or host type — the run saves nothing more, stops and fails, and its last message names the missing field: at most those first listings are charged. A listing a filter drops because such a field is missing counts among those 20. If Booking.com's API no longer accepts the Actor's request (a field it renamed), or no longer answers at its address, the run stops at once and fails with that reason, instead of trying every property again.

🛟 Support

Open an issue in the Issues tab with a link to your run: the run log and the FAILED_REQUESTS record of the key-value store show exactly which URLs failed and why.