Airbnb Address Scraper

Airbnb hides the exact address of every listing. The map shows only a fuzzy circle, the street name is missing, and the real location appears only after you book. That is a wall if you are building a rental dataset, sizing up a market, or running address lookups at any kind of scale. This scraper gets you past it: drop in an Airbnb room URL and it reads the coordinates baked into the listing page, turns them into a full postal address, and hands back every part as its own field, alongside the core listing details. No booking, no manual map-reading. Feed it one URL or a list of thousands, anywhere in the world.

What you get

Each URL becomes exactly one clean row with a consistent shape. Missing pieces come back as null instead of vanishing, so your columns stay predictable when you load results into a sheet or database. Two groups of data per listing:

• Address — fullAddress, streetNumber, streetName, neighborhood, district, cityName, stateName, postalCode, countryName, countryCode, plus raw lat / lng
• Listing details — listingTitle, propertyType, roomType, maxGuests, bedroomCount, bedCount, bathroomCount, guestRating, reviewsTotal, hostName, superhost, nightlyPrice, currencyCode

Quick start

1. Hit Try for free and open the input form.
2. Paste one or more Airbnb room URLs into Airbnb listing URLs (a bare room ID works too).
3. Pick a proxy type and set a Results limit if you want to cap the run.
4. Press Start, then export the results as JSON, CSV, Excel, or XML when it finishes.

Use cases

• Market research — map listing density, pricing by neighborhood, and supply gaps across a whole city
• Short-term rental competitor analysis — pinpoint exactly where rival properties sit, not just the city
• Property data enrichment — turn a raw list of Airbnb URLs into a geocoded address database
• Real estate investment — cross-reference listing addresses with land registries, planning, or census data
• Compliance and licensing — check which listings fall inside a permit zone or jurisdiction
• Investigative research — recover the true location when the blurred map tells you nothing

Input

Field	Type	Required	Description
targetUrls	array of strings	Yes	Airbnb room URLs (or bare numeric room IDs) to resolve. Each entry is processed independently.
retryLimit	integer	No	Extra attempts on a failed request before logging an error for that listing. Default 3.
timeoutSeconds	integer	No	Seconds to wait per response before timing out. Default 45; raise it on residential proxies.
resultsLimit	integer	No	Cap on how many URLs to handle per run. Default 50; set 0 for no cap.
proxyConfiguration	object	No	Proxies used for requests. Defaults to US datacenter; switch to Residential if Airbnb blocks requests.

Example input

{
    "targetUrls": [
        "https://www.airbnb.com/rooms/756301198472150388",
        "53114902",
        "https://www.airbnb.com/rooms/41028765"
    ],
    "retryLimit": 3,
    "timeoutSeconds": 45,
    "resultsLimit": 0,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["DATACENTER"],
        "apifyProxyCountry": "US"
    }
}

Output

Every input URL produces one row, and every field is always present — unavailable values come back as null so your dataset stays rectangular.

Example output

{
    "listingUrl": "https://www.airbnb.com/rooms/756301198472150388",
    "roomId": "756301198472150388",
    "listingTitle": "Sunlit 1-Bed Loft Near the Riverfront",
    "propertyType": "Loft",
    "roomType": "ENTIRE_HOME",
    "maxGuests": 3,
    "bedroomCount": 1,
    "bedCount": 1,
    "bathroomCount": 1.0,
    "guestRating": 4.91,
    "reviewsTotal": 167,
    "hostName": "Elena",
    "superhost": true,
    "nightlyPrice": 112.0,
    "currencyCode": "USD",
    "lat": "41.8841",
    "lng": "-87.6298",
    "fullAddress": "418, North Wells Street, Near North Side, Chicago, Cook County, Illinois, 60654, United States",
    "streetNumber": "418",
    "streetName": "North Wells Street",
    "neighborhood": "Near North Side",
    "district": null,
    "countyName": "Cook County",
    "cityName": "Chicago",
    "stateName": "Illinois",
    "postalCode": "60654",
    "countryName": "United States",
    "countryCode": "us",
    "errorMessage": null,
    "collectedAt": "2026-06-29T12:00:00.000000+00:00"
}

Output fields

Field	Type	Description
listingUrl	string	The Airbnb room URL that was looked up
roomId	string	Airbnb room identifier parsed from the URL
listingTitle	string	Headline of the listing
propertyType	string	Apartment, House, Villa, Condo, and similar
roomType	string	ENTIRE_HOME, PRIVATE_ROOM, SHARED_ROOM, or HOTEL_ROOM
maxGuests	integer	Highest guest count the place can host
bedroomCount	integer	Number of bedrooms
bedCount	integer	Number of beds
bathroomCount	number	Bathroom count, which can be a half value such as 1.5
guestRating	number	Mean review score on a five-point scale
reviewsTotal	integer	Count of guest reviews
hostName	string	Public display name of the host
superhost	boolean	True when the host carries Superhost status
nightlyPrice	number	Per-night rate shown on the listing
currencyCode	string	Three-letter currency code, such as USD, GBP, or EUR
lat	string	Latitude of the property
lng	string	Longitude of the property
fullAddress	string	Complete formatted street address
streetNumber	string	Building or house number
streetName	string	Street or road name
neighborhood	string	Neighborhood or local community area
district	string	Borough, suburb, or district
countyName	string	County or administrative district
cityName	string	City or town
stateName	string	State, province, or region
postalCode	string	ZIP or postal code
countryName	string	Full country name
countryCode	string	Lower-case ISO 3166-1 alpha-2 code, such as us, gb, de
errorMessage	string	Reason a listing failed; null on success
collectedAt	string	ISO 8601 timestamp of when the row was captured

Tips for best results

• Start small. Run 10 URLs before committing to hundreds — proxy setup and URL-format issues surface in the first few rows.
• Switch to Residential if you get blocked. Datacenter (US) clears most listings; residential helps when you see repeated 403s or CAPTCHAs.
• Cap test runs with resultsLimit. Set it to 20–50 while you confirm the output fits your pipeline, then drop it to 0 for the full batch.
• Rural listings may stop at the street. If the area is sparsely mapped, streetNumber can be null even with valid coordinates — that is a data limit, not an error.
• Raise timeoutSeconds to ~60 when running internationally or on residential proxies.

How can I use Airbnb address data?

How can I use the Airbnb Address Scraper to build a short-term rental market dataset? Paste a batch of Airbnb room URLs for a target city and the scraper returns each listing's full street address, coordinates, and core details. Group the rows by neighborhood or postcode to map listing density, benchmark nightly prices, and spot supply gaps — a fast base layer for any Airbnb market-research project.

How can I find an Airbnb address without booking, together with the listing details? Drop in a single room URL or a bare room ID. The scraper reads the coordinates embedded in the page, resolves them to a street-level address, and pairs them with the listing title, room type, rating, and host — so you get the real location and the context in one row, no reservation required.

How can I enrich a list of Airbnb URLs with addresses for real estate research? Already have Airbnb links from another source? Set resultsLimit to 0 and feed the whole list. Every URL comes back as one row with a full address, coordinates, and listing stats — turning raw links into a geocoded address database you can cross-reference with land registries, planning records, or census data.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.