Airbnb Address Finder

Airbnb Address Finder creates a structured dataset of Airbnb listings from room URLs you supply. Each dataset item is one listing and can include the listing id, name, description, coordinates, the address fields Airbnb returns, guest limits, host flags, ratings, and photos. It also adds detailed_address, a reverse-geocoded display name for those coordinates from OpenStreetMap Nominatim. Query the source with https://www.airbnb.com/rooms/ URLs. Retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	Airbnb room pages, plus OpenStreetMap Nominatim for detailed_address
Record unit	One Airbnb listing
Input methods	List of Airbnb room URLs
Main identifiers	identifier, url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, and other Apify dataset exports
Update model	Fresh records per Actor run
Pricing	Pay per event: dataset-item at $0.001

Coverage and available records

The Actor accepts urls. Each value must start with https://www.airbnb.com/rooms/. Any other string is skipped and is not saved. An empty urls list stops the run with an error.

For each accepted URL the Actor loads the listing. If the listing has no coordinates, or the coordinates are 0,0, that URL produces no dataset row. When coordinates are present, the Actor calls Nominatim reverse geocoding at zoom 18 and stores the returned display_name in detailed_address. If that lookup fails, the listing is still saved and detailed_address is an empty string.

location.address and location.coordinates come from the Airbnb listing payload. location.show_exact is Airbnb's flag for whether those coordinates are exact. detailed_address is not an address field printed by Airbnb. It is the Nominatim name for the coordinate pair. If Airbnb's coordinates are approximate, the geocoded name can point at a nearby street rather than a unit door.

The stored sample is one active listing, id 53991879, with show_exact true, city Jersey City, subdivision New Jersey, country United States, overall rating 4.84, and 67 reviews. unit.area.size, host name, features, bathrooms, and bedrooms are empty or null on that record. The Actor has no search by city, dates, or guest count. It does not collect availability or a price quote. Passing the same URL twice in one run writes two rows.

There is no maxItems input. Every successfully parsed URL is saved. URLs are processed in chunks of five unless the run input includes a concurrency number. That key is not part of the published input schema.

Data dictionary

The table lists top-level keys on the stored listing. Nested objects are in the following tables. The sample has one record, so a field is marked nullable when that record's value is null. Empty strings and empty arrays are present, not null.

Field	Type	Nullable	Description	Example
identifier	string	No	Airbnb listing id. It matches the numeric id in the room URL. Recommended deduplication key.	53991879
url	string	No	Listing URL that was requested.	https://www.airbnb.com/rooms/53991879
active	boolean	No	True when the listing model marks the listing active.	true
headline	string	No	Listing headline.	The Cozy Skylight: Just Steps from Transit to NYC
name	string	No	Listing name. Matches headline on the stored sample.	The Cozy Skylight: Just Steps from Transit to NYC
description	string	No	Listing description text from Airbnb. The stored sample is a multi-paragraph host description.	Welcome to your home away from home! Our property is located in Jerse...
story	string	No	Listing story text. Empty string on the stored sample.
unit	object	No	Unit object. See the unit table. area.size and area.unit are null on the stored sample.	object
images	array	No	Photo objects with identifier, url, and title. title is an empty string on the stored sample.	19 items
location	object	No	Location object from the Airbnb listing. See the location table.	object
supplement	object	No	Guest and policy fields from the listing. See the supplement table.	object
host	object	No	Host object. Several host fields are null or empty on the stored sample.	object
rating	object	No	Rating object with total_reviews, overall_rating, and a ratings breakdown.	object
features	array	No	Feature objects. Empty array on the stored sample.	[]
safety_features	array	No	Safety-feature objects. Empty array on the stored sample.	[]
bathrooms	array	No	Bathroom objects. Empty array on the stored sample.	[]
bedrooms	array	No	Bedroom objects. Empty array on the stored sample.	[]
detailed_address	string	No	Display name from OpenStreetMap Nominatim for the listing coordinates. Derived by the Actor. Not a separate Airbnb address field.	Flip Wilson Court, West Bergen, Communipaw, Jersey City, Hudson Count...

Unit object

Field	Type	Nullable	Description	Example
identifier	string	No	Same listing id.	53991879
active	boolean	No	Unit active flag.	true
name	string	No	Unit name.	The Cozy Skylight: Just Steps from Transit to NYC
category	string	No	Source category code.	PROPERTY_TYPE_HOUSE
area.size	null	Yes	Size. Null on the stored sample.	null
area.unit	null	Yes	Size unit. Null on the stored sample.	null
bedrooms	array	No	Bedroom list on the unit. Empty on the stored sample.	[]

Location object

Field	Type	Nullable	Description	Example
show_exact	boolean	No	Airbnb flag for exact coordinates.	true
address.primary	string	No	Primary address line from Airbnb. Empty on the stored sample.	empty
address.secondary	string	No	Secondary address line from Airbnb. Empty on the stored sample.	empty
address.city	string	No	City from Airbnb.	Jersey City
address.subdivision	string	No	State or region from Airbnb.	New Jersey
address.postcode	string	No	Postal code from Airbnb. Empty on the stored sample.	empty
address.country	string	No	Country from Airbnb.	United States
coordinates.lat	number	No	Latitude in decimal degrees.	40.71186
coordinates.lng	number	No	Longitude in decimal degrees.	-74.07983

Supplement object

Field	Type	Nullable	Description	Example
max_guests	integer	No	Guest cap from the listing.	2
max_sleeps	integer	No	Sleep cap from the listing.	12
allows_children	boolean	No	Children allowed flag.	false
allows_pets	boolean	No	Pets allowed flag.	false
allows_events	boolean	No	Events allowed flag.	true
cancellation_policy	string	No	Policy code from the listing.	CUSTOM

Host object

Field	Type	Nullable	Description	Example
host.name	string	No	Host name. Empty string on the stored sample.	empty
host.profilePictureUrl	null	Yes	Profile image URL. Null on the stored sample.	null
title	null	Yes	Host title. Null on the stored sample.	null
superhost	boolean	No	Superhost flag.	false
verified	boolean	No	Verified flag.	false
host_details	array	No	Host detail entries. Empty on the stored sample.	[]
stats	array	No	Host stat objects. Empty on the stored sample.	[]
host_highlights	array	No	Highlight objects. Empty on the stored sample.	[]
co_hosts	array	No	Co-host objects. Empty on the stored sample.	[]

Rating object

Field	Type	Nullable	Description	Example
total_reviews	integer	No	Review count.	67
overall_rating	number	No	Overall rating.	4.84
ratings	array	No	Objects with categoryType, label, and percentage.	ACCURACY, 4.79

Image object

Field	Type	Nullable	Description	Example
identifier	string	No	Listing id repeated on the photo.	53991879
url	string	No	Photo URL.	https://a0.muscache.com/im/pictures/c83729e1-fa9b-4cdf-bd43-55ac31bd36a0.jpg
title	string	No	Caption. Empty on the stored sample.	empty

Use identifier as the deduplication key. The Actor does not drop a repeated URL inside a run.

Example dataset record

The input URL was https://www.airbnb.com/rooms/53991879. The description below keeps the first paragraph only. The stored record continues with the host's remaining notes. The images array in the stored record has 19 objects of the same shape; one is shown. The ratings array in the stored record has 6 category objects; two are shown.

{
  "identifier": "53991879",
  "url": "https://www.airbnb.com/rooms/53991879",
  "active": true,
  "headline": "The Cozy Skylight: Just Steps from Transit to NYC",
  "name": "The Cozy Skylight: Just Steps from Transit to NYC",
  "description": "Welcome to your home away from home! Our property is located in Jersey City within two minutes of the Light Rail, which can connect you to The Liberty Science Center, Liberty State Park, Hoboken, and Manhattan. The guests' spaces include one private bedroom with natural light a full bed, Roku TV, and desk space. Shared spaces include a complete eat-in kitchen, 1.5 bathrooms, and a comfortable living room. Additionally, wifi access will be made available. Hope to see you soon!",
  "story": "",
  "unit": {
    "identifier": "53991879",
    "active": true,
    "name": "The Cozy Skylight: Just Steps from Transit to NYC",
    "category": "PROPERTY_TYPE_HOUSE",
    "area": {
      "size": null,
      "unit": null
    },
    "bedrooms": []
  },
  "images": [
    {
      "identifier": "53991879",
      "url": "https://a0.muscache.com/im/pictures/c83729e1-fa9b-4cdf-bd43-55ac31bd36a0.jpg",
      "title": ""
    }
  ],
  "location": {
    "address": {
      "primary": "",
      "secondary": "",
      "city": "Jersey City",
      "subdivision": "New Jersey",
      "postcode": "",
      "country": "United States"
    },
    "coordinates": {
      "lat": 40.71186,
      "lng": -74.07983
    },
    "show_exact": true
  },
  "supplement": {
    "max_sleeps": 12,
    "allows_children": false,
    "max_guests": 2,
    "allows_pets": false,
    "allows_events": true,
    "cancellation_policy": "CUSTOM"
  },
  "host": {
    "host": {
      "name": "",
      "profilePictureUrl": null
    },
    "title": null,
    "superhost": false,
    "verified": false,
    "stats": [],
    "host_highlights": [],
    "co_hosts": [],
    "host_details": []
  },
  "rating": {
    "total_reviews": 67,
    "overall_rating": 4.84,
    "ratings": [
      {
        "categoryType": "ACCURACY",
        "label": "ACCURACY",
        "percentage": 4.79
      },
      {
        "categoryType": "CLEANLINESS",
        "label": "CLEANLINESS",
        "percentage": 4.79
      }
    ]
  },
  "features": [],
  "safety_features": [],
  "bathrooms": [],
  "bedrooms": [],
  "detailed_address": "Flip Wilson Court, West Bergen, Communipaw, Jersey City, Hudson County, New Jersey, 07305, United States"
}

Query and input reference

Input	Type	Required	Default	Accepted values	Description
urls	array of strings	Yes	—	URLs starting with https://www.airbnb.com/rooms/	Listing pages to load. Other URL shapes are skipped.
proxyConfiguration	object	No	Apify residential	Apify proxy input	Connection used for listing and geocoding requests. The default uses Apify residential.

Minimal request:

{
  "urls": ["https://www.airbnb.com/rooms/53991879"]
}

Several listings:

{
  "urls": [
    "https://www.airbnb.com/rooms/53991879",
    "https://www.airbnb.com/rooms/782682596976136912"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

The second URL is the input schema's prefill example. It is not a second stored dataset record on this page.

Retrieve the data through the API

This is the Apify Actor API. Airbnb does not provide this endpoint, and Nominatim is used only inside the run to fill detailed_address.

1. Start datascrapers/airbnb-address-finder with a JSON input.
2. Wait until the run finishes, or poll the run status.
3. Read items from the run's default dataset.
4. Page the dataset with offset and limit, or export it from the run page.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/airbnb-address-finder").call(run_input={
    "urls": ["https://www.airbnb.com/rooms/53991879"],
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Other languages are listed on the Actor's API tab in Apify Console. Do not put a real token in a URL or in source control.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL or Supabase	Dataset API or a webhook consumer	Store identifier as the listing key and detailed_address as the geocoded name
Google Sheets	Apify integration	Share listing id, city, and geocoded name
Amazon S3 or other cloud storage	Scheduled dataset export or an integration	Archive each run's JSON or CSV
A custom application	Dataset items endpoint	Join these rows to other Airbnb extracts on identifier

Data quality and record handling

Listing fields are the Actor's listing model, dumped from the Airbnb room payload. detailed_address is the only derived field. It is the Nominatim display_name for location.coordinates at zoom 18, in English. It can be empty when the lookup fails. It can disagree with location.address because those values come from different sources.

A URL that is not an Airbnb room link is skipped. A listing without usable coordinates is skipped and creates no dataset-item charge. A geocoding failure still saves the listing. The same identifier submitted twice is saved twice. Deduplicate on identifier after the run.

Empty arrays mean the listing model had no entries, not that the key was removed. Empty strings are kept for description lines, story, address lines, and host name on the stored sample. unit.area.size and unit.area.unit are null on that sample, so area is not available for every listing. Photo objects use title, which may be empty.

rating.ratings[].percentage is the category score as returned. On the stored sample the accuracy category is 4.79, on the same scale as the 4.84 overall rating, not a 0–100 percent.

The run writes a key-value record run-stats with recordsScraped, runStartedAt, and runFinishedAt. Those timestamps are UTC ISO-8601. They are not dataset fields.

Pricing and cost examples

The Actor uses pay per event. Every saved listing charges one dataset-item event at $0.001. The same price applies on every plan tier. There is no separate Actor-start event and no separate charge for the geocoding lookup. A URL that produces no record is not charged as dataset-item.

Platform usage, including compute and residential proxy traffic, is billed to the run account in addition to these events. Estimates below are event charges only.

Records	Estimated event cost
1,000	$1.00
10,000	$10.00

There is no maxItems cap. The event count follows the number of URLs that return a listing with coordinates.

Limitations and responsible data use

The Actor reads an Airbnb room URL and the listing fields that page exposes, then looks up the listing coordinates in OpenStreetMap Nominatim. It does not return a price, a calendar, or a historical archive. Each run reflects the listing and the geocoder at the time of the request.

detailed_address is only as precise as the coordinates. When location.show_exact is false, treat the geocoded name as approximate. City and region remain on location.address even when the street line is empty. Host name and photo can be empty, as they are on the stored sample.

Nominatim is a public geocoder with its own usage policy. Large URL lists increase both Actor events and geocoding requests. You are responsible for using the dataset in line with Airbnb terms, OpenStreetMap policies, privacy rules, and any contract that applies to your project. This page does not provide a legal conclusion about a particular use.

Dataset questions

What does one dataset item represent?

One Airbnb room URL that resolved to a listing with coordinates, plus the Nominatim display name for those coordinates when the lookup succeeds.

Which field should I use as a unique identifier?

Use identifier. It is the Airbnb listing id in the room URL.

Are fields nullable or conditional?

detailed_address is an empty string when geocoding fails. Area, host name, features, bathrooms, and bedrooms are null or empty on the stored sample. A URL without coordinates produces no row at all.

Can I retrieve the records as CSV or JSON?

Yes. Download JSON, CSV, Excel, XML, or another format from the Apify Console export menu, or read JSON through the Dataset API. Nested location, host, and rating objects flatten or stringify depending on the export format.

How do I paginate large datasets?

The Actor does not page a search. It walks the urls array. After the run, page the Apify dataset with offset and limit.

Does the Actor return historical data?

No. A record is the listing and geocode observed during that run.

What counts as a billable result?

Each saved listing is one dataset-item event at $0.001. Skipped URLs are not billed as dataset items. Platform usage is charged separately.

Related datasets from Data Scrapers

• Airbnb Scraper - Search & Listing Details — Airbnb search and listing records that can be joined to these rows on the listing id.
• Booking.com Scraper — hotel and stay records for the same trip-planning workflow.
• Apartments.com Scraper — US apartment listing records for a longer-stay comparison.
• Realtor.com Scraper — US home listing records for the same city or region.
• Redfin Scraper — Redfin property records with location fields.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.