# Airbnb Address Finder (`datascrapers/airbnb-address-finder`) Actor

Finds addresses for Airbnb listings.

- **URL**: https://apify.com/datascrapers/airbnb-address-finder.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.70 / 1,000 dataset items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**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.

[![Airbnb Address Finder — input to structured data](https://raw.githubusercontent.com/faizanalii/apify-actor-assets/main/airbnb-address-finder/airbnb-address-finder-value-demo.gif)](https://apify.com/datascrapers/airbnb-address-finder)

### 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.

```json
{
  "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:

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

Several listings:

```json
{
  "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.

```python
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](https://apify.com/datascrapers/airbnb-scraper) — Airbnb search and listing records that can be joined to these rows on the listing id.
- [Booking.com Scraper](https://apify.com/datascrapers/booking-com-scraper) — hotel and stay records for the same trip-planning workflow.
- [Apartments.com Scraper](https://apify.com/datascrapers/apartments-scraper) — US apartment listing records for a longer-stay comparison.
- [Realtor.com Scraper](https://apify.com/datascrapers/realtor-scraper) — US home listing records for the same city or region.
- [Redfin Scraper](https://apify.com/datascrapers/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.

# Actor input Schema

## `urls` (type: `array`):

List of Airbnb Listing URLs to scrape data from

## `proxyConfiguration` (type: `object`):

Select proxy groups or use your custom proxies

## Actor input object example

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

# Actor output Schema

## `results` (type: `string`):

JSON array of Airbnb listing records at {{links.apiDefaultDatasetUrl}}/items

## `runStats` (type: `string`):

Record count and timestamps for this run

## `run` (type: `string`):

Public console page for this run

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.airbnb.com/rooms/782682596976136912"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/airbnb-address-finder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": ["https://www.airbnb.com/rooms/782682596976136912"] }

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/airbnb-address-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.airbnb.com/rooms/782682596976136912"
  ]
}' |
apify call datascrapers/airbnb-address-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/airbnb-address-finder"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2bcKt3rpllblhyguT/builds/FiYWpGWifdO3b81No/openapi.json