# Airbnb Scraper — Listings, Prices, Photos & Hosts API (`makework36/fast-airbnb-price-scraper`) Actor

Extract Airbnb listings, prices, ratings, photos, coordinates and Superhost badges from any city worldwide. No login, no API key — export data as JSON or CSV. Built for travel investors, STR analysts, price monitoring and market research.

- **URL**: https://apify.com/makework36/fast-airbnb-price-scraper.md
- **Developed by:** [deusex machine](https://apify.com/makework36) (community)
- **Categories:** Travel, Real estate, Lead generation
- **Features:** Limited permissions
- **Stats:** 57 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Fast Airbnb Price Scraper — Listings, Prices, Ratings & Photos API

> ⭐ **Useful?** [Leave a review](https://apify.com/makework36/fast-airbnb-price-scraper/reviews) — it takes 10 seconds and is the single biggest thing that helps other travel analysts find this Airbnb scraper.

A fast, lightweight **Airbnb scraper** that pulls listings, prices, ratings, photos, Superhost badges and GPS coordinates from Airbnb search results for any city in the world. No login, no Airbnb API key, no browser rendering — just clean JSON or CSV data. Built for STR investors, vacation-rental analysts, travel agencies, price-monitoring tools and anyone doing Airbnb market research at scale.

### ✨ Why use this scraper

Given a list of locations (city, neighborhood, address, or landmark) and optional dates, this scraper queries Airbnb search and returns structured data for every listing it finds. Every run pulls fresh data — Airbnb prices move daily and so does supply, so the scraper hits live search results each time. You can filter by price range, room type, dates and guest count, and export the dataset as **JSON**, **CSV**, **Excel**, or **XML** directly from the Apify console or via the Apify API.

Because it uses raw HTTP requests (no headless browser, no Puppeteer, no Playwright) this scraper is an order of magnitude cheaper and faster than browser-based Airbnb scrapers. A run of 20 listings in one city completes in roughly 3 seconds.

### 📤 Output fields

| Field | Description |
|-------|-------------|
| `id` | Airbnb listing ID (unique across Airbnb) |
| `name` | Property title as shown on Airbnb |
| `url` | Direct link to the Airbnb listing page |
| `price` | Total price for the stay, formatted (e.g. `"$480"`) |
| `priceAmount` | Price as a number for analytics |
| `priceCurrency` | ISO currency code (`USD`, `EUR`, `MXN`, `GBP`, …) |
| `pricePerNight` | Nightly breakdown string (e.g. `"4 nights x $120"`) |
| `priceQualifier` | Duration context (e.g. `"for 4 nights"`) |
| `rating` | Average guest rating on a 0–5 scale |
| `reviewsCount` | Number of guest reviews |
| `ratingLabel` | Full human-readable rating description |
| `isSuperhost` | Boolean — Superhost status of the host |
| `badges` | Property badges (`Superhost`, `Guest favorite`, etc.) |
| `roomInfo` | Room details — bedrooms, beds, bathrooms |
| `locationLabel` | Neighborhood or area name |
| `latitude` | GPS latitude |
| `longitude` | GPS longitude |
| `photos` | Array of photo URLs (up to 6 per listing) |
| `thumbnail` | Main photo URL |
| `scrapedAt` | ISO timestamp of when the listing was extracted |

### 🎯 Use cases

- **Short-term rental (STR) investors** — evaluate rental income potential before buying a vacation rental property. Pull ADR, occupancy signals and price distribution for a neighborhood.
- **Airbnb price monitoring** — track nightly rates for specific zip codes, neighborhoods or landmarks over time and alert when prices drop.
- **Airbnb market research** — compare pricing, ratings and Superhost density across cities, neighborhoods or countries.
- **Competitor tracking for Airbnb hosts** — monitor comparable listings in your area and keep your own pricing competitive.
- **Revenue management** — feed rates into a dynamic pricing model (PriceLabs / Beyond Pricing / Wheelhouse alternative).
- **Travel planning & deal finders** — build a "best Airbnb deals" product or newsletter.
- **Academic and journalistic research** — reproducible Airbnb datasets on housing, tourism and short-term rental regulation.
- **Real-estate market analytics** — integrate Airbnb supply/price signals with Zillow, Redfin or Booking.com data.

### 🚀 How to use

#### Search by location

```json
{
  "locations": ["Cancun", "Playa del Carmen"],
  "checkin": "2026-06-01",
  "checkout": "2026-06-05",
  "adults": 2,
  "maxListings": 20
}
```

#### Filter Airbnb listings by price range

```json
{
  "locations": ["New York"],
  "checkin": "2026-07-10",
  "checkout": "2026-07-15",
  "adults": 2,
  "minPrice": 50,
  "maxPrice": 200,
  "maxListings": 20
}
```

#### Filter Airbnb listings by room type

```json
{
  "locations": ["Barcelona"],
  "roomType": "entire",
  "maxListings": 20
}
```

Supported room types: `entire`, `private`, `shared`, `hotel`.

#### Scrape Airbnb across many cities in one run

```json
{
  "locations": [
    "Miami Beach", "South Beach Miami", "Brickell Miami",
    "Wynwood Miami", "Little Havana Miami"
  ],
  "checkin": "2026-08-01",
  "checkout": "2026-08-08",
  "adults": 4,
  "roomType": "entire",
  "maxListings": 30
}
```

### 📥 Input

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `locations` | array | — | Locations to scrape (cities, neighborhoods, landmarks) |
| `checkin` | string | — | Check-in date `YYYY-MM-DD` |
| `checkout` | string | — | Check-out date `YYYY-MM-DD` |
| `adults` | integer | `2` | Number of adult guests |
| `maxListings` | integer | `20` | Max listings returned per location |
| `minPrice` | integer | `0` | Minimum nightly price filter |
| `maxPrice` | integer | `0` | Maximum nightly price filter |
| `roomType` | string | — | Room type (`entire`, `private`, `shared`, `hotel`) |

### 📋 Output example

```json
{
  "id": "14926879",
  "name": "Ocean view studio in Cancun hotel zone",
  "url": "https://www.airbnb.com/rooms/14926879",
  "price": "$9,750 MXN",
  "priceAmount": 9750,
  "priceCurrency": "MXN",
  "pricePerNight": "4 nights x $2,437.49 MXN",
  "priceQualifier": "for 4 nights",
  "rating": 4.89,
  "reviewsCount": 389,
  "ratingLabel": "4.89 out of 5 average rating, 389 reviews",
  "isSuperhost": true,
  "badges": ["Superhost"],
  "roomInfo": "1 bedroom · 1 bed · 1 bath",
  "locationLabel": "Cancun hotel zone",
  "latitude": 21.04586,
  "longitude": -86.78288,
  "photos": [
    "https://a0.muscache.com/im/pictures/396af173-7aa9-4133-82c0-9481f9941670.jpg"
  ],
  "thumbnail": "https://a0.muscache.com/im/pictures/396af173-7aa9-4133-82c0-9481f9941670.jpg",
  "scrapedAt": "2026-04-21T04:30:00.000Z"
}
```

Export the full dataset as CSV directly from the Apify console, or programmatically via the Apify API.

### 💻 Code examples

#### From the Apify API (curl)

```bash
curl -X POST 'https://api.apify.com/v2/acts/makework36~fast-airbnb-price-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "locations": ["Barcelona"],
    "checkin": "2026-06-01",
    "checkout": "2026-06-05",
    "adults": 2,
    "maxListings": 30
  }'
```

#### From Python (apify-client)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("makework36/fast-airbnb-price-scraper").call(run_input={
    "locations": ["Lisbon", "Porto"],
    "checkin": "2026-07-01",
    "checkout": "2026-07-05",
    "adults": 2,
    "maxListings": 25,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["priceAmount"], item["rating"])
```

#### From Node.js (apify-client)

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('makework36/fast-airbnb-price-scraper').call({
  locations: ['Mexico City'],
  checkin: '2026-08-10',
  checkout: '2026-08-15',
  adults: 2,
  roomType: 'entire',
  maxListings: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.table(items.map((l) => ({ name: l.name, price: l.priceAmount, rating: l.rating })));
```

#### Export to CSV

From the console run page → *Export* → *CSV*. Or via API:

```
https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&token=YOUR_TOKEN
```

### ⚡ Performance

- **~3 seconds per location** — raw HTTP, no browser overhead
- **Up to ~30 listings per location query** before pagination
- Runs on minimal Apify memory (128 MB tier is enough)
- Apify Proxy rotates IPs automatically for reliable results at scale

### 📊 Comparison

There are several Airbnb scrapers on Apify Store. Here's how ours stacks up on the metrics that actually matter to scraping workflows: speed, cost per result, output completeness and developer ergonomics.

| Feature | This scraper | tri_angle / airbnb-scraper | memo23 / airbnb-scraper | easyapi / airbnb-search-results-scraper |
|---------|--------------|----------------------------|--------------------------|------------------------------------------|
| Price per result | **$0.0015** | Higher (events model, opaque) | $0.0008 + $0.005 start | Higher per result |
| Scraping engine | **Raw HTTP** (no browser) | Browser-based | Mixed | HTTP |
| GPS coordinates in output | **Yes** (`latitude`, `longitude`) | Partial | Partial | No |
| Full photos array | **Yes** (up to 6) | Yes | Partial | Yes |
| Superhost badge | **Yes** | Yes | Yes | Partial |
| Multi-location per run | **Yes** (array of cities) | Yes | Limited | Yes |
| Price range filter | **Yes** (`minPrice`, `maxPrice`) | Yes | Yes | Partial |
| Room type filter | **Yes** (`entire` / `private` / `shared` / `hotel`) | Yes | Yes | Limited |
| Export formats | **JSON / CSV / Excel / XML** | JSON / CSV | JSON / CSV | JSON / CSV |
| API endpoint | Official Apify API | Official Apify API | Official Apify API | Official Apify API |
| Code examples in README | **Python / Node.js / curl** | None | None | None |
| MCP server alternative | **Yes** (see related actors) | No | No | No |
| Free trial listings | **~3,300** on $5 trial | Fewer due to higher cost | ~6,200 (cheapest per result) | Fewer |

The honest take: `memo23/airbnb-scraper` is cheaper per-result if absolute cost is your only constraint. If you want coordinates, an MCP equivalent for AI agents, and predictable per-item pricing with no mysterious start-cost, this Airbnb scraper is the better fit.

### 💵 Pricing

Pay-per-result model:

- **$0.0015 per Airbnb listing extracted** (as of 2026-04-21)
- Apify gives every new user a $5 free trial → ~3,300 listings to evaluate the scraper before committing

No subscription, no minimum, no egress fees.

### ❓ FAQ

**Do I need an Airbnb account or API key?**
No. This Airbnb scraper reads publicly available search result pages — no login, no cookies, no official Airbnb API access required (and there isn't one for the public anyway).

**Is scraping Airbnb legal?**
This actor only reads data that's publicly visible on Airbnb search pages — the same data a user would see in a browser. As always, review Airbnb's terms of service and consult legal counsel for your specific use case and jurisdiction. We don't bypass paywalls, logins, or private data.

**What locations are supported?**
Any location Airbnb itself supports — cities, neighborhoods, addresses, landmarks, countries. If you can search it on airbnb.com, you can scrape it here.

**How often does the data update?**
Every run hits Airbnb live, so you always get real-time prices and availability at the moment of the request.

**Why is this Airbnb scraper so fast and cheap?**
It uses raw HTTP requests instead of a headless browser. No JavaScript rendering, no screenshot, no waiting for page loads. One `requests.get()` and some careful JSON parsing is all it takes.

**Can I scrape individual Airbnb listing reviews or availability calendars?**
This scraper focuses on **search-level data** (prices, ratings, photos, coordinates). For detailed per-listing reviews or availability calendars, you'd need to visit each listing page individually — drop a feature request on the [issues tab](https://apify.com/makework36/fast-airbnb-price-scraper/issues) and we'll prioritize.

**Can I filter by amenities (wifi, pool, pet-friendly)?**
Not in v1. Amenity filtering via Airbnb's backend parameters is on the roadmap. Star a review mentioning amenities and we'll move it up.

**Can I scrape Airbnb hosts and Superhost profiles?**
Basic host info (Superhost badge, property ownership signal) is included in the output. Full host profile scraping is on the roadmap.

**Do you offer a Booking.com or Vrbo scraper too?**
Yes — check out our [Booking.com scraper](https://apify.com/makework36) and VRBO scraper on the same account. Same developer, same pricing model.

### 📝 Changelog

- **v1.0** (2026-04-21) — Full SEO rewrite, explicit JSON/CSV export docs, added Python/Node.js integration examples, categories updated to `TRAVEL / REAL_ESTATE / LEAD_GENERATION`.
- **v0.9** (2026-04-15) — Initial release with location, date, room type and price filters.

### 🔗 Related actors

- [Airbnb Market Analytics — ADR, RevPAR, Occupancy for STR Investors](https://apify.com/makework36/airbnb-market-data) — aggregated stats for STR market research
- [Airbnb MCP Server — Claude, Cursor & AI Agents](https://apify.com/makework36/airbnb-mcp-server) — the same data exposed as MCP tools for Claude and Cursor

***

> 🙏 **Ran this scraper successfully?** [Leaving a review](https://apify.com/makework36/fast-airbnb-price-scraper/reviews) helps the algorithm surface this to other travel analysts. Much appreciated.

# Actor input Schema

## `locations` (type: `array`):

List of locations to search (city names, neighborhoods, addresses).

## `checkin` (type: `string`):

Check-in date in YYYY-MM-DD format. Leave empty for flexible dates.

## `checkout` (type: `string`):

Check-out date in YYYY-MM-DD format. Leave empty for flexible dates.

## `adults` (type: `integer`):

Number of adult guests.

## `maxListings` (type: `integer`):

Maximum number of listings to extract per location.

## `minPrice` (type: `integer`):

Minimum nightly price filter (0 = no filter).

## `maxPrice` (type: `integer`):

Maximum nightly price filter (0 = no filter).

## `currency` (type: `string`):

Currency for prices (e.g. USD, EUR, MXN, GBP).

## `roomType` (type: `string`):

Filter by room type.

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

Datacenter proxies are the default and work fine for Airbnb. Residential proxies are optional and only available on plans that include the RESIDENTIAL group — if you pick them and your plan lacks it, the Actor falls back to datacenter automatically. When using residential, set a country to avoid Airbnb switching you to a local domain.

## Actor input object example

```json
{
  "locations": [
    "Cancun",
    "Playa del Carmen",
    "New York"
  ],
  "checkin": "2026-06-01",
  "checkout": "2026-06-05",
  "adults": 2,
  "maxListings": 20,
  "minPrice": 0,
  "maxPrice": 0,
  "currency": "USD",
  "roomType": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

All scraped items in the default dataset (JSON).

## `csv` (type: `string`):

Default dataset formatted as CSV for spreadsheets (Google Sheets, Excel).

# 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 = {
    "locations": [
        "Cancun"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("makework36/fast-airbnb-price-scraper").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 = {
    "locations": ["Cancun"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("makework36/fast-airbnb-price-scraper").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 '{
  "locations": [
    "Cancun"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call makework36/fast-airbnb-price-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,makework36/fast-airbnb-price-scraper"
        }
    }
}
```

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/cxrQQqQYvV4s0YP9Q/builds/0yoWY7Z4yVWN4xZIp/openapi.json