Airbnb Scraper - Search Results, Prices & Ratings

Airbnb Scraper by ScraperCompany runs an Airbnb search for a location and dates and returns every listing on the results page: title, nightly and total price, rating and review count, photos, GPS coordinates, badges such as Guest favourite, free-cancellation flag and booking link. Use Airbnb's own filters (guests, price range, bedrooms, beds, bathrooms, amenities, entire home or room) and follow result pages. Use it for short-term-rental market research, price analysis and lead lists. Pricing is pay-per-event: $0.018 per search page; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this Airbnb scraper do?

• Search any destination on any Airbnb country site (airbnb.com, .ca, .co.uk, .fr, ...).
• Exact dates or flexible trips (weekend, week, month).
• Filters: guests, pets, price range, bedrooms, beds, bathrooms, amenities, entire home/room, property type.
• Prices and totals in any Airbnb currency, optionally tax-inclusive.
• Paging: fetch up to 15 result pages per location.
• Batch many locations in one run.

Use cases for Airbnb data

• Short-term-rental investors: Size up a market: how many listings, what they charge for your dates and how they are rated.
• Property managers: Benchmark your nightly price against comparable homes with the same filters guests use.
• Market analysts: Build datasets of listings with GPS coordinates, badges and review counts for mapping and research.
• Lead generation: List hosts and properties in a city for outreach.

What Airbnb data can you extract?

Field	Description
properties[].id / title / description	Listing id (use it with the Airbnb Availability Calendar Scraper), title and short description
properties[].price	Nightly and total price with breakdown
properties[].rating / reviews	Average rating and review count
properties[].gps_coordinates	Latitude and longitude
properties[].images	Photo URLs
properties[].badges / has_free_cancellation	Guest favourite, Superhost and cancellation flags
properties[].link / booking_link	Listing and booking URLs
search_information	Displayed query, results count, guests and dates
pagination.next_page_token	Cursor for the next page

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape Airbnb listings and prices

1. Open Airbnb Scraper in Apify Console and go to the Input tab.
2. Enter one or more locations and dates (exact or relative, such as 30 days from today). Add filters if you need them.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "locations": [
    "Toronto"
  ],
  "check_in_date": "30 days",
  "check_out_date": "32 days",
  "adults": 2,
  "maxPages": 1,
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "endpoint": "/v1/serp/airbnb",
  "input": {
    "q": "Toronto",
    "check_in_date": "2026-10-31",
    "check_out_date": "2026-11-02",
    "adults": 2
  },
  "pagination": {
    "next_page_token": "eyJzZWN0aW9uX29mZnNldCI6MH0="
  },
  "properties": [
    {
      "accommodations": [
        "1 bedroom",
        "1 queen bed"
      ],
      "badges": [
        "Guest favourite"
      ],
      "booking_link": "https://www.airbnb.ca/rooms/734254017349424949?check_in=2026-09-10&check_out=2026-09-12&adults=2&children=0&infants=0&pets=0",
      "booking_token": "eyJjaGVja19pbiI6IjIwMjYtMDktMTAiLCJwcm9wZXJ0eV9pZCI6IjczNDI1NDAxNzM0OTQyNDk0OSJ9",
      "check_in_date": "2026-09-10",
      "check_out_date": "2026-09-12",
      "description": "Condo in Toronto",
      "gps_coordinates": {
        "latitude": 43.654,
        "longitude": -79.38
      },
      "has_free_cancellation": true,
      "id": "734254017349424949",
      "images": [
        "https://a0.muscache.com/im/pictures/example.jpeg"
      ],
      "link": "https://www.airbnb.ca/rooms/734254017349424949",
      "position": 1,
      "price": {
        "breakdown": [
          {
            "description": "2 nights x $310.00 CAD",
            "extracted_price": 620,
            "price": "$620.00 CAD"
          },
          {
            "description": "Taxes",
            "extracted_price": 117,
            "price": "$117.00 CAD"
          }
        ],
        "extracted_price_per_qualifier": 310,
        "extracted_qualifier": 2,
        "extracted_total_price": 737,
        "extracted_total_with_taxes": 737,
        "price_per_qualifier": "2 nights x $310.00 CAD",
        "qualifier": "for 2 nights",
        "total_price": "$737 CAD",
        "total_with_taxes": "$737 CAD"
      },
      "rating": 4.96,
      "reviews": 166,
      "time_period": "2026-09-10 – 2026-09-12",
      "title": "Chic Studio w Balcony Fast WiFi by Yonge-Dundas"
    }
  ],
  "search_information": {
    "adults": 2,
    "check_in_date": "2026-09-10",
    "check_out_date": "2026-09-12",
    "guests": "2 adults",
    "query_displayed": "Homes in Toronto, Canada",
    "results": "Over 1,000 homes in Toronto"
  },
  "search_metadata": {
    "created_at": "2026-08-06T18:46:11+00:00",
    "id": "search_2af4914e869a4a36958659ef",
    "parsing_time_taken": 0.02,
    "request_time_taken": 1.3,
    "request_url": "https://www.airbnb.ca/s/Toronto/homes?...",
    "status": "Success",
    "total_time_taken": 1.32
  },
  "search_parameters": {
    "adults": "2",
    "airbnb_domain": "airbnb.ca",
    "check_in_date": "2026-09-10",
    "check_out_date": "2026-09-12",
    "currency": "CAD",
    "engine": "airbnb",
    "q": "Toronto"
  },
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape Airbnb listings and prices?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
search-page	One page of Airbnb search results (about 18-20 listings) for a location and dates.	$0.018	$18.00

These prices apply from November 5, 2026, after Apify's 14-day notice of a price change; until then runs are charged the previous prices shown on the Pricing tab.

From November 5, 2026, paid Apify plans pay less: search-page up to 15% off (Bronze 5%, more on higher plans). The Pricing tab shows the price on your plan.

For example, 1,000 requests in the default mode cost $18.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

How many listings does one page return?

Airbnb shows about 18-20 listings per page. Set Pages per query to fetch more; each page is charged as one event.

Can I get availability and prices per night for a listing?

Yes: pass the listing id to the Airbnb Availability Calendar Scraper.

Is it legal to scrape Airbnb listings and prices?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/airbnb-search-scraper').call({
    "locations": [
        "Toronto"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/airbnb-search-scraper").call(run_input={
    "locations": ["Toronto"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Airbnb Availability Calendar Scraper: day-by-day availability and booking quotes for one listing
• Vrbo Scraper: the same market on Vrbo

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.