Airbnb Search Scraper

Search Airbnb stays for any location and dates, and get the full listing card for each result — name, nightly/total price, rating, review count, room type, beds, coordinates, superhost & guest-favorite badges, photo, and the listing URL. No login, no browser to manage, fast JSON.

Give it a place (city, region, or landmark) and, optionally, dates and guest count. It reads Airbnb's own search results (18 per page) and pages through them when you ask for more. The listing URLs it returns feed straight into the Airbnb Listing Detail Scraper and Airbnb Listing Reviews Scraper.

Pricing: $4.00 per 1,000 listings (pay per result) — you're only charged for listings actually returned.

What you get

Every listing returns:

Field	Description
room_id	Airbnb listing id (stable dedup key)
name	Listing title (e.g. "Latin Quarter & Seine Studio")
room_type	Type + area (e.g. "Apartment in 5th Arrondissement")
url	airbnb.com/rooms/<id> — feeds the Detail & Reviews scrapers
price	Displayed price (e.g. $294)
price_qualifier	What the price covers (e.g. "for 2 nights")
price_label	Full price line, incl. any strike-through original
rating	Guest rating, 0–5 (null when "New")
review_count	Number of reviews (0 when "New")
beds / baths / bedrooms	Room info when shown on the card
latitude / longitude	Map coordinates
is_superhost	Host is a Superhost
is_guest_favorite	Listing carries the Guest Favorite badge
image	Primary photo URL

Input

Field	Required	Description
location	✓	Where to search — a city, region or landmark (e.g. Paris, New York, Lake Tahoe)
checkin		Check-in date YYYY-MM-DD. Dates make the price show the stay TOTAL. Defaults to ~3 weeks out.
checkout		Check-out date YYYY-MM-DD. Defaults to 2 nights after check-in.
adults		Number of adult guests (default 2)
max_results		How many listings to return (default 18). Above ~18 it pages through Airbnb's results.

{ "location": "Barcelona", "checkin": "2026-09-10", "checkout": "2026-09-13", "adults": 2, "max_results": 36 }

Example output

{
  "room_id": "1344613022983239452",
  "name": "Latin Quarter & Seine Studio",
  "room_type": "Apartment in 5th Arrondissement",
  "url": "https://www.airbnb.com/rooms/1344613022983239452",
  "price": "$294",
  "price_qualifier": "for 2 nights",
  "rating": 4.83,
  "review_count": 65,
  "beds": "1 bed",
  "latitude": 48.8464,
  "longitude": 2.3522,
  "is_superhost": false,
  "is_guest_favorite": true,
  "image": "https://a0.muscache.com/im/pictures/hosting/...jpeg"
}

Notes & limits

• Prices are availability- and date-sensitive: a dated search shows the stay total; an undated search uses a default 2-night stay ~3 weeks out. rating/review_count are null/0 for brand-new listings.
• Results come back in Airbnb's own ranking order and are deduped by room_id.
• This returns the search card for each stay. For the full listing (amenities, host, description, photos, sub-ratings) use the Airbnb Listing Detail Scraper; for guest reviews use the Airbnb Listing Reviews Scraper — both take the url this scraper returns.

Use it from Python

from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("<THIS_ACTOR_ID>").call(run_input={"location": "Paris", "max_results": 36})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["price"], item["url"])