Airbnb Listing Details Scraper - Ratings, Host & Property

Give it Airbnb listing URLs or room IDs and get back structured detail rows: overall rating, review count, sub-ratings, superhost flag, host name, capacity, beds, city and coordinates - with photos optional. No login, no API key.

• By URL or room ID - paste listings, get 31 stable columns each
• Ratings incl. sub-scores - cleanliness, accuracy, check-in, communication, location, value
• Host context - name, superhost status
• Geo ready - latitude/longitude on every listing for mapping

Quick start

Open the actor, keep the defaults, press Save & start. The reference run below is exactly that. Then adjust the input for your own search and export CSV, JSON or Excel from the dataset tab - or call it from the API and read the dataset programmatically.

A real row

Straight from a reference run, trimmed to the highlights:

{
  "room_id": "20669368",
  "name": "Little Country Houses - Finley's Fort + hot tub",
  "url": "https://www.airbnb.com/rooms/20669368",
  "description": "A stunning, hand crafted cabin with your own private jacuzzi hot tub located in the beautiful North Cotswold Countryside.  A haven to escape to for couples - we do not accept infants in this cabin.\n\nTo truly relax you do not need to drive anywhere as we are just a 5 minute walk from the pretty village of Mickleton where there are 2 pubs, a village shop, deli, butchers and hotel.  \n\nIF BOOKED CHECK OUR OTHER CABINS - DAISY'S DEN, DJ'S DIGS, MIRTS MANSION AND JEDS SHED",
  "property_type": "Tiny home",
  "room_type": "Entire home/apt",
  "person_capacity": 2,
  "bedrooms": 1,
  "beds": 1,
  "bathrooms": 1,
  "rating": 4.91,
  "review_count": 321
}

How it works

Each listing page embeds its data as JSON-LD plus a deferred state blob; the actor fetches the page, parses both, reconciles them into one row and moves to your next listing. No browser is spun up, which is why runs finish in seconds.

Every column, with measured fill

Column	Filled on the reference run
room_id	100%
name	100%
url	100%
description	100%
property_type	100%
room_type	100%
person_capacity	100%
bedrooms	100%
beds	100%
bathrooms	100%
rating	100%
review_count	100%
rating_accuracy	100%
rating_cleanliness	100%
rating_location	100%
rating_value	100%
rating_checkin	100%
rating_communication	100%
is_superhost	100%
is_guest_favorite	100%
host_name	100%
host_id	100%
host_rating_count	100%
locality	100%
latitude	100%
longitude	100%
image	100%
images_count	100%
scraped_at	100%
actor_build	100%
actor_run_id	100%

A missing value is null; the column set never shifts, so your CSV import is stable across runs.

Input reference

Field	Type	Default	Notes
listingUrls	array	['https://www.airbnb.c	Full listing URLs, e.g. https://www.airbnb.com/rooms/20669368. Extra query parameters are fine and are ignored
roomIds	array		Bare numeric Airbnb room IDs, e.g. 20669368 — the number at the end of a listing URL.
includeImages	boolean	False	Add an 'images' array with every photo URL found. Off = only the main photo plus a count.
locale	string	en	Preferred content language for the listing text, e.g. en, fr, es, de.
maxItems	integer	50	Maximum number of listings to scrape in this run.
proxyConfiguration	object	{'useApifyProxy': Fals	Optional. Route requests through Apify Proxy. Recommended for larger runs: this site throttles or blocks datac

Pricing

Pay per result - charged only for rows delivered; the current rate is on this page's Pricing tab. Zero results cost zero, and failed fetches are never billed.

Use cases

• Comp analysis - Rate and review-count benchmarks for listings you manage or scout
• Market scans - Turn a saved list of candidate properties into a comparable table
• Due diligence - Verify a listing's real ratings before booking blocks or partnerships

Honest limits

We would rather say it here than have you find out on a paid run:

• Nightly price is not in the output - Airbnb renders price client-side per date search, so any price this page could show would be wrong more often than right. This actor ships the listing facts that are stable
• One listing in = one row out; it does not discover listings by area (by design - discovery is a different, heavier product)

Scheduling & integrations

Every input works identically from the API, so this actor drops into schedules and pipelines: run it on an Apify Schedule for a recurring export, point a webhook at the finished run to push rows into Slack, Google Sheets (via Zapier/Make/n8n) or your warehouse, and page through the dataset with the standard Dataset API. Saved tasks keep your configuration one click away.

FAQ

Why is there no price column? Airbnb computes price per dates/guests at request time; a scraped 'price' would be misleading. Everything else on the listing page is fair game.

Can it find listings in a city? No - it details listings you already have. Feed it URLs from your own search.

Related actors from this account

• Hotel Host Leads Scraper
• Local Business Leads
• Google Maps Places

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Built by Flash Scrape - measured claims, stable columns, no API keys. Something missing? Open an issue on this actor and ask.