Airbnb Scraper: Listing Details & Prices by Room URL

What does Airbnb Scraper do?

Airbnb Scraper turns Airbnb listing URLs or ids into one clean record per listing: the host's title, property and room type, bedrooms, beds, bathrooms and guests, coordinates, rating and the six category ratings, the host, every amenity, house rules, sleeping arrangements and all photos. Add check-in and check-out dates and each listing also gets its availability and price for that stay: total before taxes, nightly rate and Airbnb's full breakdown (discounts, fees). No login, no cookies, no Airbnb account. Unofficial; not affiliated with Airbnb.

It is not a search tool: Airbnb's robots.txt disallows its search pages for every crawler, so this actor reads listings by their own link. Give it the listings you track (yours, your competitors', a market you study).

Input fields · API · Use it from Claude, ChatGPT or Cursor (MCP)

Jump to: Fields · Price · How to use · Input · Output · Switching · AI agents (MCP) · Limits · FAQ

Try it in one click: the input comes pre-filled with two listings (a cabin in the Cotswolds and a flat in Paris). That's 2 listings, or about $0.0096 (2 × $4.75/1,000, plus $0.00005 for the run start). Then replace them with the listings you want, and add dates for prices.

What data does Airbnb Scraper return?

Field	Example	Notes
title	cozy full renewed 2 Bdr Paris heart	The host's own name for the listing
propertyType, roomType	Entire rental unit, Entire home/apt
bedrooms, beds, bathrooms	2, 3, 1.0	Numbers; a studio is 0 bedrooms, half baths are .5
personCapacity	6
latitude, longitude	48.86301, 2.34911	Approximate unless isExactLocation
rating, reviewCount, ratings	4.9, 667, {"cleanliness": 4.89, ...}	Six categories: accuracy, check-in, cleanliness, communication, location, value
host	{"name": "Stéphane", "isSuperhost": true, "yearsHosting": 12, "responseRate": 100, ...}	As the listing shows the host
amenities, notIncluded	["Kitchen", "Wifi", ...]	Also grouped in amenityGroups
houseRules, safety	[{"rule": "No pets", ...}]	With the host's own text (check-in times, quiet hours)
photos	[{"url": "...", "room": "Living room"}]	Every photo, with the room it shows
available, unavailableReason	true, null	Only with dates
priceTotal, pricePerNight, nightlyRate	1254.39, 418.13, 428.85	Only with dates; before taxes, in currency
priceLines	[{"description": "Discount from Airbnb", "amount": -32.16}]	Airbnb's breakdown
missing	[]	Fields Airbnb didn't show for this listing (left null)

Every result has the same fields; the full list is under Output.

How much does it cost to scrape Airbnb listings?

You pay per listing returned: $4.75 per 1,000 listings on Apify's Free plan, $2.85 on Starter, $2.35 on Scale and $1.85 on Business, plus $0.00005 each time a run starts. The price for your dates is included; there's no extra charge for it or for host details.

• The example below: 2 listings × $4.75/1,000 = $0.0095, plus the start fee.
• A month, for example: a property manager checking 200 competitor listings with next weekend's dates every day is 6,000 listings ≈ $17 on Starter.
• Caps: Max results per run in the input, and Maximum cost per run in the run options. The run stops cleanly at whichever comes first, and stops fetching as soon as the limit is covered.

Never charged: removed listings, search links and other lines that aren't a listing, requests Airbnb refuses, and the same listing pasted twice (it's read once).

How to scrape Airbnb listings and prices

1. Open Airbnb Scraper and click Try for free (or Start if you're signed in).
2. In Airbnb listings, paste one listing link per line (https://www.airbnb.com/rooms/..., any country's Airbnb domain) or just the ids.
3. Optional: set Check-in date and Check-out date (and guests) for availability and prices, and a currency.
4. Click Start, then open the Output tab and export as JSON, CSV or Excel.

Example: a Paris flat for three nights

Input:

{"listings": ["https://www.airbnb.com/rooms/2005815"], "checkIn": "2027-02-15", "checkOut": "2027-02-18", "adults": 2}

Output (real, from a live run on 2026-11-04; long lists shortened):

{
  "id": "2005815",
  "url": "https://www.airbnb.com/rooms/2005815",
  "title": "cozy full renewed 2 Bdr Paris heart",
  "propertyType": "Entire rental unit",
  "roomType": "Entire home/apt",
  "summary": "Entire rental unit in Paris, France",
  "personCapacity": 6,
  "bedrooms": 2,
  "beds": 3,
  "bathrooms": 1.0,
  "locationName": "Paris, Île-de-France, France",
  "latitude": 48.86301,
  "longitude": 2.34911,
  "rating": 4.9,
  "reviewCount": 667,
  "ratings": {"accuracy": 4.91, "checkIn": 4.97, "communication": 5.0, "value": 4.82, "cleanliness": 4.89, "location": 4.92},
  "isGuestFavorite": true,
  "isSuperhost": true,
  "host": {"name": "Stéphane", "id": "10326336", "isSuperhost": true, "isVerified": true, "yearsHosting": 12,
           "monthsHosting": 11, "rating": 4.88, "reviewCount": 724, "responseRate": 100,
           "responseTime": "within a few hours"},
  "highlights": ["In the 1st, near Les Halles", "Quiet inside with a full kitchen", "Stéphane goes above and beyond"],
  "amenities": ["City skyline view", "Bathtub", "Hair dryer", "..."],
  "sleepingArrangements": [{"room": "Bedroom 1", "beds": "1 queen bed"}, {"room": "Bedroom 2", "beds": "1 double bed"}],
  "houseRules": [{"group": "House rules", "rule": "Up to 6 overnight guests", "details": null}, "..."],
  "photoCount": 20,
  "missing": [],
  "checkIn": "2027-02-15",
  "checkOut": "2027-02-18",
  "nights": 3,
  "adults": 2,
  "currency": "USD",
  "available": true,
  "priceTotal": 1254.39,
  "pricePerNight": 418.13,
  "nightlyRate": 428.85,
  "priceLabel": "$1,255 for 3 nights",
  "priceLines": [{"description": "3 nights x $428.85", "amount": 1286.55, "originalAmount": null},
                 {"description": "Discount from Airbnb", "amount": -32.16, "originalAmount": null}],
  "canInstantBook": false,
  "cancellationNote": "$0 today · Free cancellation before February 10",
  "maxGuests": 6
}

Input

Field	What it does
Airbnb listings (listings)	One listing link or id per line. startUrls (strings or {"url": ...}) is read too.
Check-in date (checkIn), Check-out date (checkOut)	YYYY-MM-DD. With both, every listing gets availability and price for the stay. Dates in a pasted link are used for that line when these are empty.
Adults, Children, Infants, Pets (adults, children, infants, pets)	Guests for the price. Adults default to 1.
Currency (currency)	3-letter code, default USD.
Max results per run (maxResults)	Cap the number of listings (maxItems is read too).

{
  "listings": ["https://www.airbnb.com/rooms/20669368", "2005815"],
  "checkIn": "2027-02-15",
  "checkOut": "2027-02-18",
  "adults": 2,
  "currency": "EUR",
  "maxResults": 100
}

Output

One record per listing, every field present on every record. Fields Airbnb doesn't show for a listing are null and named in missing; without dates the price fields are null. The full field list with descriptions is on the Output tab (dataset schema). id is Airbnb's listing id and stable across runs, so you can use it to deduplicate or join runs. The run's RUN_STATS record lists every input line, what it returned and anything that failed, with the reason.

Switching from another Airbnb actor?

Most Airbnb actors take the same things under similar names. Here's where yours go:

What you had	Put it here
Room links in startUrls (strings or {"url": ...} objects)	Airbnb listings (listings), one per line; startUrls itself is read too
checkIn / checkOut, adults, children, infants, pets, currency	The same names here
A cap like maxItems	Max results per run (maxResults); maxItems is read too
Search URLs or location queries ("London")	Not available: Airbnb's robots.txt disallows search pages. Paste the listings' own links
"Enrich host profiles"	Not needed for the listing's host card: name, Superhost, years hosting, rating and response rate are in host. Full profile pages aren't read

The output is flat JSON with the usual names (title, roomType, personCapacity, rating, reviewCount, amenities, photos), and price fields are plain numbers in your currency.

Run it on a schedule, or from your own code

1. Save your input as a task (Save as a new task, top right of the actor page) and add it to a schedule (Console → Schedules → Create new). Prices change daily, so a daily task with fixed dates tracks a stay's price over time.
2. Collect results: download the dataset as JSON, CSV or Excel; fetch the latest run's results from the API (GET https://api.apify.com/v2/actor-tasks/<task id>/runs/last/dataset/items?status=SUCCEEDED&format=csv, with your API token); let a webhook tell your system when a run succeeds; or connect it to Make, Zapier or n8n through Apify's integrations.

Can I use Airbnb Scraper from an AI agent (MCP)?

Yes, through Apify's MCP server, from Claude, ChatGPT, Cursor or any other MCP client. Add this to your client's MCP configuration (or let the agent find it with the server's actor search); your client signs you in to Apify:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=humble-echidna/airbnb-scraper"
    }
  }
}

To use an Apify API token instead of signing in, add "headers": {"Authorization": "Bearer <APIFY_TOKEN>"} next to url.

The agent passes the listing links someone gave it, with dates when price matters: {"listings": ["https://www.airbnb.com/rooms/20669368"], "checkIn": "2027-02-15", "checkOut": "2027-02-18"}.

Who it's for

Short-term rental hosts and property managers pricing against the listings around them; investors and analysts comparing specific properties (beds, ratings, amenities, nightly rates); travel and relocation teams pricing a stay across a shortlist; and AI agents that need to read an Airbnb link someone pasted.

Why this one?

• One changed section never fails a listing. Each field is read on its own: if Airbnb renames a section, that field is null and named in missing, and everything else still comes back. A failed price lookup keeps the listing too.
• The fields people ask for. The host's real title (not a summary line), beds, bedrooms and bathrooms as numbers, the full description, the nightly rate and every line of the price breakdown, house rules with the host's own text.
• Dates are honoured. From the input, or from the link itself when you paste one with check_in/check_out.
• Honest failures, never charged. A removed listing, a search link or a refused request is named in the log and RUN_STATS with the reason, costs nothing, and never stops the rest of the run.
• Polite. It identifies itself honestly (User-Agent HumbleEchidnaApify), follows Airbnb's robots.txt, and reads at most 4 listings at a time.

Limits

• No search. Airbnb's robots.txt disallows search pages (/s/...) for every crawler. Search, destination and short (/h/...) links fail with that reason; paste the listings' full links.
• No reviews text, no availability calendar. Review pages are disallowed by robots.txt; the listing's rating, review count and category ratings are included. For availability, ask for specific dates.
• Prices are what a logged-out visitor sees: before taxes, in the currency you choose, for the guests you set. Airbnb may show different prices to signed-in guests (member discounts) and changes them daily.
• Location is Airbnb's approximate point unless isExactLocation is true; the street address isn't public.
• Host data is what the listing's host card shows. Full host profiles and host photos aren't read.

FAQ

Is it legal to scrape Airbnb?

This actor reads only what www.airbnb.com shows a visitor who isn't logged in, on a listing's own page and its booking box. It never logs in, uses no account, cookie or session, follows Airbnb's robots.txt, and never tries to get past a bot check (a refused request is reported, not retried around). Two things you should know before using the data:

• Airbnb's Terms of Service (section 11.1, airbnb.com/help/article/2908) say: "Do not use bots, crawlers, scrapers, or other automated means to access or collect data or other content from or otherwise interact with the Airbnb Platform."
• Listing pages carry the host's first name and some host details. That can be personal data where you are: collect only what you have a lawful reason for.

Courts have treated reading public, logged-out pages differently from breaking into accounts, but the law depends on where you are and what you do with the data; get your own legal advice for anything beyond personal research. If you're Airbnb and want something changed or taken down, open an issue and it will be handled quickly.

Why did a line return nothing?

The run log and RUN_STATS say why, per line: the listing was removed (Airbnb answers "gone" or sends visitors to a search page), the line is a search or short link, or Airbnb refused the request. Every other line in the run is unaffected, and failed lines aren't charged. If a listing that opens fine in your browser fails with "Airbnb has probably changed its listing pages", please open an issue with the input you used.

Why is the price empty for some listings?

The dates are booked or break the listing's rules (minimum stay, check-in days, pets): available is false and unavailableReason gives Airbnb's message. Without dates, the price fields are always empty.

How is this different from Airbnb's official API?

Airbnb's API is only for approved partners (hosts' software and channel managers) and covers their own listings. This actor reads any public listing by its link and needs no partnership.

Related actors

Actor	Use it when
Dataset Diff	You re-check the same listings on a schedule and want what changed (prices, ratings) since the last run.
Dataset Transform	You want a CSV with just the columns you need.

Feedback and support

Found a bug, or need a field that isn't here? Open an issue on the Issues tab with the input you used.

Versions

Current version: 0.1. See the Changelog tab for what changed in each version.