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Airbnb URL Scraper

Pricing

from $5.00 / 1,000 pages

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Airbnb URL Scraper

Airbnb URL Scraper

Airbnb page data from any Airbnb URL: name, type, rooms, guests, rating, reviews, location, and photos.

Pricing

from $5.00 / 1,000 pages

Rating

0.0

(0)

Developer

datacortex

datacortex

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

13 hours ago

Last modified

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Airbnb page data from any Airbnb URL: name, type, rooms, guests, rating, reviews, location, and photos.

For hosts, property managers, and travel analysts who work with Airbnb links. Every run tells you plainly what worked and what did not: no silent empty runs.

What you can do with it

  • Link lists: paste the room links you already have and get one clean row each.
  • Competitor sets: compare rating, reviews, and room counts.

What you get

FieldWhat it isExample
inputThe URL you submitted.https://www.airbnb.com/rooms/11984394
typelisting, experience, service, search, page, or error.listing
urlCanonical page URL when present.https://www.airbnb.com/rooms/11984394
listingIdNumeric id from a rooms, experiences, or services URL.11984394
titleHeadline Airbnb shows for the listing, with type, rating, and room counts.Home in Costa da Caparica · ★4.96 · 2 bedrooms · 3 beds · 1 bath
descriptionFull listing description.Bright and airy beach house in Fonte da Telha, perfect for relaxed st…
nameName the host gave the listing.Salty Soul Beach House – Spacious Beach Retreat
propertyTypeType from the listing headline, for example Home, Apartment, Condo, or Room.Home
bedroomsBedrooms (0 for a studio).2
bedsBeds.3
bathsBathrooms.1
maxGuestsMaximum number of guests.6
ratingAverage guest rating (out of 5).4.96
reviewsCountNumber of guest reviews.342
latitudeApproximate latitude Airbnb publishes for the listing.38.57553
longitudeApproximate longitude Airbnb publishes for the listing.-9.19756
pricePrice when the page shows one. Airbnb usually shows prices only for chosen dates, so this is often empty.
currencyISO currency code when present.
locationCity / region / country when present.Costa da Caparica
imageUrlPrimary photo URL.https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc…
imagesListing photo URLs.[https://a0.muscache.com/im/pictures/hosting/Hosti…, …]

Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.

One row per URL.

How to use it

  1. Click Try for free (or Start) on this page.
  2. Enter one Airbnb URL per line in the first field. The form is prefilled with a working example.
  3. Optional: set Max results and the other options.
  4. Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.

Example input

{
"urls": [
"https://www.airbnb.com/rooms/11984394"
],
"maxResults": 1
}

Example output

One real row from a run on 17 October 2026 (long values shortened here):

{
"input": "https://www.airbnb.com/rooms/11984394",
"type": "listing",
"url": "https://www.airbnb.com/rooms/11984394",
"listingId": "11984394",
"title": "Home in Costa da Caparica · ★4.96 · 2 bedrooms · 3 beds · 1 bath",
"description": "Bright and airy beach house in Fonte da Telha, perfect for relaxed stays by the coast. Enjoy outdoor breakfasts on the spacious private patio and comfortable…",
"name": "Salty Soul Beach House – Spacious Beach Retreat",
"propertyType": "Home",
"bedrooms": 2,
"beds": 3,
"baths": 1,
"maxGuests": 6,
"rating": 4.96,
"reviewsCount": 342,
"latitude": 38.57553,
"longitude": -9.19756,
"price": null,
"currency": null,
"location": "Costa da Caparica",
"imageUrl": "https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6MTE5ODQzOTQ=/original/21aa29f2-7d7f-4ee8-abb3-55565d8a1bb4.jpeg",
"images": [
"https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6MTE5ODQzOTQ=/original/21aa29f2-7d7f-4ee8-abb3-55565d8a1bb4.jpeg",
"https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6MTE5ODQzOTQ=/original/13844a81-9e71-4e90-9452-45e1e3f13451.jpeg",
"https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6MTE5ODQzOTQ=/original/03113d9c-e92f-4cad-997c-51c7d4f62493.jpeg",
"…"
]
}

Pricing

Pay per result: $5.00 per 1,000 rows, plus $0.001 per run start. No subscription.

EventWhenPrice
Actor startOnce per run (per GB of memory; the default 256 MB counts as one)$0.001
Result rowEach row saved to the dataset$0.005
ExampleRowsCost
10 pages10$0.001 + $0.05 = $0.051
100 pages100$0.001 + $0.50 = $0.501
1,000 pages1,000$0.001 + $5.00 = $5.001
  • Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
  • An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
  • Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

What you can count on

  • Same columns on every row. Missing values are null, so spreadsheets and databases never break.
  • No silent failures. An input that fails gets an error row with errorCode and a plain-language errorMessage. The other inputs keep running.
  • A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the RUN_SUMMARY record in the run's key-value store, for automations.
  • Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
  • Limits respected. Max results and your spending limit stop the run cleanly.

Use it from code, automations, and AI agents

API (returns the rows when the run finishes):

curl -X POST "https://api.apify.com/v2/acts/datacortex~airbnb-url-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"urls": ["https://www.airbnb.com/rooms/11984394"], "maxResults": 1}'

Python (pip install apify-client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datacortex/airbnb-url-scraper").call(run_input={"urls": ["https://www.airbnb.com/rooms/11984394"], "maxResults": 1})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
print(row)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('datacortex/airbnb-url-scraper').call({"urls": ["https://www.airbnb.com/rooms/11984394"], "maxResults": 1});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

AI agents (MCP): add https://mcp.apify.com?tools=datacortex/airbnb-url-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

Limitations

  • Nightly prices are usually empty: Airbnb shows them only after a guest picks dates.
  • Search pages are not expanded into listing rows.

FAQ

What does an error row mean? It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.

Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

Support

Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.