Revenue analysts
Comp-set reviews
Export selected short-term rental comps, then compare visible price, capacity, rating, and amenities beside internal ADR or occupancy models.
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This Airbnb room details scraper exports detail-page data from Airbnb room URLs into a structured CSV. Import the workflow into the UScraper local desktop app, replace the sample room links, and capture title, location, guests, bedrooms, beds, baths, price, rating, reviews, amenities, sleeping arrangements, host, response rate, image URLs, and scrape time without writing a crawler.
CSV
18
Room URLs
Built in
Free
At a glance
Use this template when you already have Airbnb room links from a shortlist, saved search, manual review, or another approved collection step. Instead of crawling broad search pages, UScraper visits each supplied detail URL and writes the current page data into airbnb-room-details-scraper.csv.
The automation is intentionally inspectable: Navigate -> wait for load -> wait for the room heading -> pause for dynamic content -> check error headings -> Structured Export -> Loop Continue. That gives analysts a practical Airbnb to CSV workflow while keeping the browser session and output file local.
Listing details to CSV
Export room titles, location text, capacity counts, price, rating, review count, amenities, host fields, image URLs, and scrape timestamp.
Built for URL batches
Replace the five bundled room URLs with your own approved Airbnb links and let append mode stack successful rows into one file.
Local desktop custody
The workflow runs in the desktop app and writes to the configured folder unless you add your own upload, sync, or sharing step.
Guards against blank rows
Error and placeholder pages are routed around the export step, reducing empty rows from stale room links or unavailable pages.
Who this is for
Revenue analysts
Comp-set reviews
Export selected short-term rental comps, then compare visible price, capacity, rating, and amenities beside internal ADR or occupancy models.
Operators and hosts
Listing watchlists
Track a defined set of rooms over time and keep the original Airbnb URL beside every exported row for later spot checks.
Market researchers
Structured room datasets
Collect host, amenity, image, and sleeping-arrangement fields for approved research without building a custom Airbnb listing details scraper.
Pair this detail workflow with the Airbnb Scraper by URL, Airbnb Scraper by Keyword, and Airbnb Room Listings Scraper when you need to discover room URLs first. For adjacent property research, compare the Zillow Details Scraper or browse the full UScraper template library.
How to use
Replace the room URLs
Open the Navigate block and replace the sample Airbnb room links with your approved listing URLs.
Keep the waits and guards
Leave the page-load wait, heading wait, short sleep, and placeholder checks in place so dynamic room pages have time to render.
Confirm the export path
Structured Export writes airbnb-room-details-scraper.csv with headers and append mode. Change the folder before client or market-specific runs.
Run and review
Start the workflow, inspect row counts, and spot-check several URLs before using the CSV in reporting, enrichment, or analysis.
Navigate -> Wait for Page Load -> Wait for Element -> Sleep -> Text Contains -> Structured Export -> Loop Continue. The true branches for error headings skip export and move to the next URL.
Output preview
The sample rows below are illustrative, but the column names match the workflow definition. Airbnb can vary price, currency, review visibility, and amenities by date, locale, login state, and availability.
| page_url | title | location | number_of_guests | number_of_bedrooms | number_of_beds | number_of_bath | price | rating | number_of_reviews | amenities | sleeping_arrangements | hosted_by | response_rate | image_1 | image_2 | image_3 | current_time |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://www.airbnb.com/rooms/example-a | Bright studio near the canal | Entire rental unit in Hackney | 2 | 1 | 1 | 1 | USD 142 per night | 4.87 | 126 | Wifi Kitchen Washer | Bedroom 1 queen bed | Priya | 100% | https://a0.muscache.com/im/pictures/example-a-1.jpg | https://a0.muscache.com/im/pictures/example-a-2.jpg | https://a0.muscache.com/im/pictures/example-a-3.jpg | 2026-05-31T13:50:00.000Z |
| https://www.airbnb.com/rooms/example-b | Pool home close to parks | Home in Kissimmee | 6 | 3 | 4 | 2 | USD 219 per night | 4.72 | 58 | Pool Wifi Free parking | Bedroom 1 king bed Bedroom 2 queen bed | Daniel | 98% | https://a0.muscache.com/im/pictures/example-b-1.jpg | https://a0.muscache.com/im/pictures/example-b-2.jpg | https://a0.muscache.com/im/pictures/example-b-3.jpg | 2026-05-31T13:50:00.000Z |
airbnb-room-details-scraper.csvColumn
page_url
The final Airbnb room URL loaded by the browser.
Column
title
Visible page heading or metadata fallback.
Column
location
Room, home, unit, or apartment location phrase.
Column
number_of_guests
Guest capacity parsed from page text.
Column
number_of_bedrooms
Bedroom count when visible or present in metadata.
Column
number_of_beds
Bed count from listing summary text.
Column
number_of_bath
Bath count, including private or shared bath wording when present.
Column
price
Visible nightly price text when returned for the current date and session.
Column
rating
Listing rating from metadata or visible review text.
Column
number_of_reviews
Review count normalized without commas.
Column
amenities
Amenities under the place-offers section.
Column
sleeping_arrangements
Sleeping section text when available.
Column
hosted_by
Host name captured from visible copy.
Column
response_rate
Host response rate if Airbnb exposes it.
Column
image_1
Primary image URL from metadata or visible images.
Column
image_2
Second listing image URL where available.
Column
image_3
Third listing image URL where available.
Column
current_time
ISO timestamp generated at export time.
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper room details template | No-code teams that need a local desktop app export from known room URLs | Best for controlled batches, not large proxy-backed infrastructure |
| Hosted Airbnb actors | Teams that want managed scheduling, proxies, and API delivery | Listing URLs and exported data pass through a third party and may bill per run |
| Airbnb API partner access | Approved businesses with official integration needs | Requires platform approval and does not fit one-off CSV research jobs |
Airbnb room pages may be public, but automated collection can still be limited by Airbnb Terms of Service, robots directives, anti-automation controls, copyright, privacy law, and local short-term rental rules. Keep runs modest, avoid bypassing access controls, and get legal review before commercial use.
Before you scale
Keep these constraints visible
High-frequency runs can trigger friction
Keep batches modest, avoid parallel runs, and stop if Airbnb shows verification, blocked access, or unusual response pages.
Fields can be blank on valid pages
Prices, ratings, response rate, and amenities depend on dates, locale, page state, and visible content. Treat blanks as review signals.
Review platform and local rules
Check Airbnb Terms of Service, robots directives, privacy obligations, and short-term rental regulations before publishing or reselling datasets.
Download the free template, install the desktop client from UScraper download, and use this workflow whenever you need to download Airbnb listing data from known room URLs into a reviewable local CSV.
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