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Airbnb Room Details Scraper for CSV Export logo

Airbnb Room Details Scraper for CSV Export

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.

Output

CSV

Columns

18

Input

Room URLs

Waits

Built in

Template

Free

At a glance

Scrape Airbnb room details from known listing URLs

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

Airbnb data extractor use cases

Revenue analysts

Comp-set reviews

Favorable to scraping

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

Favorable to scraping

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

Nuanced outcome

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

Configure the Airbnb room scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Replace the room URLs

Open the Navigate block and replace the sample Airbnb room links with your approved listing URLs.

3

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.

4

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.

5

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

CSV columns produced by the Airbnb room details scraper

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_urltitlelocationnumber_of_guestsnumber_of_bedroomsnumber_of_bedsnumber_of_bathpriceratingnumber_of_reviewsamenitiessleeping_arrangementshosted_byresponse_rateimage_1image_2image_3current_time
https://www.airbnb.com/rooms/example-aBright studio near the canalEntire rental unit in Hackney2111USD 142 per night4.87126Wifi Kitchen WasherBedroom 1 queen bedPriya100%https://a0.muscache.com/im/pictures/example-a-1.jpghttps://a0.muscache.com/im/pictures/example-a-2.jpghttps://a0.muscache.com/im/pictures/example-a-3.jpg2026-05-31T13:50:00.000Z
https://www.airbnb.com/rooms/example-bPool home close to parksHome in Kissimmee6342USD 219 per night4.7258Pool Wifi Free parkingBedroom 1 king bed Bedroom 2 queen bedDaniel98%https://a0.muscache.com/im/pictures/example-b-1.jpghttps://a0.muscache.com/im/pictures/example-b-2.jpghttps://a0.muscache.com/im/pictures/example-b-3.jpg2026-05-31T13:50:00.000Z
airbnb-room-details-scraper.csv
CSV - UTF-8 - Append

Column

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.

Headers included - each successfully loaded room URL can append one row

Local Airbnb scraper vs hosted alternatives

OptionGood fitTrade-off
UScraper room details templateNo-code teams that need a local desktop app export from known room URLsBest for controlled batches, not large proxy-backed infrastructure
Hosted Airbnb actorsTeams that want managed scheduling, proxies, and API deliveryListing URLs and exported data pass through a third party and may bill per run
Airbnb API partner accessApproved businesses with official integration needsRequires platform approval and does not fit one-off CSV research jobs

Frequently asked questions

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

Practical limits and maintenance notes

Keep these constraints visible

Pacing

High-frequency runs can trigger friction

Keep batches modest, avoid parallel runs, and stop if Airbnb shows verification, blocked access, or unusual response pages.

Availability

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.

Compliance

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.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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