Market researchers
Guest sentiment
Favorable to scraping
Collect public review text from selected listings, then classify themes such as cleanliness, check-in friction, communication quality, and location trade-offs.
Travel & hotels$50Free
Airbnb Reviews Scraper for CSV Export
This Airbnb reviews scraper exports review details from Airbnb room or
/reviews URLs into a structured CSV. Import the workflow into the
UScraper local desktop app, replace the sample listing URL, and collect
reviewer names, locations, posted month, review text, trip purpose, star
rating, listing links, and average category ratings without building a
custom Airbnb review extractor.
Output
CSV
Columns
14
Input
URLs
Review pass
120 sec max
Template
Free
At a glance
Extract Airbnb review details from room URLs
Use this template when you already have Airbnb room URLs or direct review-page links and need a structured export for sentiment analysis, comp-set research, or evidence-backed reporting. It is focused on review details, not broad listing discovery. If you need to build a list of rooms first, start with the Airbnb Scraper by URL, Airbnb Room Details Scraper, or Airbnb Scraper by Keyword, then feed selected room links into this review workflow.
The automation is designed to be inspectable: Set Window Size ->
Navigate -> Wait for Page Load -> Wait for h1 -> Inject
JavaScript -> Sleep -> Wait for normalized review rows -> Structured Export
-> Loop Continue. The JavaScript pass opens the full reviews surface
when Airbnb exposes it, expands visible "show more" text, scrolls the modal or
page until review counts stabilize, creates hidden normalized row markers, and
lets Structured Export read only those rows.
Review details to CSV
Export listing links, category averages, reviewer identity fields, posted month, review text, trip purpose, and customer star rating in one file.
Built for URL batches
Add multiple room or /reviews URLs to the Navigate block and
let append mode stack rows across each input.
Local desktop custody
The workflow runs in the desktop app and writes to your configured folder unless you add a separate upload, sync, or sharing step.
Deduplicated review cards
Rows are keyed by reviewer, posted month, star rating, and location so repeated cards do not inflate the export.
Who uses it
Airbnb review data extractor use cases
Hosts and operators
Comp-set review
Favorable to scraping
Compare reviews across approved competitor or managed listings to see which category ratings and guest comments repeatedly explain performance.
Agencies
Client reporting
Nuanced outcome
Build an auditable download Airbnb reviews workflow with source URLs, reviewer locations, and row-level review text preserved for spot checks.
For adjacent travel datasets, pair this review workflow with Airbnb Hotel Details Scraper, Booking.com Reviews Scraper, and Tripadvisor Hotel Reviews Scraper. Browse the full UScraper template library when you need follow-up exports for hotel, rental, or local search research.
How to use
Configure the Airbnb reviews to CSV workflow
2
Replace the sample URL
Open the Navigate block and replace the bundled Airbnb room review URL with
your approved room or /reviews URLs.
3
Keep the waits and loader
Leave the page-load wait, h1 check, JavaScript review loader,
and short sleep in place so dynamic review modals have time to render.
4
Confirm the export path
Structured Export writes airbnb_en_review_details_scraper_final.csv
with headers and append mode. Change the save folder before client-specific
or market-specific batches.
5
Run and audit rows
Start with one listing, confirm that exported rows are real guest reviews, then expand the Navigate list for a larger scrape Airbnb reviews batch.
Output preview
CSV columns produced by the Airbnb review scraper
The export shape below mirrors the workflow definition. Sample rows are illustrative because Airbnb can vary review visibility, category averages, trip purpose text, and individual star ratings by page session.
| House_url | Review_url | Average_Cleanliness | Average_Accuracy | Average_Communication | UserName | Posted | Review | Purpose_Of_Trip | Customer_Star_Rating | Reviewer_Location |
|---|---|---|---|---|---|---|---|---|---|---|
| https://www.airbnb.com/rooms/788465505169839820 | https://www.airbnb.com/rooms/788465505169839820/reviews | 4.9 | 4.8 | 5.0 | Amanda | May 2026 | Clean place near transit. The host replied quickly and check-in was easy. | Stayed a few nights | Rating, 5 stars | Austin, Texas |
| https://www.airbnb.com/rooms/788465505169839820 | https://www.airbnb.com/rooms/788465505169839820/reviews | 4.9 | 4.8 | 5.0 | Javier | April 2026 | Good base for a short work trip. The location and Wi-Fi were the strongest parts. | Business trip | Rating, 5 stars | Madrid, Spain |
| https://www.airbnb.com/rooms/788465505169839820 | https://www.airbnb.com/rooms/788465505169839820/reviews | 4.9 | 4.8 | 5.0 | Priya | March 2026 | Comfortable stay with clear instructions. A little street noise at night. | Couple trip | Rating, 4 stars | Toronto, Canada |
airbnb_en_review_details_scraper_final.csvColumn
House_url
Normalized listing URL parsed from the Airbnb room page.
Column
Review_url
Direct review URL used or derived from the room URL.
Column
Average_Cleanliness
Listing-level cleanliness average when visible in the review surface.
Column
Average_Accuracy
Listing-level accuracy average when Airbnb exposes it.
Column
Average_Communication
Listing-level communication average for the same page session.
Column
Average_Location
Listing-level location average when present.
Column
Average_Check_in
Check-in average, including check-in and check in label variants.
Column
Average_Value
Listing-level value average when available.
Column
UserName
Reviewer name parsed from the review card.
Column
Posted
Review month and year, such as May 2026.
Column
Review
Cleaned guest review text after show-more expansion.
Column
Purpose_Of_Trip
Trip context such as business trip, family trip, or stayed a few nights when visible.
Column
Customer_Star_Rating
Individual review rating text, for example Rating, 5 stars.
Column
Reviewer_Location
Reviewer location text when Airbnb displays it.
Headers included - normalized review rows append from each supplied Airbnb URL
Comparison
Local Airbnb scraper vs cloud review actors
UScraper template
Local CSVHosted actor
Cloud runCustody
Runs in the desktop app
URLs and CSV rows stay in your local workflow unless you add sharing.
Runs on vendor infrastructure
Inputs and extracted review datasets pass through a third-party platform.
Billing
Free template import
Good for controlled review batches and spreadsheet-first research.
Usage-based execution
Often bills by request, runtime, proxy traffic, or stored dataset row.
Target
Known room and review URLs
Designed for listings you already selected and approved.
Managed scraping platform
Useful when you need APIs, proxy scale, scheduling, and monitoring.
Frequently asked questions
Airbnb reviews may be publicly visible, but automated collection can still be restricted 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 run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
High-frequency runs can trigger friction
Keep batches modest, avoid parallel runs, and pause if Airbnb shows verification, blocked access, or repeated empty pages. Longer waits are usually better than forcing faster loops.
Layout drift
Review markup can change
The template expands show-more text, scrolls lazy-loaded review surfaces, and normalizes row attributes, but Airbnb redesigns can still require JavaScript maintenance.
Compliance
Review platform and local rules
Respect Airbnb policies, robots directives, privacy obligations, copyright limits, and local short-term rental regulations before publishing or reselling review datasets.
Download the free template, install the desktop client from UScraper download, and use this workflow whenever you need to export Airbnb reviews from selected listings into a structured 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
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