Revenue analysts
Market comps
Favorable to scraping
Collect comparable listings for a city, neighborhood, or amenity keyword, then compare visible price text, ratings, and review counts beside your own ADR and occupancy model.
Travel & hotels$50Free
Airbnb Scraper by Keyword for CSV Export
This Airbnb scraper by keyword turns a curated list of Airbnb listing URLs into a structured CSV for short-term rental research. Import the workflow into the UScraper local desktop app, replace the sample keyword or URL list, and export room title, room name, rating, review count, price, listing URL, host, and host type without writing a custom crawler.
Output
CSV
Columns
9
Input
URL list
Waits
Built in
Template
Free
At a glance
Export Airbnb listings from keyword batches
Airbnb search pages can change by market, date, guest count, language, and availability. This template takes a controlled route: collect the listing URLs for a keyword search, place them in the Navigate block, and let UScraper visit each detail page one by one. The bundled sample uses three room URLs and a fixed keyword value of London; both are meant to be edited before your own run.
The automation path is straightforward: set a stable browser size, navigate to the next listing URL, wait for load, pause briefly, wait for the page heading, confirm that Airbnb exposes a contact-host link, then export the fields from the page body. If a room is expired, blocked, or no longer has the expected listing structure, the false branch skips export and continues the loop.
Airbnb to CSV without code
Export the fields teams usually need for comps research: keyword, title, listing name, review signal, price text, direct URL, host, and Superhost status when present.
Designed for repeatable batches
Replace the sample URLs with the rooms returned by your approved keyword search, then let append mode stack valid detail pages into one file.
Local desktop custody
The workflow runs in the desktop app and writes to your configured folder, so query lists and CSV rows stay under your control.
No marketplace credits
Use the free template for small research runs without paying per listing, per request, or per hosted actor minute.
Who this helps
Use cases for an Airbnb data extractor
STR operators
Supply monitoring
Favorable to scraping
Build a repeatable CSV trail for active rooms you monitor manually today. The direct room URL column makes later spot-checking faster.
Research teams
Host analysis
Nuanced outcome
Export host names and host type signals for approved research workflows, then enrich only the rows that pass your compliance review.
For adjacent property research, pair this page with the Airbnb Room Listings Scraper, Zillow Listing Scraper by Keyword, and TripAdvisor Hotels Scraper. Browse the full UScraper template library when you need more travel, real-estate, or directory workflows.
How to use
Configure the Airbnb scraper workflow
2
Replace the input URLs
Open the Navigate block and replace the three sample Airbnb room URLs with listing URLs from your keyword research batch.
3
Set the keyword label
Edit the Keyword column expression from London to the city, theme, or search phrase you are collecting.
4
Confirm the export path
Structured Export writes airbnb-scraper-by-keyword.csv with headers and append mode. Change the save folder before client or market-specific runs.
5
Run and review
UScraper visits each URL, waits for the listing page, skips invalid rooms, exports valid rows, and continues through the list.
Output preview
CSV columns produced by the Airbnb listings scraper
The export mirrors the workflow definition. Sample rows below are illustrative because Airbnb listings, prices, ratings, and availability vary by market, date, locale, and browser session.
| Keyword | roomTitle | roomName | roomRating | roomReviewcount | roomPrice | roomURL | Host | hostType |
|---|---|---|---|---|---|---|---|---|
| London | Entire rental unit in Hackney | Bright flat near the canal | 4.87 | 126 | $142 per night | https://www.airbnb.com/rooms/example-a | Stay with Priya | Superhost |
| London | Private room in Camden | Quiet room near the station | 4.72 | 58 | £81 per night | https://www.airbnb.com/rooms/example-b | Stay with Daniel | |
| London | Guest suite in Islington | Garden studio with workspace | 4.95 | 203 | €119 per night | https://www.airbnb.com/rooms/example-c | Stay with Maya | Superhost |
airbnb-scraper-by-keyword.csvColumn
Keyword
The keyword label you configure, such as London, cabins, or airbnb rentals.
Column
roomTitle
Property type or room title inferred from page headings and metadata.
Column
roomName
The visible H1 listing name or fallback description.
Column
roomRating
Rating parsed from metadata or visible review text when present.
Column
roomReviewcount
Review count normalized without commas.
Column
roomPrice
Visible nightly price text, if Airbnb returns a valid price for the supplied dates.
Column
roomURL
The current listing URL after navigation.
Column
Host
Host label captured from visible listing copy.
Column
hostType
Superhost when the page text exposes that signal.
Headers included - valid listing pages append under one file
UScraper vs cloud Airbnb scraper tools
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Airbnb keyword template | No-code users who need a local desktop app export to CSV | Best for controlled batches of known listing URLs, not massive scraping infrastructure |
| Hosted Airbnb actors | Teams that want vendor-managed proxies, scheduling, and API delivery | Queries and results pass through a third party and may bill per run or result |
| Custom scraper API | Developers building large pipelines with monitoring and retries | Requires code, maintenance, credentials, and stronger compliance review |
Frequently asked questions
Airbnb listings 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. Use modest batches, avoid bypassing access controls, and get legal review before commercial use.
Before you scale
Practical limits and maintenance notes
Keep these constraints visible
Availability
Airbnb pages can expire or omit fields
Expired rooms, invalid dates, geo-sensitive responses, and booking errors can leave prices or ratings blank. Treat blanks as review signals, not guaranteed zero values.
Pacing
High-frequency runs can trigger friction
Keep batches modest, avoid parallel runs, and stop if Airbnb shows verification or access challenges. Longer waits are usually better than forcing faster loops.
Selectors
Listing layouts change over time
The template uses page text, headings, metadata, and host signals rather than a single card selector, but Airbnb redesigns can still require updates.
Download the free template, install the desktop client from UScraper download, and use this workflow whenever you need to export Airbnb listings 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.
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