Airbnb Market Reviews Scraper

Scrape every Airbnb review in a whole market from a single search URL. This Airbnb market reviews scraper discovers all the listings in the market first, then downloads every review page in parallel — thousands of reviews per minute — so you get a market-wide review corpus in one run instead of orchestrating hundreds of per-listing jobs.

No Airbnb API key, no login, and no headless browser. Results land in a structured dataset you can export to JSON, CSV, Excel, or XML, or pull straight from the Apify API.

What is Airbnb Market Reviews Scraper?

Airbnb Market Reviews Scraper is an Apify Actor that extracts every review from every listing in a market from Airbnb and returns them as clean, structured records. Every review row carries its parent listing's identity, rating, and coordinates, so the output is ready to group by listing, by neighborhood, or by price band without a join step.

What data can this Airbnb market reviews scraper extract?

Every run writes one row per review. The full schema carries 29 fields; the most-used ones are below.

Field	Type	Description
searchQuery	string	searchQuery
searchUrl	string	searchUrl
roomId	string	roomId
listingUrl	string	listingUrl
listingName	string	listingName
listingType	string	listingType
listingRating	number	listingRating
listingReviewCount	integer	listingReviewCount
latitude	number	latitude
longitude	number	longitude
id	string	id
rating	integer	rating
text	string	text
localizedText	string	localizedText
language	string	language
createdAt	string	createdAt
localizedDate	string	localizedDate
response	string	response
reviewHighlight	string	reviewHighlight
highlightType	string	highlightType
photoUrls	array	photoUrls
reviewer	object	reviewer

See the Output tab in Apify Console for all 29 fields.

How to scrape Airbnb reviews across a whole market

1. Open Airbnb Market Reviews Scraper and click Try for free.
2. Paste one Airbnb search URL into startUrls, or give a destination in locationQueries.
3. Bound the crawl with maxListings and maxReviews, plus maxReviewsPerListing for even coverage.
4. Narrow the market with the same filters Airbnb search uses — priceMin, minBedrooms, dates, guests.
5. Use dateFrom and dateTo to restrict to a review window.
6. Click Start and watch rows appear live in the Output tab.
7. Export the dataset as JSON, CSV, Excel, or XML — or fetch it from the Apify API once the run finishes.

Airbnb Market Reviews Scraper input options

Input	Type	What it does	Default
startUrls	array	Paste Airbnb search URLs, e.g. https://www.airbnb.com/s/Asheville--North-Carolina--United-States/homes. Any filters...	see schema
locationQueries	array	Simpler alternative to URLs — list destinations like "Austin, Texas" or "Lisbon, Portugal". Each becomes its own...
maxReviews	integer	Hard cap on reviews across the whole run — your main cost control. A mid-size market holds 20,000–40,000 reviews, so...	1000
maxListings	integer	How many listings from the search to pull reviews from. Airbnb pages through at most ~270 listings per search; to...	100
maxReviewsPerListing	integer	Optional per-listing cap. Leave empty for every review. Useful for an even sample across a market instead of a few...
reviewsSort	string	Order Airbnb returns reviews in. Keep Most recent when using the date filter.	"MOST_RECENT"
dateFrom	string	Only keep reviews on or after this date (YYYY-MM-DD). Note: filtering makes the run slower and less predictable,...
dateTo	string	Only keep reviews on or before this date (YYYY-MM-DD).
checkIn	string	YYYY-MM-DD, today or later. Narrows the market to listings available for these dates. Past or contradictory date...
checkOut	string	YYYY-MM-DD, after check-in.
adults	integer	Guest count the listings must accommodate.
children	integer	Children (ages 2-12).
infants	integer	Infants (under 2).
pets	integer	Pets travelling along.
priceMin	integer	Lower bound in the selected currency. Handy for splitting a market that exceeds Airbnb's ~270-listing paging cap.
priceMax	integer	Upper bound in the selected currency.

Proxy is configured through the standard proxyConfiguration object; the defaults shipped with this Actor are already tuned for the target site.

Example output

{
  "startUrls": [
    { "url": "https://www.airbnb.com/s/Asheville--North-Carolina--United-States/homes" }
  ],
  "maxListings": 100,
  "maxReviews": 20000,
  "dateFrom": "2024-01-01"
}

How much does it cost to scrape Airbnb?

This Actor runs on pay per result pricing: $0.0019 per review ($1.9 per 1,000).

Results	Approximate cost
1,000	$1.90
10,000	$19.00
100,000	$190.00

You pay for rows you actually receive, so a search that returns nothing costs nothing beyond the start fee. Every Apify account includes free monthly usage credit, so you can trial Airbnb Market Reviews Scraper at no cost.

What can you build with Airbnb data?

Find what guests in a market complain about most

A market-wide review corpus surfaces the recurring complaints — parking, noise, check-in friction — that a single-listing pull can never reveal.

Build a demand proxy for a whole market

Review counts and timestamps aggregated across every listing give the closest public approximation of booking volume and its seasonality.

Research amenity gaps before you buy or renovate

Cluster positive mentions across the market to see which amenities guests actually reward in that specific area.

Train or evaluate an NLP model on real guest writing

Thousands of reviews with ratings, languages, and listing context attached make a strong labelled dataset.

Benchmark your listing's sentiment against local supply

Score your own reviews against the market distribution rather than against an absolute five-star ideal.

Airbnb scraping tips and limits

• This Actor can produce very large datasets quickly. Always set maxReviews on a first run so you learn the market's size before committing budget.
• maxReviewsPerListing keeps a handful of heavily-reviewed listings from dominating the corpus — important if you plan to compute market averages.
• For a single listing, Airbnb Reviews Scraper is cheaper and more direct. Use this one when you want the whole market.
• Use a search URL you have already filtered in the Airbnb UI — every filter in the URL is respected during discovery.

Integrations and automation

Run Airbnb Market Reviews Scraper on a schedule to keep a Airbnb dataset fresh, or trigger it from your own stack through the Apify API and the official JavaScript and Python clients. Native integrations push results into Google Sheets, Slack, Airtable, Zapier, Make, GitHub, or any webhook endpoint. The Actor also works as an MCP tool, so an AI agent can call it directly.

Related scrapers

Actor	What it does
Airbnb Reviews Scraper	Single-listing reviews, cheaper per review.
Airbnb Market Occupancy Scraper	Supply-side occupancy for the same market.
Airbnb Search Scraper	The listing census on its own.
Airbnb Listing Details Scraper	Full property detail per listing.

Frequently asked questions

How does it find the listings?

It runs the Airbnb search you supply, paginates the results to collect listing IDs, then fetches reviews for each discovered listing in parallel. listingsFound reports how many it located.

How many reviews can it pull per minute?

Review fetching is heavily parallelised, so throughput is typically in the thousands per minute and is bounded mostly by your maxConcurrency setting and proxy pool rather than by the Actor itself.

Do I need a Airbnb API key?

No. Airbnb Market Reviews Scraper reads publicly available Airbnb pages and endpoints directly, so there is no key to obtain, no OAuth app to register, and no account to connect.

Can I export Airbnb data to CSV, Excel, or Google Sheets?

Yes. Every run stores results in an Apify dataset that exports to JSON, JSONL, CSV, Excel, XML, or HTML with one click, and the Google Sheets integration writes rows straight into a spreadsheet.

Can I run Airbnb Market Reviews Scraper on a schedule?

Yes. Apify schedules run the Actor hourly, daily, weekly, or on any cron expression, and webhooks can notify your systems the moment a run finishes.

Is it legal to scrape Airbnb?

Scraping publicly available data is broadly lawful in the US and EU, but the answer depends on what you collect and how you use it. This Actor is built to gather public review content Airbnb displays publicly, which includes reviewer first names and photos — treat those as personal data. Personal data carries extra obligations under GDPR and CCPA. Read Apify's guide on whether web scraping is legal and take your own legal advice for your use case.

Support and feedback

Found a bug, a missing field, or a Airbnb page shape this Actor does not handle yet? Open an issue from the Issues tab on the Actor page. Feature requests and custom-scraper enquiries are welcome there too.