Airbnb Reviews Scraper — Ratings, Sentiment & Insights

Export every guest review from any Airbnb listing — or an entire city — with full text, ratings, dates, reviewer details, host replies, photos, trip type, and language. Then go further than any other scraper: built-in sentiment, aspect tags, and a per-listing insights rollup (category sub-ratings, rating distribution, top keywords, review velocity, host-response rate). All in clean, stable JSON.

🏠 Part of the Airbnb suite — works alongside the Airbnb Search Scraper, Listing Details Scraper, and Revenue & Occupancy Calculator.

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Why this one — more data, ~20% cheaper

Capability	Typical Airbnb review scrapers	This actor
Review text, rating, date	✅	✅
Reviewer name & photo	✅	✅
Reviewer location	partial	✅ (cleaned)
Reviewer tenure ("4 years on Airbnb")	❌	✅
Host reply + host details	✅	✅
Review photos / media	some	✅
Trip type (group, family, solo…)	❌	✅
Language + localized text	some	✅
Sentiment + score (free, no API key)	rare/opt-in	✅ default
Aspect tags (cleanliness, location…)	❌	✅
Scrape by CITY (no URLs needed)	❌ nobody	✅
Per-listing insights rollup	❌ nobody	✅
↳ category sub-ratings (6)	❌	✅
↳ rating distribution (5★→1★)	❌	✅
↳ sentiment split %	❌	✅
↳ top positive / negative keywords	❌	✅
↳ review velocity & host-response rate	❌	✅
Price per 1,000 reviews (Bronze)	~$4.10 (market leader)	~$3.30

~15 data dimensions vs the usual ~8 — for less money. Reliable by design (residential proxy + Airbnb's own reviews API, paginated).

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Quick start

Pick any one input:

• City — type Austin, TX (we auto-find the top listings and scrape their reviews). No URLs required — unique to this actor.
• Listing URLs — paste https://www.airbnb.com/rooms/<id>.
• Listing IDs — paste numeric IDs.

Then set Max reviews per listing (0 = all), Sort (most recent / relevant / highest / lowest), optional Since date for incremental runs, and Start.

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Input

Field	Type	Description
location	string	City to scrape (auto-finds listings).
listingUrls	array	Airbnb room URLs.
listingIds	array	Numeric listing IDs.
maxListings	integer	City mode: how many listings (default 10).
maxReviewsPerListing	integer	Per listing; 0 = all (default 100).
sortBy	enum	most-recent / most-relevant / highest-rated / lowest-rated.
sinceDate	string	Only reviews on/after YYYY-MM-DD (great for incremental).
locale	enum	Language/region for localized text.
includeInsights	boolean	Add the per-listing rollup (default true, free).
webhookUrl	string	POST results when the run finishes.
proxyConfiguration	object	Residential (US) by default — recommended.

Provide at least one of location, listingUrls, or listingIds.

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Output

Two record types in one dataset (filter on recordType):

review — one per guest review: reviewId, rating, comment, localizedComment, language, date (ISO) + dateFormatted, reviewerName, reviewerLocation, reviewerTenure, reviewerPhotoUrl, hostReply, hostName, tripType, reviewHighlight, highlightedSentences[], media[], sentiment, sentimentScore, aspects[], listingId, listingUrl, scrapedAt.

listing_insights — one per listing (when includeInsights): totalReviewsAvailable, reviewsAnalyzed, avgRating, categoryRatings{cleanliness,accuracy,check-in,communication,location,value}, ratingDistribution{5..1}, sentimentSplitPct{positive,neutral,negative}, topPositiveKeywords[], topNegativeKeywords[], languagesBreakdown, hostResponseRatePct, reviewsPerMonth, firstReviewDate, lastReviewDate.

All fields always present (null/empty when unavailable). Full sample: docs/example-output-reviews.json.

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Run via API

curl -X POST "https://api.apify.com/v2/acts/malikgen~airbnb-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"listingUrls":["https://www.airbnb.com/rooms/12937"],"maxReviewsPerListing":100}'

Works with the Apify clients, n8n, Make, and Zapier. Set webhookUrl to push results into your workflow.

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Pricing

Pay per review (set in Console). Headline ≈ $3.30 / 1,000 reviews (Bronze) — about 20% under the market leader, with more fields. The per-listing insights rollup is included free.

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FAQ

Can I really scrape a whole city? Yes — enter a city and we find the listings and pull their reviews automatically. No other Airbnb reviews scraper does this.

Do I need an API key for sentiment? No. Sentiment, scores, and aspect tags are computed in-actor at no extra cost.

How do incremental runs work? Set sortBy: most-recent + sinceDate — only newer reviews are returned. Pair with webhookUrl for ongoing reputation monitoring.

Why residential proxy? Airbnb is Cloudflare-protected and reviews load via a warmed session. Leave the default proxy on.

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🏠 The Airbnb suite

Actor	Use it for
Airbnb Search Scraper	Find listings by city — price, rating, coordinates, superhost.
Airbnb Listing Details Scraper	Full property detail from URLs — description, amenities, host, photos.
Airbnb Revenue & Occupancy Calculator	Occupancy %, ADR, estimated revenue — the AirDNA alternative.
Airbnb Reviews Scraper (this actor)	Reviews + sentiment + per-listing insights.

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Changelog

• 0.1 — Initial release. City / URL / ID input; paginated StaysPdpReviewsQuery; per-review sentiment + aspects; per-listing insights rollup (category ratings, distribution, sentiment split, keywords, velocity, response rate); reviewer location/tenure split; incremental sinceDate.

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Not affiliated with, endorsed by, or sponsored by Airbnb. Scrapes publicly available review data for legitimate research, sentiment analysis, and reputation monitoring. Respect Airbnb's Terms of Service and applicable laws.