Agoda Reviews Scraper
Pricing
from $3.50 / 1,000 results
Agoda Reviews Scraper
[💰$3.5/1k] Extract Agoda hotel reviews with traveler type, language & rating filters. Sort by most recent, highest/lowest rated, or most helpful. Perfect for hotel reputation monitoring, competitor analysis, and sentiment analysis.
Pricing
from $3.50 / 1,000 results
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0.0
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Developer
Epic Scrapers
Maintained by CommunityActor stats
1
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2
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1
Monthly active users
3 days ago
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Agoda Reviews Scraper ⭐
Pull structured hotel reviews from Agoda.com — ratings, guest demographics, stay details, management responses, and aggregate scores — for any property on earth. No login. No API key. No partnership agreement.
Single hotel or a batch of 50 competitors: drop in hotel IDs or URLs and get clean, export-ready data in minutes.
Why This Scraper?
Agoda's official partner API requires a commercial relationship most teams don't have. This actor gives you the same structured review data — on demand, pay-per-result, no contract — via Apify's platform.
What sets it apart from every other Agoda scraper on Apify:
| Feature | This Scraper ⭐ | Others |
|---|---|---|
| Traveler type filter (Solo, Couples, Families, Business…) | ✅ Unique | ❌ |
| Sort by Most Helpful | ✅ | Partial |
| Provider filter (Agoda / Booking.com / All) | ✅ | Partial |
| Batch hotel IDs + URLs in one run | ✅ | Partial |
| URL auto-resolution (no manual ID lookup) | ✅ | Partial |
| Cumulative aggregate scores per row | ✅ | Partial |
| Rate limit control | ✅ | ❌ |
| Hotel metadata on every row | ✅ | Partial |
| 30+ structured fields | ✅ | ✅ |
What You Can Do With It
Monitor your reputation at scale. Sort by Most Recent and schedule a daily run to catch every new review across your entire portfolio. The hotelResponse field tells you instantly which reviews have gone unanswered — a proven driver of review score decline.
Benchmark competitors in one run. Drop 10–20 rival hotel IDs into hotelIds, enable includeCumulative, and export a single flat CSV. Every row carries the hotel name, star rating, and per-category scores (Cleanliness, Location, Service, Value for Money) — ready to pivot in any BI tool.
Understand your guests, not just your scores. The traveler type filter — exclusive to this scraper — lets you isolate reviews from Business travelers, Couples, Solo travelers, Families, or Groups. A hotel that delights Couples but frustrates Families tells a very different story than its aggregate score suggests.
Build multilingual sentiment datasets. Every review includes both the translated text (reviewComments) and the original language version (originalComment). Pair that with numeric ratings and Agoda's own structured Positives/Negatives split — no NLP pipeline needed to get labeled training data.
Source fresh review content for travel apps. Each row includes hotelName, mainImageUrl, and starRating — everything you need to render a review card without additional API calls. Use formattedReviewDate to deduplicate on incremental syncs.
Data Fields (30+ per review)
Review Content
| Field | Description | Example |
|---|---|---|
reviewTitle | Headline written by the guest | "Above average" |
reviewComments | Full review body | "The room was the smallest I've ever..." |
reviewPositives | Guest's own structured likes | "Clean rooms, great location" |
reviewNegatives | Guest's own structured dislikes | "Wifi was unreliable" |
originalTitle / originalComment | Pre-translation text | "평균 이상" |
formattedRating | Numeric score | "5.2" |
formattedReviewDate | Publication date | "Jun 18, 2026" |
Stay Details
| Field | Description | Example |
|---|---|---|
checkInDate / checkOutDate | DD-MM-YYYY | "18-06-2026" |
lengthOfStay | Nights stayed | 1 |
checkInMonth | Month + year | "June 2026" |
Reviewer Profile
| Field | Description | Example |
|---|---|---|
reviewerInfo.countryName | Guest's country | "United Kingdom" |
reviewerInfo.displayMemberName | Display name | "Mark" |
reviewerInfo.reviewGroupName | Traveler type | "Solo traveler" |
reviewerInfo.roomTypeName | Room booked | "Small Double Room with Window" |
Management Response
| Field | Description |
|---|---|
hotelResponse | Full reply text (null if unanswered) |
hotelResponseDate | Date of response |
Hotel Metadata (on every row)
| Field | Description |
|---|---|
hotelId / hotelName | Agoda property ID and name |
starRating | 1–5 stars |
mainImageUrl | Primary hotel image |
Cumulative Scores (optional, includeCumulative: true)
Overall score, total review count, and per-category breakdowns: Cleanliness, Facilities, Location, Room Comfort, Service, Value for Money, Food & Dining — plus demographic review counts by traveler type.
Input
| Parameter | Default | Description |
|---|---|---|
hotelIds | — | Numeric Agoda hotel IDs |
hotelUrls | — | Full Agoda hotel page URLs (auto-resolved) |
hotelId / hotelUrl | — | Single-hotel convenience fields |
maxReviews | 50 | Up to 10,000 per hotel |
sort | "1" | "1" Most recent · "7" Most helpful · "2" Highest · "3" Lowest |
demographic | "0" | "0" All · "1" Business · "2" Couples · "3" Solo · "4" Families (young) · "5" Families (teens) · "6" Groups |
provider | "-1" | "-1" All · "332" Agoda · "3038" Booking.com |
includeCumulative | false | Embed aggregate scores + category breakdowns on every row |
rateLimit | 500 | MS delay between requests (100–10,000) |
Example Input
{"hotelIds": ["301503", "10715"],"maxReviews": 100,"sort": "1","demographic": "0","provider": "-1","includeCumulative": true,"rateLimit": 500}
Export Formats
JSON · CSV · Excel · XML · HTML Table · RSS — via the Apify dataset tab or API.
FAQ
Do I need an Agoda account or API key? No. This scraper works with publicly available data. No login, no credentials, no partner agreement.
How many reviews can I pull per hotel? Up to 10,000 per run. If the hotel has fewer, you'll get everything available.
How do I find a hotel's ID?
You don't have to. Paste the full Agoda URL into hotelUrls and the scraper extracts the ID automatically.
What regions and property types are covered? Any property on Agoda.com — hotels, resorts, apartments, hostels, villas, homestays. Coverage is especially strong across Asia-Pacific and growing globally.
How fresh is the data?
Fully live — no cache. Use sort: "1" (Most Recent) and Apify Scheduler for ongoing monitoring.
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Disclaimer: This actor is not affiliated with, endorsed by, or sponsored by Agoda.com or Booking Holdings. It accesses only publicly available data. You are responsible for ensuring your use complies with Agoda's Terms of Service and applicable laws.