Agoda Reviews Scraper API πŸ’°$1/1k β€” Guest Ratings & Comments avatar

Agoda Reviews Scraper API πŸ’°$1/1k β€” Guest Ratings & Comments

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Agoda Reviews Scraper API πŸ’°$1/1k β€” Guest Ratings & Comments

Agoda Reviews Scraper API πŸ’°$1/1k β€” Guest Ratings & Comments

Agoda Reviews Scraper API β€” extract guest reviews from any Agoda hotel by URL or hotel ID. Per review: rating, title, full text, reviewer country, traveler type, room type, stay dates, owner response, photos & translation. Pure HTTP, no browser. $1/1k flat, JSON or CSV.

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from $1.00 / 1,000 results

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Muhamed Didovic

Muhamed Didovic

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Agoda Reviews Scraper API β€” Guest Ratings, Comments & Traveler Profiles

Agoda Reviews Scraper

How It Works

How the Agoda Reviews Scraper works

  1. Your input β€” Agoda hotel-page URLs and/or numeric hotel IDs. The property-id column from the Agoda Hotel Scraper feeds straight in.
  2. Reviews API β€” the Actor resolves each hotel to its numeric ID, then pages Agoda's HotelReviews API (50 reviews per page) and decodes every guest review. Pure HTTP, no browser.
  3. Your dataset β€” one flat row per review: rating, title, full text, liked/disliked, reviewer country & traveler type, room type, stay dates, owner response, helpful votes, photos and translation β€” CSV-ready or JSON.

Scrape guest reviews from any Agoda hotel β€” by URL or hotel ID β€” at $1 per 1,000 reviews. Each review carries its rating and rating label, title, full comment, positive/negative notes, the reviewer's country and traveler type (solo / couple / family / business), room type and length of stay, check-in/out dates, the property's owner response, helpful votes, guest photos, and the original-language text with Agoda's translation. Pure HTTP β€” no browser, no CAPTCHA solver. Output is CSV-ready flat rows or nested JSON, straight into your Apify dataset.

Why Use This Scraper?

  • $1 / 1,000 reviews β€” flat, simple pricing. No opaque per-page math.
  • Pairs with the listings scraper β€” the Agoda Hotel Scraper gives you hotels + prices; this gives you their reviews. Hotel IDs flow from one straight into the other.
  • No browser, no CAPTCHA solver β€” pure HTTP against Agoda's own reviews API. Fast and cheap.
  • Complete review record β€” rating, title, full text, liked/disliked, reviewer country, traveler type, room type, length of stay, check-in/out dates, helpful votes.
  • Owner responses β€” the hotel's reply (responder name + date) when present.
  • Multilingual β€” reviews in any language, plus Agoda's translation into your chosen locale, with the original text preserved.
  • Guest photos β€” review image URLs when the guest attached them.
  • Sortable β€” Most helpful, Most recent, Rating highβ†’low or lowβ†’high.
  • Spreadsheet or JSON β€” flat dashed columns (rating, reviewer-country…) for Excel/Sheets, or nested objects for pipelines.

Overview

This Actor calls Agoda's internal HotelReviews API to harvest every guest review for a hotel. It accepts hotel-page URLs (extracting the numeric hotel ID from the page) or the numeric IDs directly, then paginates the full review set in the order you choose.

Output is one row per review. Each row carries the review (rating, title, text, positives/negatives), the reviewer (country, traveler type, room type, length of stay), timing (check-in/out + review date), engagement (helpful votes), the owner response, photos, and the parent hotel's name + overall score for context.

Supported Inputs

InputWhat it does
HotelshotelUrls β€” a list of Agoda hotel-page URLs (e.g. https://www.agoda.com/akara-hotel-bangkok/hotel/bangkok-th.html) and/or numeric hotel IDs (e.g. 3552260). Mix freely.
VolumemaxReviews β€” how many reviews to collect per hotel (0 = all).
Sortsort: Most helpful Β· Most recent Β· Rating: high to low Β· Rating: low to high.
Languagelanguage (locale, e.g. en-gb) β€” review text language + translation target.

Not supported: writing/posting reviews, private reviewer contact details, reviews behind a login. This Actor returns publicly visible hotel reviews.

Use Cases

AudienceWhat they do with it
Hotels & hospitalityMonitor your own and competitors' guest sentiment over time.
Reputation managementTrack new reviews, owner-response coverage, and rating trends.
Travel aggregators / OTAsEnrich hotel listings with guest reviews and review counts.
Data & ML / NLP teamsBuild sentiment / aspect datasets from real multilingual review text.
Market researchCompare traveler-type mix and satisfaction across properties or cities.
Revenue teamsCorrelate review trends with pricing and occupancy.

Input Configuration

FieldTypeRequiredNotes
hotelUrlsarrayβ€”Agoda hotel-page URLs and/or numeric hotel IDs. Defaults to one example hotel.
maxReviewsintegerβ€”Max reviews per hotel. 0 = all. Default 100.
sortenumβ€”Most helpful (default) Β· Most recent Β· Rating: high to low Β· Rating: low to high.
languagestringβ€”Locale for review text + translation, e.g. en-gb, en-us, de-de. Default en-gb.
proxyobjectβ€”Residential proxy, on by default.

Everything is optional β€” run it with no input at all and it scrapes the reviews of one example hotel. Paste your own hotel URLs or IDs for a real run.

Example input

{
"hotelUrls": [
"https://www.agoda.com/akara-hotel-bangkok/hotel/bangkok-th.html",
"3552260"
],
"maxReviews": 200,
"sort": "Most recent",
"language": "en-gb"
}

Output Overview

One row per review, in the order set by sort. Each row carries the review itself, the reviewer's profile, the stay details, the owner response (if any), and the parent hotel's name + overall score for context.

Output Samples

Real smoke-test row (Akara Hotel Bangkok):

{
"index": 0,
"hotel-id": 3552260,
"hotel-name": "Akara Hotel Bangkok",
"hotel-overall-score": 8.6,
"hotel-score-text": "Excellent",
"hotel-total-reviews": 4366,
"review-id": 1126874501,
"provider": "Agoda",
"rating": 8.4,
"rating-text": "Excellent",
"title": "Little far from Sukhumvit",
"text": "The hotel is a little far from Sukhumvit. If I were to stay in this area again, I'd probably choose a hotel directly on Sukhumvit Road. Staff were lovely though.",
"positives": "",
"negatives": "",
"reviewer-name": "Gaurav",
"reviewer-country": "Australia",
"reviewer-country-code": "au",
"traveler-type": "Solo traveler",
"room-type": "Akara Deluxe King",
"length-of-stay-nights": 4,
"expert-reviewer": false,
"check-in-date": "2026-05-27",
"check-out-date": "2026-05-31",
"review-date": "2026-06-09",
"helpful-votes": 0,
"unhelpful-votes": 0,
"language": "en",
"has-owner-response": false,
"responder-name": null,
"response-date": null,
"images": [],
"review-url": "https://www.agoda.com/en-gb/akara-hotel-bangkok/reviews/bangkok-th.html"
}

Key Output Fields

The review

  • review-id β€” Agoda's unique review id
  • provider β€” review source (e.g. Agoda, Booking.com)
  • rating, rating-text (e.g. 8.4 / "Excellent")
  • title, text β€” headline + full comment
  • positives, negatives β€” liked / disliked notes when present
  • images β€” guest photo URLs

The reviewer

  • reviewer-name, reviewer-country, reviewer-country-code
  • traveler-type β€” Solo / Couple / Family / Business…
  • room-type, length-of-stay-nights, expert-reviewer

Timing & engagement

  • check-in-date, check-out-date, review-date
  • helpful-votes, unhelpful-votes

Owner response

  • has-owner-response, responder-name, response-date

Translation

  • language β€” the review's original language
  • original-title, original-text β€” original-language text when the row is translated

Hotel context (repeated on every row)

  • hotel-id, hotel-name, hotel-overall-score, hotel-score-text, hotel-total-reviews, review-url

FAQ

Is this an official Agoda API? No. It's an independent scraper that reads publicly visible Agoda hotel reviews. Not affiliated with or endorsed by Agoda.

What do I put in as input? Agoda hotel-page URLs and/or numeric hotel IDs. The easiest workflow: run the Agoda Hotel Scraper to get hotels for a city, then feed its property-id (or url) column straight into this Actor's hotelUrls.

How many reviews can I get per hotel? All of them β€” set maxReviews: 0. Popular hotels have thousands of text reviews; the Actor pages through the full set (50 per page) in your chosen sort order.

Does it include the review text, or just ratings? Full text β€” title and body β€” plus liked/disliked notes, the reviewer's country and traveler type, room type, stay length, and the hotel's owner response when present. (Some reviews are rating-only because the guest didn't write a comment; those rows still carry the rating + reviewer profile.)

What about non-English reviews? They're included with Agoda's translation into your language locale, and the original-title / original-text fields preserve the source-language text.

Do I need a proxy? A residential proxy is on by default and recommended for reliable collection at volume. Agoda has no CAPTCHA, but datacenter IPs can be throttled. Responses are small, so bandwidth cost is minimal.

Support

Found a bug or need a field that isn't exposed? Open an issue on the Actor's Issues tab on Apify, or reach out via the Apify Store profile. Include your input JSON and the run ID.

Additional Services

Need a custom hotel or travel data pipeline β€” a different source, a bespoke schema, scheduled delivery to S3/BigQuery, or review monitoring with alerts? Custom scraping and data-engineering work is available via the Apify Store profile.

Explore More Scrapers

  • Agoda Hotel Scraper β€” memo23/agoda-scraper β€” hotel listings + live prices, ratings, amenities & photos by destination. Pairs with this reviews scraper.
  • Google Flights Scraper β€” memo23/google-flights-scraper β€” fares, segments, multi-city & booking options.
  • Skyscanner Flight Scraper β€” memo23/skyscanner-scraper β€” 180+ fields per itinerary, OTA aggregation.
  • 140+ other scrapers β€” see the developer's Apify Store profile.

⚠️ Disclaimer

This Actor accesses publicly visible hotel-review data on Agoda for legitimate research, market-intelligence and business-analysis purposes. It is not affiliated with, endorsed by, or sponsored by Agoda Company Pte. Ltd. "Agoda" is a trademark of its respective owner; it is used here only to describe the data source. Use of this Actor must comply with Agoda's Terms of Service and all applicable laws, including data-protection regulations (GDPR, CCPA, etc.). The Actor's authors are not responsible for any misuse. Users must:

  • Respect rate limits and avoid overloading Agoda's infrastructure
  • Not use scraped data to violate user privacy or terms
  • Use the data in compliance with applicable jurisdictions
  • Not republish scraped content in violation of copyright

We do not store any scraped data; the Actor returns it directly to your Apify dataset for your authorized use.

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