Agoda Reviews Scraper: All Reviews, Past the 10K Limit

What does Agoda Reviews Scraper do?

Agoda Reviews Scraper exports the guest reviews of any property on Agoda: score out of 10, title, comment, pros and cons, language, room, nights, stay dates, traveller type, country, photos and the hotel's response. It takes the reviews from every provider Agoda shows on the page (Agoda's own guests and partner sites such as Priceline). Paste property URLs, get one row per review plus one summary row per property.

It works as an Agoda reviews API: plain HTTP requests to the data source Agoda's pages use, no browser, no residential proxy.

All the reviews, past Agoda's two traps

Agoda's review list has two habits that silently cut the results of a naive scraper:

• About one answer in two comes back empty, at random. Agoda's own website retries in the background. A scraper that stops at the first empty page stops anywhere. This actor knows from the first page how many reviews to expect and retries each empty page until it gets the reviews.
• The list stops at page 100, that is 10,000 reviews, whatever the sort order. Past that, this actor reads the property again traveller type by traveller type (each slice stays under the limit) and removes duplicates.

Measured on 21 October 2026:

Property	Reviews with a comment on Agoda	Paging up to the limit	This actor
Baiyoke Sky Hotel, Bangkok	11,206	10,000 at most	11,166
The Peninsula Hong Kong	691 (two providers)		652

The small gap left is reviews that Agoda counts but does not send back.

Why use Agoda Reviews Scraper?

• Reputation monitoring for hotels in Asia, where Agoda is the reference: schedule it in New reviews only mode and get only the reviews published since the last run, with a webhook to Slack, Make, Zapier or n8n.
• Competitor research: read what guests praise and criticize at the properties around yours.
• Market studies on guest origin: country, traveller type and room per review.
• Sentiment analysis and LLM pipelines: text, pros and cons in separate columns, language code and score.

Apify adds scheduling, an API for every run, integrations with Google Sheets, Slack, Zapier and Make, and exports to JSON, CSV and Excel.

What data can Agoda Reviews Scraper extract?

Field	Example	Description
rating	9.6	Guest score, out of 10
title, text	Exceptional, Great view from the 70th floor...	Review title and comment
positiveText, negativeText	Location	Pros and cons, when the guest filled them
language	en	Language of the review
publishedAt	2026-10-20T05:11:31Z	Review date
checkinDate, checkoutDate, stayDate, nights	2026-07-02, 2026-07, 3	The stay
travelerType, roomType	Couple, Deluxe Room	Who travelled, which room
reviewerName, reviewerLocation, reviewerCountryCode	Mei, Hong Kong SAR, China, HK	As Agoda shows them
ownerResponse, ownerResponseDate, ownerResponderRole	Dear guest, thank you...	The hotel's response
photos	["https://pix6.agoda.net/..."]	Guest photos
provider	Agoda, Priceline.com	Where the review comes from

How to scrape Agoda reviews

1. Click Try for free.
2. In Page URLs, paste Agoda property URLs such as https://www.agoda.com/the-peninsula-hong-kong/hotel/hong-kong-hk.html, or numeric hotel ids.
3. Set Max reviews per page URL. 0 collects every review.
4. Optionally keep only the last N days.
5. Click Start, then download the results as JSON, CSV or Excel.

How much will it cost to scrape Agoda reviews?

You pay per result:

• $1.50 per 1,000 reviews on the Apify Free plan, going down with your plan to $0.75 per 1,000 on Gold and above;
• $0.002 per summary row ($0.001 on Gold), which you can turn off;
• $0.005 when the run starts.

The $5 of monthly credit in the Apify Free plan covers about 3,300 reviews. All 11,166 reviews of Baiyoke Sky Hotel cost about $17 on the Free plan and $8.40 on Gold. A daily monitoring run on one property with a few new reviews costs about one cent.

Input

See the Input tab for every option. The ones worth knowing:

• Page URLs: property URLs (locale prefixes such as /fr-fr/ and query strings are fine) or numeric hotel ids.
• Only reviews from the last N days or Only reviews published after: the actor reads newest first and stops once it passes the date.
• Review mode: New reviews only keeps a registry per property and never returns or charges a review twice.
• Webhook URL: receives a JSON summary at the end of each run.

{
    "startUrls": ["https://www.agoda.com/baiyoke-sky-hotel/hotel/bangkok-th.html"],
    "maxReviewsPerPlace": 0,
    "reviewMode": "new-only"
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. A review row:

{
    "type": "review",
    "source": "agoda",
    "placeId": "10637",
    "placeName": "Baiyoke Sky Hotel",
    "reviewId": "1020022148",
    "rating": 10,
    "ratingScale": 10,
    "title": "Exceptional",
    "text": "The view from the room was amazing and the staff very helpful.",
    "language": "en",
    "publishedAt": "2025-08-29T07:26:04Z",
    "checkinDate": "2025-08-24",
    "nights": 3,
    "travelerType": "Group",
    "roomType": "Superior Room",
    "reviewerName": "Priya",
    "reviewerLocation": "India",
    "ownerResponse": "Dear guest, thank you for your lovely review...",
    "provider": "Agoda"
}

The summary row ("type": "place") gives the property name, the Agoda score, the number of ratings, the number of reviews with a comment per provider and how many the run delivered.

Tips

• For monitoring, use New reviews only with a daily or weekly schedule. The first run reads the full history once, the next ones only the recent pages.
• To call it from code, use the API tab or the Apify client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("alexmorain/agoda-reviews-scraper").call(run_input={
    "startUrls": ["https://www.agoda.com/the-peninsula-hong-kong/hotel/hong-kong-hk.html"],
    "maxReviewsPerPlace": 0,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["rating"], row["title"])

FAQ, disclaimers and support

Why is the review count lower than the number on the Agoda page?

The big number on the page counts every rating, most of them without a comment. The actor returns reviews with a comment, which is what Agoda lists. The summary row shows both numbers.

Can I filter by language or score?

Not in this version. Filter the dataset on language or rating after the run; you are only charged for what the run collects, so set Max reviews per page URL or a date window to keep the cost down.

Is it legal to scrape Agoda reviews?

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Something not working, or a field you need? Open an issue in the Issues tab, answers come fast. The same team publishes Tripadvisor Reviews Scraper and Booking.com Reviews Scraper with the same output columns.