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Agoda Reviews Scraper

Pricing

from $1.40 / 1,000 reviews

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Agoda Reviews Scraper

Agoda Reviews Scraper

Scrape all reviews of any hotel on Agoda: rating (1-5), text, date, reviewer and reply. Export to JSON, CSV or Excel.

Pricing

from $1.40 / 1,000 reviews

Rating

0.0

(0)

Developer

Carabain Digital

Carabain Digital

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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What is Agoda Reviews Scraper?

Agoda Reviews Scraper extracts all reviews of any hotel on Agoda: star rating, review text, date, reviewer name and the hotel's reply. Paste a Agoda URL, click Start, and download the reviews as JSON, CSV, Excel, XML or HTML.

Agoda is one of Asia's largest online travel agencies, with millions of verified guest reviews of hotels and apartments worldwide. With this scraper you can:

  • ⭐ Scrape every review of a hotel, or only the newest ones
  • 💬 Get the review text and the hotel's reply
  • 📅 Fetch only new reviews since a given date, ideal for daily monitoring
  • 🛡️ Get past blocks: a US residential proxy is included in the price
  • 🔌 Connect the data to Google Sheets, Slack, Make, Zapier or your own app via the API

What data can I extract from Agoda?

⭐ Star rating (1-5)💬 Review text
👤 Reviewer name📅 Publication date
↩️ Reply🆔 Stable review ID
📝 Review title (if any)🔗 Source URL

Why scrape Agoda reviews?

  • 🏨 Hotels and chains: monitor what guests say about your properties
  • 📊 Travel market research: compare hotels in a city or region
  • 🔍 Competitor research: see why guests prefer a competing hotel
  • 🤖 Sentiment analysis and AI: feed real customer feedback into your own analysis or LLM pipeline.

How do I use Agoda Reviews Scraper?

  1. Create a free Apify account.
  2. Open the hotel on Agoda and copy the URL of its hotel page, for example https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html.
  3. Paste it into the Agoda hotel URL field.
  4. Optionally set Max reviews, or Only reviews after to fetch only reviews since a given date.
  5. Click Start and wait for the run to finish.
  6. Download your data from the Output tab in JSON, CSV, Excel, XML or HTML.

How much does scraping Agoda cost?

You pay per review that ends up in your dataset: $2.00 per 1,000 reviews. No subscription, no rental fee. The monthly credits in Apify's free plan cover a couple of thousand reviews.

💡 Tip: for monitoring, schedule a daily run with Only reviews after set to the date of your last run. You only pay for new reviews.

You can set a maximum cost per run in the run options; the scraper stops when it is reached.

⬇️ Input

The only required field is the hotel URL. See the Input tab for all options.

FieldDescription
Agoda hotel URL (url)The hotel page on Agoda
Max reviews (limit)Stop after this many reviews, newest first. Empty = all reviews
Only reviews after (cutoff_date)Skip reviews published before this date
Proxy (proxyConfiguration)US residential proxy, on by default and included in the price. Keep it on: Agoda blocks data-center IPs
{
"url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
"limit": 100,
"cutoff_date": "2026-01-01"
}

⬆️ Output sample

Each review is one item in the dataset. View it as a table in the Output tab or download it in JSON, CSV, Excel, XML or HTML.

📘 Scraped Agoda review sample (illustrative)

{
"id": "123456789",
"author": "Jessica M.",
"rating": 5,
"title": null,
"text": "Great experience from start to finish, would recommend!",
"published_at": "2026-09-14T00:00:00+00:00",
"reply": "Thank you so much, Jessica!",
"replied_at": null,
"source_url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html"
}
FieldDescription
idAgoda's review ID; stable across runs, so you can deduplicate on it
ratingStar rating (1-5), or null if the review has no score
titleReview title, or null when Agoda has none
textReview text
published_atPublication date in ISO 8601 (UTC)
replyThe hotel's public reply, or null
replied_atReply date, or null when Agoda doesn't publish it
source_urlThe Agoda URL you scraped

All our review scrapers use this same format, so you can combine datasets from different sites directly. See for example our Kiyoh Reviews Scraper.

🔌 Integrations

Connect Agoda Reviews Scraper to almost any cloud service or web app with Apify integrations: Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use webhooks to trigger an action when a run finishes, for example to post new reviews to Slack.

💻 Using Agoda Reviews Scraper with the Apify API

The Apify API lets you start runs, schedule them and fetch results from your own code. Use the Python or JavaScript client, or call the scraper from AI agents through the Apify MCP server. The API tab has ready-to-use code.

❓ FAQ

Can I scrape multiple hotels at once?

Run the scraper once per hotel. To monitor several, create a task per hotel and schedule them, or start runs from the API.

Do I need a Agoda account?

No. The scraper only reads publicly visible reviews.

Do I need proxies to scrape Agoda?

Yes, but you don't have to set anything up: a US residential proxy is on by default and its cost is included in the price per review. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

Anything special about Agoda data?

Only Agoda's own guest reviews are returned. Reviews Agoda syndicates from other booking sites are skipped, so you get no duplicates when you also scrape those sites.

My run failed. What now?

Check the status message of the run. "Invalid input" or "not found" means the URL doesn't point to a Agoda hotel page: open it in your browser and copy it again. "Blocked" means Agoda refused the request; run it again, and keep the proxy on.

This scraper only collects publicly visible reviews. Reviews can contain personal data, such as reviewer names, which is protected by the GDPR in the EU and by other regulations elsewhere. Only scrape and store personal data when you have a legitimate reason, and consult your lawyer if you are unsure. Read more in Apify's post on the legality of web scraping.

Your feedback

Found a bug or missing a field? Open an issue in the Issues tab and we'll look into it.