Agoda Hotels Scraper — Prices, Ratings, Addresses & Reviews

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What does Agoda Hotels Scraper do?

Agoda Hotels Scraper returns hotels from Agoda for any city and dates: the nightly price, guest rating and review count, star rating, coordinates and street address of each hotel. For the first hotels it also reads the hotel page: description, facilities, FAQ and the full postal address. Guest reviews are optional and are returned as separate rows.

Type the city the way you would on Agoda, in any language: Chiang Mai, 서울, 東京, Paris. A default run (one Bangkok hotel with its page read) finishes in a few seconds. No Agoda account is needed. It does not invent phone numbers or email addresses; Agoda does not publish them.

Run summary

RUN_SUMMARY names the city that was searched (city.cityId, city.name) and every search engine tried (searchAttempts: engine, outcome, reason, seconds). A destination that is not a city Agoda knows (a misspelling, an area such as "Sukhumvit", a hotel name) ends the run successfully with no rows and emptyReason: LOCATION_UNRESOLVED, and costs only the start event. WORKER_DIAGNOSTICS keeps the full diagnostics, including counts of sponsored and unpriced hotels left out.

What you get

Field	Description
name / hotelId / url	Hotel name, Agoda id and hotel page
price / priceIncludingTaxes / currency	Cheapest room per night for your dates, before and after taxes
rating / reviewCount	Guest rating (0–10) and number of reviews
starRating	Hotel stars (not the guest rating)
address / geo / area	Street, postal code, city, country; coordinates; neighborhood
description / amenities / reviewCategories / faq	Hotel-page attributes for the first enrichLimit hotels. Attribute lists are capped at 50.
rowType / id	Every row is one billed entity: hotel or review, with a stable id.
parentId / parentName / parentUrl / parentLocation	Hotel fields copied onto each review row.
org / leadSource / leadAbsences	Lead shape: the hotel as an organization, where the fields came from, and why a field is empty
checkin / checkout / domain / locale	The search that produced the row
sponsored / scrapedAt	Sponsored placement flag and collection time

Hotel rows never contain a nested reviews list. Set includeReviews: true to add one row per sampled review. It defaults to false, so the default build returns hotel rows only. Hotel and review rows share each input's maxResults budget. Each destination search, city page URL, or hotel page URL can return up to that many rows; larger values are collected in parts of 70, and the whole run stops at your maximum total charge.

Hotels without a bookable price for your dates are left out (and counted in the run summary).

Sites, languages and currencies

www.agoda.com with a locale (en-us, ja-jp, th-th, ko-kr, zh-cn, ...), or a country site: .co.uk, .com.au, .com.sg, .co.th, .com.my, .co.id, .com.vn, .co.jp, .com.tw, .com.hk, .co.kr, .com.cn, .com.br, .com.ar, .com.mx, .in, .ae. The site and language set the currency.

Why scrape Agoda?

• Travel research: hotel inventory with prices and ratings for a city and dates
• Rate monitoring: schedule the same search and compare nightly prices
• Lead generation: hotel names, addresses and coordinates with stable Agoda ids
• Multi-market coverage: one Actor for Agoda's regional sites and currencies

More Actors like this

Looking for another travel / stays scraper, or a specialized Actor outside Agoda? Use a dedicated Actor when one exists — structured fields, better coverage, usually lower cost.

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• Booking.com & Airbnb Scraper
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How to scrape Agoda hotels (step-by-step)

1. Open Agoda Hotels Scraper and click Try for free.
2. Type a city in destination.
3. Optionally set checkin / checkout, guests, rooms and maxResults.
4. Click Start and download the dataset as JSON or CSV.

You can also run it through the Apify API, Scheduler or integrations (Make, Zapier, n8n, webhooks).

How much does it cost?

This Actor uses Pay per event pricing. You are not charged separately for Apify platform usage on this Actor.

Event	Price
Actor Start (apify-actor-start)	$0.005 per start (memory-scaled)
result (apify-default-dataset-item)	$3.00 / 1,000 rows ($0.003 each)

• 100 rows ≈ $0.005 + $0.30 = ~$0.31
• 1,000 rows ≈ $0.005 + $3.00 = ~$3.01

If you set a maximum total charge, the Actor asks only for the hotels it covers. Free Apify-plan users are capped at 10 runs and 200 results for this Actor.

Input

Parameter	Default	Description
destination	Bangkok	City name in any language
checkin / checkout	3 weeks out, 2 nights	YYYY-MM-DD, up to 30 nights
adults / children / rooms	2 / 0 / 1	Guests; searches with children take longer
maxResults	70	Most hotel + review rows for each destination search, city page URL, or hotel page URL (up to 500). Larger values are collected in parts of 70; the whole run stops at your maximum total charge. Free Apify plan: 200 rows per run and 10 runs.
enrichDetails / enrichLimit	true / 1	Read the first hotels' pages
includeReviews	false	Return sampled guest reviews as separate billed rows
includeSponsored	false	Keep sponsored hotels
domain / locale	www.agoda.com / en-us	Site, language and currency
regionId	—	Agoda city id, overrides destination
detailUrls	—	Agoda hotel pages to read directly (no prices)
cityPageUrl	—	A public /city/*.html page: hotel names and links only

Hotels in Chiang Mai for given dates

{
  "destination": "Chiang Mai",
  "checkin": "2026-12-15",
  "checkout": "2026-12-18",
  "adults": 2,
  "maxResults": 20,
  "enrichLimit": 3
}

Hotels in Tokyo, priced in yen

{
  "destination": "東京",
  "locale": "ja-jp",
  "maxResults": 10
}

Specific hotel pages

{
  "detailUrls": ["https://www.agoda.com/asia-hotel-bangkok/hotel/bangkok-th.html"]
}

Output / sample dataset

{
  "rowType": "hotel",
  "id": "5649836",
  "name": "Hotel Crescendo Seoul",
  "hotelId": "5649836",
  "url": "https://www.agoda.com/alcove-hotel-seoul-managed-by-accorhotels-ambassador/hotel/seoul-kr.html",
  "price": 101.25,
  "priceIncludingTaxes": 111.37,
  "currency": "USD",
  "priceBasis": "per_room_per_night_excluding_taxes",
  "rating": 8.1,
  "reviewCount": 5614,
  "starRating": 3.0,
  "area": "Gangnam",
  "address": {"street": "428 Bongeunsa Ro Gangnam Gu", "unit": null, "locality": "Seoul", "region": null, "postalCode": "6153", "country": "South Korea", "full": "428 Bongeunsa Ro Gangnam Gu, Seoul, 6153, South Korea"},
  "geo": {"lat": 37.511051, "lng": 127.046768},
  "description": "...",
  "amenities": ["Free Wi-Fi", "..."],
  "checkin": "2026-11-10",
  "checkout": "2026-11-12",
  "sponsored": false,
  "scrapedAt": "2026-10-08T12:00:00Z"
}

With includeReviews: true, review rows look like:

{
  "rowType": "review",
  "id": "5649836:review:1187182385",
  "reviewId": "1187182385",
  "text": "Clean rooms and a useful location near the station.",
  "parentId": "5649836",
  "parentName": "Hotel Crescendo Seoul",
  "parentUrl": "https://www.agoda.com/...",
  "parentLocation": {"locality": "Seoul", "country": "South Korea"}
}

Tips

• Use the city's own name or its English name; both work.
• Searching a neighborhood? Search its city and filter by area or coordinates.
• Reading hotel pages takes about two seconds each; raise enrichLimit only for the hotels you need in depth.
• Only hotels are covered. Flights, activities and other Agoda products are not.

FAQ

Is it legal to scrape Agoda?

This Actor is unofficial and not affiliated with Agoda. Scraping public pages may be subject to Agoda's terms, applicable laws and your compliance policies. You are responsible for how you use the data.

Do I need an Agoda login or partner API?

No.

Why did my run return no hotels?

RUN_SUMMARY.emptyReason says why: LOCATION_UNRESOLVED means Agoda knows no city by that name; NO_MATCH means Agoda had no hotels for that search. A run that could not reach Agoda fails instead, with the reason in the status message.

Support

Questions or feature requests? Open an issue on the Actor page or contact the developer on Apify.

Related travel scrapers: Expedia Scraper, Trip.com Scraper, TripAdvisor Scraper on the lentic_clockss profile.

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