Agoda Hotel Scraper

Agoda Hotel Scraper

Agoda Hotel Scraper extracts hotel details, live room prices, ratings and guest reviews from Agoda by hotel name, property URL or hotel ID.

Get date-specific room offers with prices before and after taxes, category scores, up to 50 review comments per hotel, amenities, room details, nearby places and every photo URL in one structured record per hotel.

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

Use the Apify Actor parsebird/agoda-hotel-scraper to get Agoda hotel data. Call it with ApifyClient: client.actor("parsebird/agoda-hotel-scraper").call(run_input={"hotelIds": [10715, 10571], "checkIn": "2027-03-15", "lengthOfStay": 1, "adults": 2, "rooms": 1, "includeReviews": true, "reviewsPerHotel": 10}). Inputs (at least one of the first three is required): hotelIds (array of positive integers), propertyUrls (array of Agoda hotel URLs), searchTerms (array of specific hotel names), checkIn (string YYYY-MM-DD, empty = no prices), lengthOfStay (integer 1-30, default 1), adults (integer 1-20, default 2), rooms (integer 1-10, default 1), includeReviews (boolean, default false), reviewsPerHotel (integer 1-50, default 10), maxItems (integer 0-100000, default 0 = no limit), requestDelay (number 0-60 seconds, default 1.5), proxyConfiguration (object, optional). Each dataset item is one hotel with hotel_id, hotel_name, accommodation_type, address, city, country, lat, lng, star_rating, review_score, review_count, category_scores, score_distribution, price (cheapest room per room per night as listed by Agoda before tax, USD), price_with_taxes (same offer, all charges included), currency, rooms_available, offer_count, room_offers, check_in, length_of_stay, room_types, rooms, amenities, amenity_groups, highlights, nearby_attractions, nearby_essentials, check_in_time, check_out_time, description, image_url, image_count, all_images, property_url, reviews, parse_confidence, warnings, scraped_at. API docs: https://apify.com/parsebird/agoda-hotel-scraper/api. Get a token at https://console.apify.com/account/integrations.

What is Agoda Hotel Scraper?

Agoda Hotel Scraper is an Agoda API alternative that turns public Agoda hotel pages into clean, structured data. Give it hotel IDs, Agoda URLs or hotel names and it returns one detailed record per hotel, with live room prices for the dates you choose.

The easiest way to try it is to open the Input tab, keep the prefilled hotel IDs and press Start. No Agoda account or API key is needed.

What can Agoda Hotel Scraper do?

• 🏨 Three ways to pick hotels: numeric hotel IDs, property URLs or hotel names, on their own or combined. Duplicates are removed automatically.
• 💰 Live pricing for your dates: set check-in, nights, adults and rooms to get every sellable room offer.
• ⭐ Guest reviews: overall score, category scores, score distribution and up to 50 individual review comments per hotel.
• 🧭 Complete hotel profiles: rooms, amenities by group, nearby landmarks and transport, check-in times, description and all photo URLs.
• 🔎 Built-in quality signals: every record has a parse_confidence score and a warnings list, so you can spot incomplete data.

As an Apify Actor, it also comes with:

• Scheduling to track hotel prices daily or weekly
• API access from any language
• Integrations with Zapier, Make, Google Sheets, Slack and more
• Export to JSON, CSV, Excel or HTML
• Automatic proxy handling, with no proxy setup needed

What data can you extract from Agoda?

Group	Fields	Description
Identity	hotel_id, hotel_name, former_name, accommodation_type	Agoda ID, name and property type
Location	address, city, country, area_name, postal_code, location_highlight, lat, lng	Full address and coordinates
Ratings	star_rating, review_score, review_count, review_text, category_scores, score_distribution, awards	Stars, guest score and score breakdowns
Pricing	price, price_with_taxes, currency, rooms_available, offer_count, room_offers	Cheapest room per night and every offer
Requested dates	check_in, length_of_stay	The dates you asked for
Rooms	room_types, rooms	Room names, beds, size, view, features, photo count and thumbnail
Amenities	amenities, amenity_groups	Flat list and grouped by category
Nearby	highlights, nearby_attractions, nearby_essentials	Landmarks, airports and transport, with distances
Property	check_in_time, check_out_time, description	Stay times and hotel description
Images	image_url, image_count, all_images	Main photo and all photo URLs
Reviews	reviews	Optional comments with rating, title, text, date, traveller type, country, room type and stay length
Run details	property_url, parse_confidence, warnings, scraped_at	Source link, data quality and UTC timestamp

How to scrape Agoda hotels

1. Open Agoda Hotel Scraper and go to the Input tab.
2. Add hotel IDs, property URLs or hotel names. Specific names work best, such as The Peninsula Bangkok.
3. For prices, choose a check-in date, then set nights, adults and rooms.
4. Turn on Include review comments if you want the text of guest reviews.
5. Press Start and wait for the run to finish.
6. Download the results as JSON, CSV or Excel, or read them through the API.
7. To monitor prices, add the run to a Schedule. Daily is a good starting point.

How much does it cost to scrape Agoda?

Agoda Hotel Scraper uses pay-per-event pricing. Compute and proxy costs are included in the event price.

Event	Free	Bronze	Silver	Gold
Hotel saved (hotel-scraped)	$0.00499	$0.00449	$0.00399	$0.00349
Per 1,000 hotels	$4.99	$4.49	$3.99	$3.49
Run start (apify-actor-start), per GB of memory	$0.005	$0.005	$0.005	$0.005

You pay for each hotel saved to the dataset. Live pricing and review comments cost nothing extra, and a hotel that can't be retrieved isn't charged. For example, 1,000 hotels on the Free plan cost $4.99 plus the run start fee. Runs stop on their own when they reach your spending limit.

Input parameters

Fill in at least one of hotelIds, propertyUrls or searchTerms.

Parameter	Type	Required	Default	Description
hotelIds	array of integers	No*	—	Positive numeric Agoda hotel IDs
propertyUrls	array of strings	No*	—	Agoda hotel page URLs
searchTerms	array of strings	No*	—	Specific hotel names, matched through Agoda's search suggestions
checkIn	string	No	—	Check-in date in YYYY-MM-DD. Without it, no prices are returned
lengthOfStay	integer	No	1	Nights, 1 to 30
adults	integer	No	2	Adult guests, 1 to 20
rooms	integer	No	1	Rooms, 1 to 10
includeReviews	boolean	No	false	Add individual review comments
reviewsPerHotel	integer	No	10	Maximum comments per hotel, 1 to 50
maxItems	integer	No	0	Maximum hotels to save, up to 100,000. 0 means no limit
requestDelay	number	No	1.5	Seconds between hotels, 0 to 60
proxyConfiguration	object	No	automatic	Optional custom proxy settings

Example input:

{
  "hotelIds": [10715, 10571],
  "checkIn": "2027-03-15",
  "lengthOfStay": 1,
  "adults": 2,
  "rooms": 1,
  "includeReviews": true,
  "reviewsPerHotel": 10,
  "maxItems": 2
}

Output example

Each hotel is one dataset item. You can download the dataset in JSON, HTML, CSV or Excel. This shortened example comes from a real run; long lists are cut to one item.

{
  "hotel_id": 10715,
  "hotel_name": "The Peninsula Bangkok",
  "accommodation_type": "Hotel",
  "address": "Siam Chaophraya Holdings, 333 Charoennakorn Road, Bangkok Riverside, Bangkok, Thailand, 10600",
  "city": "Bangkok",
  "country": "Thailand",
  "lat": 13.7230730056763,
  "lng": 100.510955810547,
  "star_rating": 5.0,
  "review_score": 9.2,
  "review_count": 5331,
  "review_text": "Exceptional",
  "category_scores": { "cleanliness": 9.6, "facilities": 9.4, "location": 9.0, "roomComfort": 9.3, "staffPerformance": 9.5, "valueForMoney": 9.0 },
  "score_distribution": { "exceptional": 2082, "excellent": 406, "very_good": 91, "good": 60, "below_expectation": 60 },
  "price": 834.39,
  "price_with_taxes": 982.08,
  "currency": "USD",
  "rooms_available": true,
  "offer_count": 11,
  "room_offers": [
    {
      "room_id": 7619240,
      "name": "Deluxe Twin Room",
      "price": 834.39,
      "price_with_taxes": 982.08,
      "price_before_discount": 1025.82,
      "discount_percent": 19,
      "currency": "USD",
      "free_cancellation": true,
      "cancellation": "Cancel for free before November 28, 2026",
      "max_occupancy": 3,
      "rooms_left": 10,
      "benefits": ["Cancel for free before November 28, 2026", "Pay to hotel"],
      "supplier": "Agoda.com"
    }
  ],
  "check_in": "2026-12-28",
  "length_of_stay": 1,
  "rooms": [
    {
      "room_id": 7619240,
      "name": "Deluxe Twin Room",
      "bed": "2 single beds",
      "size": "Room size: 45 m²/484 ft²",
      "view": "Sea view",
      "features": ["Room size: 45 m²/484 ft²", "Sea view", "2 single beds"],
      "image_count": 15
    }
  ],
  "nearby_essentials": [
    { "category": "Airports", "name": "Don Mueang International Airport (DMK)", "distance_km": 23.43, "distance_text": "23.43 km" }
  ],
  "check_in_time": "02:00 PM",
  "check_out_time": "12:00 PM",
  "image_count": 87,
  "property_url": "https://www.agoda.com/the-peninsula-bangkok/hotel/bangkok-th.html",
  "reviews": [
    {
      "review_id": 1201251052,
      "rating": 10.0,
      "title": "Excellent",
      "check_in_month": "October 2026",
      "review_date": "2026-10-30T09:37:26+07:00",
      "reviewer_type": "Couple",
      "reviewer_country": "United Kingdom",
      "room_type": "Deluxe Room",
      "stay_length": 3
    }
  ],
  "parse_confidence": 1.0,
  "warnings": []
}

Use the Agoda API alternative in Python and JavaScript

Get your token on the Integrations page. See the Apify API docs for more.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("parsebird/agoda-hotel-scraper").call(run_input={
    "searchTerms": ["The Peninsula Bangkok"],
    "checkIn": "2027-03-15",
    "lengthOfStay": 2,
    "adults": 2,
    "rooms": 1,
})

for hotel in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(hotel["hotel_name"], hotel["price"], hotel["currency"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('parsebird/agoda-hotel-scraper').call({
    hotelIds: [10715, 10571],
    includeReviews: true,
    reviewsPerHotel: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((hotel) => console.log(hotel.hotel_name, hotel.review_score));

Use cases

• Hotel price monitoring: schedule runs for the same dates and watch how rates change.
• Competitor rate tracking: compare your property with nearby hotels on price, score and availability.
• Travel apps and comparison sites: feed hotel profiles, rooms, photos and amenities into your product.
• Review analysis: study what guests praise or complain about, by traveller type and country.
• Market research: compare star ratings, scores and pricing across hotels and cities.

How it works

1. The Actor turns your hotel names and URLs into Agoda hotel IDs and removes duplicates.
2. It requests each hotel's public data in English, with prices in USD.
3. If you set a check-in date, it requests the room offers for your dates and confirms that Agoda answered for those exact dates.
4. It optionally adds review comments, scores the record's completeness and saves it to the dataset.

Is it legal to scrape Agoda?

This Actor collects only publicly available hotel information and requires no login. Web scraping of public data is generally legal, but results may include personal data protected by regulations such as the GDPR, and Agoda's terms of service may apply to your use. Review comments can contain text written by individuals, so collect and use them only for a legitimate reason. If you're unsure, ask your lawyer. You can read more in Apify's post on the legality of web scraping.

Other travel scrapers from ParseBird

• Hotels.com Scraper
• Airbnb Scraper & API
• Expedia Reviews Scraper
• HolidayCheck.de Hotels Scraper
• HRS Hotel Reviews Scraper
• GetYourGuide Tours & Activities Scraper

FAQ

Does Agoda have a public API? Agoda offers an affiliate program, but this Actor needs no Agoda partner account or API key. Use it as an Agoda API alternative through the Apify API.

What does the price field mean? It's the cheapest room offer per room, per night, as Agoda lists it before tax. Agoda decides which charges count as tax by the visitor's location, so a service charge can be in or out of this number. price_with_taxes is the same offer with everything included and didn't change with location in our tests, so use it to compare hotels. All prices are in USD.

Why are the prices empty? Prices need a valid checkIn. Without one, or with a past date, you get hotel details only. Agoda also doesn't sell dates too far ahead, so the Actor leaves prices empty and explains why in warnings rather than returning prices for other dates. If rooms_available is false, Agoda had no offers for that hotel and stay.

Why does the rooms list change when I add a date? With a date, it lists only the room types Agoda can sell for that stay. Without a date, or when nothing is available, it lists the hotel's rooms in general.

Can I scrape every hotel in a city? Not with search terms alone. Agoda's suggestions focus on named hotels, and a broad term like Bangkok usually returns regions, so it finds few or no hotels. Provide property URLs or hotel IDs for a full list.

Why did a hotel name return several hotels, or none? Names are matched against Agoda's suggestions, keeping only hotels that fit your words. Include the city, as in Mandarin Oriental Tokyo. For an exact hotel, use its URL or ID.

How many review comments can I get? Up to 50 per hotel, in Agoda's default review order. The review_count field always shows the hotel's full total. Agoda has no comment text for some hotels; those records have an empty reviews list and a note in warnings.

What happens when something goes wrong? The key-value store's OUTPUT record summarises each run. emptyReason is NO_MATCH_FOR_INPUT when nothing matched, and stoppedEarly is INPUT_PARTIAL or BLOCK_PARTIAL when only some inputs worked. Failed hotels aren't charged.

Can I integrate this with other tools? Yes. You can connect runs to Zapier, Make, Google Sheets, Slack and more, or use webhooks and the API.

Something isn't working or a field is missing. What should I do? Please open a ticket on the Issues tab. We read every report and welcome feature requests.