Agoda Hotel Listings Extractor: Scrape Agoda Hotel Prices, Ratings and Reviews

Agoda hotel listings extractor that pulls hotel search results from Agoda for any city and date range. Every record carries the nightly price, star rating, guest review score, review count, GPS coordinates, photos, amenities and nearby landmarks. Give it a city name, an Agoda search URL or a numeric Agoda city ID and it pages through the listings until it hits your limit.

This Agoda scraper talks to the same search API the website uses, so the prices match what a traveller would see for your dates, occupancy and currency. No browser, no rendering, just the JSON behind the page.

Use cases

• Hotel rate shopping: track what competitors charge per night across a city and spot when they discount
• Revenue management: build a nightly rate history for your own property and its comp set
• Travel affiliate sites: fill destination pages with fresh hotel data, review scores and photos
• Market research: measure supply by star rating, neighbourhood and property type before entering a market
• SEO and content teams: generate "best hotels in X" pages backed by real review scores and prices
• Price monitoring: schedule daily runs and alert on rate drops through Apify integrations

Input

Parameter	Type	Default	Description
searchTerms	array	none	City or destination names, one per line. Each name is matched to an Agoda city automatically.
searchUrls	array	none	Agoda search URLs. Dates, guests and rooms are read from the URL when present.
cityIds	array	none	Numeric Agoda city IDs for repeat runs where the ID is already known.
checkIn	string	today + 30 days	Check-in date in YYYY-MM-DD format.
checkOut	string	check-in + nights	Check-out date in YYYY-MM-DD format.
nights	integer	1	Length of stay used when no check-out date is given.
adults	integer	2	Adults per room, which changes the rates Agoda returns.
children	integer	0	Children in the booking.
childAges	array	none	Age of each child, required when the children count is above zero.
rooms	integer	1	Number of rooms to price.
currency	string	USD	Currency for every price field. 20 currencies supported.
language	string	en-gb	Locale for hotel names, area names and review text.
sortBy	string	recommended	Recommended, price low to high, price high to low, guest rating or secret deals.
maxResults	integer	100	Maximum hotels collected per destination, capped at 1000.
minStarRating	integer	0	Keep only properties at or above this star rating.
minReviewScore	integer	0	Keep only properties at or above this guest rating out of 10.
minPricePerNight	integer	0	Lowest nightly rate to include.
maxPricePerNight	integer	0	Highest nightly rate to include. 0 means no ceiling.
accommodationTypeIds	array	none	Agoda accommodation type IDs, for example 34 for Hotel and 29 for Apartment.
facilityIds	array	none	Agoda facility IDs, for example 93 for Swimming pool and 92 for Gym.
includeUnavailable	boolean	true	Keep sold out properties for full market coverage.
includeImages	boolean	true	Collect photo URLs.
maxImages	integer	5	Photos kept per property.
includeReviewSnippets	boolean	false	Add quoted guest reviews and location topics.
includeLandmarks	boolean	true	Add nearby transport, attractions and beaches with distances.
keepEmptyFields	boolean	false	Keep fields Agoda had no value for as nulls instead of leaving them out.
requestTimeoutSecs	integer	60	Timeout for a single request to Agoda.
timeoutSecs	integer	600	Time budget for the whole run.
maxRetries	integer	3	Retries per failed request.
proxyConfiguration	object	Datacenter (Anywhere)	Proxy type and location for requests. Supports Datacenter, Residential, Special and custom proxies. Optional.

Example input

{
    "searchTerms": ["New York", "Bangkok"],
    "checkIn": "2026-09-19",
    "nights": 2,
    "adults": 2,
    "rooms": 1,
    "currency": "USD",
    "sortBy": "guestRating",
    "maxResults": 200,
    "minStarRating": 3,
    "minReviewScore": 8,
    "maxPricePerNight": 400,
    "includeReviewSnippets": true,
    "proxyConfiguration": { "useApifyProxy": true }
}

What data does this actor extract?

Results land in an Apify dataset, one record per hotel. A trimmed example:

{
    "propertyId": 6950509,
    "hotelName": "Pod Times Square",
    "hotelUrl": "https://www.agoda.com/pod-times-square/hotel/new-york-ny-us.html",
    "propertyTypeName": "Hotel",
    "starRating": 3.0,
    "reviewScore": 8.6,
    "reviewCount": 3184,
    "price": 287.28,
    "priceWithTaxes": 362.99,
    "totalPrice": 287.28,
    "currencyCode": "USD",
    "isAvailable": true,
    "freeCancellation": true,
    "payLater": true,
    "roomsLeft": 5,
    "checkInDate": "2026-09-19",
    "checkOutDate": "2026-09-20",
    "countryName": "United States",
    "cityName": "New York (NY)",
    "cityId": 318,
    "areaName": "Times Square",
    "latitude": 40.7584,
    "longitude": -73.9931,
    "distanceFromCityCenterMeters": 0.0,
    "mainImageUrl": "https://pix8.agoda.net/hotelImages/6950509/-1/07ddf14f1f7c52b335a183348996e549.jpg",
    "highlightedFeatures": ["Free Wi-Fi in all rooms!", "Gym/fitness", "Close to public transportation"],
    "roomFacilities": ["Wi-Fi [free]", "Openable window", "Balcony/terrace", "Desk"],
    "cheapestRoomSizeSqm": 11.0,
    "atmospheres": ["shopping", "sightseeing", "nightlife", "restaurants"],
    "nearbyTransport": [{ "name": "42nd Street Subway Station", "distanceMeters": 180.4 }],
    "isSponsored": false,
    "listingRank": 1,
    "searchCityName": "New York (NY)",
    "totalHotelsInSearch": 483,
    "scrapedAt": "2026-08-10T12:44:02.118342+00:00"
}

Field	Type	Description
propertyId	integer	Agoda property ID, stable across runs and useful as a join key
hotelName	string	Property name in the selected language
hotelUrl	string	Direct link to the Agoda property page
propertyTypeName	string	Hotel, Resort, Apartment, Hostel and similar
starRating	number	Star rating from 0 to 5, half stars included
reviewScore	number	Agoda guest review score out of 10
reviewCount	integer	Number of Agoda reviews behind the score
reviewSources	array	Score and review count from every connected review provider
reviewSnippets	array	Quoted guest reviews with reviewer, country, date and rating
locationTopics	array	Review snippets grouped by topic, currently location
price	number	Cheapest nightly rate per room before taxes and fees
priceWithTaxes	number	Cheapest nightly rate per room including taxes and fees
crossedOutPrice	number	Original rate shown struck through before the discount
totalPrice	number	Total stay cost for all rooms and nights before taxes
discountPercent	number	Discount off the crossed out rate
currencyCode	string	Currency of every price field
isAvailable	boolean	Whether rooms are bookable for the searched dates
freeCancellation	boolean	Whether the cheapest rate cancels free of charge
payAtHotel	boolean	Whether payment on arrival is offered
roomsLeft	integer	Rooms remaining at the cheapest rate
countryName	string	Country the property sits in
cityName	string	City name as Agoda labels it
cityId	integer	Agoda city ID, reusable as input for later runs
areaName	string	Neighbourhood or district
latitude	number	Latitude in decimal degrees
longitude	number	Longitude in decimal degrees
distanceFromCityCenterMeters	number	Straight line distance from the city centre
mainImageUrl	string	Primary property photo
imageUrls	array	Additional photo URLs
highlightedFeatures	array	Features Agoda highlights, such as free Wi-Fi
roomFacilities	array	Facilities listed for the cheapest room
atmospheres	array	Neighbourhood tags such as shopping or nightlife
nearbyTransport	array	Stations and stops with distance in metres
nearbyLandmarks	array	Attractions with distance in metres
isSponsored	boolean	Whether the listing is a paid placement
listingRank	integer	Position in the Agoda result list for the chosen sort
totalHotelsInSearch	integer	Total properties Agoda reports for the search
scrapedAt	string	UTC timestamp of collection

The full field list, including sustainability flags and whole-home room counts, is in the dataset schema.

Why some fields are missing from a record

47 fields appear on every hotel. The rest depend on what Agoda knows about that property, so the key is left out rather than written as null. A hotel that is not discounted has no crossedOutPrice or discountPercent, a sold out hotel has no price or roomsLeft but does get soldOutAveragePrice, and bedrooms, bathrooms and beds only turn up on apartments and whole-home stays. Measured over 135 hotels across New York, Bangkok and Dubai:

Field	Present
nearbyTransport, reviewSnippets, bookingsToday, atmospheres	95% to 99%
price, priceWithTaxes, totalPrice, roomsLeft, roomFacilities	90%
nearbyLandmarks, locationTopics	77% to 81%
crossedOutPrice, discountPercent, cheapestRoomSizeSqm	72% to 73%
nearbyBeaches	33%
goldCircleAwardYear	20%
soldOutAveragePrice	8%
bedrooms, bathrooms, beds	under 2%

Set keepEmptyFields to true if you would rather have every field on every record with nulls in the gaps, which is easier to load into a fixed database schema.

How it works

1. Every destination name is matched to an Agoda city ID through Agoda's own destination lookup, so "New York" becomes city 318. Search URLs and raw city IDs skip this step.
2. Your dates, occupancy, currency and filters are turned into an Agoda search request. Star rating, review score, price range, property type and facility filters run on Agoda's side, so filtered runs cost less.
3. The actor pages through results, 45 hotels at a time, until it reaches your maxResults limit or the end of the listings.
4. Each property is flattened into one dataset record with prices, ratings, location, photos and amenities.
5. Failed requests retry with a backoff, and a bad listing is logged and skipped instead of ending the run.

FAQ

How do I scrape hotels for a specific city? Type the city name into Destinations, for example "Bangkok" or "Cox's Bazar". You can also paste an Agoda search URL, and the actor reads the city, dates, guests and rooms straight from it.

Do the prices match what I see on Agoda? Prices come from the same search API the website uses, for the dates, occupancy and currency you set. Rates move constantly, so a run captures the market at that moment. Schedule repeat runs if you need a price history.

How many hotels can one run collect? Up to 1000 per destination, and you can queue several destinations in one run. Large cities like Bangkok list thousands of properties, so set maxResults to what you actually need.

Can I filter by star rating, review score or price? Yes. Star rating, guest score, price range, accommodation type and facilities are all sent to Agoda as search filters, so the actor only downloads properties that already match.

Does this actor need a proxy? It runs without one, but Apify Proxy is recommended for larger jobs. Datacenter proxies are fast and cheap, and Residential proxies help when a datacenter IP gets rate limited.

Why does one record have fewer fields than another? A field is left out when Agoda has no value for it on that property, so a hotel without a discount carries no crossedOutPrice. Turn on keepEmptyFields to get nulls in those slots instead. CSV and Excel exports are unaffected either way, since Apify builds the column list from all records.

Can I get hotel facilities like pool and parking? Room level facilities come through in roomFacilities, and Agoda's own highlights land in highlightedFeatures. The full property amenity list is not part of the search response, it lives on the individual hotel page. You can still filter searches by facility using facilityIds.

Can I get guest reviews too? Turn on Include guest review snippets to add short quoted reviews with the reviewer name, country, date and rating, plus location topic snippets.

Integrations

Connect Agoda Hotel Listings Extractor with other apps and services using Apify integrations. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and many more. You can also use webhooks to trigger actions whenever results are available.

Point the Agoda scraper at a city, set your dates, and you get a clean hotel dataset with prices, ratings and reviews ready to load wherever you work.