# Agoda Scraper | Hotel Prices and Guest Ratings (`silentflow/agoda-scraper`) Actor Agoda scraper for hotel prices: enter a city, area, landmark or hotel name and get every hotel with its live nightly and total price, taxes, discount, free cancellation, star rating, guest score, coordinates, facilities and photos. No login needed. Sort, cap, schedule and export to JSON or CSV. - **URL**: https://apify.com/silentflow/agoda-scraper.md - **Developed by:** [SilentFlow](https://apify.com/silentflow) (community) - **Categories:** Travel, Other, E-commerce - **Features:** Limited permissions - **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.08 / 1,000 hotels This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Agoda Scraper **Turn an Agoda destination into a price table: every hotel listed for your dates, with its nightly and total price, taxes, discount, cancellation terms, guest score and location.** 50 hotels of Bangkok in 3 seconds, no Agoda account needed. ### How it works ![How it works](https://api.apify.com/v2/key-value-stores/YXm81xySHg6uRkewS/records/agoda-scraper-how-it-works-v1.png) 1. **You say what to read.** Search terms (a city, an area, a landmark or a hotel name), Agoda links (a search, a city page or a hotel page) or hotel ids, each in its own field, one per line. Add the dates, the party and the currency, or leave the defaults. 2. **The search is read page by page.** The hotels come back in the order you pick (recommended, price, guest rating, stars, distance), with the live price Agoda quotes for those dates, until your cap is met. 3. **One row comes back per hotel.** 47 fields: the price per night before and after taxes, the total for the stay, the crossed-out price and the discount, free cancellation and its deadline, the guest score with its six-part breakdown, stars, area, coordinates, distance from the center, pictures. Ready for a spreadsheet, a database or an AI pipeline. ### ✨ Why teams choose this over other Agoda scrapers Paging through 45 hotels at a time to rate-shop a city? Collecting hotel links by hand before a scraper agrees to give you prices? Getting prices back as text with a currency sign and a strike-through, then cleaning them for every report? - πŸ“ **A name, a link or an id.** Type `Bangkok`, `Sukhumvit`, `Eiffel Tower` or `Marina Bay Sands` and press Start, or paste the Agoda links and hotel ids you already have. Two of the three most used Agoda hotel scrapers on the Store ask for hotel links or ids first; this one takes them too, and also finds the hotels of a place for you. - πŸ’Ά **Prices you can compare.** Every row carries `pricePerNight` before taxes, `pricePerNightWithTaxes`, `totalPrice` for the whole stay and all rooms, `originalPricePerNight` before the discount and `discountPercent`, as numbers, in the currency you choose among 20. - 🧾 **The conditions on the row.** `hasFreeCancellation` with its deadline `freeCancellationUntil`, `canPayLater`, `canPayAtHotel`, `availableRooms`. A price without its conditions is not a price; here they sit in the same row. - ⭐ **The guest score, broken down.** `reviewScore` out of 10 and `reviewsCount`, plus `reviewScores` for cleanliness, facilities, location, room comfort, staff and value for money, and the share of guests who recommend the hotel. - πŸ—ΊοΈ **A location that joins.** Latitude and longitude, area, city, country code, distance from the city center and from the nearest station. Put the hotels on a map, or filter a radius, without geocoding. - πŸ”½ **Six orders that decide what you get.** Recommended by Agoda, price low to high, price high to low, guest rating, star rating, distance from the center. The order picks which hotels fill your cap: the 50 cheapest, the 50 best rated, the 50 closest. - πŸ“„ **The property page when you want it.** One switch adds the full street address, the description, the complete list of available facilities (137 for a large Bangkok hotel) and the check-in and check-out times. Off by default, so the fast listing stays fast. - 🧹 **A clean dataset, every time.** One row is one real hotel, once per run even when two destinations overlap. An unknown destination produces no row and a clear message on the run. Unknown values are `null`, never an empty string. Dates are ISO, prices are numbers. ### 🎯 What you can do with Agoda data | Team | What they build | |------|-----------------| | Hotel revenue management | A morning rate shop of the 30 hotels around their property for the next 4 weekends, with taxes and cancellation terms, pushed to a sheet | | Travel market research | A price-band study of a destination: average nightly rate by star rating and by area, share of free cancellation, guest score distribution | | Online travel agencies and metasearch | A hotel inventory of a city with coordinates, stars, scores and pictures, refreshed on a schedule | | Destination marketing | A monthly report of what a night costs in their city versus three rival destinations, in one currency | | Deal newsletters and comparison sites | The best rated hotels under a price, per city, with the discount and the pictures, every Thursday | | Data and AI | A dataset of hotels with prices, scores and locations over time, for forecasting or a recommendation model | | Corporate travel | A shortlist of hotels near an office or a venue (landmark search) with pay-later options for a team offsite | ### πŸ“₯ Input parameters #### Essentials Fill one, two or all three of the first fields: every line of every field is read in the same run. | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | Search terms, one per line: a city (`Bangkok`, `Paris`), an area (`Sukhumvit`), a landmark (`Eiffel Tower`) or a hotel name (`Marina Bay Sands`). A place gives every hotel Agoda lists there; a hotel name gives that hotel. | | `startUrls` | array | Agoda links, one per line: a search results page (`https://www.agoda.com/search?city=9395`), a city page (`https://www.agoda.com/city/bangkok-th.html`) or a hotel page (`https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html`). A search or city link gives the hotels of that place, a hotel link gives that hotel. | | `hotelIds` | array | Agoda hotel ids, one per line (`185945`). The id is the `id` column of every row, so the hotels of an earlier run can be priced again for new dates. One row per id. | | `checkIn` | string | First night of the stay, `YYYY-MM-DD`. Empty means two weeks from today. | | `checkOut` | string | Departure date. Empty means one night. Up to 30 nights. | | `maxItems` | integer, default `50` | Maximum rows per search term, link or destination. A single hotel, by name, link or id, gives one row whatever the cap. | #### πŸ›οΈ Stay | Field | Type | Description | |-------|------|-------------| | `adults` | integer, default `2` | Adult guests, up to 20. | | `rooms` | integer, default `1` | Rooms, up to 10. `pricePerNight` stays the rate of one room; `totalPrice` covers all rooms and nights. | | `currency` | string, default `USD` | Currency of every price: USD, EUR, GBP, THB, JPY, SGD, AUD, CAD, INR, KRW, CNY, HKD, MYR, IDR, PHP, VND, TWD, AED, CHF or BRL. | | `sortBy` | string, default `recommended` | `recommended`, `price_low_to_high`, `price_high_to_low`, `review_score`, `star_rating` or `distance_from_center`. The two price orders keep only hotels with a room left. | #### πŸ“„ Output | Field | Type | Description | |-------|------|-------------| | `includeDetails` | boolean, default `false` | On: every row also gets the full address, the description, the complete facility list and the check-in and check-out times from the hotel's page, about one extra second per hotel. | #### βš™οΈ Advanced | Field | Type | Description | |-------|------|-------------| | `destinations` | array | The list of the first version, kept so saved tasks and API calls keep working: any mix of names, Agoda links and hotel ids, one per line. New runs can use the three fields at the top. | | `debugMode` | boolean, default `false` | Adds detailed lines to the run log. | ### πŸ“Š Output data One row per hotel. A listing row of the default run: ```json { "id": 10629, "url": "https://www.agoda.com/amari-don-muang-airport-bangkok-hotel/hotel/bangkok-th.html", "name": "Amari Don Muang Airport Bangkok Hotel", "propertyType": "Hotel", "starRating": 4, "highlights": ["Dedicated Skybridge to Airport", "Buffet Breakfast with Cook-to-Order"], "facilities": ["Swimming pool", "Free Wi-Fi in all rooms!", "Gym/fitness", "Close to public transportation"], "description": null, "address": null, "postalCode": null, "checkInTime": null, "checkOutTime": null, "pricePerNight": 72.03, "pricePerNightWithTaxes": 84.78, "totalPrice": 84.78, "originalPricePerNight": 90.04, "discountPercent": 20, "currency": "USD", "isAvailable": true, "availableRooms": 62, "hasFreeCancellation": true, "freeCancellationUntil": "2026-10-02T17:00:00Z", "canPayLater": true, "canPayAtHotel": false, "reviewScore": 8.4, "reviewsCount": 38511, "reviewScores": { "cleanliness": 8.4, "facilities": 8.3, "location": 9.3, "roomComfort": 8.1, "staffPerformance": 8.5, "valueForMoney": 8.1 }, "recommendedPercent": 85, "area": "Don Mueang International Airport", "city": "Bangkok", "country": "Thailand", "countryCode": "TH", "latitude": 13.9209880828857, "longitude": 100.600479125977, "distanceFromCenterKm": 19, "nearestStation": "Don Muang Railway Station", "nearestStationKm": 0.2, "checkIn": "2026-10-04", "checkOut": "2026-10-05", "nights": 1, "adults": 2, "rooms": 1, "imageUrl": "https://pix8.agoda.net/hotelImages/10629/-1/71c039c179abc26a3ef12cca5e97e6ab.jpg?va=1&ca=11&ce=1", "images": ["https://pix8.agoda.net/hotelImages/10629/-1/71c039c179abc26a3ef12cca5e97e6ab.jpg?va=1&ca=11&ce=1", "..."], "destination": "Bangkok", "destinationType": "city", "scrapedAt": "2026-09-20T15:15:14Z" } ``` The same hotel with `includeDetails` on fills the five property page fields: ```json { "id": 10629, "name": "Amari Don Muang Airport Bangkok Hotel", "description": "Experience a seamless blend of convenience and Thai hospitality at Amari Don Muang Airport Bangkok Hotel, the perfect sanctuary for those arriving in Bangkok. ...", "address": "333 Moo 10, Chert Wudthakas Road, Srikan, Don Mueang International Airport, Bangkok, Thailand, 10210", "postalCode": "10210", "checkInTime": "15:00", "checkOutTime": "12:00", "facilities": ["Swimming pool", "Free Wi-Fi in all rooms!", "Gym/fitness", "Airport transfer", "Restaurants", "Bar", "Car park", "Elevator", "..."] } ``` A hotel with no room left for the dates keeps its row with `isAvailable: false` and `null` in every price field, so the market count stays right and you can still read its score and location. ### πŸ—‚οΈ Data fields 47 fields per hotel, grouped as they appear in the row. `reviewScores` holds 6 more. | Group | Fields | |-------|--------| | Identity (3) | `id` (Agoda property id, stable), `url` (permanent property page), `name` | | Content (9) | `propertyType` (Hotel, Resort, Apartment, Hostel...), `starRating`, `highlights` (what Agoda calls out for the hotel), `facilities` (the ones Agoda shows in the search; the full list with `includeDetails`), `description`, `address`, `postalCode`, `checkInTime`, `checkOutTime` (the last five with `includeDetails`) | | Prices and conditions (12) | `pricePerNight` (one room, one night, before taxes), `pricePerNightWithTaxes`, `totalPrice` (all rooms, all nights, taxes in), `originalPricePerNight` (crossed-out rate), `discountPercent`, `currency`, `isAvailable`, `availableRooms`, `hasFreeCancellation`, `freeCancellationUntil` (RFC 3339 UTC), `canPayLater`, `canPayAtHotel` | | Guest rating (4) | `reviewScore` (out of 10), `reviewsCount`, `reviewScores` (cleanliness, facilities, location, roomComfort, staffPerformance, valueForMoney), `recommendedPercent` | | Place (9) | `area`, `city`, `country`, `countryCode` (ISO 3166-1), `latitude`, `longitude`, `distanceFromCenterKm`, `nearestStation`, `nearestStationKm` | | Stay (5) | `checkIn`, `checkOut`, `nights`, `adults`, `rooms`: the conditions the price was quoted for | | Media (2) | `imageUrl` (first picture), `images` (up to 12 pictures) | | Meta (3) | `destination` (your input line), `destinationType` (city, area, landmark or hotel), `scrapedAt` (RFC 3339 UTC) | `url` and `id` are permanent. Picture links stay valid for weeks. Prices are what Agoda quoted at `scrapedAt` for the stay described on the row; they move with dates, party and demand. ### πŸš€ Examples #### Get the 50 recommended hotels of a city for two weeks from now ```json { "searchQueries": ["Bangkok"] } ``` #### Find the 100 cheapest rooms in Paris for a given weekend ```json { "searchQueries": ["Paris"], "checkIn": "2026-11-20", "checkOut": "2026-11-22", "sortBy": "price_low_to_high", "currency": "EUR", "maxItems": 100 } ``` #### Rate-shop a neighborhood with full details for a family of four ```json { "searchQueries": ["Sukhumvit"], "checkIn": "2026-12-26", "checkOut": "2026-12-30", "adults": 4, "rooms": 2, "currency": "THB", "sortBy": "review_score", "includeDetails": true, "maxItems": 40 } ``` #### Compare hotels around a landmark and one named hotel in the same run ```json { "searchQueries": ["Eiffel Tower", "Marina Bay Sands"], "checkIn": "2027-02-14", "checkOut": "2027-02-16", "sortBy": "distance_from_center", "maxItems": 30 } ``` #### Build a hotel inventory of five cities in one currency ```json { "searchQueries": ["Tokyo", "Osaka", "Kyoto", "Fukuoka", "Sapporo"], "currency": "JPY", "sortBy": "star_rating", "maxItems": 300 } ``` #### Read the Agoda pages you already have open ```json { "startUrls": [ { "url": "https://www.agoda.com/search?city=9395" }, { "url": "https://www.agoda.com/city/paris-fr.html" }, { "url": "https://www.agoda.com/the-okura-prestige-bangkok/hotel/bangkok-th.html" } ], "checkIn": "2026-11-15", "maxItems": 20 } ``` #### Price the hotels of an earlier run again for new dates ```json { "hotelIds": ["185945", "294217", "10629"], "checkIn": "2026-12-31", "checkOut": "2027-01-02", "currency": "EUR" } ``` ### πŸ€– Copy to your AI assistant Paste this block into Claude, ChatGPT or Cursor to give it full context about this scraper: ``` You have access to the Agoda Scraper on Apify: silentflow/agoda-scraper Input schema: - searchQueries (array of strings): cities, areas, landmarks or hotel names. Prefill: ["Bangkok"] - startUrls (array of {"url": string}): Agoda search pages (https://www.agoda.com/search?city=9395), city pages (https://www.agoda.com/city/bangkok-th.html) or hotel pages (https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html) - hotelIds (array of strings): Agoda hotel ids, the id column of the output (e.g. "185945"); one row per id - checkIn (string, YYYY-MM-DD, optional): first night; empty = 14 days from today - checkOut (string, YYYY-MM-DD, optional): departure; empty = one night; up to 30 nights - maxItems (integer, default 50): max rows per search term, link or destination; a single hotel gives 1 row - adults (integer, default 2, max 20) - rooms (integer, default 1, max 10) - currency (string, default "USD"): USD, EUR, GBP, THB, JPY, SGD, AUD, CAD, INR, KRW, CNY, HKD, MYR, IDR, PHP, VND, TWD, AED, CHF, BRL - sortBy (string, default "recommended"): recommended | price_low_to_high | price_high_to_low | review_score | star_rating | distance_from_center. The price orders return only hotels with a room left. - includeDetails (boolean, default false): adds description, address, postalCode, checkInTime, checkOutTime and the full facilities list - destinations (array of strings, optional): the mixed list of the first version (names, links or ids), still read - debugMode (boolean, default false) Output per hotel (47 fields): - id (integer), url (string), name (string) - propertyType (string|null), starRating (number|null), highlights (string[]), facilities (string[]), description (string|null), address (string|null), postalCode (string|null), checkInTime (string|null), checkOutTime (string|null) - pricePerNight (number|null), pricePerNightWithTaxes (number|null), totalPrice (number|null), originalPricePerNight (number|null), discountPercent (integer|null), currency (string), isAvailable (boolean), availableRooms (integer|null), hasFreeCancellation (boolean), freeCancellationUntil (RFC 3339|null), canPayLater (boolean), canPayAtHotel (boolean) - reviewScore (number|null, out of 10), reviewsCount (integer|null), reviewScores (object|null: cleanliness, facilities, location, roomComfort, staffPerformance, valueForMoney), recommendedPercent (integer|null) - area, city, country, countryCode (string|null), latitude, longitude (number|null), distanceFromCenterKm (number|null), nearestStation (string|null), nearestStationKm (number|null) - checkIn, checkOut (YYYY-MM-DD), nights, adults, rooms (integer) - imageUrl (string|null), images (string[]) - destination (string), destinationType (city|area|landmark|hotel), scrapedAt (RFC 3339) No login. Use apify-client for Python or JavaScript. ``` ### πŸ’» Integrations #### Rate-shop a competitive set every morning (Python) ```python from apify_client import ApifyClient from datetime import date, timedelta client = ApifyClient("YOUR_APIFY_TOKEN") friday = date.today() + timedelta((4 - date.today().weekday()) % 7 + 7) run = client.actor("silentflow/agoda-scraper").call(run_input={ "searchQueries": ["Sukhumvit"], "checkIn": friday.isoformat(), "checkOut": (friday + timedelta(days=2)).isoformat(), "sortBy": "review_score", "currency": "THB", "maxItems": 40, }) rows = client.dataset(run["defaultDatasetId"]).list_items().items priced = [r for r in rows if r["isAvailable"]] priced.sort(key=lambda r: r["pricePerNight"]) for r in priced[:10]: flag = "free cancel" if r["hasFreeCancellation"] else "non refundable" print(f'{r["name"][:40]:40} {r["starRating"]}* {r["reviewScore"]} {r["pricePerNight"]:>8.0f} THB {flag}') ``` #### Put a city's hotels on a map with their scores (JavaScript) ```javascript import { ApifyClient } from 'apify-client'; import fs from 'node:fs'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('silentflow/agoda-scraper').call({ searchQueries: ['Lisbon'], sortBy: 'distance_from_center', currency: 'EUR', maxItems: 200, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); const geojson = { type: 'FeatureCollection', features: items .filter((h) => h.latitude && h.longitude) .map((h) => ({ type: 'Feature', geometry: { type: 'Point', coordinates: [h.longitude, h.latitude] }, properties: { name: h.name, stars: h.starRating, score: h.reviewScore, price: h.pricePerNight, url: h.url }, })), }; fs.writeFileSync('lisbon-hotels.geojson', JSON.stringify(geojson)); console.log(`${geojson.features.length} hotels written`); ``` #### Track a price curve over dates (Python, CSV) ```python import csv from apify_client import ApifyClient from datetime import date, timedelta client = ApifyClient("YOUR_APIFY_TOKEN") with open("okura-prices.csv", "a", newline="") as f: writer = csv.writer(f) for lead in (7, 14, 30, 60): check_in = date.today() + timedelta(days=lead) run = client.actor("silentflow/agoda-scraper").call(run_input={ "hotelIds": ["294217"], "checkIn": check_in.isoformat(), }) for h in client.dataset(run["defaultDatasetId"]).list_items().items: writer.writerow([date.today(), check_in, h["name"], h["pricePerNight"], h["totalPrice"], h["currency"], h["hasFreeCancellation"]]) ``` ### πŸ“ˆ Performance Measured on 20 September and 7 October 2026: | Run | Rows | Time | |-----|------|------| | Bangkok, default input | 50 hotels | 4 seconds | | Sukhumvit, 3 nights, guest rating order, property pages read | 12 hotels with address, description and 137 facilities each | 12 seconds | | Eiffel Tower + Marina Bay Sands + Tokyo by address, 2 rooms, price order | 17 hotels | 2 seconds | | Three search terms (an area, a hotel, a landmark), cap 10 | 21 hotels | 3 seconds | | Four Agoda links (a city page, a search page, two hotel pages), cap 10 | 22 hotels | 5 seconds | | Three hotel ids | 3 hotels | 6 seconds | Agoda lists about 45 hotels per page and answers a page in about a second, so 500 hotels of a city take about a minute without details. With `includeDetails`, count about one more second per hotel. A single hotel, by name, link or id, takes a second or two. There is no fixed limit on rows per run. ### πŸ’Ύ Data export The dataset is available from the run page in JSON, CSV, Excel, XML, HTML table and RSS, and through the API: ``` https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=csv&token=YOUR_TOKEN ``` Two views are ready on the run page: **Hotels** (name, stars, guest rating, reviews, price per night, currency, area, link) and **Prices and conditions** (nightly rate, rate with taxes, total, crossed-out price, discount, free cancellation, pay later). Every field of the row is in every export whatever the view. ### πŸ’‘ Tips for best results 1. **Set the dates you care about.** Prices, availability and cancellation deadlines are quoted for the stay on the row. Empty dates mean two weeks ahead, one night, which is a good default for a market snapshot but not for a specific weekend. 2. **Pick the order before the cap.** `maxItems: 50` with `price_low_to_high` gives the 50 cheapest; with `review_score` the 50 best rated. For a full market, raise the cap: a large city has 1,000 to 5,000 hotels. 3. **Use an area or a landmark for a neighborhood.** `Sukhumvit` or `Eiffel Tower` returns the hotels of that spot; `Bangkok` returns the whole city in Agoda's order. 4. **Read one hotel by its name or its id.** `Marina Bay Sands` in the search terms, or `185945` in the hotel ids, gives one row with the live price for your dates: cheap to schedule daily for a price curve. 5. **Leave `includeDetails` off for monitoring.** Prices, scores and locations are on the listing row already; turn the property page on when you need the address, the description or the full facility list. ### ❓ FAQ **What does the scraper extract?** The hotels Agoda lists for a destination and a stay: identity, stars, highlights and facilities, nightly and total price with taxes, discount, availability, cancellation and payment conditions, guest score with its breakdown, area, coordinates, distances, pictures. 47 fields per hotel, plus address, description, full facilities and check-in times with `includeDetails`. **Which destinations work?** Cities (`Bangkok`), areas (`Sukhumvit`), landmarks (`Eiffel Tower`) and hotel names (`Marina Bay Sands`) in the search terms. The name is resolved the way Agoda's own search box resolves it: an exact match wins, then the first city, area, landmark or hotel offered. Unknown places produce no row and a message on the run. **Can I paste Agoda links or hotel ids instead of names?** Yes, each has its own field. `startUrls` takes the links you copy from Agoda: a search results page (`https://www.agoda.com/search?city=9395`, also with an area or a landmark), a city page (`https://www.agoda.com/city/bangkok-th.html`) or a hotel page (`https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html`). `hotelIds` takes Agoda hotel ids such as `185945`, the same as the `id` column of every row, so a list from an earlier run can be priced again for other dates. A search or city link gives the hotels of the place up to your cap; a hotel link or an id gives that one hotel. The dates, guests and currency always come from the form, not from the link. **Can I mix search terms, links and ids in one run?** Yes. Every line of the three fields is read in the same run, one after the other, and a hotel found twice is delivered once. `maxItems` applies to each line. **I already use the `destinations` field. Does it still work?** Yes. It is kept under Advanced and reads names, links and ids exactly as before, so saved tasks, schedules and API calls keep running unchanged. **Are the prices live?** Yes. Every run reads Agoda at that moment for the dates, party and currency you set, and writes them on the row (`checkIn`, `checkOut`, `adults`, `rooms`, `currency`, `scrapedAt`). There is no cache. **Why do some rows have no price?** Agoda lists hotels with no room left for the dates. They keep their row with `isAvailable: false` and `null` in the price fields, so the market count is right. The two price orders skip them, so every row of a price-sorted run has a price. **What is the difference between the price fields?** `pricePerNight` is one room for one night before taxes and fees, `pricePerNightWithTaxes` the same with them, `totalPrice` the whole stay for all rooms with taxes, `originalPricePerNight` the crossed-out rate before Agoda's discount, `discountPercent` the difference in percent. **Do I need an Agoda account?** No. The scraper reads the public search results. No login, no key. **How many hotels can I get per run?** There is no fixed limit. `maxItems` caps each destination; a city with 4,000 hotels needs about 90 pages, which takes a couple of minutes. Several destinations run one after the other in the same run, and a hotel that appears in two of them is delivered once. **Can I get reviews?** Not the review texts. Each row carries the guest score, the number of reviews, the score per aspect and the share of guests who recommend the hotel. **Which currencies are supported?** Twenty: USD, EUR, GBP, THB, JPY, SGD, AUD, CAD, INR, KRW, CNY, HKD, MYR, IDR, PHP, VND, TWD, AED, CHF and BRL. Agoda converts at its own rate. **Can I schedule it?** Yes. Leave the dates empty for a rolling two-weeks-ahead snapshot, or compute them in your own code as in the Integrations section. A run of 50 hotels takes seconds. **Are the links permanent?** `url` is the hotel's permanent page on Agoda and `id` its stable property id. Picture links stay valid for weeks; download them if you archive. **Is this legal?** The scraper reads publicly listed hotels and prices, the same pages any visitor sees. See the Legal section and check the terms that apply to your use. ### βš–οΈ Legal This Actor extracts publicly available data from agoda.com. It does not bypass any login, paywall or CAPTCHA. Users are responsible for complying with Agoda's terms of service and applicable data protection laws (GDPR, CCPA and PIPL where relevant). The output describes hotels and prices, not individuals; the description and address fields are the property's own public information. 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We ship features fast. - Feature requests go straight to our backlog - Enterprise needs? We do custom integrations and high-volume plans - Pricing questions? Check the Monetization tab on the actor page Response time: usually under 24 hours. Check out our other scrapers: [silentflow on Apify](https://apify.com/silentflow) # Actor input Schema ## `searchQueries` (type: `array`): Cities, areas, landmarks or hotel names, one per line: Bangkok, Sukhumvit, Eiffel Tower, Marina Bay Sands. A place gives every hotel Agoda lists there, in the order Agoda recommends unless you sort; a hotel name gives that hotel alone. A big city has thousands of hotels, so set the cap to what you need. ## `startUrls` (type: `array`): Links copied from Agoda, one per line: a search results page (https://www.agoda.com/search?city=9395), a city page (https://www.agoda.com/city/bangkok-th.html) or a hotel page (https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html). A search or city link gives the hotels of that place, a hotel link gives that hotel. Dates, guests and currency come from this form, not from the link. ## `hotelIds` (type: `array`): Agoda hotel ids, one per line: 185945 is Marina Bay Sands. It is the id column of every row, so the hotels of an earlier run can be priced again for new dates. Each id gives one row, with the live price of that hotel for your stay. ## `checkIn` (type: `string`): First night of the stay (2026-10-15). Prices, availability and free cancellation are quoted for these dates. Leave empty to look two weeks ahead, when most of a city is still bookable. ## `checkOut` (type: `string`): Departure date (2026-10-18). Leave empty for a one-night stay. Up to 30 nights; totalPrice covers the whole stay, pricePerNight is the nightly rate. ## `maxItems` (type: `integer`): How many rows to save for each search term, link or destination. Agoda lists about 45 hotels per page, so 50 takes a few seconds and 500 about a minute. A single hotel, by name, link or id, gives one row whatever the cap. ## `adults` (type: `integer`): Number of adult guests, up to 20. 2 is what Agoda shows by default; a solo traveller often sees lower single rates. ## `rooms` (type: `integer`): Number of rooms, up to 10. pricePerNight stays the rate of one room; totalPrice multiplies by rooms and nights. ## `currency` (type: `string`): Currency of every price on the rows. Agoda converts at its own rate, so pick the one you report in. ## `sortBy` (type: `string`): Order of the rows, which decides which hotels fill the cap. Recommended is Agoda's own ranking; the two price orders keep only hotels with a room left, so every row has a price; guest rating and star rating put the best rated first; distance from center starts downtown. ## `includeDetails` (type: `boolean`): On: every row also gets the full street address, the description, the complete list of facilities and the check-in and check-out times, read from the hotel's page. Roughly one extra second per hotel. Off: the listing row alone, with the facilities Agoda highlights in the search. ## `destinations` (type: `array`): Kept so saved tasks and API calls keep working: any mix of the entries above, one per line (Bangkok, 185945, https://www.agoda.com/search?city=9395). Each line is read like the field it belongs to. New runs can leave it empty and use the three fields at the top. ## `debugMode` (type: `boolean`): Adds detailed lines to the run log. Leave it off for normal runs. ## Actor input object example ```json { "searchQueries": [ "Bangkok" ], "maxItems": 50, "adults": 2, "rooms": 1, "currency": "USD", "sortBy": "recommended", "includeDetails": false, "debugMode": false } ``` # Actor output Schema ## `hotels` (type: `string`): Every hotel with id, url, name, propertyType, starRating, highlights, facilities, pricePerNight, pricePerNightWithTaxes, totalPrice, originalPricePerNight, discountPercent, currency, isAvailable, hasFreeCancellation, reviewScore, reviewsCount, reviewScores, area, city, country, latitude, longitude, distanceFromCenterKm, checkIn, checkOut, images and scrapedAt. ## `prices` (type: `string`): The price columns of each row: nightly rate, rate with taxes, total for the stay, crossed-out price, discount, free cancellation and pay-later flags. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "Bangkok" ] }; // Run the Actor and wait for it to finish const run = await client.actor("silentflow/agoda-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["Bangkok"] } # Run the Actor and wait for it to finish run = client.actor("silentflow/agoda-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "Bangkok" ] }' | apify call silentflow/agoda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/agoda-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/hUgLd6vx8vkB2jhVF/builds/H4RPW38RBkBGXZEfz/openapi.json