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Agoda and Trip.com Reviews Scraper

Give it Agoda or Trip.com hotel links (or hotel IDs) and it returns one JSON row per guest review: score, the text in the language it was written in plus an English translation, traveler type, stay details and the hotel's reply. $5.40 per 1,000 Agoda reviews and $3.60 per 1,000 Trip.com reviews on the free plan, less on paid plans; you pay only for rows you get.

$5.40 per 1,000 Agoda reviews on the Free plan, down to $2.70 on higher plans

Why this actor

Drop-in input

Drop-in input. Input written for knagymate/fast-agoda-reviews-scraper or knagymate/trip-com-reviews-scraper (hotelUrl, maxReviews, sortBy, cutoffDate, language), lergassy/agoda-reviews-scraper (startUrls, reviewsSort, reviewLanguages) or factden/ctrip-trip-reviews-scraper (fromDate) works as it is.

As stated in the actor’s README. The full list of accepted input names is on the Store page.

What you get

FieldWhat it holds
platformagoda or tripcom.
reviewIdThe site's own review ID, prefixed Agoda___ or Tripcom___. Stable between runs, so weekly exports can be deduplicated.
dateReview date, ISO format.
titleReview headline (Agoda; Trip.com reviews have none).
textThe review in the language it was written in.
pros, consLiked and disliked text where the site asks separately (some Agoda reviews).
ratingOverallScore on a 0 to 5 scale (the site's 1 to 10 score divided by 2). The original is in extras.score10.
languageTwo-letter language of the original text (the regional variant, such as zh-tw, is in extras.languageVariant).
vendorResponseThe hotel's reply, with the greeting name removed.
helpfulVotesHelpful votes.
countryReviewer country as a two-letter code. On by default; switch off with includeReviewerCountry: false.
extrastextTranslated (English translation when the site provides one), travelerType, roomType, stay dates or stay month, nights, photoCount, ownerResponseDate; Trip.com adds subScores10 (location, facilities, service, cleanliness), recommends, followUpText (the guest's later addition) and reviewSource (Trip.com or Ctrip).
entityId, productName, productUrl, productWhich hotel the review belongs to.

Sample row (from the README example; long text shortened, lists cut to two items):

{
  "platform": "agoda",
  "reviewId": "Agoda___1190000001",
  "date": "2026-10-08",
  "title": "また泊まりたいホテル",
  "text": "スタッフの対応がとても良く、部屋も清潔でした。川沿いの景色も最高です。",
  "ratingOverall": 5,
  "language": "ja",
  "country": "TH",
  "vendorResponse": "Dear Guest, thank you for staying with us...",
  "extras": {
    "score10": 10,
    "textTranslated": "The staff were very helpful and the room was clean. The river view is great too.",
    "travelerType": "Couple",
    "roomType": "Superior Room",
    "nights": 3,
    "checkIn": "2026-10-05"
  },
  "entityId": "230691",
  "productName": "Ibis Bangkok Riverside"
}

Price

Live Apify price on 2026-10-31, per 1,000 rows, by Apify plan. You pay only for rows delivered; error and summary rows marked free in the README cost nothing. Plus $0.001 per GB of memory when a run starts.

Per 1,000FreeBronzeSilverGoldPlatinumDiamond
Agoda review (main)$5.40$4.50$3.60$2.70$2.70$2.70
Trip.com review$3.60$3.30$3.00$2.70$2.70$2.70

Use cases

Run it from code or an AI agent

Actor ID arcadium/agoda-tripcom-reviews. Set APIFY_TOKEN to your Apify API token. The input below is the actor’s prefilled example; see the guide for every field.

curl
curl -X POST "https://api.apify.com/v2/acts/arcadium~agoda-tripcom-reviews/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html"},{"url":"https://www.trip.com/hotels/detail/?hotelId=425587"}],"maxReviewsPerHotel":20,"sort":"NEWEST"}'
JavaScript
// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/agoda-tripcom-reviews').call({
  "startUrls": [
    {
      "url": "https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html"
    },
    {
      "url": "https://www.trip.com/hotels/detail/?hotelId=425587"
    }
  ],
  "maxReviewsPerHotel": 20,
  "sort": "NEWEST"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
Python
# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/agoda-tripcom-reviews").call(run_input={
    "startUrls": [{
        "url": "https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html",
    }, {
        "url": "https://www.trip.com/hotels/detail/?hotelId=425587",
    }],
    "maxReviewsPerHotel": 20,
    "sort": "NEWEST",
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
MCP
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/agoda-tripcom-reviews",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}
LangChain
# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/agoda-tripcom-reviews")
rows = tool.invoke({"run_input": {
    "startUrls": [{
        "url": "https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html",
    }, {
        "url": "https://www.trip.com/hotels/detail/?hotelId=425587",
    }],
    "maxReviewsPerHotel": 20,
    "sort": "NEWEST",
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])
LlamaIndex
# pip install llama-index-readers-apify
import os
from llama_index.core import Document, VectorStoreIndex
from llama_index.readers.apify import ApifyActor

reader = ApifyActor(os.environ["APIFY_TOKEN"])
documents = reader.load_data(
    actor_id="arcadium/agoda-tripcom-reviews",
    run_input={
        "startUrls": [{
            "url": "https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html",
        }, {
            "url": "https://www.trip.com/hotels/detail/?hotelId=425587",
        }],
        "maxReviewsPerHotel": 20,
        "sort": "NEWEST",
    },
    dataset_mapping_function=lambda item: Document(text=str(item.get("text") or ""), metadata={"url": item.get("url")}),
)
index = VectorStoreIndex.from_documents(documents)
CrewAI
# pip install crewai crewai-tools langchain-apify   (reads APIFY_API_TOKEN from the environment)
from crewai import Agent
from crewai_tools import ApifyActorsTool

tool = ApifyActorsTool(actor_name="arcadium/agoda-tripcom-reviews")
researcher = Agent(
    role="Research analyst",
    goal="Answer with data collected by the tool",
    backstory="Uses public web data.",
    tools=[tool],
)
n8n
{
  "nodes": [
    {
      "name": "Run arcadium/agoda-tripcom-reviews",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~agoda-tripcom-reviews/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"startUrls\":[{\"url\":\"https://www.agoda.com/ibis-bangkok-riverside/hotel/bangkok-th.html\"},{\"url\":\"https://www.trip.com/hotels/detail/?hotelId=425587\"}],\"maxReviewsPerHotel\":20,\"sort\":\"NEWEST\"}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}
Google Sheets
// Extensions > Apps Script. Store your token once: Project Settings > Script properties > APIFY_TOKEN.
function importLastRun() {
  const token = PropertiesService.getScriptProperties().getProperty('APIFY_TOKEN');
  const url = 'https://api.apify.com/v2/acts/arcadium~agoda-tripcom-reviews/runs/last/dataset/items?status=SUCCEEDED&clean=true&format=json';
  const res = UrlFetchApp.fetch(url, { headers: { Authorization: 'Bearer ' + token } });
  const rows = JSON.parse(res.getContentText());
  if (!rows.length) return;
  const keys = Object.keys(rows[0]);
  const values = rows.map((r) => keys.map((k) => (typeof r[k] === 'object' ? JSON.stringify(r[k]) : r[k])));
  const sheet = SpreadsheetApp.getActiveSheet();
  sheet.clearContents();
  sheet.getRange(1, 1, 1, keys.length).setValues([keys]);
  sheet.getRange(2, 1, values.length, keys.length).setValues(values);
}

Limitations

FAQ

How fresh is the data? It is read when you run the actor, so it matches what the site shows at that moment.

Can I get only new reviews since my last run? Yes. Turn on onlyNewReviews and keep the same stateKey. The state is stored per hotel. Use another stateKey to start a separate series.

Where do I find a hotel ID? Agoda: the number after hotel_id= or selectedproperty= in a search link. Trip.com: the hotelId in a hotel link, or the number after hotel-detail-.

A hotel returned no reviews. Why? Check that the link opens a hotel page in your browser. Unknown hotels return an error row, which is not charged.

Something looks wrong in the output. Who do I tell? Open an issue on the actor page with the run link. We read them all.

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