Switching from Tripadvisor Reviews Scraper to Tripadvisor Reviews Scraper

Tripadvisor Reviews Scraper (arcadium/tripadvisor-reviews) reads input written for maxcopell/tripadvisor-reviews: 6 of its 8 input fields work as they are. Field list from its public input schema (build 0.0.237, 2026-10-31); prices and run results from the public Apify API, 2026-10-31.

Their fields that work as they are

Their fields this actor does not read

sourceDatasetId, scrapeReviewerInfo. Leave them out of the input; the actor’s own options are in the guide.

Side by side: their input, our rows

{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    }
  ],
  "maxItemsPerQuery": 50,
  "lastReviewDate": "2026-01-01",
  "disableMachineTranslations": false,
  "reviewRatings": [
    "5",
    "4"
  ],
  "reviewsLanguages": [
    "en"
  ]
}

{
  "reviewId": "Tripadvisor___123456789",
  "platform": "tripadvisor",
  "productName": "Example Grand Hotel",
  "date": "2026-09-27",
  "title": "Great stay",
  "text": "Quiet room, friendly staff.",
  "ratingOverall": 5,
  "ratings": {
    "value": 5,
    "cleanliness": 5
  },
  "language": "en",
  "vendorResponse": "Dear [name], thank you for staying with us.",
  "extras": {
    "tripType": "COUPLES",
    "visitDate": "2026-08",
    "placeType": "ACCOMMODATION"
  }
}

Output fields: rowType, platform, productName, productUrl, entityId, reviewId, reviewIdSource, reviewUrl, title, text, pros, cons, ratingOverall, ratings, date, reviewerRole, reviewerIndustry, reviewerCompanySize, reviewerTimeUsed, switchedFrom, alternativesConsidered, reasonForChoosing, reasonForSwitching, adviceToOthers, incentivized, incentive, reviewerVerified, vendorResponse, helpfulVotes, language, country, product, extras, scrapedAt, input, code, message. The rows use these names, not the other actor’s.

Price

Live Apify prices on 2026-10-31, in USD, for each actor’s main charged event. Start fees and platform usage are not included. Units differ: compare what one charged row contains. The Store page of each actor is the current source.

Common issues: failed or timed-out runs

• Tripadvisor Reviews Scraper timed out: 0.0% of 559,360 runs timed out.
• Tripadvisor Reviews Scraper failed: 0.3% of 559,360 runs ended as failed.

Apify’s public run statistics for each actor, last 30 days to 2026-10-31: FAILED and TIMED-OUT runs as a share of all runs. Shown from 50 runs. A failed run can also come from a bad input. Here an input that cannot be read comes back as a free error row with a code, and the other inputs still arrive.

How to switch

In the Apify Store

1. Open arcadium/tripadvisor-reviews and sign in to Apify.
2. On the Input tab, switch the editor to JSON and paste the input you used for maxcopell/tripadvisor-reviews, without the fields listed above as not read.
3. Start the run. Set a maximum cost per run in the run options if you want a hard cap.

Over the API

Change the actor ID in the URL from maxcopell~tripadvisor-reviews to arcadium~tripadvisor-reviews; the body stays the same apart from the fields this actor does not read.

curl -X POST "https://api.apify.com/v2/acts/arcadium~tripadvisor-reviews/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"}],"maxItemsPerQuery":50,"lastReviewDate":"2026-01-01","disableMachineTranslations":false,"reviewRatings":["5","4"],"reviewsLanguages":["en"]}'

In n8n

In the Apify node, change the actor to arcadium/tripadvisor-reviews and keep the input JSON. With an HTTP Request node:

{
  "nodes": [
    {
      "name": "Run arcadium/tripadvisor-reviews",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~tripadvisor-reviews/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"startUrls\":[{\"url\":\"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html\"}],\"maxItemsPerQuery\":50,\"lastReviewDate\":\"2026-01-01\",\"disableMachineTranslations\":false,\"reviewRatings\":[\"5\",\"4\"],\"reviewsLanguages\":[\"en\"]}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

From an AI assistant (MCP)

Add the actor as a tool on Apify’s MCP server; an agent can pass the same input fields.

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/tripadvisor-reviews",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

All switching guides