{
  "data": {
    "id": "xxl42PjKtUj34DWuH",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "tripadvisor-reviews-scraper",
    "username": "fetch_cat",
    "description": "Export public Tripadvisor reviews with ratings, reviewer details, owner responses, photos, filters, and reliable pagination.",
    "isPublic": true,
    "createdAt": "2026-08-13T12:03:51.258Z",
    "modifiedAt": "2026-08-14T23:19:55.425Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "vorEzr5vzd8z2cB4s",
        "finishedAt": "2026-08-14T23:19:55.425Z",
        "buildNumberInt": 100004,
        "buildNumber": "0.1.4"
      }
    },
    "stats": {
      "totalBuilds": 4,
      "totalRuns": 24,
      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-08-25T23:30:41.840Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 12,
        "TIMED-OUT": 0,
        "TOTAL": 12
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"startUrls\": [{\"url\": \"https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html\"}], \"maxReviewsPerUrl\": 5, \"sort\": \"recent\"}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "TRAVEL",
      "MARKETING",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "Tripadvisor Reviews Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-xxl42PjKtUj34DWuH-JjdMRdBNcd-actor-icon.png",
    "seoTitle": "Tripadvisor Reviews Scraper & Review Data API",
    "seoDescription": "Scrape Tripadvisor reviews from hotels, restaurants, and attractions. Export ratings, text, reviewer details, owner replies, photos, and place data.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "reasonForChange": "Pricing is set per saved review so customers pay in proportion to the usable data they receive.",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
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              "isOneTimeEvent": true
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              "eventDescription": "Per dataset item produced",
              "eventTieredPricingUsd": {
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        "createdAt": "2026-08-13T12:06:33.469Z",
        "startedAt": "2026-08-13T12:06:33.469Z",
        "apifyMarginPercentage": 0.2
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "reasonForChange": "The per-review price was reduced after measuring efficient operation, so every customer pays less for each saved review.",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Review saved",
              "eventDescription": "Charged per review saved to the dataset.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000045424
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.000039499
                },
                "SILVER": {
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                },
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        "createdAt": "2026-08-13T12:11:40.882Z",
        "startedAt": "2026-08-13T12:11:40.882Z",
        "apifyMarginPercentage": 0.2
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    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Tripadvisor Reviews Scraper\n\nA web scraper that extracts public Tripadvisor reviews for hotels, restaurants, and attractions into repeatable structured records: it captures review titles and full text, numeric ratings, publication and travel dates, helpful-vote counts, language codes, public reviewer identifiers and profile details (display name, location, contribution counts, avatar), management responses (identifiers, text, dates), review photos (IDs, image URLs, captions), category-level subratings, and place metadata (place identifier, name, canonical URL, aggregate rating, total review count, address), plus deterministic source provenance and UTC extraction timestamps. Technical features include automated pagination handling, duplicate removal, batch processing of multiple place URLs, sorting by recent or relevance, filtering by rating/language/date ranges, partial-run preservation with resume-from-page capability, and configurable limits for reviews per place; outputs are structured review records suitable for sentiment analysis, topic modeling, NLP/LLM pipelines, reputation monitoring, and BI or research workflows.\n\n## Use cases\n\n- Monitor guest sentiment and management-response coverage for hospitality properties.  \n- Compare customer experience across hotels, restaurants, or attractions.  \n- Aggregate review text and ratings for topic modeling, sentiment analysis, or LLM training.  \n- Build recurring dashboards and datasets for BI, analytics, or research workflows.  \n- Archive public reviews with deterministic source provenance for auditing and historical analysis.  \n- Support reputation monitoring, hospitality research, and large-scale review aggregation.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC9Vy6NLlP5hE41L68dXg4gekbepM0p2m7wA23LYYDfQEGUC99qTURpTR295gpaEa8dlEQ6FF4U6uOK54/LJI1HFbt1RdNuG8dI1BTyUmej6ZpVVPRXw8zFclj54Yp4BmtYcFe2ngqYG+BKMmszUAp5IUHskl6ecDShaSGk/9vhYzSfYPssn2DWzkFna6+NjOb1kYJWUTZQMB+4j6/lsxKh8CED4zNbGnTisB0M/hanWST8DS1iWS+YVhl7v10TbSJi+uXGll8rcdgz9zWj4iC1vI6Td7/AzDFxqlD3v5gnx7BVGBKFfSu76/wxRnil5HwmFZ2f37u5juxlQCGoX+TL \n"
  }
}