{
  "data": {
    "id": "9JtqHelNzhr3DlUjU",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "airbnb-reviews-scraper",
    "username": "fetch_cat",
    "description": "Extract public Airbnb reviews, reviewer details, ratings, dates, host responses, and listing context from room URLs for STR research.",
    "isPublic": true,
    "createdAt": "2026-06-26T19:37:25.449Z",
    "modifiedAt": "2026-07-09T10:52:19.189Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "w2j1bSYDSdffGWUEc",
        "finishedAt": "2026-07-09T10:52:19.189Z",
        "buildNumberInt": 100005,
        "buildNumber": "0.1.5"
      }
    },
    "stats": {
      "totalBuilds": 5,
      "totalRuns": 20,
      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-07-09T13:44:32.819Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 10,
        "TIMED-OUT": 0,
        "TOTAL": 10
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"startUrls\": [{\"url\": \"https://www.airbnb.com/rooms/20669368\"}], \"maxReviewsPerListing\": 10, \"sort\": \"recent\", \"proxyConfiguration\": {\"useApifyProxy\": false}}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "TRAVEL",
      "REAL_ESTATE",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "Airbnb Reviews Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-9JtqHelNzhr3DlUjU-1W6tePGg8r-airbnb-reviews-scraper.png",
    "seoTitle": "Airbnb Reviews Scraper: Extract Guest Review Data",
    "seoDescription": "Scrape public Airbnb reviews from listing URLs with guest text, dates, ratings, reviewer details, host replies, and listing context for analysis.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-27T14:40:00.000Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time fee charged when a run starts. Covers fixed startup cost.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Review saved",
              "eventDescription": "Charged per Airbnb review saved to the dataset.",
              "isPrimaryEvent": true,
              "eventPriceUsd": 0.000027604
            }
          }
        },
        "createdAt": "2026-06-27T14:27:08.088Z",
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Airbnb Reviews Scraper\n\nAirbnb Reviews Scraper converts public Airbnb listing (room) pages into structured review records by scraping review text, dates, reviewer metadata, listing context, ratings, review counts, detected language, translated text when available, host responses when public, and a scrape timestamp; it supports multi-listing batches, configurable per-listing collection limits, pagination and sort options, and produces one record per review suitable for search, sentiment analysis, market intelligence, competitor comparison, and NLP/LLM pipelines.\n\n## Use cases\n\n- Property managers tracking guest sentiment across managed listings.  \n- Short-term rental analysts comparing competing stays in a destination.  \n- Reputation teams monitoring recent public guest feedback.  \n- Hospitality researchers building review datasets for market studies.  \n- Automation teams feeding review text and metadata into BI, CRM, or AI workflows.  \n- Periodic reputation monitoring (recurring runs to capture new reviews).  \n- Market research collecting and comparing reviews from multiple listings for destination analysis.  \n- Guest experience analysis and topic classification using NLP or LLM pipelines.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDKB6a9VX7hNX8DVdOJfEGN++F1v2kdMEWku1rqykiW81rmWR8KhECLkdupHVNEVAldakVkGs16apM4dv6UXIgpvlJvxNqQKKiR7xv1yyNsTmypf11DZjzl2pW7aVPjEoTYBxwn7MsAHqDf1ii/+h/TkyQZTBVMtzNY3+wCIlU12WvzZXiU6SQAfdRvG5k1E+7M6r3/R8ZLh5IiGwAXpBzv4L1T+Nwm3Drj+0IWSwsFwa0fk0bLdK4QrDAf+R8kf6aepRGy0EQxG0UHJRMBVaHw01dMZXhhkx699KpqoWDv8Tyn2hKlGbhi5S9DdkzlBPn0qwUbjTUwANWPuBJpdsIP \n"
  }
}