{
  "data": {
    "id": "AWXG6hQyeCXrbvPN9",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "target-reviews-scraper",
    "username": "fetch_cat",
    "description": "Scrape public Target product reviews, star ratings, recommendation signals, review text, authors, and dates from product URLs or TCINs.",
    "isPublic": true,
    "createdAt": "2026-06-29T22:27:14.407Z",
    "modifiedAt": "2026-07-09T11:07:01.732Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "bQZOWCh2szryu8jCJ",
        "finishedAt": "2026-07-09T11:07:01.732Z",
        "buildNumberInt": 100007,
        "buildNumber": "0.1.7"
      }
    },
    "stats": {
      "totalBuilds": 7,
      "totalRuns": 23,
      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-07-09T19:52:45.632Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 8,
        "TIMED-OUT": 0,
        "TOTAL": 8
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"startUrls\":[{\"url\":\"https://www.target.com/p/apple-airpods-pro-2nd-generation-with-magsafe-case-usb-c/-/A-85978622\"}],\"maxReviews\":20,\"sortBy\":\"most_recent\",\"proxyConfiguration\":{\"useApifyProxy\":false}}",
      "contentType": "application/json"
    },
    "categories": [
      "ECOMMERCE",
      "AUTOMATION",
      "DEVELOPER_TOOLS"
    ],
    "isDeprecated": false,
    "title": "Target Reviews Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-AWXG6hQyeCXrbvPN9-ciyLJmBWov-target-reviews-scraper-actor-icon.png",
    "seoTitle": "Target Reviews Scraper: Extract Product Ratings & Feedback",
    "seoDescription": "Scrape Target product reviews, ratings, recommendation data, authors, dates, and customer feedback from public product URLs or TCIN item IDs fast.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-29T22:29:30.000Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Review saved",
              "eventDescription": "Per Target review saved to the dataset",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00039
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.0003
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0002
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00014
                }
              },
              "isPrimaryEvent": true
            }
          }
        },
        "createdAt": "2026-06-29T22:29:14.221Z",
        "apifyMarginPercentage": 0.2
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-29T22:34:00.000Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time charge when the scraper starts.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Review saved",
              "eventDescription": "Charged per Target review extracted.",
              "eventPriceUsd": 0.000024924,
              "isPrimaryEvent": true
            }
          }
        },
        "createdAt": "2026-06-29T22:33:46.021Z",
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Target Reviews Scraper\n\nTarget Reviews Scraper extracts structured review data from public Target product pages by product URL or item ID (TCIN). It converts review pages into normalized review rows containing per-review data (star rating, review title, review text, author nickname, submission date, recommendation indicator, helpful vote counts, verified-purchaser and syndication signals, scrape timestamp) alongside product context on each row (product URL, item ID, product title, brand, average rating, review counts, recommendation percentage). The Actor supports sorting by recency or rating and produces repeatable, structured outputs intended for ecommerce research, product quality analysis, brand monitoring, review intelligence, sentiment analysis, benchmarking, and AI dataset creation or downstream analytics.\n\n## Use cases\n\n- Ecommerce research and competitive product analysis\n- Product quality analysis and discovery of recurring customer complaints\n- Brand monitoring and tracking of ratings, review text, recommendation signals, and verified-purchase feedback\n- Sentiment analysis, rating-distribution comparison, and market research across products or categories\n- Building AI training datasets from Target customer reviews\n- Monitoring recent reviews or filtering for lowest/highest-rated feedback for issue discovery\n- Exporting structured review records for spreadsheets, BI tools, warehouses, or AI pipelines",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCY2Tj9PmYQ9ltZktsycM4vkRLAQGOtCueNDbE25eOsVZwUUdOYiIQbStIU8btRCglfoINbOEjJC4mu02vGL+2UAbX651wWPdIJmlnDJzNWBfO03ZsgQvw6VhDl2WxEMunHkT4HWH1K/PpRM/csz/lMS9+HqKZifKoohizKn5ksnv8Aix9zxLHyOqgLWPHtZcR+k1+IS5jCUebDc6+R5+Bweoh2Yrp6MeNDY6bzGkdVnOVUCA0C2vW52K0+a3QxFhUSVUUjVXLIQi/rRxkIHabpiuBLVD9qVQ+mf6VIrCMBoi3fL2190Gt7VxViwwXgJWRj7P3TO3RAGWrIq1GEHcz1 \n"
  }
}