{
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    "id": "P1Sc5uBAKYfLYQ6xo",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "goodreads-books-reviews-scraper",
    "username": "fetch_cat",
    "description": "Extract public Goodreads book metadata, ratings, and reader reviews from book URLs or search queries for research and book marketing workflows.",
    "isPublic": true,
    "createdAt": "2026-06-29T08:24:10.584Z",
    "modifiedAt": "2026-07-09T10:58:04.379Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "JaEai0DaueOn79NVn",
        "finishedAt": "2026-07-09T10:58:04.379Z",
        "buildNumberInt": 100007,
        "buildNumber": "0.1.7"
      }
    },
    "stats": {
      "totalBuilds": 7,
      "totalRuns": 15,
      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-07-10T01:04:42.768Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 4,
        "TIMED-OUT": 0,
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      }
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    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\n  \"bookUrls\": [\n    {\n      \"url\": \"https://www.goodreads.com/book/show/41733839-the-great-gatsby\"\n    }\n  ],\n  \"queries\": [],\n  \"includeReviews\": true,\n  \"maxReviewsPerBook\": 5,\n  \"proxyConfiguration\": {\n    \"useApifyProxy\": false\n  }\n}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "MARKETING",
      "ECOMMERCE",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "Goodreads Books & Reviews Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-P1Sc5uBAKYfLYQ6xo-s2cCOlt9ev-goodreads-books-reviews-scraper-actor-icon.png",
    "seoTitle": "Goodreads Books & Reviews Scraper | Book Ratings Data",
    "seoDescription": "Scrape public Goodreads book metadata, authors, ratings, review counts, genres, and reader reviews from book URLs or search queries for book research.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "isOneTimeEvent": true,
              "eventPriceUsd": 0.005
            },
            "item": {
              "eventTitle": "Book or review item",
              "eventDescription": "Per book metadata row or reader review row produced",
              "isPrimaryEvent": true,
              "eventTieredPricingUsd": {
                "FREE": {
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                },
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        "startedAt": "2026-06-29T08:29:02.000Z",
        "apifyMarginPercentage": 0.2,
        "isPriceChangeNotificationSuppressed": true,
        "createdAt": "2026-06-29T08:29:02.392Z"
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Goodreads Books & Reviews Scraper\n\nGoodreads Books & Reviews Scraper extracts structured data from public Goodreads book pages, harvesting book metadata (title, authors, descriptive metadata, genres, cover image, format, page count, language), aggregated ratings and rating/review counts, and public reader reviews (reviewer identity, review text, review rating, visible engagement metrics such as likes and comments). The Actor supports both discovery via search queries that resolve to matching book pages and direct-URL targeting for precise scraping, and it produces two conceptual record types: book-level metadata rows and individual public review rows; review extraction is configurable with a per-book cap. Keywords: Goodreads scraping, book metadata, author data, genres, cover image, book format, page count, language, aggregated ratings, review counts, reader reviews, reviewer names, review text, engagement metrics, search-to-page resolution, direct URL scraping, structured book data, review exports, market signals.\n\n## Use cases\n\n- Monitor reader reaction to backlist and frontlist titles for publishers.\n- Analyze public review themes around comparable books for authors.\n- Enrich library catalog analysis with ratings and public reader feedback for libraries.\n- Compare reader sentiment across genres and authors for market researchers.\n- Build review exports for campaign planning and book marketing.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCz1e1P9Ov7qimFPu/LgPNrh1t+ph312EPTUiq/JYcD25AZ/gTwswWSZeA+4cor+QG3h4eIrSNghTkfVemDMV1DuBOIGdMsM0MmxwZwwoeAnP/EwgrGKwp42/jawWAuVhjTsnkVbfysR7gCO0DdcnG2eNRSf584rA2qupnb1/HtdldeKgsfLjciSAxML5Gwlw+qBSrYYnfYygFMJY+kQ+3CWezyPwBUdht34kNOW0p4xtZoYnJlV6y088PgXvCXiflpFTP4YUJCvpSmwfdRRJKMc586qx92Q9y346//VHkaObCiKVdS2hLEQSDGKmgY38YHsmJEK/aDqbWXxXGEiLJD \n"
  }
}