{
  "data": {
    "id": "FhWselNUrUgGXsfLn",
    "userId": "GAwaasFoZDmYRNA2p",
    "name": "app-store-scraper",
    "username": "prodiger",
    "description": "Scrape Apple App Store, iTunes, Music, and Podcasts data — app details, ratings, and reviews. Pay-per-event pricing: $0.30 per 1000 apps + $0.10 per 1000 reviews. No monthly fee.",
    "isPublic": true,
    "createdAt": "2026-05-15T19:39:45.061Z",
    "modifiedAt": "2026-05-15T19:49:28.410Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "3K5tfdO1uDLpg4a99",
        "finishedAt": "2026-05-15T19:40:34.084Z",
        "buildNumberInt": 100001,
        "buildNumber": "0.1.1"
      }
    },
    "stats": {
      "totalBuilds": 1,
      "totalRuns": 321,
      "totalUsers": 9,
      "totalUsers7Days": 0,
      "totalUsers30Days": 0,
      "totalUsers90Days": 3,
      "lastRunStartedAt": "2026-09-30T19:51:03.927Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 33,
        "TIMED-OUT": 0,
        "TOTAL": 33
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 3600,
      "memoryMbytes": 4096
    },
    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "ECOMMERCE",
      "DEVELOPER_TOOLS",
      "AI"
    ],
    "isDeprecated": false,
    "title": "App Store Scraper (Pay-Per-Event)",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/GAwaasFoZDmYRNA2p-actor-FhWselNUrUgGXsfLn-sZ3Gv6AuBT-images.jpg",
    "seoTitle": "Apple App Store Scraper (Pay-Per-Event)",
    "seoDescription": "Scrape Apple App Store, iTunes, Music, and Podcasts — apps, ratings, reviews. Pay-per-event: $0.30/1k apps + $0.10/1k reviews. No monthly fee.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "apify-actor-start": {
              "eventTitle": "Actor Start",
              "eventDescription": "Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).",
              "isOneTimeEvent": true,
              "eventPriceUsd": 0.001
            },
            "app-scraped": {
              "eventTitle": "App / track scraped",
              "eventDescription": "Charged once per app, movie, podcast, music album, song, audiobook, or ebook record written to the dataset.",
              "isOneTimeEvent": false,
              "isPrimaryEvent": true,
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.0003
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.00025
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.0002
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.00015
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0001
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00007
                }
              }
            },
            "review-scraped": {
              "eventTitle": "Review scraped",
              "eventDescription": "Charged once per de-duplicated review attached to an app record.",
              "isOneTimeEvent": false,
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.0001
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.00008
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00006
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.00005
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.00003
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00002
                }
              }
            }
          }
        },
        "createdAt": "2026-05-15T19:42:04.104Z",
        "startedAt": "2026-05-15T19:42:04.104Z",
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## App Store Scraper (Pay-Per-Event)\n\nA fast, HTTP-only crawler for extracting Apple App Store and iTunes Store metadata and user reviews across apps, movies, TV shows, podcasts, music (tracks and albums), music videos, audiobooks, short films, and ebooks. The Actor queries Apple's public itunes endpoints (search, lookup, and reviews RSS/JSON) in two operating modes—catalog keyword search across country-specific stores and ID-based lookup for numeric Apple IDs—without a headless browser or authentication. It returns per-item metadata such as title, developer/publisher/artist, genres, average rating and rating counts, price and currency, release date and version, file size, supported devices, language codes, screenshots and artwork at multiple resolutions, and optional attached user reviews (review id, score, title, body, reviewer name, app version, updated date). For reviews it performs dual-sort pagination (most recent and most helpful) and de-duplicates by review identifier to surface substantially more unique reviews per popular item (~700–1000), producing timestamped item records suitable for cataloging, analysis, and enrichment.\n\n## Use cases\n\n- Competitive intelligence: track competitor app updates, version changes, rating drift, and review themes  \n- Market research: aggregate app and media catalogs across categories and countries  \n- Sentiment analysis: collect review text and ratings for NLP, LLM, or analytics pipelines  \n- ASO (App Store Optimization): identify keywords, rankings, and metadata that affect discoverability  \n- Catalog enrichment: augment datasets with Apple-side metadata, screenshots, and artwork",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDZose11tytucZ028KMXgOH/w3Jfq2wH37SGNXjHh0DQ63qtudx7a6PfoRt8PVYYw3GnTr+OMRq0vjBv4DqikyR7tdnSbfqhtjd/PNj5zHcXmvF4jQ8myOkyocQRsNPXne3cFPwQ/XmCakrq6JXR0kxVbbO5hz1rgppQmaWG7lasE+5d6WRZz46TBRrK8ujjlzGVUF6XEQT0ckxZjWuACtCXQpHrv8UiAq4F7W7dxFSSP/bnSMFrFHZzxhN7t1c9BCjkEU7beSYacbfGS7UrP7x7+4yS/4QDbSS5WISoPDfOiLcvymAIffHr/pKIV/RPWC3uhad4+OCwTNtlNsXYF/r \n"
  }
}