# App Store & Google Play Listing Gap Report (`taroyamada/mobile-app-listing-gap-report`) Actor Compare public App Store and Google Play listing metadata against competitor apps and produce an action-ready listing improvement report. - **URL**: https://apify.com/taroyamada/mobile-app-listing-gap-report.md - **Developed by:** [naoki anzai](https://apify.com/taroyamada) (community) - **Categories:** Business, Developer tools, SEO tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9,000.00 / 1,000 listing snapshot checklists This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## App Store & Google Play Listing Gap Report ### Works best after App Store & Google Play Listing Gap Report is easiest to buy after one of these related Actors has already produced public rows or source context: - [Apple App Store Intelligence](https://apify.com/taroyamada/apple-app-store-intelligence?utm_source=apify_internal&utm_medium=readme_works_best_after&utm_campaign=v37_internal_flow&utm_content=mobile-app-listing-gap-report__apple-app-store-intelligence) - use its public rows or source context as the starting input. - [Google Play Intelligence](https://apify.com/taroyamada/google-play-intelligence?utm_source=apify_internal&utm_medium=readme_works_best_after&utm_campaign=v37_internal_flow&utm_content=mobile-app-listing-gap-report__google-play-intelligence) - use its public rows or source context as the starting input. Start with $9 / `listing_snapshot_checklist`; upgrade to $29 / `competitor_listing_gap_report` only when the first report needs deeper action detail. Internal links improve discovery only. Qualified forecast still requires accounted paid usage. ### Proof-focused buyer summary Built for mobile growth, indie app, and ASO teams who need to decide which app listing metadata and positioning gaps to fix before spending on paid acquisition. - Buy this when: A 20 minute ASO triage report that replaces the first manual competitor-listing pass. - Entry: $9 / `listing_snapshot_checklist` - $9 gives one target listing checklist with score, warnings, and next actions. - Premium: $29 / `competitor_listing_gap_report` - $29 compares the target against competitors and adds gap-backed rewrite suggestions. - Output promise: decision summary, score, three prioritized actions, source URLs, warnings, `chargedEvent`, `chargedUsd`, and `previewReport.nextRunInput`. - Safety: keep `maxChargeUsd` equal to the tier price. Demo, dry run, blocked/private sources, failed sources, and cap-limited runs are no-charge. - Not promised: rankings, revenue, conversion lift, sales lift, legal/procurement/financial advice, or private-source enrichment. Entry first-run input: ```json { "demoMode": false, "dryRun": false, "reportTier": "entry", "maxChargeUsd": 9, "maxReports": 1, "targetApp": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "competitorApps": [ "https://apps.apple.com/us/app/babbel-language-learning/id829587759", "https://play.google.com/store/apps/details?id=com.busuu.android" ], "country": "us", "language": "en", "seedKeywords": [ "language learning", "spanish lessons" ] } ```` Premium upgrade input: ```json { "demoMode": false, "dryRun": false, "reportTier": "premium", "maxChargeUsd": 29, "maxReports": 1, "targetApp": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "competitorApps": [ "https://apps.apple.com/us/app/babbel-language-learning/id829587759", "https://play.google.com/store/apps/details?id=com.busuu.android", "https://apps.apple.com/us/app/memrise-easy-language-learning/id635966718" ], "country": "us", "language": "en", "seedKeywords": [ "language learning", "spanish lessons" ] } ``` ### Next report-style Actors If you already have data from this Actor, these follow-on Actors turn public or user-provided inputs into decision-ready reports. They are optional, capped by `maxChargeUsd`, and do not make business outcome claims. - [App Release Review Regression Report](https://apify.com/taroyamada/app-release-review-regression-report) - turn public App Store and Google Play review signals into release regression and QA action reports. Create an action-ready listing improvement report from public App Store and Google Play metadata. This actor compares one target app against competitor listings and highlights metadata coverage, seed-keyword presence, positioning gaps, and prioritized listing edits. ### First-run quality and billing cue Start with demoMode or dryRun when you only want to inspect the output shape. For paid runs, use the entry report first, set maxChargeUsd as a hard cap, and move to premium only when you need comparison, recommendations, or a decision-ready action list. Pricing is controlled by the Apify Store listing, and `maxChargeUsd` should match the tier the buyer expects to run. ### Store Quickstart Start with one target app and 3-10 competitor app listings. You can use App Store URLs, numeric App Store IDs, Google Play URLs, or Android package names. ```json { "targetApp": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "competitorApps": [ "https://apps.apple.com/us/app/babbel-language-learning/id829587759", "https://apps.apple.com/us/app/busuu-language-learning/id379968583", "com.memrise.android.memrisecompanion" ], "country": "us", "language": "en", "seedKeywords": ["language learning", "spanish", "vocabulary"], "reportTier": "entry", "maxChargeUsd": 9, "dryRun": false } ``` ### What It Does For each run, the actor: 1. Fetches public App Store metadata via the iTunes Lookup API or public Google Play listing metadata. 2. Scores listing metadata coverage across title, description, category, icon, screenshots, rating, release notes/version, and pricing. 3. Checks buyer-provided seed keywords in listing metadata only. 4. Compares the target app against valid competitors. 5. Emits a prioritized action list and rewrite suggestions. This is a report actor, not a keyword-rank scraper. It does not scrape rankings, autocomplete, Apple Search Ads, App Store Connect, login-only dashboards, or paid ASO data. ### Pricing Events | Tier | Event | Price | Public status | |---|---|---:|---| | Entry | `listing_snapshot_checklist` | $9 | Public launch | | Premium | `competitor_listing_gap_report` | $29 | Public launch | For recurring checks, save a successful listing report input as an Apify task and keep `maxChargeUsd` aligned with the selected tier. ### Output Each dataset row includes: - `status`, `chargedEvent`, `chargedUsd`, and `reason` - `listingScore` and `metadataCoverageScore` - `keywordCoverage` - `competitorGaps` - `actionList` - `rewriteSuggestions` - `sourceUrls`, `confidence`, `errors`, and `recoveryHint` ### Next Actors - Use `app-release-review-regression-monitor` when you need release/review regression monitoring. - Use `app-review-cross-platform-intelligence` when you need cross-platform review themes. - Use `apple-app-store-intelligence` or `google-play-intelligence` when you need raw platform metadata and public review samples. # Actor input Schema ## `targetApp` (type: `string`): App Store URL/numeric ID or Google Play URL/package for the app you want to improve. ## `competitorApps` (type: `array`): Add 3-10 competitor App Store or Google Play listings for a paid competitor gap report. ## `country` (type: `string`): Two-letter country/storefront code. Used for public metadata requests only. ## `language` (type: `string`): Language code for Google Play listing pages. ## `seedKeywords` (type: `array`): Optional buyer-provided terms. The actor checks listing metadata coverage only; it does not scrape rankings, autocomplete, or search volume. ## `reportTier` (type: `string`): Choose entry or premium. Watch templates are proof-gated and not selectable during public launch. ## `maxChargeUsd` (type: `number`): Safety cap for this run. This cap always wins before charging any report group. ## `demoMode` (type: `boolean`): Return a no-charge preview and sample nextRunInput. ## `dryRun` (type: `boolean`): Set true to return a no-charge previewReport with nextRunInput and estimated cost. ## `maxReports` (type: `integer`): Advanced. Maximum report groups to charge; maxChargeUsd is still checked first. ## `sourceDatasetId` (type: `string`): Advanced only. Optional prepared input dataset. Not needed for the first run. ## `webhookUrl` (type: `string`): Advanced. Optional URL to receive results outside Apify. ## Actor input object example ```json { "targetApp": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "competitorApps": [ "https://apps.apple.com/us/app/babbel-language-learning/id829587759", "https://apps.apple.com/us/app/busuu-language-learning/id379968583", "com.memrise.android.memrisecompanion" ], "country": "us", "language": "en", "seedKeywords": [ "language learning", "spanish", "vocabulary" ], "reportTier": "entry", "maxChargeUsd": 9, "demoMode": false, "dryRun": false, "maxReports": 1, "sourceDatasetId": "", "webhookUrl": "" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/mobile-app-listing-gap-report").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("taroyamada/mobile-app-listing-gap-report").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call taroyamada/mobile-app-listing-gap-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/mobile-app-listing-gap-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store & Google Play Listing Gap Report", "description": "Compare public App Store and Google Play listing metadata against competitor apps and produce an action-ready listing improvement report.", "version": "0.1", "x-build-id": "MPUAXqSwgc7gGk1xB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~mobile-app-listing-gap-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-mobile-app-listing-gap-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~mobile-app-listing-gap-report/runs": { "post": { "operationId": "runs-sync-taroyamada-mobile-app-listing-gap-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~mobile-app-listing-gap-report/run-sync": { "post": { "operationId": "run-sync-taroyamada-mobile-app-listing-gap-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "targetApp" ], "properties": { "targetApp": { "title": "Target app URL, App Store ID, or package", "type": "string", "description": "App Store URL/numeric ID or Google Play URL/package for the app you want to improve.", "default": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128" }, "competitorApps": { "title": "Competitor app URLs, IDs, or packages", "type": "array", "description": "Add 3-10 competitor App Store or Google Play listings for a paid competitor gap report.", "default": [ "https://apps.apple.com/us/app/babbel-language-learning/id829587759", "https://apps.apple.com/us/app/busuu-language-learning/id379968583", "com.memrise.android.memrisecompanion" ], "items": { "type": "string" } }, "country": { "title": "Country/storefront", "type": "string", "description": "Two-letter country/storefront code. Used for public metadata requests only.", "default": "us" }, "language": { "title": "Language", "type": "string", "description": "Language code for Google Play listing pages.", "default": "en" }, "seedKeywords": { "title": "Seed keywords", "type": "array", "description": "Optional buyer-provided terms. The actor checks listing metadata coverage only; it does not scrape rankings, autocomplete, or search volume.", "default": [ "language learning", "spanish", "vocabulary" ], "items": { "type": "string" } }, "reportTier": { "title": "Report tier", "enum": [ "entry", "premium" ], "type": "string", "description": "Choose entry or premium. Watch templates are proof-gated and not selectable during public launch.", "default": "entry" }, "maxChargeUsd": { "title": "Max charge USD", "minimum": 0, "maximum": 100, "type": "number", "description": "Safety cap for this run. This cap always wins before charging any report group.", "default": 9 }, "demoMode": { "title": "Demo mode", "type": "boolean", "description": "Return a no-charge preview and sample nextRunInput.", "default": false }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "Set true to return a no-charge previewReport with nextRunInput and estimated cost.", "default": false }, "maxReports": { "title": "Advanced max reports", "minimum": 1, "maximum": 1, "type": "integer", "description": "Advanced. Maximum report groups to charge; maxChargeUsd is still checked first.", "default": 1 }, "sourceDatasetId": { "title": "Advanced source dataset ID", "type": "string", "description": "Advanced only. Optional prepared input dataset. Not needed for the first run.", "default": "" }, "webhookUrl": { "title": "Advanced webhook URL", "type": "string", "description": "Advanced. Optional URL to receive results outside Apify.", "default": "" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```