# App Store Localization Gaps — Geo-Arbitrage Finder (`agency-shift/appstore-localization-gaps`) Actor Find apps in the App Store that haven't been localized for specific markets. Identify geo-arbitrage opportunities for app developers, translators, and ASO specialists. - **URL**: https://apify.com/agency-shift/appstore-localization-gaps.md - **Developed by:** [Valdeir Lima](https://apify.com/agency-shift) (community) - **Categories:** Developer tools, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 # Actor input Schema ## `mode` (type: `string`): search = find apps by niche; lookup = details for given app IDs; reviews = pull country reviews. ## `searchTerm` (type: `string`): Niche to research (e.g. 'habit tracker', 'meditation'). Used in search mode. ## `country` (type: `string`): ISO country of the source store (us, gb, ...). Leave 'us' to find US winners. ## `maxResults` (type: `integer`): Max apps to return in search mode (max 200). ## `appIds` (type: `array`): iTunes app IDs for lookup/reviews mode (e.g. '337472899'). ## `checkLanguage` (type: `string`): ISO language to check (de, fr, es, it). Apps NOT supporting it are flagged missingLanguage=true. ## `includeReviews` (type: `boolean`): Also pull reviews for each app found (slower). ## `reviewCountry` (type: `string`): Country to fetch reviews from (e.g. search US apps, read DE reviews). Defaults to checkLanguage's market. ## `reviewPages` (type: `integer`): Pages of reviews per app (1 page ~50 reviews, max 10). ## `filterKeywords` (type: `array`): Only keep reviews containing these words (e.g. 'translate','german','language'). ## Actor input object example ```json { "mode": "search", "searchTerm": "habit tracker", "country": "us", "maxResults": 50, "appIds": [], "checkLanguage": "de", "includeReviews": false, "reviewPages": 3, "filterKeywords": [] } ```` # 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 = { "searchTerm": "habit tracker", "country": "us", "checkLanguage": "de" }; // Run the Actor and wait for it to finish const run = await client.actor("agency-shift/appstore-localization-gaps").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 = { "searchTerm": "habit tracker", "country": "us", "checkLanguage": "de", } # Run the Actor and wait for it to finish run = client.actor("agency-shift/appstore-localization-gaps").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 '{ "searchTerm": "habit tracker", "country": "us", "checkLanguage": "de" }' | apify call agency-shift/appstore-localization-gaps --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agency-shift/appstore-localization-gaps", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Localization Gaps — Geo-Arbitrage Finder", "description": "Find apps in the App Store that haven't been localized for specific markets. Identify geo-arbitrage opportunities for app developers, translators, and ASO specialists.", "version": "0.0", "x-build-id": "OsxXQ7rDZlb9iDfkW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agency-shift~appstore-localization-gaps/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agency-shift-appstore-localization-gaps", "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/agency-shift~appstore-localization-gaps/runs": { "post": { "operationId": "runs-sync-agency-shift-appstore-localization-gaps", "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/agency-shift~appstore-localization-gaps/run-sync": { "post": { "operationId": "run-sync-agency-shift-appstore-localization-gaps", "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": [ "mode" ], "properties": { "mode": { "title": "Operation mode", "enum": [ "search", "lookup", "reviews" ], "type": "string", "description": "search = find apps by niche; lookup = details for given app IDs; reviews = pull country reviews.", "default": "search" }, "searchTerm": { "title": "Search keyword", "type": "string", "description": "Niche to research (e.g. 'habit tracker', 'meditation'). Used in search mode." }, "country": { "title": "Source App Store country", "type": "string", "description": "ISO country of the source store (us, gb, ...). Leave 'us' to find US winners.", "default": "us" }, "maxResults": { "title": "Max apps", "minimum": 1, "maximum": 200, "type": "integer", "description": "Max apps to return in search mode (max 200).", "default": 50 }, "appIds": { "title": "App IDs", "type": "array", "description": "iTunes app IDs for lookup/reviews mode (e.g. '337472899').", "default": [], "items": { "type": "string" } }, "checkLanguage": { "title": "Language gap to flag", "type": "string", "description": "ISO language to check (de, fr, es, it). Apps NOT supporting it are flagged missingLanguage=true." }, "includeReviews": { "title": "Auto-extract reviews in search", "type": "boolean", "description": "Also pull reviews for each app found (slower).", "default": false }, "reviewCountry": { "title": "Reviews country override", "type": "string", "description": "Country to fetch reviews from (e.g. search US apps, read DE reviews). Defaults to checkLanguage's market." }, "reviewPages": { "title": "Review pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Pages of reviews per app (1 page ~50 reviews, max 10).", "default": 3 }, "filterKeywords": { "title": "Filter reviews by keywords", "type": "array", "description": "Only keep reviews containing these words (e.g. 'translate','german','language').", "default": [], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```