# Naver Plus Store Rank Tracker (`battery/naver-plusstore-find-rank`) Actor Find a product's rank in Naver Plus Store results for a keyword, scanning up to 300 products. - **URL**: https://apify.com/battery/naver-plusstore-find-rank.md - **Developed by:** [Battery](https://apify.com/battery) (community) - **Categories:** E-commerce, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 product rank checks 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Naver Plus Store Rank Tracker finds a target product's position for a Korean shopping keyword. Check one channel product ID across up to 300 public Plus Store results without manually paging through the search interface. ### What does Naver Plus Store Rank Tracker do? Enter a keyword and the target product ID. The Actor scans Naver Plus Store results and returns the product's overall rank, page position, and public shopping fields. If the target is not present within the scan depth, the result clearly reports `found: false`. ### Input | Field | Required | Default | Description | | --- | --- | --- | --- | | `query` | Yes | - | Shopping keyword to check. | | `productId` | Yes | - | Target Naver channel product ID. | | `maxSearch` | No | `100` | Maximum products to scan, up to 300. | | `failOnError` | No | `false` | Stop the run instead of returning an error record. | ```json { "query": "무선 이어폰", "productId": "1234567890", "maxSearch": 100 } ```` ### Output example ```json { "httpStatus": 200, "success": true, "data": { "found": true, "rank": 23, "pageNumber": 2, "rankInPage": 3, "totalSearched": 40, "query": "무선 이어폰", "product": { "channelProductId": "1234567890", "productName": "Example Wireless Earbuds", "salePrice": 59000, "totalReviewCount": 820, "averageReviewScore": 4.8, "isFreeDelivery": true } } } ``` ### Pricing Pricing is based on each product rank check. Actor compute and Korean residential network usage are included in the displayed price. `maxSearch` controls the maximum scan depth. ### Rank-tracking tips - Use the same keyword and scan depth for comparable historical data. - Schedule recurring checks and store the results in your own time series. - Confirm that `productId` is the Naver channel product ID. ### Related Naver Shopping Actors - [Naver Shopping Search & Product Matcher](https://apify.com/jeonju9734/naver-smartstore-product-search) - [Naver Smart Store Product Detail](https://apify.com/jeonju9734/naver-smartstore-product-info) - [Naver Smart Store Product List](https://apify.com/jeonju9734/naver-smartstore-product-info-list) ### Is this an official Naver ranking tool? No. This Actor is unofficial and is not affiliated with or endorsed by Naver. Product rankings can change with time, query context, and Naver's own systems. # Actor input Schema ## `query` (type: `string`): Search query. ## `productId` (type: `string`): Naver Shopping product ID to find. ## `maxSearch` (type: `integer`): Maximum results to scan. ## `failOnError` (type: `boolean`): Fail on crawler error. ## Actor input object example ```json { "query": "아이폰", "productId": "11293183730", "maxSearch": 10, "failOnError": false } ``` # Actor output Schema ## `results` (type: `string`): No description ## `output` (type: `string`): No description # 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 = { "query": "아이폰", "productId": "11293183730", "maxSearch": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("battery/naver-plusstore-find-rank").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 = { "query": "아이폰", "productId": "11293183730", "maxSearch": 10, } # Run the Actor and wait for it to finish run = client.actor("battery/naver-plusstore-find-rank").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 '{ "query": "아이폰", "productId": "11293183730", "maxSearch": 10 }' | apify call battery/naver-plusstore-find-rank --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=battery/naver-plusstore-find-rank", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver Plus Store Rank Tracker", "description": "Find a product's rank in Naver Plus Store results for a keyword, scanning up to 300 products.", "version": "0.1", "x-build-id": "LhU6E9ZDfABR8g2SE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/battery~naver-plusstore-find-rank/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-battery-naver-plusstore-find-rank", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/battery~naver-plusstore-find-rank/runs": { "post": { "operationId": "runs-sync-battery-naver-plusstore-find-rank", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/battery~naver-plusstore-find-rank/run-sync": { "post": { "operationId": "run-sync-battery-naver-plusstore-find-rank", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query", "productId" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Search query." }, "productId": { "title": "Target product ID", "type": "string", "description": "Naver Shopping product ID to find." }, "maxSearch": { "title": "Maximum results to scan", "minimum": 1, "maximum": 300, "type": "integer", "description": "Maximum results to scan.", "default": 100 }, "failOnError": { "title": "Fail on crawler error", "type": "boolean", "description": "Fail on crawler error.", "default": false } } }, "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 } } } } } } } } } } ```