# Wildberries Rank & Position Tracker (`sashaebashu/wildberries-rank-tracker`) Actor Track product positions in Wildberries search by keyword, and monitor competitor prices, ratings, and reviews. No login. - **URL**: https://apify.com/sashaebashu/wildberries-rank-tracker.md - **Developed by:** [Sasha Ebashu](https://apify.com/sashaebashu) (community) - **Categories:** E-commerce, Other, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results 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 ## Wildberries Price & Rank Scraper **Wildberries scraper** for competitor prices, price history, and search rankings — no login, no seller API key. Two modes in one actor. ### What does this Wildberries scraper do? **Price mode** — give it **article numbers (nmId)** and get each product's **current price, full price history, brand, category, and name**. Track your own SKUs or your competitors' over time. **Search/Rank mode** — give it **keywords** and get the exact **search position** of any product, plus the **price, rating, and review count** of every competitor in the results. Run it on a schedule to watch prices and rankings move day by day. Built on public Wildberries endpoints, it runs fine on standard Apify Proxy (no residential proxies required) and exports to **JSON, CSV, Excel, or Google Sheets**. ### Why use it? - **Track your search rank** for the keywords that matter — organic and promoted. - **Monitor competitor prices and ratings** in the same run (every product in the results comes with price, rating, and review count). - **Spot movement** — schedule daily runs and chart how your position changes. - **No login** — you never share your seller account or API keys. ### How to use it 1. Add one or more **keywords**. 2. (Optional) Add the **article numbers (nmId)** you want to track. Leave empty to collect the full ranking for each keyword. 3. Set the **region** and **search depth** (pages × 100 products). 4. Run it, then download the results or pull them via API. ### Input | Field | Description | |---|---| | `nmIds` | **Price mode:** article numbers to fetch price + history for. Works on its own. | | `keywords` | **Search mode:** search queries to check (one per line). | | `targetNmIds` | Search mode: article numbers whose rank to track. Empty = whole ranking. | | `dest` | Region code. Default `-1257786` (Moscow). | | `sort` | Sort order for search results. | | `maxPages` | Search depth; 10 = top 1000 products. | | `maxItems` | Cap on output rows (0 = unlimited). | | `proxyConfiguration` | Apify Proxy (datacenter is enough). | Provide `nmIds`, `keywords`, or both. ### Output Each row contains: | Field | Description | |---|---| | `keyword` | The search query. | | `nmId` | Wildberries article number. | | `position` | Rank in search (1 = top). | | `page` / `positionOnPage` | Where it sat in pagination. | | `price` | Current price, ₽. | | `rating` | Product rating. | | `feedbacks` | Number of reviews. | | `brand` / `supplier` | Brand and seller. | | `productUrl` | Direct link to the product card. | | `scrapedAt` | Timestamp of the run. | **Price mode** rows add: `currentPrice`, `minPrice`, `maxPrice`, `priceHistory` (date + price points), `brand`, `category`, and `vendorCode`. You can download the dataset as JSON, CSV, Excel, or HTML, or fetch it via the Apify API. ### Tips - For daily rank tracking, set `targetNmIds`, a small `maxPages` (e.g. 10–20), and schedule the run. - Rank can differ by region — change `dest` to track another city. ### Notes & disclaimer This actor collects only publicly available search data. It does not access seller dashboards, private sales, or stock figures. Respect Wildberries' Terms of Service and your local regulations. Found a bug or need a field added? Open an issue. # Actor input Schema ## `keywords` (type: `array`): Search queries to check (one per line). Example: носки, кроссовки мужские. ## `targetNmIds` (type: `array`): For SEARCH mode: article numbers (nmId) whose position you want to track for the keywords above. Leave empty to collect the full ranking for each keyword. ## `nmIds` (type: `array`): PRICE mode: article numbers (nmId) to fetch current price, full price history, brand, and product name directly — no keyword needed. Works on its own. ## `categoryUrls` (type: `array`): CATEGORY mode: Wildberries category page URLs (e.g. https://www.wildberries.ru/catalog/zhenshchinam/odezhda/bryuki-i-shorty) to export the full product listing with prices, ratings and reviews. ## `dest` (type: `integer`): Wildberries delivery region code. Default -1257786 is Moscow (verified). Search ranking can differ by region. ## `sort` (type: `string`): How Wildberries sorts the search results before positions are read. ## `maxPages` (type: `integer`): How many search pages to scan per keyword (100 products per page). 10 = top 1000. ## `maxItems` (type: `integer`): Stop after this many rows (0 = unlimited). Helps control cost. ## `maxConcurrency` (type: `integer`): How many requests run in parallel. Each request uses a fresh rotating IP, so higher = faster without hammering one IP. Lower it if you hit blocks. ## `proxyConfiguration` (type: `object`): Apify Proxy (datacenter) is enough for this endpoint — no residential needed. ## Actor input object example ```json { "keywords": [ "носки", "кроссовки мужские" ], "targetNmIds": [], "nmIds": [], "categoryUrls": [], "dest": -1257786, "sort": "popular", "maxPages": 10, "maxItems": 0, "maxConcurrency": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `details` (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 = { "keywords": [ "носки", "кроссовки мужские" ], "targetNmIds": [], "nmIds": [], "categoryUrls": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sashaebashu/wildberries-rank-tracker").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 = { "keywords": [ "носки", "кроссовки мужские", ], "targetNmIds": [], "nmIds": [], "categoryUrls": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sashaebashu/wildberries-rank-tracker").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 '{ "keywords": [ "носки", "кроссовки мужские" ], "targetNmIds": [], "nmIds": [], "categoryUrls": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sashaebashu/wildberries-rank-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sashaebashu/wildberries-rank-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wildberries Rank & Position Tracker", "description": "Track product positions in Wildberries search by keyword, and monitor competitor prices, ratings, and reviews. No login.", "version": "0.1", "x-build-id": "wXM6xMl3xowiNKI8I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sashaebashu~wildberries-rank-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sashaebashu-wildberries-rank-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sashaebashu~wildberries-rank-tracker/runs": { "post": { "operationId": "runs-sync-sashaebashu-wildberries-rank-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sashaebashu~wildberries-rank-tracker/run-sync": { "post": { "operationId": "run-sync-sashaebashu-wildberries-rank-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "Search queries to check (one per line). Example: носки, кроссовки мужские.", "items": { "type": "string" } }, "targetNmIds": { "title": "Article numbers to track in search (nmId)", "type": "array", "description": "For SEARCH mode: article numbers (nmId) whose position you want to track for the keywords above. Leave empty to collect the full ranking for each keyword.", "items": { "type": "string" } }, "nmIds": { "title": "Article numbers for price & history (nmId)", "type": "array", "description": "PRICE mode: article numbers (nmId) to fetch current price, full price history, brand, and product name directly — no keyword needed. Works on its own.", "items": { "type": "string" } }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "CATEGORY mode: Wildberries category page URLs (e.g. https://www.wildberries.ru/catalog/zhenshchinam/odezhda/bryuki-i-shorty) to export the full product listing with prices, ratings and reviews.", "items": { "type": "string" } }, "dest": { "title": "Region (dest code)", "type": "integer", "description": "Wildberries delivery region code. Default -1257786 is Moscow (verified). Search ranking can differ by region.", "default": -1257786 }, "sort": { "title": "Sort order", "enum": [ "popular", "rate", "priceup", "pricedown", "newly" ], "type": "string", "description": "How Wildberries sorts the search results before positions are read.", "default": "popular" }, "maxPages": { "title": "Search depth (pages)", "minimum": 1, "maximum": 60, "type": "integer", "description": "How many search pages to scan per keyword (100 products per page). 10 = top 1000.", "default": 10 }, "maxItems": { "title": "Max output rows", "minimum": 0, "type": "integer", "description": "Stop after this many rows (0 = unlimited). Helps control cost.", "default": 0 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many requests run in parallel. Each request uses a fresh rotating IP, so higher = faster without hammering one IP. Lower it if you hit blocks.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy (datacenter) is enough for this endpoint — no residential needed." } } }, "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 } } } } } } } } } } ```