# Wildberries Product Scraper (`xtracto/wildberries-product-scraper`) Actor Search Wildberries (Russia's largest marketplace) by keyword — product name, brand, seller, price, rating, and reviews count. No login. - **URL**: https://apify.com/xtracto/wildberries-product-scraper.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Product Scraper Search **Wildberries** (Russia's largest online marketplace) by keyword and collect products — name, brand, seller, price, rating, and number of reviews. No account or login required. ### Why use this actor - **No login needed** — public catalog search. - **Keyword search** — one or many terms per run, in the region you choose. - **Key product data** — name, brand, seller, sale & base price (₽), rating, and reviews count. - **High volume** — millions of products across the catalog. - **Reliable** — automatically rotates proxy addresses to get past Wildberries' rate limits. - **Stable JSON output** — ready for price tracking, brand monitoring, or market research. ### How it works 1. Enter one or more **search terms** and (optionally) a **region code**. 2. The actor pages through the search results, switching proxy addresses as needed to avoid rate limits. 3. Each product becomes one row — JSON, CSV, or Excel. A proxy is required (Wildberries limits how fast a single address can request); a rotating pool is set by default. ### Use cases - **Price & assortment monitoring** — track prices and availability for a product or brand. - **Brand / seller analysis** — which sellers offer a product, at what price and rating. - **Market research** — demand signals (ratings, reviews) by category. ### Input ```json { "queries": ["iphone"], "dest": "-1257786", "maxItemsPerQuery": 0, "maxItems": 200, "maxPagesPerQuery": 50, "ipAttemptsPerPage": 6, "proxyConfiguration": { "useApifyProxy": true } } ```` | Field | Type | Description | |---|---|---| | `queries` | array | Search terms. | | `dest` | string | Region code (default `-1257786` = Moscow). | | `maxItemsPerQuery` | integer | Cap per term. `0` = all. | | `maxItems` | integer | Overall cap. `0` = no limit. Default `200`. | | `maxPagesPerQuery` | integer | Page cap (~100 products/page). | | `ipAttemptsPerPage` | integer | Fresh proxy IPs to try per page when rate-limited. Default `6`. | | `proxyConfiguration` | object | Proxy required (rotating pool recommended). | ### Output One record per product: ```json { "_input": "wb:iphone", "_scrapedAt": "2026-06-17T19:00:00Z", "recordType": "PRODUCT", "id": 123456789, "url": "https://www.wildberries.ru/catalog/123456789/detail.aspx", "name": "Смартфон iPhone 15 128GB", "brand": "Apple", "brandId": 6049, "supplier": "...", "supplierId": 12345, "supplierRating": 4.8, "salePrice": 74990, "basicPrice": 99990, "currency": "RUB", "rating": 4.9, "feedbacks": 1234, "totalQuantity": 57, "subjectId": 515, "subjectParentId": 438 } ``` | Field | Type | Description | |---|---|---| | `id` / `url` | mixed | Product ID and page link. | | `name` / `brand` / `brandId` | mixed | Product name and brand. | | `supplier` / `supplierId` / `supplierRating` | mixed | Seller. | | `salePrice` / `basicPrice` / `currency` | mixed | Current and base price (₽). | | `rating` / `feedbacks` | number | Rating and reviews count. | | `totalQuantity` | number | Stock across sizes. | Queries that get throttled on every IP attempt return an `_error` record, so nothing fails silently. ### Notes - A proxy is required — Wildberries rate-limits a single address; the actor rotates IPs per page. - Use `dest` to price for a specific region; `maxPagesPerQuery` to control depth. # Actor input Schema ## `queries` (type: `array`): Keywords to search on Wildberries, e.g. iphone, кроссовки, платье. ## `dest` (type: `string`): Wildberries region/destination code. Default -1257786 (Moscow). Other examples: -1123300 (St. Petersburg). ## `maxItemsPerQuery` (type: `integer`): Cap products collected per search term. 0 = all (up to the page limit). ## `maxItems` (type: `integer`): Overall cap across all queries. 0 = no limit. ## `maxPagesPerQuery` (type: `integer`): Wildberries returns ~100 products per page. Safety cap. ## `ipAttemptsPerPage` (type: `integer`): Wildberries rate-limits a single IP, so each page retries on fresh proxy IPs until one works. Higher = more reliable. ## `maxConcurrency` (type: `integer`): How many search terms to process in parallel. ## `proxyConfiguration` (type: `object`): Proxy is REQUIRED (Wildberries throttles a single IP). A rotating pool works best. ## Actor input object example ```json { "queries": [ "iphone" ], "dest": "-1257786", "maxItemsPerQuery": 0, "maxItems": 200, "maxPagesPerQuery": 50, "ipAttemptsPerPage": 6, "maxConcurrency": 2, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "queries": [ "iphone" ], "dest": "-1257786" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/wildberries-product-scraper").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 = { "queries": ["iphone"], "dest": "-1257786", } # Run the Actor and wait for it to finish run = client.actor("xtracto/wildberries-product-scraper").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 '{ "queries": [ "iphone" ], "dest": "-1257786" }' | apify call xtracto/wildberries-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/wildberries-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wildberries Product Scraper", "description": "Search Wildberries (Russia's largest marketplace) by keyword — product name, brand, seller, price, rating, and reviews count. No login.", "version": "0.1", "x-build-id": "ouc65gRPir0GPeNFu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~wildberries-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-wildberries-product-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~wildberries-product-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-wildberries-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~wildberries-product-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-wildberries-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search terms", "type": "array", "description": "Keywords to search on Wildberries, e.g. iphone, кроссовки, платье.", "items": { "type": "string" } }, "dest": { "title": "Region (dest code)", "type": "string", "description": "Wildberries region/destination code. Default -1257786 (Moscow). Other examples: -1123300 (St. Petersburg).", "default": "-1257786" }, "maxItemsPerQuery": { "title": "Max products per query (0 = all)", "minimum": 0, "type": "integer", "description": "Cap products collected per search term. 0 = all (up to the page limit).", "default": 0 }, "maxItems": { "title": "Max products total (0 = all)", "minimum": 0, "type": "integer", "description": "Overall cap across all queries. 0 = no limit.", "default": 200 }, "maxPagesPerQuery": { "title": "Max pages per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Wildberries returns ~100 products per page. Safety cap.", "default": 50 }, "ipAttemptsPerPage": { "title": "IP attempts per page", "minimum": 1, "maximum": 15, "type": "integer", "description": "Wildberries rate-limits a single IP, so each page retries on fresh proxy IPs until one works. Higher = more reliable.", "default": 6 }, "maxConcurrency": { "title": "Max concurrent queries", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many search terms to process in parallel.", "default": 2 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy is REQUIRED (Wildberries throttles a single IP). A rotating pool works best.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```