# Wildberries Scraper: Product search, catalog, and prices (`getascraper/wildberries-scraper`) Actor Scrape products, prices, brands, suppliers, ratings, review counts, discount percentages, and image URLs from Wildberries.ru using high-performance private APIs in under 10 seconds. Supports keyword searches and direct catalog links. - **URL**: https://apify.com/getascraper/wildberries-scraper.md - **Developed by:** [GetAScraper](https://apify.com/getascraper) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 product scrapeds 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 ### What does Wildberries Scraper do? Get current product listings from Wildberries.ru: brand, price in rubles, original retail price, discount percentage, supplier company name, aggregate rating, review counts, and high-resolution product image URLs, ready for your spreadsheet in under 10 seconds. This scraper connects directly to Wildberries' high-performance private APIs, making it incredibly fast and efficient. Built for e-commerce sellers, brand protection managers, price tracking dashboards, and market researchers. Скрейпер Wildberries позволяет быстро собирать товары с Wildberries.ru: бренды, цены в рублях, скидки, отзывы, рейтинги, названия продавцов и ссылки на изображения, готовые для вашей таблицы менее чем за 10 секунд. ### Why use Wildberries Scraper? - **I am an e-commerce seller** monitoring daily pricing, stock changes, and discount strategies of my competitors on Wildberries to optimize my own store's margins. - **I am a brand manager** tracking unauthorized distributors, copycats, and pricing violations across different regional warehouses. - **I am a market-research analyst** building weekly reports on consumer demand, average order values, and category trends in Russian e-commerce. - **I am a dropshipping entrepreneur** sourcing top-selling items on Wildberries to list on my own Shopify store. - **I am an AI developer** gathering structured retail listing data to train a product valuation and price-prediction model. ### How to use Wildberries Scraper 1. Create a free Apify account (no credit card needed). 2. Open the Wildberries Scraper in the Apify Console. 3. Type one or more product keywords (e.g. `iphone`, `планшеты`) or paste direct Wildberries category links. 4. Set optional filters for price ranges in rubles, minimum discount percentage, or target warehouse region. 5. Click **Start** and download your structured product catalog as CSV, Excel, or JSON. ### Input | Field | Type | Required | Description | | --- | --- | --- | --- | | `searchQueries` | array of strings | No | Keywords to search (e.g. `iphone`, `планшеты`). Leave blank if using direct Start URLs. | | `startUrls` | array of URLs | No | Direct category or brand links (e.g. `https://www.wildberries.ru/catalog/elektronika/planshety`). Overrides keywords. | | `lowPrice` | integer | No | Only include products priced at or above this value in rubles. 0 = no minimum. | | `topPrice` | integer | No | Only include products priced at or below this value in rubles. 0 = no maximum. | | `discount` | integer | No | Only include products offering a discount percentage equal to or greater than this value (0 to 100). | | `region` | enum | No | Select the geographical warehouse region to get localized prices: `MOSCOW` (default), `KRASNODAR`, `NOVOSIBIRSK`, `EKATERINBURGO`, `KAZAHSTAN`. | | `maxItems` | integer | No | Maximum number of products to output. Defaults to 100. | | `debugLogging` | boolean | No | Print detailed tags (FETCH, EMIT, PAGINATION) to the run log. Defaults to false. | | `proxyConfiguration` | object | Yes | Proxy options. Required. Shared proxy BUYPROXIES94952 or residential proxy is mandatory. | ### Output A structured dataset of products with prices, discount percentages, brands, ratings, and image URLs. Free users get up to 50 results per run, paid plans scale to 1,000,000. ```json { "productID": "585408655", "name": "Смартфон iPhone 17 256 ГБ, eSIM + eSIM, Black", "brand": "Apple", "price": 64493, "oldPrice": 105520, "discount": 39, "supplier": "BERGSHOP", "supplierId": 674947, "rating": 5, "feedbacks": 17, "imageUrl": "https://basket-05.wbbasket.ru/vol585/part58540/585408655/images/c516x688/1.webp", "productUrl": "https://www.wildberries.ru/catalog/585408655/detail.aspx", "scrapedAt": "2026-06-14T15:48:36.790Z" } ```` ### Data table | Field | Type | Description | | --- | --- | --- | | `productID` | string | Unique Wildberries product NM-ID. | | `name` | string | Full product display title. | | `brand` | string | Product brand name. | | `price` | number | Current bidded or discounted price in Rubles. | | `oldPrice` | number | Original retail price before discount in Rubles. | | `discount` | number | Discount percentage value. | | `supplier` | string | Seller or supplier company name. | | `supplierId` | number | Unique identifier of the seller. | | `rating` | number | Aggregate product rating out of 5 stars. | | `feedbacks` | number | Total number of user text reviews. | | `imageUrl` | string | Primary product image URL. | | `productUrl` | string | Canonical link to the item detail page. | | `scrapedAt` | string | ISO 8601 timestamp of when the row was scraped. | ### Pricing The Actor costs **$4.99 per 1,000 results**. A typical run extracting 500 items costs about $2.50. Because the scraper connects directly to Wildberries private REST endpoints instead of launching heavy browsers, proxy bandwidth consumption is extremely low, keeping your total costs at the absolute minimum. ### Tips or advanced options - **No browser overhead.** Because this scraper connects directly to Wildberries private backend catalog APIs, it does not launch Chrome or execute heavy scripts. This makes it 100x faster than browser-based scrapers. - **Select the correct warehouse region.** Wildberries prices and stock levels vary by warehouse location. Use the `region` parameter (Moscow, Krasnodar, Novosibirsk, Urals, Kazakhstan) to target the exact geolocated pricing you need. - **Filter before downloading.** Use the `lowPrice`, `topPrice`, and `discount` parameters to filter results during extraction. This ensures you only pay for highly relevant leads. - **Direct category links work instantly.** By pasting direct category URLs into `startUrls`, the scraper automatically maps the web path to its internal API database shard and queries the exact product grid in parallel. ### FAQ, disclaimers, and support ##### Is the Wildberries scraper legal? Yes. The Wildberries scraper accesses public catalog and search data that is publicly visible to any logged-out human in a browser. It does not require customer login, place automated orders, or bypass paywalls. You are responsible for compliance with Wildberries terms of service and local laws. ##### Why does this scraper require proxies? Wildberries rate-limits direct datacenter IP addresses aggressively. To ensure reliable, high-performance extraction and bypass rate blocks, proxies are required. We recommend enabling Apify's custom proxy group BUYPROXIES94952 or any residential proxy in the Advanced run parameters. ##### Can I track regional warehouse prices? Yes. By picking the appropriate `region` in the input panel, the scraper automatically updates the destination ID query parameter (`dest`) to fetch exact, localized pricing and stock availability from Moscow, Krasnodar, Novosibirsk, Urals, or Kazakhstan. ##### Which categories are supported? All public Wildberries categories (Electronics, Fashion, Home Decor, Beauty, Accessories, etc.) are supported. You can search by keyword or paste any catalog page link directly. **Disclaimer:** This Actor accesses public web listing data only. It does not bypass authentication, paywalls, or anti-bot systems on the live site. Wildberries is the registered trademark of Wildberries, LLC. This Actor is affiliation-free, and not endorsed or sponsored by Wildberries, LLC. # Actor input Schema ## `searchQueries` (type: `array`): Russian or English product keywords (e.g. 'iphone', 'планшеты'). Leave empty if using direct Start URLs. ## `startUrls` (type: `array`): Direct category, brand, or search URLs (e.g. 'https://www.wildberries.ru/catalog/elektronika/planshety'). Overrides queries. ## `lowPrice` (type: `integer`): Only include products priced at or above this ruble value. 0 = no minimum. ## `topPrice` (type: `integer`): Only include products priced at or below this ruble value. 0 = no maximum. ## `discount` (type: `integer`): Only include items offering a discount percentage equal to or greater than this value. ## `region` (type: `string`): Select the target warehouse region to fetch localized inventory pricing and availability. ## `maxItems` (type: `integer`): Maximum number of products to return (0 = unlimited). Defaults to 100. ## `debugLogging` (type: `boolean`): Print granular tracing tags (WAYBACK-CDX, FETCH, EMIT) to the run logs. ## `proxyConfiguration` (type: `object`): Proxy options. Required. Datacenter shared proxy BUYPROXIES94952 or residential proxy is mandatory. ## Actor input object example ```json { "searchQueries": [ "iphone" ], "startUrls": [], "lowPrice": 0, "topPrice": 0, "discount": 0, "region": "MOSCOW", "maxItems": 100, "debugLogging": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } } ``` # Actor output Schema ## `results` (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 = { "searchQueries": [ "iphone" ], "startUrls": [], "lowPrice": 0, "topPrice": 0, "discount": 0, "region": "MOSCOW", "maxItems": 100, "debugLogging": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getascraper/wildberries-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 = { "searchQueries": ["iphone"], "startUrls": [], "lowPrice": 0, "topPrice": 0, "discount": 0, "region": "MOSCOW", "maxItems": 100, "debugLogging": False, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["BUYPROXIES94952"], }, } # Run the Actor and wait for it to finish run = client.actor("getascraper/wildberries-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 '{ "searchQueries": [ "iphone" ], "startUrls": [], "lowPrice": 0, "topPrice": 0, "discount": 0, "region": "MOSCOW", "maxItems": 100, "debugLogging": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }' | apify call getascraper/wildberries-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getascraper/wildberries-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wildberries Scraper: Product search, catalog, and prices", "description": "Scrape products, prices, brands, suppliers, ratings, review counts, discount percentages, and image URLs from Wildberries.ru using high-performance private APIs in under 10 seconds. Supports keyword searches and direct catalog links.", "version": "0.1", "x-build-id": "T8If42sgBki4aCT84" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getascraper~wildberries-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getascraper-wildberries-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getascraper~wildberries-scraper/runs": { "post": { "operationId": "runs-sync-getascraper-wildberries-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getascraper~wildberries-scraper/run-sync": { "post": { "operationId": "run-sync-getascraper-wildberries-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Russian or English product keywords (e.g. 'iphone', 'планшеты'). Leave empty if using direct Start URLs.", "default": [ "iphone" ] }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct category, brand, or search URLs (e.g. 'https://www.wildberries.ru/catalog/elektronika/planshety'). Overrides queries.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "lowPrice": { "title": "Min price (RUB)", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Only include products priced at or above this ruble value. 0 = no minimum.", "default": 0 }, "topPrice": { "title": "Max price (RUB)", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Only include products priced at or below this ruble value. 0 = no maximum.", "default": 0 }, "discount": { "title": "Min discount (%)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only include items offering a discount percentage equal to or greater than this value.", "default": 0 }, "region": { "title": "Warehouse region", "enum": [ "MOSCOW", "KRASNODAR", "NOVOSIBIRSK", "EKATERINBURGO", "KAZAHSTAN" ], "type": "string", "description": "Select the target warehouse region to fetch localized inventory pricing and availability.", "default": "MOSCOW" }, "maxItems": { "title": "Maximum results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of products to return (0 = unlimited). Defaults to 100.", "default": 100 }, "debugLogging": { "title": "Verbose debug logs", "type": "boolean", "description": "Print granular tracing tags (WAYBACK-CDX, FETCH, EMIT) to the run logs.", "default": false }, "proxyConfiguration": { "title": "Proxy setup", "type": "object", "description": "Proxy options. Required. Datacenter shared proxy BUYPROXIES94952 or residential proxy is mandatory.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } } } }, "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 } } } } } } } } } } ```