# Wildberries Listings Scraper (`piotrv1001/wildberries-listings-scraper`) Actor The Wildberries Listings Scraper extracts product listings and enriched profiles from Wildberries category and search pages, capturing names, brands, sellers, prices, discounts, stock, ratings, sizes, descriptions, characteristics, images, and reviews — ideal for price tracking and market research. - **URL**: https://apify.com/piotrv1001/wildberries-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 4 total users, 3 monthly users, 70.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 product listings 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 Listings Scraper Easily extract product listings from **[Wildberries](https://www.wildberries.ru)** — the largest e-commerce marketplace in Russia and the CIS. The **Wildberries Listings Scraper** gathers structured product data — prices, stock, ratings, sellers, full descriptions, characteristics, images and customer reviews — for market research, price tracking and competitor analysis. It reads Wildberries' own public JSON API directly, so it's fast and reliable with no browser required. ### ✨ Features - 🏷️ **Comprehensive Product Data**: Retrieve product titles, brands, sellers, prices, discounts, stock, ratings, sizes, colors and images. - 🔍 **Two Ways to Scrape**: Provide Wildberries category page URLs or free-text search queries. - 📝 **Optional Deep Enrichment**: Pull full descriptions, characteristics (specs) and category taxonomy per product. - ⭐ **Optional Reviews**: Collect customer reviews with rating, text, author and date. - ⚡ **Fast & Efficient**: Pure JSON API access — hundreds of products per request, no headless browser. - 🌍 **Region-Aware Pricing**: Target prices and availability for a specific delivery region. ### 🛠️ How It Works 1. **Enter Category URLs or Search Queries** – Provide Wildberries category page URLs (e.g. `https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki`) and/or keywords like `iphone`. 2. **Choose Your Depth** – Toggle **Scrape Product Details** and **Scrape Reviews** depending on how rich you need the data. 3. **Run the Scraper** – Start the process and receive structured product data instantly. 4. **Export** – Download the dataset as JSON, CSV, Excel or HTML, or pull it via the Apify API. ### 📥 Input | Field | Type | Description | | ---------------------- | ------- | -------------------------------------------------------------------------------------------- | | `categoryUrls` | array | Wildberries category page URLs to scrape. | | `searchQueries` | array | Free-text keywords to scrape from Wildberries search. | | `maxItems` | integer | Maximum products to store (`0` = unlimited, up to the ~10,000-per-list cap). Default `50`. | | `enrichDetails` | boolean | Fetch full product card: description, characteristics, category and images. Default `false`. | | `scrapeReviews` | boolean | Fetch customer reviews per product. Default `false`. | | `maxReviewsPerProduct` | integer | Reviews stored per product when reviews are enabled. Default `20`. | | `dest` | string | Delivery region id — prices and stock vary by region. Default targets the Moscow region. | | `sort` | string | Result ordering: popularity, rating, price, newest or best deal. | | `maxPagesPerList` | integer | Cap on listing pages per category/search (Wildberries serves ~100 max). | | `proxyConfiguration` | object | Proxy settings. Apify `RESIDENTIAL` proxies in country `RU` are recommended. | You must provide at least one of `categoryUrls` or `searchQueries`. ### 📊 Sample Output Data The scraper provides structured JSON output with key product details. Example: ```json [ { "id": 546061442, "url": "https://www.wildberries.ru/catalog/546061442/detail.aspx", "name": "iPhone 17 Pro Max 256GB SIM+eSIM Silver", "brand": "Apple", "supplier": "ООО Технопарк", "supplierRating": 4.8, "rating": 4.9, "reviewsCount": 1588, "priceBasic": 148100, "priceSale": 114925, "currency": "RUB", "inStock": true, "totalQuantity": 54, "colors": ["серебристый"], "sizes": [{ "name": "256 ГБ", "inStock": true }], "picsCount": 5, "category": "Смартфоны", "categoryRoot": "Смартфоны и гаджеты", "vendorCode": "iPhone 17 Pro Max 256GB Silver", "description": "...", "characteristics": [{ "name": "Объём встроенной памяти", "value": "256 ГБ" }], "imageUrls": ["https://basket-28.wbbasket.ru/vol5460/part546061/546061442/images/big/1.webp"], "reviews": [{ "rating": 5, "text": "Оригинал", "author": "Евгений", "date": "2026-05-31T18:25:56Z" }], "source": "search:iphone", "scrapedAt": "2026-06-03T12:00:00.000Z" } ] ```` ### 💰 Pricing This Actor uses Apify's **pay-per-event** pricing, so you only pay for the depth of data you actually collect — there is **no per-run start fee**. | Event | Price (USD) | When it fires | What you get | | ----------------- | ----------- | ---------------------------------------------------------------- | ------------------------------------------------------------------- | | `product-listing` | **$0.001** | Once per product found in a category/search listing | Shallow data: price, discount, stock, rating, seller, sizes, colors | | `item-detail` | **$0.004** | Once per product when **Scrape Product Details** is on | Description, characteristics, image URLs and category | | `product-reviews` | **$0.003** | Once per product when **Scrape Reviews** is on and reviews exist | Customer reviews: rating, text, author, date | **Example run costs (50 products):** - Default — prices only (`enrichDetails: false`): **$0.05** - Prices + specs + images (`enrichDetails: true`): **$0.25** - Full — including reviews: **$0.40** A base run only charges the cheap `product-listing` event, keeping large-scale price monitoring inexpensive. Enrichment and reviews are billed strictly for the work performed (reviews aren't charged when a product has none). Optimize your Wildberries market research with the **Wildberries Listings Scraper** today! 🚀 # Actor input Schema ## `categoryUrls` (type: `array`): Wildberries category page URLs to scrape (e.g. https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki). Each URL is resolved against the WB category tree. ## `searchQueries` (type: `array`): Free-text keywords to scrape from Wildberries search (e.g. "iphone"). Use instead of, or together with, category URLs. ## `maxItems` (type: `integer`): Maximum number of products to store in the dataset. Set 0 for unlimited (bounded by the ~10,000-results-per-list Wildberries cap). ## `enrichDetails` (type: `boolean`): Fetch each product's full card: description, characteristics (specs), category and image URLs. Disable for a faster, price-only run. ## `scrapeReviews` (type: `boolean`): Fetch customer reviews (rating, text, author, date) for each product. ## `maxReviewsPerProduct` (type: `integer`): How many reviews to store per product when reviews are enabled. ## `dest` (type: `string`): Wildberries delivery region id. Prices and stock vary by region. Default targets the Moscow region. ## `sort` (type: `string`): Result ordering used by Wildberries. ## `maxPagesPerList` (type: `integer`): Hard cap on listing pages requested per category/search (Wildberries stops serving past ~100 pages / ~10,000 products). ## `proxyConfiguration` (type: `object`): Proxy settings. Wildberries rate-limits single IPs (429); Apify RESIDENTIAL proxies in country RU are recommended for larger runs. ## Actor input object example ```json { "categoryUrls": [ { "url": "https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki" } ], "searchQueries": [ "iphone" ], "maxItems": 50, "enrichDetails": false, "scrapeReviews": false, "maxReviewsPerProduct": 20, "dest": "-1257786", "sort": "popular", "maxPagesPerList": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "RU" } } ``` # 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 = { "categoryUrls": [ { "url": "https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki" } ], "searchQueries": [ "iphone" ] }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/wildberries-listings-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 = { "categoryUrls": [{ "url": "https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki" }], "searchQueries": ["iphone"], } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/wildberries-listings-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 '{ "categoryUrls": [ { "url": "https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki" } ], "searchQueries": [ "iphone" ] }' | apify call piotrv1001/wildberries-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/wildberries-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wildberries Listings Scraper", "description": "The Wildberries Listings Scraper extracts product listings and enriched profiles from Wildberries category and search pages, capturing names, brands, sellers, prices, discounts, stock, ratings, sizes, descriptions, characteristics, images, and reviews — ideal for price tracking and market research.", "version": "0.0", "x-build-id": "iR1LQvokHj4lcuVmO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~wildberries-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-wildberries-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~wildberries-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-wildberries-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~wildberries-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-wildberries-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categoryUrls": { "title": "Category URLs", "type": "array", "description": "Wildberries category page URLs to scrape (e.g. https://www.wildberries.ru/catalog/obuv/muzhskaya/kedy-i-krossovki). Each URL is resolved against the WB category tree.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Free-text keywords to scrape from Wildberries search (e.g. \"iphone\"). Use instead of, or together with, category URLs.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of products to store in the dataset. Set 0 for unlimited (bounded by the ~10,000-results-per-list Wildberries cap).", "default": 50 }, "enrichDetails": { "title": "Scrape Product Details", "type": "boolean", "description": "Fetch each product's full card: description, characteristics (specs), category and image URLs. Disable for a faster, price-only run.", "default": false }, "scrapeReviews": { "title": "Scrape Reviews", "type": "boolean", "description": "Fetch customer reviews (rating, text, author, date) for each product.", "default": false }, "maxReviewsPerProduct": { "title": "Max Reviews per Product", "minimum": 1, "type": "integer", "description": "How many reviews to store per product when reviews are enabled.", "default": 20 }, "dest": { "title": "Delivery Region (dest)", "type": "string", "description": "Wildberries delivery region id. Prices and stock vary by region. Default targets the Moscow region.", "default": "-1257786" }, "sort": { "title": "Sort Order", "enum": [ "popular", "rate", "priceup", "pricedown", "newly", "benefit" ], "type": "string", "description": "Result ordering used by Wildberries.", "default": "popular" }, "maxPagesPerList": { "title": "Max Pages per List", "minimum": 1, "maximum": 100, "type": "integer", "description": "Hard cap on listing pages requested per category/search (Wildberries stops serving past ~100 pages / ~10,000 products).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Wildberries rate-limits single IPs (429); Apify RESIDENTIAL proxies in country RU are recommended for larger runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "RU" } } } }, "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 } } } } } } } } } } ```