Wildberries Scraper — Products, Prices, Reviews & Sellers

Scrape wildberries.ru, Russia's biggest marketplace, at API speed. One actor covers the entire surface: product search, category / brand / seller catalogs, full product cards with specs and weekly price history, customer reviews, and seller legal profiles (INN/OGRN) — data no single competitor bundles together.

Why use this Wildberries scraper?

• Everything in one actor. Others sell search, reviews, sellers, and price tracking as four separate scrapers. Here it's one input schema and one bill.
• Pure JSON pipeline. Reads Wildberries' own catalog APIs — no HTML parsing, no headless browser. Fast, cheap, and stable against layout redesigns.
• Fields nobody else ships. Weekly price history per product, 40+ specification characteristics, vendor codes, and the seller's registered legal entity with INN / OGRN — ideal for lead-gen and compliance checks.
• Live commercial signals. Real-time discounted price, list price, discount %, stock per product, delivery time, seller rating.
• Multi-region prices. RUB, BYN, KZT, AMD, UZS, KGS and a configurable delivery destination.

What does it scrape?

Mode	Input	Output rows
Products (default)	keywords, search/category/brand/seller URLs, product URLs, or raw артикулы	one row per product: price, stock, rating, supplier, images (+ optional full card)
Reviews	product URLs or ids	one row per review: rating, text, pros/cons, photos, seller answer
Sellers	seller URLs or ids	one row per seller: trademark, legal name, INN, OGRN, product count

In products mode you can switch on:

• scrapeProductDetails — adds full description, all characteristics, vendor code, weekly price history, and the seller's legal identity to every product row.
• scrapeReviews — additionally pushes review rows for every scraped product.

Use cases

• Price & assortment monitoring — track competitors' prices, discounts, and stock across any category or brand, with historical price context built in.
• Marketplace analytics — measure category size, price distribution, rating dynamics, and which sellers dominate a niche.
• Seller lead generation — pull every seller in your segment with their registered company name and INN/OGRN, ready for outreach or verification.
• Review mining — feed product reviews (with pros/cons structure and seller replies) into NLP, QA, or product-development pipelines.
• Dropshipping & sourcing research — find fast-moving products, check real stock levels, and vet the suppliers behind them.

How it works

1. Pick a mode and give the actor something to start from — keywords, any wildberries.ru URL (search, category, brand, seller, or product page), or raw ids. URLs are classified automatically.
2. The actor calls Wildberries' JSON endpoints directly and paginates listings at 100 products per page, deduplicating along the way.
3. Optional toggles enrich each product with the full card (specs, description, price history, seller legal data) and its reviews.
4. Rows stream into the dataset as they're scraped — export as JSON, CSV, or Excel. maxItems caps the total row count; you're only charged for rows delivered.

Input configuration

Example — top smartphones with full details and reviews:

{
    "mode": "products",
    "startUrls": [{ "url": "https://www.wildberries.ru/catalog/elektronika/smartfony-i-telefony/vse-smartfony" }],
    "scrapeProductDetails": true,
    "scrapeReviews": true,
    "maxReviewsPerProduct": 20,
    "sort": "popular",
    "maxItems": 500
}

Example — keyword search, listing-level only (fastest):

{
    "mode": "products",
    "queries": ["iphone 15", "кроссовки nike"],
    "maxItems": 1000
}

Example — all reviews of specific products:

{
    "mode": "reviews",
    "productIds": ["1210207492"],
    "maxReviewsPerProduct": 500
}

Example — seller intel:

{
    "mode": "sellers",
    "startUrls": [{ "url": "https://www.wildberries.ru/seller/250121764" }]
}

Field	Type	Default	Notes
mode	select	products	products / reviews / sellers
queries	array	—	keyword searches (products mode)
startUrls	array	—	any wildberries.ru URLs, auto-classified
productIds	array	—	raw артикулы (products & reviews modes)
sellerIds	array	—	raw supplier ids (sellers mode)
scrapeProductDetails	boolean	false	full card: description, specs, price history, seller legal data
scrapeReviews	boolean	false	push review rows per product
maxReviewsPerProduct	integer	50	cap for review rows per product
sort	select	popular	popular, priceup, pricedown, newly, rate, benefit
maxItems	integer	1000	total dataset-row cap (products + reviews + sellers)
maxImages	integer	5	image URLs per product row (0 = off)
currency	select	rub	rub, byn, kzt, amd, uzs, kgs
dest	string	-1257786	delivery destination id (default Moscow) — affects stock & delivery time
maxConcurrency	integer	10	parallel product slots (max 20)
proxy	object	—	optional; usually not needed

Output samples

Product row (with scrapeProductDetails):

{
    "rowType": "product",
    "productId": 1210207492,
    "imtId": 1176062770,
    "url": "https://www.wildberries.ru/catalog/1210207492/detail.aspx",
    "name": "Смартфон iPhone 13 256 ГБ, Черный Восстановленный",
    "brand": "Apple",
    "priceBasic": 55500,
    "priceSale": 29514,
    "discountPercent": 47,
    "currency": "RUB",
    "rating": 5,
    "reviewsCount": 14,
    "stockTotal": 44,
    "deliveryHoursMin": 34,
    "colors": ["черный"],
    "supplierId": 250121764,
    "supplierName": "Gadgets Box",
    "supplierRating": 4.7,
    "imageUrls": ["https://basket-44.wbbasket.ru/vol12102/part1210207/1210207492/images/big/1.webp"],
    "description": "Почему стоит выбрать именно iPhone 13 черный? …",
    "vendorCode": "iPhone 13 256 ГБ Черный_2",
    "subjectName": "Смартфоны",
    "characteristics": [
        { "name": "Модель", "value": "iPhone 13" },
        { "name": "Объем встроенной памяти (Гб)", "value": "256 ГБ" }
    ],
    "priceHistory": [{ "date": "2026-04-26", "price": 99314.5 }],
    "sellerFullName": "Индивидуальный предприниматель Щёголева Алина Дмитриевна",
    "sellerInn": "370305168138",
    "sellerOgrn": "323370000023017",
    "source": "search:iphone 13",
    "scrapedAt": "2026-07-08T10:18:09.379Z"
}

Review row:

{
    "rowType": "review",
    "reviewId": "UKfpIdsO79JdRyW5QcRB",
    "productId": 905990512,
    "imtId": 1176062770,
    "rating": 5,
    "text": "Качественный товар",
    "pros": "Идеальный, все работает",
    "cons": "",
    "userName": "Леонид",
    "userCountry": "ru",
    "createdDate": "2026-07-02T06:15:06Z",
    "sellerAnswer": "Здравствуйте, благодарим за выбор и отзыв…",
    "photoUrls": [],
    "scrapedAt": "2026-07-08T10:18:49.557Z"
}

Seller row:

{
    "rowType": "seller",
    "supplierId": 250121764,
    "url": "https://www.wildberries.ru/seller/250121764",
    "name": "Gadgets Box",
    "fullName": "Индивидуальный предприниматель Щёголева Алина Дмитриевна",
    "trademark": "Gadgets Box",
    "inn": "370305168138",
    "ogrn": "323370000023017",
    "productCount": 83,
    "scrapedAt": "2026-07-08T10:18:49.557Z"
}

Key output fields

• priceBasic / priceSale / discountPercent — list price, current discounted price, and the discount, in your chosen currency.
• stockTotal — live units in stock across warehouses; deliveryHoursMin — fastest delivery estimate to your dest.
• priceHistory — weekly price points (date + price). null for very new products that have no history yet.
• characteristics — the full specification table from the product card as {name, value} pairs.
• sellerFullName / sellerInn / sellerOgrn — the registered legal entity behind the storefront.
• imtId — the product-family id; color/size variants share it (and share reviews).
• source — which query/URL produced the row, handy when you pass several inputs.

FAQ

Do I need proxies? No — the actor talks to Wildberries' open JSON endpoints directly and automatically fails over to a proxy if Wildberries rate-limits the connection. You can still force your own proxy via the proxy input.

Can it scrape a whole category? Yes — paste the category URL (e.g. /catalog/elektronika/smartfony-i-telefony/vse-smartfony). Note Wildberries caps how deep any listing paginates server-side (roughly the first ~6,000 items per listing); slice big categories by subcategory, brand, or sort order to reach more.

Why is priceHistory sometimes null? Wildberries only stores history once a product has been on sale for a while; brand-new listings have none.

Are reviews complete? The actor pulls the review feed Wildberries serves for the product family (all variants share reviews), newest first, up to maxReviewsPerProduct. Reviews hidden by Wildberries' own moderation aren't available.

Which regions/currencies work? Prices can be returned in RUB, BYN, KZT, AMD, UZS, or KGS. The dest id controls the delivery region used for stock and delivery-time fields.

How am I charged? Per dataset row, with separate (cheaper) rates for review rows — see the Pricing tab for current rates. maxItems is a hard cap; the run stops exactly there.

Support

• 🐛 Found a bug or missing field? Open an issue on the actor's Issues tab — response usually within 24 h.
• 💡 Need an extra field, endpoint, or a custom variant of this scraper? Message me through Apify — happy to extend it.

Additional services

Need Wildberries data merged with other marketplaces (Ozon, Yandex Market, Allegro, Amazon), delivered to your database, or on a schedule with alerting? I build custom pipelines — get in touch via Apify.

Explore more scrapers

Check my Apify profile for 100+ actors: e-commerce, real estate, jobs, travel, and lead-gen scrapers built on the same fast HTTP stack.

⚠️ Disclaimer

This actor is not affiliated with, endorsed by, or sponsored by Wildberries (ООО «Вайлдберриз»). It collects only publicly available data that any visitor can see on wildberries.ru, for legitimate purposes such as market research, price monitoring, and analytics. You are responsible for how you use the data: comply with applicable laws (including data-protection regulations), Wildberries' terms of service, and rate-limit your usage responsibly. Trademarks and product names belong to their respective owners.

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