Wildberries Reviews Scraper

Wildberries Reviews Scraper extracts every product review (feedback) from wildberries.ru — ratings, review text, pros and cons, author, photos, videos and the seller's answers — and returns them as a clean, structured dataset. It also pulls the product card (name, brand, description, photos, video) and the seller's legal data.

Give it a product URL, an nmId, an imtId or a seller ID and get everything in one run. No login, no browser and no proxy required.

🌍 Language / Язык: English · Русский

What is the Wildberries Reviews Scraper?

This Wildberries reviews scraper turns any Wildberries product page into a ready-to-use review dataset. It is built for sellers, brand managers and data teams who need to export Wildberries reviews, track customer sentiment or feed review data into their own analytics, CRM or BI tools.

You can find the review count, average rating, individual star ratings, full review text, customer photos, customer videos and official seller replies — everything Wildberries shows on a product's feedback page.

Because it runs on the Apify platform, you also get scheduling, monitoring, API access, integrations (Google Sheets, Slack, webhooks) and proxy rotation out of the box.

What data can you extract from Wildberries?

For every review:

• ⭐ Rating (1–5 stars)
• 📝 Review text, plus pros and cons
• 👤 Author name and country
• 🏷️ Product info: nmId, imtId, name, brand, seller ID and product URL
• 📷 Customer photos and 🎥 videos attached to the review
• 💬 Seller answers and their dates
• 👍 Helpfulness votes (pluses / minuses)
• 🚫 Whether the review was excluded from the product rating
• 📅 Created and updated timestamps
• 🎨 Variant details such as size and colour

Plus, for each product, in the run's key-value store under the OUTPUT key:

• 🧾 Full product card: description, subject, vendor code, all colour variants
• 🖼️ Direct photo URLs (full size, card and thumbnail) and a video flag
• 🏭 Seller legal data: company name, INN, OGRN, KPP, legal address, trademark
• 📊 Aggregates: rating distribution, share of reviews with photo/video/text, monthly timeline

How to scrape Wildberries reviews (step by step)

1. Open the Actor's input form.
2. Paste one or more product URLs into Product or review URLs — for example https://www.wildberries.ru/catalog/27530247/detail.aspx. Review-page URLs, product IDs (nmId) and feedback IDs (imtId) also work — the type is detected automatically.
3. Optionally set filters: Max reviews per product, rating range, only reviews with photos/video, or only reviews newer than a date.
4. Click Start and wait for the run to finish.
5. Open the Output tab to preview the reviews, or download them as JSON, CSV or Excel, or pull them through the Apify API.

You can also run the Actor programmatically:

curl -X POST "https://api.apify.com/v2/actors/ecomconnector~wb-reviews-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.wildberries.ru/catalog/27530247/detail.aspx"}],"maxReviews":500}'

How does the Actor find reviews?

Wildberries identifies a product's reviews by an internal imtId. If you pass a review-page URL containing imtId=…, the Actor uses it directly (fastest). If you pass only a product URL or nmId, the Actor resolves the imtId automatically before fetching reviews.

Input example

{
    "startUrls": [
        { "url": "https://www.wildberries.ru/catalog/27530247/detail.aspx" }
    ],
    "maxReviews": 500,
    "minRating": 1,
    "maxRating": 3,
    "onlyWithMedia": false,
    "parseCard": true,
    "parseSeller": true,
    "sortBy": "newest"
}

Output example

{
    "reviewId": "pGvuEHYC3VLXq6RpWOEB",
    "product": {
        "nmId": 27530247,
        "imtId": 4208686397,
        "name": "Гель для стирки 2в1 c пятновыводителем, 5 л",
        "brand": "SYNERGETIC",
        "sellerId": 47912,
        "url": "https://www.wildberries.ru/catalog/27530247/detail.aspx"
    },
    "rating": 3,
    "text": "Пришёл гель, вообще никак не упакован, протекает, выкупать не стала.",
    "pros": "",
    "cons": "",
    "author": "Светлана",
    "authorCountry": "ru",
    "hasPhoto": false,
    "hasVideo": false,
    "storeAnswer": null,
    "createdAt": "2026-10-11T19:11:19.581Z"
}

How to monitor new Wildberries reviews

Use the Only reviews newer than field in incremental mode. It accepts an ISO date (2026-10-01) or a relative value (7d, 24h, 2w), so a scheduled run returns only fresh reviews:

{
    "productIds": ["27530247"],
    "onlyNewSince": "1d"
}

Combine it with Apify schedules to get a daily digest of new feedback and negative reviews.

How much does it cost to scrape Wildberries reviews?

Pricing is pay-per-result: you pay only for the reviews that land in your dataset. There is no monthly fee and no charge for empty runs.

• Roughly $0.15 per 100 reviews and ~$1.5 per 1,000 reviews on the free tier price.
• Discounts apply automatically on higher Apify plans (Bronze, Silver, Gold and above).
• The Actor start is covered by Apify for the first 5 seconds of every run.

That makes this one of the cheapest ways to export Wildberries product reviews at scale. See the Pricing tab for the exact current rates, or set a maximum spend per run to stay in full control of costs.

Is scraping Wildberries legal?

This Actor only collects publicly available product data and reviews that Wildberries shows to any visitor, in the same way a browser does. Use the data responsibly and in line with Wildberries' terms and applicable law.

Related Actors

• Ozon Reviews Scraper — the same clean review schema for Ozon
• Yandex Market Reviews Scraper — for Yandex Market
• RU Marketplaces Scraper — Wildberries + Ozon + Yandex Market in one dataset

FAQ

Does it need a proxy? No. Wildberries reviews and product cards are publicly accessible, so the Actor runs without a proxy by default. If you ever see 403/498 errors, enable Apify Proxy.

How many reviews can I get per product? All reviews that Wildberries exposes for that product — often hundreds or thousands. Use Max reviews per product to limit the output.

Can I get only negative reviews? Yes. Set Min rating to 1 and Max rating to 1 or 2 to collect only negative feedback.

Can I get only reviews with photos or videos? Yes. Enable Only reviews with photos or video, or filter by the hasPhoto / hasVideo fields in the dataset.

Can I get product photos and the seller's details? Yes. Keep Extract product card and Extract seller info enabled. Photo URLs and the seller's legal data are written to the run's key-value store under the OUTPUT key.

Can I schedule it? Yes, use Apify schedules to run the Actor daily or hourly and pick up new reviews automatically.

Can I export reviews to CSV or Excel? Yes, every dataset can be downloaded as JSON, CSV, Excel or accessed via the API.

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🌍 Language / Язык: English · Русский

Парсер отзывов Wildberries

Парсер отзывов Wildberries выгружает все отзывы с карточки товара: оценку, текст отзыва, плюсы и минусы, имя автора, фото, видео и ответы продавца. Дополнительно собирает карточку товара (название, бренд, описание, фото, видео) и юридические данные продавца (ИНН, ОГРН, адрес, товарный знак).

На вход принимает ссылку на товар, ссылку на отзывы, артикул (nmId), imtId или ID продавца — тип определяется автоматически.

Подходит для селлеров и брендов, которым нужно выгрузить отзывы Wildberries, следить за обратной связью, считать тональность и собирать аналитику по товарам конкурентов.

Что собирает

• ⭐ Оценки (1–5) и распределение оценок
• 📝 Текст отзыва, плюсы и минусы
• 👤 Имя и страна автора
• 🏷️ Товар: nmId (артикул), imtId, название, бренд, ID продавца
• 📷 Фото и 🎥 видео покупателей
• 💬 Ответы продавца и их даты
• 👍 Полезность отзыва (голоса)
• 🧾 Карточка товара: описание, предмет, артикул продавца, все цвета
• 🖼️ Прямые ссылки на фото товара (full, card, thumb)
• 🏭 Данные продавца: название, ИНН, ОГРН, КПП, юр. адрес, товарный знак
• 📊 Агрегаты: распределение оценок, доля с фото/видео/текстом, динамика по месяцам

Как выгрузить отзывы WB: пошагово

1. Вставьте ссылку на товар вида https://www.wildberries.ru/catalog/27530247/detail.aspx (можно ссылку на отзывы или просто артикул).
2. При необходимости задайте лимит, диапазон оценок и флаги (карточка, продавец, фото).
3. Нажмите Start и скачайте результат во вкладке Output (JSON, CSV, Excel или через API).

Мониторинг новых отзывов

Поле «Только новые с даты» принимает ISO-дату (2026-10-01) или относительное значение (7d, 24h, 2w). Запускайте по расписанию — и получайте только свежие отзывы, например только негатив за сутки.

Сколько стоит

Оплата за результат: ~$0.15 за 100 отзывов, без абонентской платы. Есть скидки на старших тарифах Apify.

Частые вопросы

Нужен ли прокси? Нет. Отзывы и карточки доступны без прокси.

Можно только негатив? Да — поставьте «Минимальная оценка» = 1 и «Максимальная оценка» = 1–2.

Можно только отзывы с фото? Да — включите «Только отзывы с фото или видео».

Где фото товара и данные продавца? В OUTPUT (key-value store запуска).