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Xiaohongshu (RedNote) Product Reviews Scraper

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from $4.99 / 1,000 results

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Xiaohongshu (RedNote) Product Reviews Scraper

Xiaohongshu (RedNote) Product Reviews Scraper

Scrape Xiaohongshu (RedNote) product reviews. Get review text, star ratings, buyer photos, the variant purchased, tags, seller replies, and reviewer profiles. Just add product URLs or IDs. Export to JSON, CSV, Excel.

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from $4.99 / 1,000 results

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Zen Studio

Zen Studio

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RedNote (小红书) Product Reviews Scraper: Buyer Reviews by Product with Ratings, Photos, Variants & Replies (2026)

Scrape Xiaohongshu (RedNote / 小红书) product buyer reviews by product link or ID: review text, star ratings (item, SKU, logistics, service), buyer photos, the exact variant purchased, review tags, seller replies, and reviewer profiles in clean structured JSON. One row per review, multiple products per run, each with its own review budget.

RedNote Product Reviews Scraper

Copy to your AI assistant

zen-studio/rednote-product-reviews-scraper on Apify. Scrapes Xiaohongshu (RedNote / 小红书) product buyer reviews by product URL or ID. One row per review with review text, star ratings (item/sku/logistics/service), buyer photos (url+width+height+thumbnail), the exact variant purchased, review tags, like count, reviewer profile, and nested seller/buyer replies (sub_reviews). Call ApifyClient("TOKEN").actor("zen-studio/rednote-product-reviews-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Requires productUrls (string[]), each entry a goods-detail URL or 24-char product ID; options: maxReviewsPerProduct (int, 0=all), sortBy (recommended|latest), withImagesOnly (bool). Full spec: GET https://api.apify.com/v2/acts/zen-studio~rednote-product-reviews-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Token: https://console.apify.com/account/integrations

How to Scrape RedNote Product Reviews

Basic: one product, default 100 reviews

{
"productUrls": ["https://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae"],
"maxReviewsPerProduct": 100
}

Multiple products, newest reviews first

{
"productUrls": [
"https://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae",
"6a16107133df70001553ff3e"
],
"maxReviewsPerProduct": 200,
"sortBy": "latest"
}

Only reviews with buyer photos

{
"productUrls": ["https://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae"],
"maxReviewsPerProduct": 50,
"withImagesOnly": true
}

Input Parameters

ParameterTypeDefaultDescription
productUrlsstring[]requiredOne or more products. Each entry is a product link (https://www.xiaohongshu.com/goods-detail/<id>) or a raw 24-character product ID. Feed the url or id straight from the RedNote Product Search Scraper.
maxReviewsPerProductinteger100How many reviews to collect for each product (0 = all available, 1–5000). Every review counts toward your bill. Products with few sales may return fewer.
sortBystringrecommendedOrder reviews are collected in: recommended (platform default) or latest (newest first).
withImagesOnlybooleanfalseCollect only reviews that include buyer photos.

Accepted product formats

FormatExample
Product linkhttps://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae
Raw product ID69da64265ec0880001bf68ae

Each product is collected independently and reviews are deduplicated by review ID within that product, so you never pay twice for the same review.

What Data You Get: One Row Per Review

{
"review_id": "616946735755924278",
"root_review_id": "616946735755924278911171",
"sku_id": "69da64265ec0880001bf68ae",
"content": "有一说一 这是我买过最严谨的手机壳 严丝合缝不漏一点银边 强迫症患者放心入",
"scores": { "item": 5, "sku": 5, "logistics": 5, "service": 5 },
"like_count": 3,
"create_time_desc": "05-07",
"tags": ["严丝合缝", "质量很好", "很满意"],
"labels": ["回头客"],
"variants": [
{ "name": "颜色分类", "value": "白色-冰雾磨砂(软边硬背)" },
{ "name": "手机型号", "value": "iPhone 16 Pro" }
],
"images": [
{
"url": "https://mall-i8.xhscdn.com/comment/1040g3mg31vroqm8a2i705nhp86dg82vkjtnaao0?imageView2/2/w/1080/format/webp/q/85",
"width": 4096,
"height": 3072,
"thumbnail": "https://mall-i8.xhscdn.com/comment/1040g3mg31vroqm8a2i705nhp86dg82vkjtnaao0?imageView2/2/w/540/format/webp"
}
],
"user": {
"user_id": "ae30124f859e45fc59178a477bf4f",
"name": "kk",
"avatar": "https://sns-avatar-qc.xhscdn.com/avatar/5fea7d337280c8f2f3bdac43.jpg",
"anonymous": false,
"visitor_flag": false
},
"sub_review_count": 13,
"sub_reviews": [
{
"review_id": "623452383550842693911171",
"root_review_id": "616946735755924278911171",
"target_review_id": "616946735755924278911171",
"content": "问问容易发黄吗",
"create_time_desc": "05-25",
"like_count": 0,
"selected": true,
"user": { "user_id": "a89a75b7433459d4d94835871e202", "name": "喵", "avatar": "https://sns-avatar-qc.xhscdn.com/avatar/...", "anonymous": false, "visitor_flag": false },
"images": []
}
],
"comment_type": 5,
"forbidden_reply": false,
"status": 2,
"translate_flag": false,
"sort_by": "recommended"
}

Field reference

FieldDescription
review_id / root_review_idUnique review ID and its thread root ID
sku_idThe product ID the review belongs to
contentThe buyer's review text
scoresStar ratings (1–5): item, sku, logistics, service
like_countNumber of likes on the review
create_time_descHuman-readable post time (e.g. 05-07, 1小时前)
tagsReview keyword tags (e.g. 质量很好, 很满意)
labelsBuyer labels on the review (e.g. 回头客 = repeat customer)
variantsThe exact SKU variant purchased (color, model, size…)
imagesBuyer photos: url, width, height, thumbnail
userReviewer profile: user_id, name, avatar, anonymous, visitor_flag
sub_review_countTotal number of replies/follow-ups on the review
sub_reviewsNested replies (seller responses and buyer follow-up questions) with their own author and threading IDs
comment_type / statusPlatform classification codes for the review
forbidden_replyWhether replies are locked on the review
translate_flagWhether the platform offers a translation for the review
sort_byThe sort order used for this run (recommended or latest)

Image CDN URLs are time-limited. Download photos soon after a run if you need to store them.

Pricing: Pay Per Event (PPE)

$5.99 per 1,000 reviews. Each review written to the dataset counts as one result. Nested replies (sub_reviews) ride along inside their parent review row at no extra charge. No charge for empty products, retries, or pagination overhead.

EventPer reviewPer 1,000
review-result (one dataset row)$0.00599$5.99

Volume discounts apply automatically on higher Apify Store plans.

Free tier

10 lifetime runs, each capped at approximately 20 reviews from the first product. No credit card required. Enough to evaluate the output shape and data quality before purchasing.

Advanced Usage

Track sentiment for a product line over time

{
"productUrls": ["https://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae"],
"maxReviewsPerProduct": 0,
"sortBy": "latest"
}

Set maxReviewsPerProduct to 0 to collect every available review, sorted newest first, and schedule the run to monitor new reviews and ratings as they arrive.

Compare reviews across competing products

{
"productUrls": ["69da64265ec0880001bf68ae", "6a16107133df70001553ff3e"],
"maxReviewsPerProduct": 300
}

Use the sku_id field on each row to group reviews by product, then compare scores, tags, and photo coverage side by side.

Photo-only review mining

{
"productUrls": ["https://www.xiaohongshu.com/goods-detail/69da64265ec0880001bf68ae"],
"maxReviewsPerProduct": 200,
"withImagesOnly": true
}

Collect only reviews with buyer photos to build a user-generated-content gallery or to study how products look in real use.

FAQ

How many reviews can I collect per product? As many as the product has, up to your maxReviewsPerProduct cap. Set it to 0 for all available reviews. Popular products can have thousands; products with few sales return fewer.

What's in sub_reviews? The reply thread under a review: seller responses and buyer follow-up questions. Each carries its own author, timestamp, and threading IDs (root_review_id, target_review_id). The first reply usually rides along inline for free with its parent review.

What do the star ratings mean? scores holds four 1–5 ratings: item (the product), sku (the specific variant), logistics (shipping), and service (seller). They mirror the rating breakdown shown on the product page.

Are review texts and tags in Chinese? Yes. Reviews are written by buyers on Xiaohongshu, so content, tags, and variants are typically in Chinese. Run them through any translation step you like after the run.

What's the difference between a product link and an ID? Both work. A link is https://www.xiaohongshu.com/goods-detail/<id>; the ID is the 24-character hex string inside it. Paste either into productUrls.

How fresh is the data? Live: collected on demand at run time. No cached or stale records.

Are the buyer photo URLs permanent? No. Image CDN URLs (images[].url) are time-limited and typically expire within hours to days. The review_id is the stable reference. Download images soon after a run if you need to store them.

Use Cases

  • Product research: read what real buyers say about a product before sourcing or selling it.
  • Sentiment & ratings monitoring: track scores, tags, and new reviews for a product line over time.
  • Competitor comparison: collect reviews across competing products and compare ratings, complaints, and photo coverage.
  • UGC & social proof: pull buyer photos and quotes (with withImagesOnly) for galleries and marketing.
  • Quality & returns analysis: surface recurring complaints in content and tags to flag product or logistics issues.
  • Variant insight: see which variants (color, model, size) buyers actually purchase and how each is rated.

More Zen Studio scrapers for Chinese platforms

🎬 Short-video & social

🛒 E-commerce

🏠 Real estate & autos

Support

  • Bugs: Issues tab
  • Feature requests: Issues tab

Extracts publicly available product reviews from Xiaohongshu (RedNote / 小红书). Users must comply with Xiaohongshu's terms of service and applicable data protection regulations (GDPR, CCPA, PIPL).


RedNote (小红书 / Xiaohongshu) product reviews: text, star ratings, buyer photos, variants, and seller replies. One row per review, in clean JSON.