1688 Reviews Scraper

1688 Reviews Scraper: buyer reviews, ratings, photos and the SKU that was bought

Send 1688.com product links or bare product ids and every review comes back as a row: star rating, the review text in Chinese, buyer photos, the SKU the buyer actually ordered, how many units they took, their nickname and level, and the date. No account, no cookies, nothing to install.

Read this before you budget anything. Most 1688 reviews are auto-posted five-star defaults from buyers who never wrote a word. The row further down is from a real product with 2,528 reviews, of which 57 carry any text and 2,471 were auto-posted. Photos are rarer still, about 3.3% of reviews. So if you are after opinions rather than counts, set Which reviews to written text only and expect a far smaller number than the review total suggests.

⭐ What 1688 Reviews Scraper does

You give it products, it works out which seller each one belongs to, then reads the review pages in the order 1688 serves them. 1688 hands out ten reviews per request, so 100 reviews is ten requests and that is what the depth costs you in time.

The filter is 1688's own set of review tabs, not something applied afterwards: everything, written text only, with photos only, or positive, neutral and negative. Picking the right tab is the difference between paying for 2,471 empty five-star defaults and paying for the 57 that say something.

Two flags on every row let you sort it out yourself if you took everything: isAutoReview marks 1688's own timeout default, and isTemplateText marks reviews whose text matches a known boilerplate phrase rather than being written by the buyer.

Seller ids get cached in a key-value store named 1688-seller-logins on your own account, so re-running the same products later skips that lookup.

📥 What you give it

{
  "productUrls": [
    "https://detail.1688.com/offer/927875250705.html",
    "927875250705"
  ],
  "maxReviewsPerProduct": 100,
  "reviewFilter": "withText"
}

Duplicate products in your list are collapsed before anything is fetched.

📤 What you get back

A real row from a recent run, with the photo link trimmed:

{
  "reviewId": "40602863345",
  "productId": "927875250705",
  "productUrl": "https://detail.1688.com/offer/927875250705.html",
  "rating": 5,
  "reviewText": "苹果18手机壳的样品麻烦了，品质对得起这个三丰中高端工厂，我是做亚马逊跨境平台，不错！适合长久合作",
  "isAutoReview": false,
  "isTemplateText": false,
  "publishedAt": "2026-08-20T06:40:02.000Z",
  "createdAt": "2026-08-20T06:40:02.000Z",
  "images": ["https://img.alicdn.com/imgextra/i2/O1CN013k4nysKaMGD2BxV2_!!...-rate.jpg"],
  "imageCount": 1,
  "quantity": 30,
  "unit": "个",
  "skuSpec": "颜色: 黑色, 适用型号: iPhone17",
  "skuSpecs": [{ "颜色": "黑色", "适用型号": "iPhone17" }],
  "buyerNick": "匿名购买",
  "buyerLevel": "L4",
  "isAnonymous": true,
  "isRepeatCustomer": false,
  "buyerOrdersRated": 0,
  "buyerGoodRatings": 0,
  "buyerAvatarUrl": "https://cbu01.alicdn.com/img/ibank/2020/428/378/22185873824_536529798.jpg",
  "sellerNick": "f**6",
  "sellerLoginId": "fssf06",
  "productTotalReviews": 2528,
  "productReviewsWithText": 57,
  "productAutoReviewCount": 2471,
  "productGoodRatePercent": 99.9,
  "productStarGrade": 5,
  "reviewFilter": "all",
  "page": 1,
  "position": 1,
  "scrapedAt": "2026-09-21T13:01:33.693Z"
}

🧾 Reading the output

There is no charged field on these rows. Filter on reviewId being present.

▶️ How to run it

1. Open 1688 Reviews Scraper and click Try for free. 2. Paste product links or ids into 1688 product URLs or IDs, one per line. 3. Set Which reviews. Pick Written text only unless you specifically want the auto-posted defaults counted. 4. Set Maximum reviews per product. Start at 20 to see what the rows look like. 5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$2.00 per 1,000 reviews. Flat on every Apify plan, with no volume tiers.

One billed row per review delivered. The sample row is not billed, diagnostic rows are not billed, a product with no reviews produces no billed rows, and a review 1688 repeats across pages is dropped before the dataset.

The filter is the cost control here. Asking for all reviews on a product like the one above means paying for 2,471 auto-posted defaults to reach 57 written ones.

💡 What people use it for

• Checking a supplier before ordering, by reading the written reviews rather than the star average

that the auto-posted defaults inflate.

• Seeing which SKU buyers actually order, from skuSpec and quantity, which tells you the real

volumes moving rather than the minimum on the listing.

• Collecting buyer photos for products you are sourcing, where imageCount is above zero.
• Comparing the text-to-auto ratio across several suppliers as a rough honesty signal.
• Feeding Chinese review text into a translation or sentiment step of your own.

🚧 What it does not do

• No keyword search. Products go in by link or id. There is no way to ask for "phone cases".
• No product details. No price, no MOQ, no supplier profile. The wholesale scraper below covers

those.

• Most reviews are empty. Auto-posted defaults dominate, so the headline review count is not a

count of opinions.

• Photos are rare, around 3.3% of reviews in measurement.
• Nothing is translated. Text, SKU specs and units all stay in Chinese.
• Buyer names are masked by 1688 and cannot be resolved to a person.
• Only what the public review page serves. Reviews hidden behind a sign-in are not reachable.
• A big run can come back short. 1688 rate-limits heavily, and a refusal becomes an uncharged

diagnostic row rather than a gap passed off as complete. Only delivered review rows are billed.

🧭 Which 1688 scraper do you need?

❓ Questions people ask

Why did a product with 2,000 reviews give me 40 rows? Because you filtered to written text and most of that product's reviews were auto-posted. The product-level counts on every row show the split.

Can I search for products? No. This takes links and ids. Use the wholesale scraper to find products, then feed their ids in here.

What is a review-page URL and why would I use one? It is the 1688 link that already carries the seller id, which saves this a lookup per product. Either form works.

My run stopped with BLOCKED. 1688 was rate-limiting. Raise Delay between requests under Advanced and run the remaining products again.

Can I schedule it? Yes. reviewId is stable, so diffing runs shows what is new.

Is this legal? These are public reviews. They are written by real people, so GDPR and similar laws may apply to what you do with them. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the product link or id and the run ID. The errorCode on the diagnostic row usually names the problem on its own.