1688 Reviews Scraper - Ratings, Photos & SKUs
Pricing
from $2.00 / 1,000 reviews
1688 Reviews Scraper - Ratings, Photos & SKUs
Scrape buyer reviews from any 1688.com product. Get the star rating, review text and buyer photos. Also the SKU bought, order quantity, buyer nickname and date. Send a product URL or ID. Get JSON back. No account, no cookies. $2.00 per 1,000 reviews, flat rate.
Pricing
from $2.00 / 1,000 reviews
Rating
0.0
(0)
Developer
Dami's Studio
Maintained by CommunityActor stats
0
Bookmarked
14
Total users
11
Monthly active users
5 hours ago
Last modified
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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.
| Input | 1688 product URLs or bare product ids |
| Output | One row per review |
| Ceiling | 4,000 reviews per product |
| Account needed | None, and nothing to install |
| Price | $2.00 per 1,000 reviews, flat on every plan |
⭐ 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"}
| Field | Default | What it is |
|---|---|---|
productUrls | box starts at one example product | One per line. A product link, a bare product id, or a 1688 review-page link, which already carries the seller id and saves a lookup. |
maxReviewsPerProduct | box starts at 100 | Hard cap per product, 1 to 4,000. |
reviewFilter | box starts at all | 1688's own tabs: all, withText, withPhotos, positive, neutral, negative. |
requestDelayMs | box starts at 800 | Under Advanced. Milliseconds between requests. 1688 rate-limits heavily, so raise this if a run stops early with a BLOCKED row. |
proxyConfiguration | leave it alone | Optional. Only if you want the run to go out through a particular network of your own. |
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"}
| Field | What it is |
|---|---|
reviewText | Exactly what the buyer wrote, in Chinese. Nothing is translated. |
isAutoReview | 1688's own timeout default, posted when a buyer never rated the order. |
isTemplateText | The text is empty, or matches a known boilerplate phrase. Worth filtering on if you asked for written reviews only. |
quantity, unit | How many units the buyer actually ordered, and the unit 1688 counts in. |
skuSpec, skuSpecs | The variant that was bought, as a readable line and as structured objects. |
buyerNick | Masked by 1688, as in 匿名购买. There is no way to a real identity here. |
publishedAt, createdAt | Beijing wall-clock times converted to ISO, so they are directly comparable. |
productTotalReviews, productReviewsWithText, productAutoReviewCount | The product-level counts, repeated on every row. This is how you see the text-versus-auto split before deciding how deep to go. |
productStarGrade | null when 1688's rating summary could not be read for that product. |
page, position | Where the review sat in the feed when it was read. |
🧾 Reading the output
| Row | How to spot it | Billed |
|---|---|---|
| A review | It has a reviewId | yes |
| The sample row | _sample: true | no |
| A diagnostic | It carries an errorCode | no |
There is no charged field on these rows. Filter on reviewId being present.
| Code | What it means |
|---|---|
NO_REVIEWS | Nothing came back for that product. If you used a narrow filter, try all before concluding the product has none. |
BAD_INPUT | Not a 1688 product link or id. |
SELLER_LOOKUP_FAILED | The seller behind that product could not be worked out. The row still tells you whether the product exists and whether it has reviews waiting. |
BAD_SELLER | A seller id was supplied in a review-page link and 1688 rejected it. |
FETCH_FAILED | 1688 rejected the request for that product's reviews. |
BLOCKED | Two lookups in a row failed, so the rest of the products were skipped rather than burned through. Raise requestDelayMs and run again. |
PROXY_GROUP_IGNORED | Part of the advanced network settings you sent could not be used as given, so the run adjusted them and carried on. |
▶️ How to run it
- Open 1688 Reviews Scraper and click Try for free.
- Paste product links or ids into 1688 product URLs or IDs, one per line.
- Set Which reviews. Pick Written text only unless you specifically want the auto-posted defaults counted.
- Set Maximum reviews per product. Start at 20 to see what the rows look like.
- 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
skuSpecandquantity, which tells you the real volumes moving rather than the minimum on the listing. - Collecting buyer photos for products you are sourcing, where
imageCountis 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?
| If you want | Use |
|---|---|
| Reviews for products you can link | This one |
| Products, unit prices, MOQ and the quantity ladder | 1688 Wholesale Scraper |
| A supplier's ratings and trade credentials | 1688 Supplier Ratings Scraper |
| Export suppliers and MOQ on Alibaba.com | Alibaba.com Scraper |
| Retail products on Taobao instead | Taobao Category Products Scraper |
❓ 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.