Shopee Shop Reviews Scraper: a shop's ratings with photos, sub-scores and seller replies

Give it a Shopee shop URL and it returns that shop's reviews as rows. Star rating, the buyer's words, their photos and video, the product and the exact variation the review is about, three sub-scores, and the seller's public reply.

Put the market in the URL, always. Shopee runs eight separate markets and a shop id exists on only one of them, so shopee.sg/shop/1103391312 and shopee.ph/shop/1103391312 are two different things. An id on the wrong market comes back empty rather than wrong.

Two more things worth knowing before the first run. Shopee serves at most about 1,000 reviews per star rating, so roughly 5,000 per shop however many it declares. And there is no free trial row here: the input box arrives pointing at a real shop, so a run you start without editing it really does sweep that shop.

Input	Shopee shop URLs, with the market host on them
Output	One row per review, plus a summary row per shop
Ceiling	About 1,000 reviews per star rating, roughly 5,000 per shop
Account needed	None
Price	$3.79 per 1,000 reviews on the free plan, falling to $2.79 on the larger paid plans

🛒 What Shopee Shop Reviews Scraper does

Shopee paginates its reviews one star rating at a time, so this sweeps each bucket separately and interleaves them. On a capped run that matters: you get a spread across all five ratings instead of a hundred five-star ratings and nothing else.

Every review names its product, its variation (model_name) and the shop it belongs to, so one sweep of a 165-item shop is already a per-product breakdown.

Each row carries a coverage_note saying how much of the shop you actually got: "Collected 100 of the shop's 77,604 declared ratings (0.13%)". If a star bucket hit Shopee's own ceiling, the note says that too. You never have to guess whether a run was complete.

A product URL works, and returns the reviews from the shop sweep that belong to that product. Shopee publishes no per-product review feed, so that is a slice of the sweep rather than the product's full history.

📥 What you give it

{
  "startUrls": ["https://shopee.sg/shop/1103391312"],
  "maxReviewsPerShop": 300,
  "starRatings": ["5", "4", "3", "2", "1"],
  "onlyWithText": true
}

Field	Default	What it is
startUrls	a real example shop	Shop URLs (/shop/123456 or /shopusername) or product URLs. The market host is part of the address, so keep it.
maxReviewsPerShop	100	1 to 5,000 per shop. Anything above roughly 5,000 cannot be met, because Shopee stops serving.
starRatings	all five	Which buckets to sweep. Narrowing it makes a run faster. One-star only is the fastest useful run there is.
onlyWithText	false	Many Shopee ratings are stars and nothing else. Turn this on to keep only reviews with a written comment.
onlyWithMedia	false	Keep only reviews that came with photos or video.
includeShopSummary	true	Adds one row per shop: average rating, good, normal and bad counts, followers, item count, response rate.
requestDelayMs	250	Milliseconds between requests, 0 to 5,000. Raise it if one run sweeps many shops.

📤 What you get back

A real review row from a real run:

{
  "type": "review",
  "cmtid": 110513602821,
  "orderid": 242786970229109,
  "country": "SG",
  "host": "shopee.sg",
  "shopid": 1103391312,
  "shop_username": "baseus.sg",
  "shop_name": "Baseus Official Store Singapore",
  "itemid": 45506561088,
  "product_name": "Baseus USB Type C Cable Quick Charge 3.0 Fast Charging For P30 Data Wire",
  "model_name": "Red,2m",
  "product_url": "https://shopee.sg/product/1103391312/45506561088",
  "rating_star": 5,
  "comment": "So far ok, hopefully will last long.. Comes with warranty as well, its a gd deal..",
  "has_comment": true,
  "detailed_rating": {
    "product_quality": 5,
    "seller_service": 5,
    "delivery_service": 5
  },
  "author_username": "p*****i",
  "author_masked": true,
  "anonymous": true,
  "review_date": "2026-09-20T06:16:54.000Z",
  "ctime": 1789885014,
  "images": ["https://down-sg.img.susercontent.com/file/sg-11134103-8258a-mtc1cjah59fu01"],
  "image_count": 1,
  "video_count": 1,
  "like_count": 0,
  "seller_reply": null,
  "seller_reply_date": null,
  "collected_at": "2026-09-20T07:05:50.039Z",
  "coverage_note": "Collected 100 of the shop's 77,604 declared ratings (0.13%)."
}

Field	What it is
cmtid	Shopee's review id. Stable, so use it as your dedupe key across runs.
product_name, model_name, itemid, product_url	The product and the exact variation the buyer bought.
detailed_rating	Shopee's three sub-scores: product quality, seller service, delivery. The overall star is often 5 while one of these is not.
comment, has_comment	The written text. has_comment is false on a stars-only rating, and the comment is then an empty string rather than null.
author_username, author_masked, anonymous	Shopee masks some buyer names itself (p*****i). The two flags tell you when what you are reading is masked.
images, image_count, video_count	Buyer photos as URLs, and a count of clips. Neither shows in the default table view.
seller_reply, seller_reply_date	The shop's public answer, on the same row as the review. Null when there isn't one.
review_date, ctime	The same moment as an ISO string and as a Unix timestamp.
coverage_note	How much of the shop this run actually covered, and whether a star bucket hit Shopee's ceiling.

🧾 Reading the output

Two kinds of row share one dataset, and type is what separates them. The table view is built for reviews, so a shop summary row looks nearly blank in it. Open a shop row itself and everything is there.

Row	How to spot it	Charged
A review	type is review	yes
The shop summary	type is shop, and it carries charged: false	no

Notices never enter the dataset. They are written to the run's key-value store under NOTICES_AND_RUN_STATUS, along with a run_summary giving swept and delivered counts per shop. Open the Storage tab on the run to read it.

Notice	What it means
unrecognised_url	Not a Shopee shop or product address.
shop_not_found_on_host	That id does not exist on that market. Check the host in the URL.
shop_id_rejected	Shopee refused the id outright.
shop_lookup_unavailable	The shop lookup did not answer. Usually worth one re-run.
page_failed	One page of one star bucket did not come back, so that bucket stops early. The coverage note on the rows will show the shortfall.
upstream_route_blocked	Shopee stopped answering mid-sweep. The run ends rather than pretending it finished.
no_input	Nothing usable in startUrls.

▶️ How to run it

1. Open Shopee Shop Reviews Scraper and click Try for free.
2. Put your shop URLs into Shopee shop or product URLs, one per line, each with its market host.
3. Set Max reviews per shop. Start at 100 and read the coverage note before going bigger.
4. If you only want reviews people actually wrote, tick Only reviews that have written text.
5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the API.

💰 How much does it cost?

$3.79 per 1,000 reviews on the free plan, falling to $2.79 per 1,000 on the larger paid Apify plans.

You pay per review row. The shop summary row is not a review and is not charged as one, and neither are the notices, which do not enter the dataset at all.

Three hundred reviews from one shop is a bit over a dollar on the free plan. Remember that the input box arrives with a real shop in it, so starting a run without editing it is a real sweep of that shop, not a demo.

💡 What people use it for

• Reading the one and two-star buckets on your own shop, which is where the operational complaints are, without wading through thousands of five-star ratings.
• Watching a competing shop's new reviews on a schedule, keyed on cmtid.
• Pulling buyer photos for a product, which show the real condition far better than the seller's own gallery.
• Splitting sentiment by variation. model_name often shows one colour or size getting all the complaints.
• Checking whether a shop replies to bad reviews, and how quickly.

🚧 What it does not do

• About 1,000 reviews per star rating. That is Shopee's wall, not a setting. A shop with 77,000 ratings still tops out near 5,000.
• No per-product review feed. A product URL returns its share of the shop sweep, not that product's whole history.
• The market host is required. An id from another market returns nothing, and the run tells you so in a notice rather than guessing.
• No buyer contact details. Usernames as Shopee shows them, masked where Shopee masks them.
• No product data. No price, stock or listing detail, only what the review carries.
• No translation. A Thai review arrives in Thai.
• Counts are a snapshot taken during the run, and Shopee's declared total moves between runs.

🧭 Which marketplace scraper do you need?

If you want	Use
Shopee shop reviews with photos and sub-scores	This one
Reviews and ratings on 1688	1688 Reviews Scraper
Wholesale prices, MOQ and suppliers on 1688	1688 Wholesale Scraper
Shopify stores with their emails and tech stack	Shopify Store Leads

❓ Questions people ask

Do I need a Shopee account? No. Nothing to paste, nothing that expires.

Which markets work? All eight of Shopee's, as long as the host is in the URL you paste.

Why did my run come back empty? Nine times out of ten the shop id belongs to a different market. Check NOTICES_AND_RUN_STATUS for shop_not_found_on_host.

Can I get all 77,000 ratings on a big shop? No. Shopee stops serving past roughly 1,000 per star rating, and the coverage note on every row tells you exactly where a run stopped.

Why are so many comments empty? Shopee lets buyers rate without writing anything, and plenty do. Use onlyWithText if those are no use to you.

Is scraping reviews legal? These are public pages. Reviews are personal data under GDPR and similar laws, so have a reason for holding them and be careful about republishing. Apify's write-up on the legality of web scraping is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the shop URL and the run ID. Read NOTICES_AND_RUN_STATUS on the run first, since it usually names the reason already.