Quince Product Prices & Reviews Scraper

Here is one real result, with every field the actor returns:

{
  "productId": "91",
  "spid": "4367579709551",
  "title": "Mongolian Cashmere Tee",
  "brand": "Quince",
  "url": "https://www.quince.com/products/women/cashmere/cashmere-tee-shirt",
  "handle": "mongolian-cashmere-tee-shirt",
  "gender": "female",
  "productType": "SWEATERS",
  "category": "Crewneck",
  "breadcrumbs": ["Women", "Tees"],
  "currency": "USD",
  "sellingPrice": 44.9,
  "retailPrice": 115,
  "discountVsRetailPercent": 61,
  "onSaleDiscountPercent": 0,
  "priceIsRange": true,
  "imageUrl": "https://images.ctfassets.net/afruo3gr1g6h/5OhTdrlLM1gNilnyZn1NSA/7a57a85046bbc7fbc2aab105aaceebef/W-BLO-6-BLK-02_EDITED.jpg",
  "images": [
    "https://images.ctfassets.net/afruo3gr1g6h/5OhTdrlLM1gNilnyZn1NSA/7a57a85046bbc7fbc2aab105aaceebef/W-BLO-6-BLK-02_EDITED.jpg",
    "https://images.ctfassets.net/afruo3gr1g6h/HYaA5IMpBhYioLnekdNrZ/db8ce3be18d7f0a41ea5fe697b79a9e6/W-BLO-6-BLK-01_EDITED.jpg"
  ],
  "color": "Heather Charcoal",
  "colors": ["Heather Charcoal", "Black", "Ivory", "Heather Grey", "Oatmeal", "Varsity Red", "True Navy"],
  "sizes": ["XS", "S", "M", "L", "XL"],
  "variants": [
    { "sku": "LB167688", "svid": 472399207181215, "title": "XS / Heather Charcoal", "price": 44.9, "retailPrice": 115, "savings": "0%", "status": "ACTIVE", "options": [{ "name": "Color", "value": "Heather Charcoal" }, { "name": "Size", "value": "XS" }] }
  ],
  "inStock": true,
  "vendorType": "1P",
  "soldRecently": "57 purchased in the last day",
  "averageRating": 4.8,
  "reviewCount": 13266,
  "reviewQualityBreakdown": [{ "name": "Fit", "value": 3, "rangePercent": 50 }],
  "reviews": [
    { "id": 1965986, "author": "Michelle W.", "rating": 5, "title": "Mongolian Cashmere Tee", "body": "Perfect", "createdAt": "2026-08-10 04:07:20", "verified": true, "sentiment": "Positive", "isIncentivized": true }
  ],
  "material": "Cashmere",
  "description": "The classic cashmere tee spun from 100% Grade A Mongolian cashmere. Super soft and lightweight, this cashmere t-shirt is a wardrobe staple for layering all year round.",
  "dimensions": null,
  "careAndMaintenance": null,
  "tags": ["New", "Low Stock"],
  "returnWindowDays": 365,
  "bestSellingColors": ["Elk Brown", "Ivory", "Oatmeal", "Heather Charcoal"],
  "isMadeToOrder": false,
  "isWhiteGloveDeliveryAvailable": false,
  "hasRestockingFee": false,
  "observedAt": "2026-08-10T14:00:00.000Z",
  "error": null
}

The most complete Quince scraper available. It returns every field a product page exposes, including selling price, traditional retail price and the discount already calculated, the full variant matrix, every color, size and image, recent customer reviews with a quality breakdown, material and care details, return window and delivery options, and gives you keyword search, category browse and direct URL modes to target exactly the products you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor reads Quince.com products by keyword search, category or collection page, or direct product URL, and writes one normalized record per product to the run's dataset. Every record carries the price fields (selling price, traditional retail price, discount versus retail, on-sale discount), the full variant matrix with per-variant SKU and pricing, all colors, sizes and images, stock and vendor type, ratings and recent reviews, material, description, tags, return window and delivery options. Discounts are computed for you. Missing source values are returned as null.

You can combine all three input modes in a single run; maxProducts caps the total. The actor reads Quince's public data directly, so no proxy configuration is required.

Quickstart

Open the actor, paste this into the input, and press Run. It returns up to 10 products matching "cashmere sweater" with reviews.

{
  "searchQuery": "cashmere sweater",
  "maxProducts": 10,
  "includeReviews": true,
  "maxReviews": 5
}

Every input field is optional. Add categoryUrls to pull every product from a collection page, or productUrls to track specific SKUs week over week. Set includeReviews off to skip reviews for a faster run.

Input reference

Field	Type	Required	Default	Description
searchQuery	string	no	cashmere sweater	Fuzzy keyword search across the Quince catalog, for example linen pants, silk dress.
categoryUrls	string[]	no	(none)	One or more Quince category or collection page URLs, for example https://www.quince.com/women/cashmere. Every product on the page is scraped.
productUrls	string[]	no	(none)	Direct Quince product URLs to scrape, ideal for weekly SKU monitoring.
maxProducts	integer	no	10	Maximum products to return across all inputs. Free Apify plans are capped at 10 per run.
includeReviews	boolean	no	true	Attach the most recent customer reviews to each product.
maxReviews	integer	no	5	How many of the most recent reviews to attach to each product.
zipCode	string	no	10001	US ZIP code used to resolve availability and shipping on each product.

Output reference

One dataset item per product. Types: string, integer, number, boolean, string[], object[], or null when the source value is absent.

Field	Type	Description
productId	string	Quince product ID.
spid	string	Storefront product ID.
title	string	Product title.
brand	string	Brand. Always Quince.
url	string	Product page URL.
handle	string	URL handle / slug.
gender	string	Target gender, for example female, male, unisex.
productType	string	Product type, for example SWEATERS.
category	string	Category label.
breadcrumbs	string[]	Site breadcrumb path.
currency	string	Currency code. Always USD.
sellingPrice	number	Current selling price.
retailPrice	number	Traditional retail comparison price.
discountVsRetailPercent	integer	Percent below retail, already calculated.
onSaleDiscountPercent	integer	Extra on-sale discount percent.
priceIsRange	boolean	true when variants span a price range.
imageUrl	string	Main image URL.
images	string[]	All product image URLs.
color	string	Selected / primary color.
colors	string[]	All available colorways.
sizes	string[]	All available sizes.
variants	object[]	Full variant matrix, each with sku, svid, title, price, retailPrice, savings, status, options.
inStock	boolean	true when the product is in stock.
vendorType	string	Vendor type, for example 1P (first-party).
soldRecently	string	Recent-sales social-proof text, or null.
averageRating	number	Average review rating.
reviewCount	integer	Total number of reviews.
reviewQualityBreakdown	object[]	Quality dimensions, each with name, value, rangePercent.
reviews	object[]	Recent reviews (when includeReviews is on), each with author, rating, title, body, date, verified and sentiment.
material	string	Primary material.
description	string	Product description.
dimensions	string	Product dimensions, or null.
careAndMaintenance	string	Care instructions, or null.
tags	string[]	Merchandising tags, for example New, Low Stock.
returnWindowDays	integer	Return window in days.
bestSellingColors	string[]	Colors ranked by sales.
isMadeToOrder	boolean	true when the product is made to order.
isWhiteGloveDeliveryAvailable	boolean	true when white-glove delivery is offered.
hasRestockingFee	boolean	true when a restocking fee applies.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, an item with a populated error field is written instead.

Example output record

Real record from a live run (input {"searchQuery":"cashmere sweater","includeReviews":true}). The images, colors, variants, reviews, reviewQualityBreakdown, bestSellingColors arrays and the description are trimmed here; every value shown is unchanged from the live record. See the hero example at the top of this page for the same record.

{
  "productId": "91",
  "spid": "4367579709551",
  "title": "Mongolian Cashmere Tee",
  "brand": "Quince",
  "url": "https://www.quince.com/products/women/cashmere/cashmere-tee-shirt",
  "gender": "female",
  "productType": "SWEATERS",
  "currency": "USD",
  "sellingPrice": 44.9,
  "retailPrice": 115,
  "discountVsRetailPercent": 61,
  "color": "Heather Charcoal",
  "sizes": ["XS", "S", "M", "L", "XL"],
  "variants": [
    { "sku": "LB167688", "svid": 472399207181215, "title": "XS / Heather Charcoal", "price": 44.9, "retailPrice": 115, "savings": "0%", "status": "ACTIVE" }
  ],
  "inStock": true,
  "vendorType": "1P",
  "soldRecently": "57 purchased in the last day",
  "averageRating": 4.8,
  "reviewCount": 13266,
  "reviews": [
    { "id": 1965986, "author": "Michelle W.", "rating": 5, "title": "Mongolian Cashmere Tee", "body": "Perfect", "createdAt": "2026-08-10 04:07:20", "verified": true, "sentiment": "Positive" }
  ],
  "material": "Cashmere",
  "returnWindowDays": 365,
  "observedAt": "2026-08-10T14:00:00.000Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~quince-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery":"cashmere sweater","maxProducts":25,"includeReviews":true}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~quince-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"categoryUrls":["https://www.quince.com/women/cashmere"],"maxProducts":100}'

Apify CLI:

apify call scrapers_lat/quince-scraper \
  --input '{"productUrls":["https://www.quince.com/products/women/cashmere/cashmere-tee-shirt"]}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per product returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run finds nothing or errors, the actor writes a single item with an error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 products per run. Upgrade for higher maxProducts.
• Live data. Prices, stock and reviews are read at run time, so each record reflects the moment of the run (see observedAt).

FAQ and troubleshooting

Does it return the retail comparison price and discount? Yes. Every product carries the selling price, the traditional retail price Quince compares against, and discountVsRetailPercent, already calculated.

Can I get product reviews? Yes. Keep includeReviews on and each product comes with its most recent reviews (author, rating, title, body, date, verified-buyer flag and sentiment) plus the average rating and total review count. Control how many with maxReviews.

Does it capture every color and size? Yes. Each product lists all colorways and sizes, plus a full variant matrix with the SKU, price and retail price of every variant.

Do I need a proxy? No. The actor reads Quince's public product, search and review data directly, so it runs without any proxy configuration.

How do the three input modes work together? searchQuery, categoryUrls and productUrls can be used together in one run. Results are merged and capped by maxProducts.

Is this an official Quince tool? No. This actor is independent and has no affiliation with Quince or Last Brand, Inc. It accesses only data that is publicly available on Quince's website.

Example tasks

Preconfigured templates for common scenarios. Open one and press Run, or use it as a starting point:

• Quince 14k Gold Jewelry Scraper
• Quince Italian Leather Shoes Scraper
• Quince Linen Pants Summer Scraper
• Quince Mens Merino Wool Sweaters Scraper
• Quince Organic Cotton Sheets Scraper
• Quince Silk Dresses for Women Scraper
• Quince Washable Silk Pajamas Scraper
• Scrape Quince Bedding and Linens
• Track Quince Cashmere Sweater Prices
• Monitor Quince Leather Bag Prices

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More scrapers at scrapers.lat

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Independent tool, not affiliated with Quince or Last Brand, Inc. Accesses only data that is publicly available on Quince's website. Use it in accordance with Quince's terms of service.