Quince.com Product Scraper - Prices, Discounts, Reviews & More

Quince Product Scraper

Scrape product data from Quince.com using one of three modes: keyword search, category browse, or a direct list of product URLs.

What it collects

For each product the worker extracts:

• Title and full description
• Selling price and traditional retail price
• Discount percentage
• Product image URLs (filtered to the primary colour)
• Up to 5 most recent customer reviews (author handles are masked for privacy)
• Average rating and total review count
• Source metadata (mode and original query/URL)

Input modes

Fuzzy Search — enter a keyword (e.g. cashmere sweater). The worker queries Quince's Algolia search index and retrieves matching in-stock product handles, then scrapes each product detail page.

Category Browse — enter a category slug or full URL (e.g. /women/clothing/sweaters). The worker fetches the listing page, extracts all linked product URLs, and scrapes each one up to the configured limit.

Product URLs — paste one or more direct Quince product page URLs. The worker validates each URL (must be on quince.com) and scrapes them individually.

Configuration

Notes

• Quince.com product data is embedded in each page's __NEXT_DATA__ JSON blob; no browser automation is required.
• Search credentials (Algolia app ID and API key) are discovered automatically from Quince's JavaScript bundle at run time. If Quince rotates these credentials, simply re-run the worker.
• If a URL returns a non-product page (category, marketing, etc.) it is skipped with a descriptive note in the output.
• List fields (images, reviews) are serialised as JSON strings in the output table.