Levi's Product Scraper — Prices, Sizes & Stock

Turn levi.com into a clean product dataset. Every row carries the full picture of a Levi's colourway: current price, regular price and discount, per-size stock levels, colourway swatches, images, fit/wash/material attributes, ratings and GTIN barcodes — across 24 country storefronts in local currency.

Point it at a keyword, a whole category, the entire market sitemap, or your own list of product URLs. No account, no API key, and no proxy required.

Per-size stock is included in every row at no extra cost. Most fashion scrapers bill size/stock data as a separate premium event — here it is part of the standard result.

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Who uses this

You are…	You use it to…
Retail / e-commerce analyst	Track Levi's assortment, RRP vs. sale price and discount depth by market.
Price-monitoring or repricing SaaS	Feed a daily per-SKU price and stock signal into your platform.
Reseller / sourcing buyer	Spot clearance colourways and find which sizes are still in stock.
Brand & competitive intelligence	Compare Levi's pricing between the US, UK, Germany and 21 more storefronts.
Researcher / data journalist	Build reproducible fashion pricing and assortment datasets.

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What you get — output fields

Field	Type	Description
code	string	Levi's PC9 product/colourway code, e.g. 005010193.
name	string	Product name, localized to the market.
product_url	string	Absolute product page URL.
color_name	string	Colourway, e.g. Medium Stonewash - Medium Wash.
price	number	Current selling price.
regular_price	number	Regular (pre-discount) price.
discount_percent	number	Percentage off, or null when not on sale.
on_sale	boolean	Whether the product is currently discounted.
currency	string	ISO currency of the market (USD, GBP, EUR…).
price_formatted	string	Localized price string, e.g. $74.99, 119,95 €.
sizes	array	Per-size rows: size label, PC13 code, UPC, stock_level (integer), in_stock, price.
sizes_in_stock / sizes_total	integer	How many sizes are available out of how many offered.
total_stock	integer	Units in stock summed across every size.
in_stock	boolean	True when at least one size is available.
swatches	array	Sibling colourways of the same style (code, colour, swatch image, URL).
images / primary_image	array / string	Full-resolution product imagery.
breadcrumbs / category_path	array / string	Category trail, e.g. Clothing > Men > Jeans > Straight.
attributes	object	Every published attribute as a name/value map.
fit, wash, material, leg_opening, closure, stretch, rise	string	Attributes promoted to their own columns.
average_rating / review_count	number / integer	Customer rating and number of ratings.
merchant_badge / promotional_badge	string	e.g. Best Seller, 11% off Price as Marked.
gtin	string	GTIN-12/13 barcode — join key for your own catalogue.
meta_title / meta_description	string	SEO metadata from the product page.
department, item_type, gender, inseam, size_guide	string	Merchandising detail.
pre_order, back_order, coming_soon, returnable, customizable	boolean	Availability flags.
last_modified	string	Sitemap lastmod date (sitemap mode) — great for change detection.
country / locale	string	Which storefront the row came from.
scraped_at	string	UTC ISO-8601 timestamp.

Full field documentation lives in the Actor's dataset schema.

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High-value use cases

1. Daily price & stock monitoring. Run in sitemap mode with changedSince set to yesterday. Levi's publishes a lastmod date per product, so you only re-scrape what actually changed — keeping large catalogues cheap to track.

2. Discount and markdown intelligence. regular_price, price and discount_percent come straight from the storefront, so you can measure markdown depth by category, fit or market and time your own promotions against it.

3. Size-level availability and sell-through. sizes[].stock_level exposes the unit count per size. Watch it over time to infer sell-through, spot size curves that sell out first, and find restocks the moment they land.

4. Cross-market price arbitrage. The same style is priced independently per country. Run the same category across US, GB, DE and JP and compare local prices.

5. Catalogue enrichment. gtin gives you a barcode to join Levi's data onto your own PIM, marketplace listings or resale inventory.

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Input parameters

Field	Type	Default	Description
mode	enum	search	search, category, sitemap, or urls.
searchQuery	string	501 jeans	Keyword, used in search mode.
categoryId	string	—	Category code for category mode, e.g. levi_clothing_men_jeans.
productUrls	array	—	Product URLs or bare codes for urls mode.
changedSince	string	—	YYYY-MM-DD; in sitemap mode, skip products unchanged since this date.
country	enum	US	Storefront: US, CA, GB, IE, DE, AT, CH, FR, BE, NL, ES, IT, PT, PL, CZ, SE, DK, FI, NO, AU, NZ, JP, IN, MX.
maxItems	integer	100	Stop after this many product rows.
fetchDetails	boolean	true	Fetch the product page for per-size stock and attributes. Off = faster, listing fields only.
includeSwatches	boolean	false	Also return sibling colourways of each style.
sortBy	enum	relevance	relevance, price, latest-arrival, best-seller.
sortOrder	enum	descending	ascending or descending.
minRequestInterval	number	1.0	Politeness delay in seconds between requests.
proxyConfiguration	object	disabled	Optional — the scraper works without a proxy.

Finding a categoryId

Open any Levi's category page and take the last URL segment:

https://www.levi.com/US/en_US/clothing/men/jeans/c/levi_clothing_men_jeans
                                                    └──────────────────────┘
                                                    categoryId

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Example

Input — every men's jeans product in the UK store, with colourways:

{
    "mode": "category",
    "categoryId": "levi_clothing_men_jeans",
    "country": "GB",
    "maxItems": 500,
    "fetchDetails": true,
    "includeSwatches": true
}

Output (one row, abridged):

{
    "code": "005010193",
    "name": "501® Original Men's Jeans",
    "product_url": "https://www.levi.com/US/en_US/clothing/men/jeans/straight/501-original-mens-jeans/p/005010193",
    "color_name": "Medium Stonewash - Medium Wash",
    "price": 74.99,
    "regular_price": 84.95,
    "discount_percent": 11.72,
    "on_sale": true,
    "currency": "USD",
    "in_stock": true,
    "total_stock": 14225,
    "sizes_in_stock": 37,
    "sizes_total": 40,
    "sizes": [
        {
            "code": "00501019302830",
            "size": "28W X 30L",
            "upc": "00039307480499",
            "stock_level": 245,
            "in_stock": true,
            "price": 74.99
        }
    ],
    "average_rating": 4.2424,
    "review_count": 11546,
    "category_path": "Clothing > Men > Jeans > Straight",
    "fit": "Original, Straight",
    "wash": "Medium Wash",
    "material": "Denim",
    "gtin": "00886878787539",
    "merchant_badge": "Best Seller",
    "promotional_badge": "11% off Price as Marked",
    "primary_image": "https://lscoglobal.scene7.com/is/image/lscoglobal/MB_00501-0193_GLO_CM_DA?$qv_desktop_full$",
    "country": "US",
    "scraped_at": "2026-09-16T02:31:44Z"
}

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Scheduling, webhooks & integrations

• Schedule a daily or hourly run from the Apify Console — pair mode: "sitemap" with changedSince for efficient incremental monitoring.
• Webhooks can fire on ACTOR.RUN.SUCCEEDED to push fresh data straight into your own service.
• Export to JSON, CSV, Excel, XML or RSS, or pull from the Dataset API.
• Connect to Google Sheets, Airtable, Make, Zapier, Slack, AWS S3 and more through Apify integrations.

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Use it from an AI assistant (MCP)

This Actor is callable over the Apify MCP server, so agents in Claude, VS Code, Cursor or any MCP client can run it as a tool:

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com/sse?actors=axlymxp/levis-product-scraper",
            "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
        }
    }
}

Then simply ask: "Get me every discounted Levi's men's jean in the UK store with at least 3 sizes in stock."

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FAQ

How many products can I scrape in one run? There is no hard cap — set maxItems to whatever you need. sitemap mode reaches the full market catalogue; large runs checkpoint automatically and resume where they left off if interrupted.

How fresh is the data? It is read live from Levi's storefront at run time, so prices and stock reflect what a shopper sees at that moment.

Does search cover non-US catalogues? Levi's runs a single US-wide search index, so search mode discovers products from the US catalogue — though price and stock are still localized to your chosen market during detail enrichment. For a true per-market catalogue, use category or sitemap mode, both of which are fully market-specific.

Why do some products return no row in a non-US market? Product codes differ per storefront. When a code is not carried by the market you selected, the Actor logs it and skips it rather than emitting an empty row.

Do I need proxies? No. The scraper works without proxies by default. You can enable Apify Proxy for very large runs or if your region is restricted.

Is a size list always returned? Yes, whenever fetchDetails is on and the product publishes size variants. A few catalogue entries (accessories, gift cards, marketing placeholders) have no size breakdown; those return sizes_total: null.

Is scraping this data legal? The Actor collects only publicly available product information — no personal data and no login-protected content. You are responsible for ensuring your use complies with applicable laws and the site's terms.

Something broke — how fast are fixes? Runtime failures are reported to the maintainer automatically. Open an issue on the Actor's Issues tab and it will be looked at promptly.