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New Balance Product Scraper

Pricing

from $6.00 / 1,000 dataset items

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New Balance Product Scraper

New Balance Product Scraper

Scrape New Balance (newbalance.com) products by keyword, product URL or the full catalog — name, price, sale/list price, sizes with availability, colorways, images and category as structured JSON. No proxy needed.

Pricing

from $6.00 / 1,000 dataset items

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Developer

axly

axly

Maintained by Community

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3

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2

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5 days ago

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Turn the official New Balance store (newbalance.com) into clean, structured JSON. Search by keyword, drop in product links, or sync the entire catalog — and get names, prices, sale/list prices, size-level availability, colorways, images and categories for every product. Runs from a plain datacenter IP with no proxy required.


Who it's for

  • Price & promo monitoring — brands, retailers and MAP monitors tracking New Balance prices, discounts and stock over time.
  • Sneaker resellers & arbitrage — watch drops, sale percentages and which sizes are in stock on the official store vs resale marketplaces.
  • E-commerce, affiliate & catalog feeds — a reliable, incremental product feed for comparison sites, Google Shopping and CRMs.
  • Analysts & researchers — assortment and pricing studies at catalog scale.

What you get — output fields

FieldTypeDescription
pidstringProduct / colorway ID
masterIdstringMaster style ID
namestringProduct name
categorystringCategory label
urlstringProduct page URL
slugstringURL slug
pricenumberCurrent price
listPricenumberOriginal / list price
onSalebooleanWhether the item is discounted
currencystringCurrency (USD)
imagestringPrimary product image
imagesarrayAll product images (Scene7)
colorwayCountintegerNumber of colorways
colorwaysarrayColorway style codes
sizesarrayEvery size with variantId + available flag
availableSizesarraySizes currently in stock
inStockbooleanWhether any size is in stock
availabilityMsgstringStorefront availability message
badgestringMerchandising badge (e.g. New)
sourcestringWhat produced the row (search: / url: / sitemap)
lastmodstringCatalog last-modified timestamp (catalog mode)
scrapedAtstringUTC scrape timestamp

Size, colorway, image and availability fields come from full product detail; keep Include full product detail on (default) to populate them.

High-value use cases

  1. Daily price & discount tracking — schedule a keyword or full-catalog run, diff price/onSale day over day to catch markdowns and MAP violations.
  2. Size-availability alerts for resellers — monitor availableSizes on hot styles (990, 9060, 2002R) and act the moment a size restocks or sells out.
  3. Catalog feed for comparison / affiliate sites — full-catalog mode with updatedSince gives a fresh, incremental product feed with images and prices.
  4. Assortment intelligence — pull the whole catalog to analyze category mix, colorway breadth and price bands.
  5. Enrich a product list — pass a list of product URLs/IDs and get full, normalized detail for each.

Input parameters

FieldTypeDefaultDescription
searchQueriesstring[]["990"]Keywords to search; each is fully paginated
productUrlsstring[]Product page URLs or bare PIDs (always fetched with detail)
scrapeFullCatalogbooleanfalseScrape the entire US catalog via sitemap
updatedSincestringCatalog mode: only products modified on/after this ISO date
includeDetailsbooleantrueEnrich each product with sizes, colorways, images, availability
includeLocalesbooleanfalseCatalog mode: include non-US locale URLs
maxItemsinteger100Stop after this many products
sortRulestringOptional Commerce sort id for searches (e.g. price-low-to-high)
ignoreSslErrorsbooleanfalseDisable TLS verify (only behind a corporate proxy)
proxyConfigurationobject{ "useApifyProxy": false }Optional proxy

Provide at least one of searchQueries, productUrls, or scrapeFullCatalog.

Example input

{
"searchQueries": ["990", "fresh foam"],
"includeDetails": true,
"maxItems": 50
}

Full-catalog incremental sync:

{
"scrapeFullCatalog": true,
"updatedSince": "2026-08-01",
"includeDetails": true,
"maxItems": 1000
}

Example output

{
"pid": "U990V4-53041",
"masterId": "U990V4",
"name": "Made in USA 990v4",
"category": "Made in USA",
"url": "https://www.newbalance.com/pd/made-in-usa-990v4/U990V4-53041.html",
"price": 184.99,
"listPrice": 184.99,
"onSale": false,
"currency": "USD",
"images": ["https://nb.scene7.com/is/image/NB/u990v4-53041_..."],
"colorwayCount": 1,
"sizes": [{ "size": "9", "variantId": "U990V4-53041-D-09", "available": true }],
"availableSizes": ["8", "9", "10", "11", "12"],
"inStock": true,
"availabilityMsg": "In Stock",
"source": "search:990",
"scrapedAt": "2026-08-24T00:00:00+00:00"
}

Scheduling & integrations

  • Schedule daily/hourly runs from the Apify Console for continuous price and stock tracking.
  • Webhooks — trigger a downstream call when a run finishes (send new rows to your app, Slack, or a database).
  • Export to JSON, CSV, Excel or feed to Google Sheets, Make, Zapier, or S3.
  • API — start runs and pull the dataset from your own code via the Apify API.

Use with AI assistants (MCP)

This Actor works with the Apify MCP server, so an AI assistant (Claude, ChatGPT, or any MCP client) can call it as a tool — "get current prices and available sizes for New Balance 990v6" — and receive structured results it can reason over.

FAQ

Do I need a proxy? No. The endpoints used are ungated and run from any IP. You can still attach an Apify proxy for a specific egress region.

How fresh is the data? Every run fetches live from newbalance.com. Catalog mode exposes lastmod, and updatedSince lets you pull only recently changed products.

How many products can it return? As many as you set in maxItems. The US catalog is ~1,000+ master styles; keyword searches expand across colorways.

Does it include reviews or ratings? No — the storefront's product view does not expose them, so this Actor focuses on catalog, pricing, variants and stock.

Is scraping legal? The Actor collects publicly available product data. You are responsible for using the output in line with applicable laws and New Balance's terms.

Something broke — how fast are fixes? Failures are monitored and reported automatically; issues are addressed promptly.