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Product Data Normalizer & Price Cleaner

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Cleans and standardizes messy scraped product data: parses prices from any format, detects currency, normalizes stock status. Built for e-commerce, price monitoring, price comparison and web scraping pipelines that need clean structured JSON, not raw messy text.

Pricing

from $4.00 / 1,000 results

Rating

0.0

(0)

Developer

victor

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Monthly active users

13 hours ago

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Product Data Normalizer

Turn messy scraped product data into clean, structured JSON — automatically.

If you scrape prices, listings, or catalogs, you know the pain: prices come as "29,99€", "$14.50", or "1.234,56€", and availability shows up as free text in a dozen different phrasings across sources. This Actor takes that mess and returns consistent, ready-to-use data every time.

What it does

Parses prices from any common format (European 1.234,56€, US 1,234.56$, symbols, ISO codes) into a clean numeric value + currency code.
Detects availability ("En stock", "Sold out", "Agotado", "Available now"...) and returns a simple true / false.
Cleans product names (trims whitespace, fixes spacing issues).
Keeps the original raw record alongside the cleaned one, so you can always verify the conversion.

Input

{
  "products": [
    { "name": "  Wireless Mouse  ", "price": "29,99€", "availability": "En stock" },
    { "name": "USB-C Hub", "price": "$14.50", "availability": "Out of stock" }
  ],
  "defaultCurrency": "EUR"
}

Output

{
  "name": "Wireless Mouse",
  "price": 29.99,
  "currency": "EUR",
  "in_stock": true,
  "url": null,
  "raw": { "name": "  Wireless Mouse  ", "price": "29,99€", "availability": "En stock" }
}

Who this is for

Developers feeding scraped data into price-comparison tools or dashboards
Teams merging product feeds from multiple sources with inconsistent formatting
AI agents that need clean structured product data as part of a larger pipeline

Pricing

Pay per use — no subscription:

$0.01 per run
$0.004 per product normalized

Feed it 1,000 messy records, get back 1,000 clean ones, for a few dollars.

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