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Amazon Product & Price Scraper

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from $5.00 / 1,000 results

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Amazon Product & Price Scraper

Amazon Product & Price Scraper

Scrape Amazon product details and prices: title, price, list price, rating, review count, availability, images and ASIN. Track competitors and build pricing datasets. Structured JSON output.

Pricing

from $5.00 / 1,000 results

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Developer

Technical Dost Solutions

Technical Dost Solutions

Maintained by Community

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1

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a day ago

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What this Actor does

Extract clean, structured product data from public Amazon (and other e-commerce) product pages.

It processes user-provided public product URLs, prioritizes JSON-LD/schema.org Product and Offer structured data, and can optionally use a conservative fallback that reads common visible product-page elements (title, price, rating, availability, image). It normalizes useful fields, deduplicates by product URL, and saves structured records to the Apify dataset.

Why this Actor is useful

Sellers, analysts, and price-monitoring teams pay for this kind of extraction because it replaces manual page checking, creates repeatable price and availability monitoring, feeds spreadsheets, dashboards, and repricing tools, and turns scattered public product pages into a clean, API-ready dataset.

Who this is for

  • E-commerce sellers and brands monitoring their listings
  • Price intelligence and repricing teams
  • Market and competitive research analysts
  • Affiliate marketers curating product data
  • Retailers tracking availability and rating trends

Common use cases

  • Track price and availability across multiple product pages
  • Monitor competitor listings for changes
  • Feed a dashboard or spreadsheet with fresh product data
  • Build recurring price-history datasets
  • Enrich a catalog with brand, rating, and image data

Input

FieldTypeDescription
startUrlsarray (required)Public product page URLs to extract from. Use only pages you may access without login or bypassing access controls.
maxItemsintegerMaximum rows to save. Default 50, min 1, max 10000.
maxConcurrencyintegerPages processed in parallel. Default 3, min 1, max 20.
extractionModestringstructuredDataOnly or structuredDataWithFallback (default). The fallback safely reads visible public product-page elements.
requestTimeoutSecsintegerMaximum time per page. Default 30, min 5, max 180.
proxyConfigurationobjectOptional Apify proxy configuration where permitted by your source review.

Output

FieldDescription
productTitleProduct name/title.
brandBrand name when available.
skuSKU, MPN, or GTIN identifier when present.
priceNumeric price of the product.
currencyCurrency of the price (e.g. USD, INR, EUR).
availabilityAvailability / stock status when published.
ratingAggregate rating value when available.
reviewCountNumber of reviews when available.
imageUrlPublic URL of the main product image.
productUrlPublic URL of the product detail page.
sourceUrlURL where the data was extracted.
detectedAtTimestamp when this Actor extracted the row.
extractionMethodstructured_data for schema data, or fallback_public_product_page for visible public elements.
confidenceScoreHeuristic confidence based on structured data availability and completeness.
missingFieldsRequired fields that were not available from the source page.

Sample input

{
"startUrls": [
{
"url": "https://www.amazon.com/dp/B0BSHF7WHW"
}
],
"maxItems": 25,
"maxConcurrency": 3,
"extractionMode": "structuredDataWithFallback",
"requestTimeoutSecs": 30
}

Sample output

{
"productTitle": "Wireless Noise-Cancelling Headphones",
"brand": "Acme Audio",
"sku": "B0BSHF7WHW",
"price": 199.99,
"currency": "USD",
"availability": "InStock",
"rating": 4.5,
"reviewCount": 1284,
"imageUrl": "https://example.com/images/headphones.jpg",
"productUrl": "https://www.example.com/dp/B0BSHF7WHW",
"sourceUrl": "https://www.example.com/dp/B0BSHF7WHW",
"detectedAt": "2026-06-27T00:00:00.000Z",
"extractionMethod": "structured_data",
"confidenceScore": 0.95,
"missingFields": []
}

Pricing

This Actor uses a pay-per-event model: $0.005 per product result saved to the dataset. You pay only for the structured product rows you receive, which makes recurring monitoring predictable and low-cost.

How to use

Run this Actor on Apify with public product page URLs, export the dataset as JSON, CSV, or Excel, or pull it through the Apify API. Connect the output to Google Sheets, Make, Zapier, a webhook, your dashboard, or a repricing tool. For monitoring, save the input as an Apify task and schedule recurring runs to track price and availability changes.

Best practices

  • Start with a small set of reviewed public product URLs.
  • Prefer pages that expose schema.org / JSON-LD structured data.
  • Use structuredDataOnly for highest precision; use structuredDataWithFallback for pages that only show visible product elements.
  • Keep maxConcurrency low for cautious, low-footprint runs.
  • Review each source website's rules before scheduling recurring runs.

Compliance and responsible use

This Actor is for public data only. It must not be used to bypass logins, paywalls, CAPTCHAs, or security systems, to collect private or sensitive personal data, or to support spam or abuse. Product information processed here should be publicly published product pages. You are responsible for following applicable laws and each source website's rules.

Limitations

  • Output quality depends on the public structured data available on the source pages.
  • Fallback extraction is intentionally conservative and only looks for common visible public product-page elements. It does not claim universal store support.
  • Prices and values are extracted as published; formats vary by store and country and are not reformatted or converted.
  • Some fields may be empty when the source does not publish them; these appear in missingFields.
  • The Actor does not claim support for any specific third-party e-commerce platform.
  • Website markup and access policies can change.

Troubleshooting

  • Empty output usually means the page has no public structured product data and no recognizable visible product elements.
  • Invalid URL errors mean one or more input URLs are malformed.
  • Slow runs can usually be improved by lowering maxConcurrency.
  • Missing fields are source-data limitations, not inferred values.

Changelog

  • v0.1.0: Initial release with structured-data-first extraction, conservative public product-page fallback, and confidence scoring.