Amazon Product & Price Scraper

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

Field	Type	Description
startUrls	array (required)	Public product page URLs to extract from. Use only pages you may access without login or bypassing access controls.
maxItems	integer	Maximum rows to save. Default 50, min 1, max 10000.
maxConcurrency	integer	Pages processed in parallel. Default 3, min 1, max 20.
extractionMode	string	structuredDataOnly or structuredDataWithFallback (default). The fallback safely reads visible public product-page elements.
requestTimeoutSecs	integer	Maximum time per page. Default 30, min 5, max 180.
proxyConfiguration	object	Optional Apify proxy configuration where permitted by your source review.

Output

Field	Description
productTitle	Product name/title.
brand	Brand name when available.
sku	SKU, MPN, or GTIN identifier when present.
price	Numeric price of the product.
currency	Currency of the price (e.g. USD, INR, EUR).
availability	Availability / stock status when published.
rating	Aggregate rating value when available.
reviewCount	Number of reviews when available.
imageUrl	Public URL of the main product image.
productUrl	Public URL of the product detail page.
sourceUrl	URL where the data was extracted.
detectedAt	Timestamp when this Actor extracted the row.
extractionMethod	structured_data for schema data, or fallback_public_product_page for visible public elements.
confidenceScore	Heuristic confidence based on structured data availability and completeness.
missingFields	Required 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.

Use Amazon Product & Price Scraper with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/amazon-product-price-scraper

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/amazon-product-price-scraper" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/amazon-product-price-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--amazon-product-price-scraper; ask it, for example, to "run Amazon Product & Price Scraper with {"startUrls": [{"url": "https://www.amazon.com/dp/B0BSHF7WHW"}]}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Amazon Product & Price Scraper via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~amazon-product-price-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": [{"url": "https://www.amazon.com/dp/B0BSHF7WHW"}]}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/amazon-product-price-scraper").call(run_input={"startUrls": [{"url": "https://www.amazon.com/dp/B0BSHF7WHW"}]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/amazon-product-price-scraper').call({"startUrls": [{"url": "https://www.amazon.com/dp/B0BSHF7WHW"}]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~amazon-product-price-scraper/runs and fetch the dataset when the run finishes, or receive a webhook.

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FAQ

Can I use Amazon Product & Price Scraper with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/amazon-product-price-scraper (see above) and the agent can run the Actor and read its results on its own.

Can I call Amazon Product & Price Scraper from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.