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Amazon Price Tracker — Product Price, Rating & Search Result API

Track public Amazon product search results by keyword and country storefront. Export structured records with title, price, currency, rating, review count, image, seller or offer signals, product URL, source URL, query, and rank. Returns clean JSON / CSV / Excel for marketplace price monitoring, storefront comparison, Amazon search visibility analysis, and AI shopping workflows.

TL;DR (40-word answer): Amazon Price Tracker is a no-login Apify Actor for public Amazon search-result data across supported storefront countries. It returns normalized product records with price, currency, rating, seller or offer signals, source URL, query, and rank. Pricing uses the result event from $0.0093 per result. Last updated 2026-06-29.

What it is NOT: Amazon Price Tracker is not the Amazon Product Advertising API, not a checkout bot, and not a seller-account automation tool. It reads public Amazon product search results and returns normalized records for analysis.

Amazon Price Tracker is an Apify Actor that accepts keyword, country, and max_results, then exports a source-linked product dataset with standardized fields for analysis. It keeps the user's query visible in query, preserves public source context in source_url, and does not hide platform-specific ranking behavior behind artificial sorting. Maintained by TrueFetch on the Apify Store.

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🛒 Why choose Amazon Price Tracker

Amazon Price Tracker is best for ecommerce teams, repricing workflows, marketplace researchers, and AI agents that need current Amazon product-search data while keeping storefront, offer, and ranking context visible.

• Country storefront support from the input schema covers 22 Amazon markets, including US, UK, Germany, France, Japan, India, Canada, Australia, Brazil, Mexico, and more.
• Amazon marketplace context stays visible: country changes domain, currency, availability, result ordering, and seller or offer text, so every row keeps country, site, source_url, query, and rank.
• Normalized pricing fields include price, currency, price_text, was_price, discount_pct, promo_text, and installment text when Amazon exposes them.
• Product identity fields capture title, brand, product ID, category, breadcrumbs, seller, images, and product URL when available.
• Pay-per-result pricing uses the result event so billing follows the dataset records users receive.

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🚀 Quick Start — run in 3 steps

Run in Apify Console

1. Open the Actor — go to Amazon Price Tracker on Apify and click Try for free.
2. Configure inputs — enter keyword, choose country, and set max_results.
3. Click Start — the Actor streams product records to the default dataset. Export as JSON, JSONL, CSV, Excel, XML, RSS, or pull via the dataset API.

Run via Apify API

curl -X POST "https://api.apify.com/v2/acts/TrueFetch~amazon-price-tracker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keyword": "wireless earbuds",
  "country": "United States",
  "max_results": 100
}'

Run via MCP (for AI agents)

Amazon Price Tracker is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the Apify MCP Server. Reference the Actor as TrueFetch/amazon-price-tracker and pass the same JSON input as above.

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⚙️ Input parameters

Parameter	Type	Required	Description	Example
keyword	string	yes	Product search phrase, brand, model, category, or marketplace query to send to Amazon.	wireless earbuds
country	string	yes	Country/storefront to query. Supported values: 22 Amazon storefront countries.	United States
max_results	integer	yes	Maximum number of product records to return. The actor stops at this user limit or the platform's available result limit, whichever comes first.	100

Supported country values: Australia, Belgium, Brazil, Canada, Egypt, France, Germany, India, Ireland, Italy, Japan, Mexico, Netherlands, Poland, Saudi Arabia, Singapore, Spain, Sweden, Turkey, United Arab Emirates, United Kingdom, and United States.

Default behavior: the Actor sends the supplied input through the platform adapter, respects the platform's public search behavior, and stops at max_results or the platform's available result boundary.

{
  "keyword": "wireless earbuds",
  "country": "United States",
  "max_results": 100
}

---

📦 Output dataset

Each run writes normalized product records to the default Apify dataset. The schema contains 58 product-analysis fields so records from different shopping platforms can be compared without renaming columns. Optional fields stay empty when the source platform does not expose them.

Field	Type	Description
title	string/null	Product or listing title returned by the source platform.
brand	string/null	Product brand when the platform exposes it clearly.
price, currency, price_text	number/string/null	Numeric price, ISO currency, and original display price text for verification.
was_price, discount_pct, discount_text, promo_text	mixed/null	Promotion and discount signals when present on the source.
stock_status, stock_text	string/null	Normalized and original availability text.
rating, review_count	number/integer/null	Public rating and review count when available.
seller, seller_url, seller_score	string/number/null	Seller or store signals when exposed by the platform.
main_image, image_urls	string/array/null	Product image URL fields with non-product placeholders filtered out.
product_id, sku, gtin, mpn, model	string/null	Product identifiers when the source provides them.
category, breadcrumbs, features, specifications	mixed/null	Product categorization, bullet points, and specs when available.
shipping_text, shipping_cost, delivery_text, pickup_text, return_text	mixed/null	Fulfillment, pickup, delivery, and return signals when present.
platform, site, country, product_url, source_url, query, rank	string/integer/null	Source traceability fields used to audit query-to-result correctness.
sponsored, processor, processed_at	boolean/string/null	Sponsored flag when known, actor URL, and UTC processing timestamp.

Sample output

{
  "main_image": "https://m.media-amazon.com/images/I/example.jpg",
  "image_urls": [
    "https://m.media-amazon.com/images/I/example.jpg"
  ],
  "title": "SoundCore Wireless Earbuds with Noise Cancelling",
  "brand": "SoundCore",
  "category": "Electronics",
  "price": 89.99,
  "currency": "USD",
  "price_text": "$89.99",
  "stock_status": "in_stock",
  "stock_text": "In stock",
  "rating": 4.6,
  "review_count": 1248,
  "seller": "Amazon.com",
  "platform": "Amazon",
  "site": "amazon.com",
  "country": "United States",
  "product_url": "https://www.amazon.com/dp/B0EXAMPLE",
  "source_url": "https://www.amazon.com/s?k=wireless+earbuds",
  "query": "wireless earbuds",
  "rank": 1,
  "sponsored": false,
  "processor": "https://apify.com/truefetch/amazon-price-tracker",
  "processed_at": "2026-06-29T00:00:00+00:00"
}

---

💡 Use cases

For ecommerce sellers running Amazon price monitoring

• Problem: A seller needs recurring Amazon price snapshots for competing keywords, but country storefronts can show different currency, rank, seller text, and availability.
• How Amazon Price Tracker solves it: Schedule keyword runs by storefront and export price, currency, seller, stock_text, rating, review_count, source_url, and rank.
• Outcome: A repeatable Amazon price dataset with country, source URL, and public result order kept on every row.

For deal aggregators and cashback sites

• Problem: A deal site needs fresh Amazon offers with images, ratings, and product URLs, but the same keyword can surface different products and promotions by country.
• How Amazon Price Tracker solves it: Run high-intent category keywords and use price_text, discount_text, promo_text, rating, main_image, and product_url to populate deal feeds.
• Outcome: Current Amazon product records that can be filtered and published quickly while retaining storefront context.

For market researchers and brand monitoring teams

• Problem: A brand team needs to compare Amazon search visibility, review depth, and price positioning across country storefronts.
• How Amazon Price Tracker solves it: Run the same keyword across multiple Amazon countries and compare rank, price, currency, seller, rating, and review_count by country.
• Outcome: Side-by-side Amazon market data while preserving storefront differences instead of forcing one global ranking.

For AI agents and RAG pipelines needing live Amazon data

• Problem: An AI assistant needs current Amazon options instead of stale training data.
• How Amazon Price Tracker solves it: Call TrueFetch/amazon-price-tracker through the Apify API or MCP server and filter the returned JSON by price, rating, stock, and source URL.
• Outcome: Grounded Amazon shopping answers with traceable product URLs.

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💰 Pricing, limits, and performance

Fact	Value
Pricing model	Pay-per-event
Dataset billing event	result
FREE result price	$0.0093 per result (about $9.30 per 1,000 results)
GOLD / PLATINUM / DIAMOND result price	$0.00837 per result
Result unit	One successful product/listing record pushed to the default dataset
Required inputs	keyword, country, max_results
Supported countries	22 Amazon storefront countries
Output schema	58 normalized product fields
Login / cookies required	No user login, cookies, or marketplace API key required
Export formats	JSON, JSONL, CSV, Excel, XML, RSS, dataset API

You are billed for dataset results through the configured result charge event. Use max_results to control requested volume; the final count can be lower when the source platform returns fewer public matches.

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⚖️ Compared with alternatives

Capability	Amazon Price Tracker	Manual browsing	Custom scraper
Structured product records	yes	no	you build it
Source URL and query retained	yes	manual	depends on implementation
Normalized price/rating/image fields	yes	no	you maintain mapping
Respects platform public ranking	yes	manual observation	easy to accidentally override
Apify dataset exports and API	yes	no	you build storage/export
Setup time to first run	minutes	minutes per query	days to weeks

Verdict. Amazon Price Tracker is built for teams that need Amazon storefront price intelligence without losing the public search context that explains why each item appeared.

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⚠️ Common mistakes to avoid

1. Using keywords that do not match Amazon search behavior. Broad words such as phone can mix accessories, refurbished items, and unrelated categories. Use brand, model, variant, or category terms.
2. Comparing storefronts without country. Country changes Amazon domain, currency, availability, seller text, and ranking. Keep it explicit in every run.
3. Treating missing offer fields as parser failures. Amazon does not expose the same seller, promo, installment, or review data on every result card. Audit optional fields with source_url.
4. Re-sorting without keeping rank. Preserve rank if you need to understand Amazon's original search order.
5. Expecting checkout or seller-account data. This Actor returns public product/search data, not cart, order, advertising, affiliate, or Seller Central data.

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🛠️ Troubleshooting

Problem	Likely cause	Fix
Empty dataset	The keyword has no public results, the selected country is unsupported for that platform, or the platform returned no matches.	Try a broader keyword, verify country, and compare with the generated source_url when available.
Fewer rows than max_results	The platform exposed fewer public results than requested or hit its own result boundary.	Treat max_results as an upper bound, not a guarantee.
Price or rating is empty	The source result did not expose that field for the item.	Use price_text, stock_text, source_url, and product_url for audit.
Results look different from another run	Marketplace algorithms, location, availability, ads, and ranking can change.	Compare query, country, source_url, rank, and processed_at.

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❓ FAQ

What data does Amazon Price Tracker return?

Amazon Price Tracker returns normalized product records with fields such as title, brand, price, currency, price_text, rating, review_count, stock_text, seller, main_image, product_url, source_url, platform, site, country, query, rank, processor, and processed_at. Optional fields are populated only when the source platform exposes them.

How much does Amazon Price Tracker cost?

Pricing is pay-per-event. The dataset billing event is result; current tiered pricing starts at $0.0093 per result on FREE and $0.00837 per result on GOLD, PLATINUM, and DIAMOND. Check the Apify pricing panel for the final account-specific charge.

Which countries does Amazon Price Tracker support?

Supported country values are defined in the actor input schema. Current support: Australia, Belgium, Brazil, Canada, Egypt, France, Germany, India, Ireland, Italy, Japan, Mexico, Netherlands, Poland, Saudi Arabia, Singapore, Spain, Sweden, Turkey, United Arab Emirates, United Kingdom, and United States.

Does Amazon Price Tracker require a login or API key?

No. Amazon Price Tracker is designed for public product/search data and does not require a shopper login, cookies, or a marketplace API key from the user.

Does Amazon Price Tracker preserve the user's query and platform ranking?

Yes. The output keeps query, source_url, platform, site, country, and rank so users can compare the dataset against the original search intent and the platform's own ranking algorithm.

Can I export Amazon results to CSV, Excel, or Google Sheets?

Yes. Apify datasets can be exported as JSON, JSONL, CSV, Excel, XML, RSS, or consumed through the dataset API. Google Sheets workflows can use Apify integrations, Make, Zapier, n8n, or a direct API pull.

Can I schedule Amazon Price Tracker to monitor prices automatically?

Yes. Use Apify Schedules for recurring keyword runs and Webhooks to push completed datasets to your pricing system, BI pipeline, or automation workflow.

What is the maximum number of products per run?

Use max_results to control the requested result count. The actor returns up to that number unless the source platform has fewer public results for the query or reaches its own result boundary first.

How does Amazon Price Tracker handle temporary result failures?

The actor follows the platform's public response behavior and keeps returned data source-linked. Temporary request failures, empty searches, or platform-side ranking differences should be audited with source_url, query, rank, and processed_at.

Is Amazon Price Tracker a marketplace official API alternative?

It is a public-data extraction actor, not an official marketplace partner API. Use official APIs for account, checkout, seller, advertising, affiliate, or private operational data.

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🔌 Integrations

Amazon Price Tracker plugs into the Apify ecosystem:

• Schedules — run recurring price and search monitoring jobs (docs).
• Webhooks — POST completed runs to your pricing database, BI stack, or workflow tool on ACTOR.RUN.SUCCEEDED (docs).
• Apify API — use run-sync-get-dataset-items for blocking calls or runs for async jobs (docs).
• MCP Server — call the Actor from Claude, ChatGPT, Cursor, and other agents (docs).
• No-code tools — connect with Make, Zapier, n8n, Pipedream, Google Sheets, Airtable, and other dataset consumers.

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🧱 Sister Actors from TrueFetch

Jobs

• Best Job Listing
• Glassdoor Job Listing
• Indeed Job Listing
• LinkedIn Job Listing

Shopping & Deals

• Product Price Tracker
• Amazon Price Tracker
• Argos Price Tracker
• eBay Price Tracker
• Flipkart Price Tracker
• Myntra Price Tracker
• Target Price Tracker
• Walmart Price Tracker

Vehicles

• AutoTrader Car Listing
• Cars.com Car Listing

Real Estate

• US Property Listing
• Zillow Property Listing

Local Business & Food

• BBB Business Profile
• Google Maps Business Listing
• Zomato Restaurant Listing

Classifieds

• Kleinanzeigen Listing
• OLX Listing

Social Media

• Instagram Profile
• Reddit Post Search
• Telegram Channel Message

Videos & Text

• TikTok Video
• YouTube Video

Content & Articles

• Medium Article
• Substack Article

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📞 Support, changelog, last updated

Support

• Telegram support: @AiAgentApi
• Telegram community: TrueFetch
• Apify Actor page: Amazon Price Tracker

Changelog

• 2026-06-29: Replaced stale template copy with Amazon Price Tracker SEO/GEO copy, current actor slug, current input schema, and normalized product dataset fields.

---

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Amazon Price Tracker",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Cloud",
  "url": "https://apify.com/truefetch/amazon-price-tracker",
  "description": "Track public Amazon product search results across supported country storefronts. Export structured product records with price, currency, rating, seller or offer signals, source URL, query, and rank.",
  "offers": {
    "@type": "Offer",
    "price": "0.0093",
    "priceCurrency": "USD",
    "description": "Pay-per-result pricing for the result event"
  },
  "provider": {
    "@type": "Organization",
    "name": "TrueFetch",
    "url": "https://apify.com/truefetch"
  }
}

Last updated: 2026-06-29. Schema: Product search and price tracking Actor. Maintained by TrueFetch.