Amazon Product Research & Price Intelligence

Pricing

Rating

Developer

Actor stats

Categories

Share

Production-grade Amazon scraper with built-in price-history tracking, change-delta annotations, price-drop alerts, and review-theme mining. Built for Amazon FBA sellers, brand managers tracking MAP violations, retail-arbitrage scouts, e-commerce agencies, and price-comparison platforms.

Pay per product record. Run it daily on a watchlist of ASINs and you get an automatic, audited price-and-rank history per product — no separate database needed.

What you get per product

Every Amazon product page is parsed into a normalised record:

{
"asin":"B08N5WRWNW",
"marketplace":"amazon.com",
"title":"Echo Dot (4th Gen) | Smart speaker with Alexa | Charcoal",
"brand":"Amazon",
"price":29.99,
"currency":"USD",
"listPrice":49.99,
"discountPct":40,
"rating":4.7,
"reviewCount":547213,
"bsr":{
"top":{"rank":4,"category":"Electronics"},
"all":[
{"rank":4,"category":"Electronics"},
{"rank":1,"category":"Amazon Devices & Accessories"}
]
},
"availability":"In Stock",
"inStock":true,
"seller":"Amazon.com",
"fulfilledByAmazon":true,
"prime":true,
"coupon":null,
"imageUrl":"https://m.media-amazon.com/images/I/...jpg",
"breadcrumbs":["Electronics","Smart Home","Smart Speakers"],
"priceHistory":[
{"takenAt":"2026-05-13T08:00:00Z","price":34.99,"inStock":true,"seller":"Amazon.com"},
{"takenAt":"2026-05-14T08:00:00Z","price":32.99,"inStock":true,"seller":"Amazon.com"},
{"takenAt":"2026-05-15T08:00:00Z","price":29.99,"inStock":true,"seller":"Amazon.com"}
],
"priceDelta":{
"previousPrice":32.99,
"previousAt":"2026-05-14T08:00:00Z",
"deltaAbsolute":-3.00,
"deltaPercent":-9.09,
"direction":"down"
},
"priceAlert":false,
"url":"https://www.amazon.com/dp/B08N5WRWNW"
}

And if extractReviews is on, you also get one recordType: "reviews" record per ASIN with:

{
"asin":"B08N5WRWNW",
"recordType":"reviews",
"sampleSize":20,
"averageRating":4.65,
"themesPositive":[
{"theme":"Easy to use","count":11},
{"theme":"Great value","count":7},
{"theme":"High quality","count":5}
],
"themesNegative":[
{"theme":"Hard to set up","count":2}
],
"topPositive":[/* 3 most-helpful 4–5★ reviews */],
"topNegative":[/* 3 most-helpful 1–2★ reviews */]
}

Input

{
"asins":["B08N5WRWNW","B09B8V1LZ3"],
"keyword":"wireless earbuds",
"category":"electronics",
"maxSearchResults":20,
"marketplace":"amazon.com",
"extractReviews":true,
"maxReviewsPerProduct":20,
"priceAlertThreshold":10,
"proxy":{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}
}

You must supply at least one of asins or keyword. They can be combined: the keyword adds top search results to the ASIN watchlist for the same run.

How the price-history layer works

Every run, for every ASIN, the Actor appends to a price-history key in the amazon-price-history key-value store, keyed by marketplace + ASIN. The dataset record includes the full rolling history (last 50 points) and a priceDelta block comparing this run to the most recent prior price.

That means: schedule this Actor daily, and after a week you have a per-ASIN price chart with zero extra wiring. Hook the dataset into Make, Zapier, or a Google Sheet via Apify integrations and you have a working price-monitoring product.

priceAlert is set to true when the current price is at least priceAlertThreshold % below the most recent stored price — pipe that boolean into Slack, email, or your reorder workflow.

How the review mining works

Reviews are pulled from /product-reviews/{asin} (most-helpful sort). Each review is bucketed positive (4–5★) or negative (1–2★), then matched against a library of common e-commerce themes — Easy to use, Great value, Cheap build, Sizing issues, Broke quickly, etc. The result: a ranked list of what reviewers love and complain about, plus the 3 most-helpful reviews on each side. Pure rule-based, no LLM cost.

Anti-bot strategy

Amazon aggressively throttles unauthenticated scrapers. This Actor:

• Uses Apify residential proxy by default (RESIDENTIAL group).
• Uses Crawlee's session pool with cookie persistence, capped at 25 requests per session.
• Retires sessions and retries with a fresh IP on captcha/robot-wall detection.
• Throws on empty product pages so retries kick in instead of writing junk records.

If you have a low Apify proxy budget, switch to apifyProxyGroups: [] (datacenter) — works at smaller scales but expect higher captcha rates.

Pricing

Pay-Per-Event: one PPE event per product record. (Review records do not separately charge.) Suggested retail: $0.04 / product record — competitive with established Amazon scrapers on the marketplace and aligned to actual unit value.

Worked examples:

• Track 100 ASINs daily for a month → 3,000 records → ~$120/mo. Replaces a $200–$500/mo Keepa or Helium 10 plan for users who just need the raw signal.
• One-off market research scan of 500 keyword results → 500 records → ~$20.
• BSR monitor on a top-20 category, hourly → 480 records/day → ~$19/day.

Compared to commercial Amazon data APIs ($0.10–$0.30 / call at low volume), this is 2–7× cheaper and you keep the full normalized JSON.

Use Cases

FBA competitor watchlist

Schedule daily on the ASIN list of your 50 nearest competitors. Pipe priceAlert: true into Slack. Re-price within an hour of any competitor drop.

MAP-violation monitoring (brand managers)

Pass your branded ASINs and the marketplaces you sell on. Any record where price < MAP_floor is a violation you can flag to your channel team.

Retail arbitrage scout

Run with keyword = a clearance category and priceAlertThreshold = 30. Each run surfaces sudden 30%+ drops on a hot search.

BSR category monitor

Run with keyword = the category seed term and maxSearchResults = 50 daily. Track bsr.top.rank movement to see which products are gaining/losing momentum in the category.

Pricing-platform data layer

If you're building a Keepa-style price comparison tool, this Actor is the ingestion layer. The price-history key-value store is the audited source of truth — no separate DB needed for an MVP.

Differentiation vs other Amazon actors on the marketplace

Output

Two dataset record types:

1. Product record — one per ASIN, includes all product fields, price history, and delta. Charged as one PPE event.
2. Review record — one per ASIN when extractReviews=true, with theme summary and top reviews. Not charged.

Plus a SUMMARY key in the default key-value store with the run roll-up.

FAQ

Q: Does this work for amazon.in / amazon.co.jp / amazon.de? Yes — set marketplace accordingly. Selectors are the same across Amazon domains.

Q: How do I track price over time without re-running? Each run appends to a persistent key-value store. After N runs you have N data points per ASIN, embedded in every dataset record's priceHistory[].

Q: How do I get a 6-month BSR trend? Schedule this actor daily for 180 days. The priceHistory[] block holds last 50 points — for longer windows, sink the dataset into BigQuery or Google Sheets via Apify integrations and query from there.

Q: Can I just get a CSV? Apify's dataset view exports CSV directly. All fields flatten cleanly, including priceDelta.deltaPercent and bsr.top.rank.

Q: Will Amazon block me? Residential proxy + session pool handles 99% of regular use. Very large concurrent jobs may hit captcha — reduce maxSearchResults or scale by running with smaller ASIN batches.

Support

Open an Apify Console issue on this actor's page, or contact Johnson AI Consulting.