# Amazon Product Research & Price Intelligence (`ramsford/amazon-product-intelligence`) Actor Scrape Amazon by ASIN or keyword. Returns price, BSR, rating, review count, seller, availability — plus per-ASIN price-history deltas, price-drop alerts, and review theme mining. Built for FBA sellers and brand managers. Pay per product record. - **URL**: https://apify.com/ramsford/amazon-product-intelligence.md - **Developed by:** [Don Johnson](https://apify.com/ramsford) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $40.00 / 1,000 product records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Amazon Product Research & Price Intelligence **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: ```json { "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: ```json { "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 ```json { "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. | Field | Purpose | | --- | --- | | `asins` | Watchlist of 10-char ASINs to scrape. | | `keyword` | Amazon search term; top results' ASINs are added to the run. | | `category` | Amazon category alias (e.g. `electronics`, `books`, `kitchen`) to scope keyword search. | | `maxSearchResults` | How many top search results to capture per keyword. | | `marketplace` | `amazon.com` (default), `amazon.co.uk`, `amazon.de`, `amazon.co.jp`, etc. | | `extractReviews` | If `true`, emit a separate review-summary record per ASIN. | | `maxReviewsPerProduct` | Cap on reviews pulled per product. | | `priceAlertThreshold` | % drop vs prior run that triggers `priceAlert: true`. `0` disables. | | `proxy` | Apify proxy config — residential strongly recommended. | *** ### 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 | Capability | This actor | Most marketplace scrapers | | --- | --- | --- | | Built-in price-history rolling window | ✅ key-value store, per ASIN | ❌ external storage required | | Change-delta annotation on every record | ✅ `priceDelta` block | ❌ | | Price-drop alerts (threshold flag) | ✅ `priceAlert: true` | ❌ | | Review theme mining (positive/negative) | ✅ rule-based, no LLM cost | ❌ raw reviews only | | BSR multi-category capture | ✅ `bsr.all[]` | ⚠️ usually just top rank | | Combined ASIN + keyword input | ✅ both in one run | ⚠️ usually one or the other | | 12 marketplaces (US, EU, JP, BR, MX, etc.) | ✅ | ⚠️ usually US-only | *** ### 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. # Actor input Schema ## `asins` (type: `array`): List of Amazon ASINs to scrape (e.g. 'B08N5WRWNW'). Use this OR 'keyword' (or both). ## `keyword` (type: `string`): Amazon keyword search. Use alone or alongside ASINs. The top 'maxSearchResults' products are pulled. ## `category` (type: `string`): Amazon category alias for keyword search (e.g. 'electronics', 'books', 'kitchen'). Leave blank for all departments. ## `maxSearchResults` (type: `integer`): When 'keyword' is set, how many top results to fetch product pages for. ## `marketplace` (type: `string`): Amazon marketplace domain. Defaults to amazon.com (US). ## `extractReviews` (type: `boolean`): Pull top reviews and emit a positive/negative theme summary (no AI cost — local heuristics). ## `maxReviewsPerProduct` (type: `integer`): How many top reviews to fetch when 'extractReviews' is on. ## `priceAlertThreshold` (type: `integer`): If the current price is at least this % below the most recent stored price, the record is flagged with 'priceAlert: true'. Set to 0 to disable. ## `proxy` (type: `object`): Apify proxy. Residential is strongly recommended for Amazon. ## Actor input object example ```json { "asins": [ "B08N5WRWNW", "B09B8V1LZ3" ], "keyword": "wireless earbuds", "maxSearchResults": 20, "marketplace": "amazon.com", "extractReviews": true, "maxReviewsPerProduct": 20, "priceAlertThreshold": 10, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("ramsford/amazon-product-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("ramsford/amazon-product-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call ramsford/amazon-product-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ramsford/amazon-product-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Research & Price Intelligence", "description": "Scrape Amazon by ASIN or keyword. Returns price, BSR, rating, review count, seller, availability — plus per-ASIN price-history deltas, price-drop alerts, and review theme mining. Built for FBA sellers and brand managers. Pay per product record.", "version": "0.5", "x-build-id": "5aaRZxUr81vRWYddo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ramsford~amazon-product-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ramsford-amazon-product-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ramsford~amazon-product-intelligence/runs": { "post": { "operationId": "runs-sync-ramsford-amazon-product-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ramsford~amazon-product-intelligence/run-sync": { "post": { "operationId": "run-sync-ramsford-amazon-product-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "asins": { "title": "ASINs", "type": "array", "description": "List of Amazon ASINs to scrape (e.g. 'B08N5WRWNW'). Use this OR 'keyword' (or both).", "items": { "type": "string" } }, "keyword": { "title": "Keyword search", "type": "string", "description": "Amazon keyword search. Use alone or alongside ASINs. The top 'maxSearchResults' products are pulled." }, "category": { "title": "Category filter (optional)", "type": "string", "description": "Amazon category alias for keyword search (e.g. 'electronics', 'books', 'kitchen'). Leave blank for all departments." }, "maxSearchResults": { "title": "Max search results per keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "When 'keyword' is set, how many top results to fetch product pages for.", "default": 20 }, "marketplace": { "title": "Marketplace domain", "enum": [ "amazon.com", "amazon.co.uk", "amazon.de", "amazon.fr", "amazon.it", "amazon.es", "amazon.ca", "amazon.com.au", "amazon.co.jp", "amazon.in", "amazon.com.mx", "amazon.com.br" ], "type": "string", "description": "Amazon marketplace domain. Defaults to amazon.com (US).", "default": "amazon.com" }, "extractReviews": { "title": "Extract & summarise reviews", "type": "boolean", "description": "Pull top reviews and emit a positive/negative theme summary (no AI cost — local heuristics).", "default": true }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 0, "maximum": 100, "type": "integer", "description": "How many top reviews to fetch when 'extractReviews' is on.", "default": 20 }, "priceAlertThreshold": { "title": "Price-drop alert threshold (%)", "minimum": 0, "maximum": 90, "type": "integer", "description": "If the current price is at least this % below the most recent stored price, the record is flagged with 'priceAlert: true'. Set to 0 to disable.", "default": 10 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy. Residential is strongly recommended for Amazon.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```