# Amazon Price Tracker & Alert (`missingreports/amazon-price-tracker`) Actor Track Amazon product prices over time. Search by keyword, extract live price, list price, deal status, rating, BSR and seller for any marketplace. Export to dataset for trend monitoring and price-drop alerts. - **URL**: https://apify.com/missingreports/amazon-price-tracker.md - **Developed by:** [MissingReports](https://apify.com/missingreports) (community) - **Categories:** E-commerce, SEO tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00499 / result 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Price Tracker & Product Scraper Scrape Amazon search results and product pages with a real browser. Alternative Amazon API with no limits or quotas. Track competitors, spot price drops, and build product datasets for repricing, deal alerts, and market research. ### What data can you scrape from Amazon? - 💲 Current price and list price - 🏷️ Deal badge (lightning deal, coupon, savings %) - ⭐ Star rating and review count - 📊 Best Sellers Rank (BSR) - 📦 Availability and shipping info - 🏪 Seller / brand - 🖼️ Product image ### Use cases for Amazon data - **Price tracking & drop alerts** — monitor any ASIN and get alert-ready data when the price moves - **Competitor monitoring** — watch rival listings, deal status, and BSR over time - **Market research** — build datasets of products, prices, and ratings for any keyword or category - **Dynamic pricing** — feed scraped prices into your own repricing or arbitrage workflow - **Deal discovery** — surface lightning deals and coupons automatically ### How it works 1. Enter one or more **keywords** (or an Amazon domain like `amazon.com`, `amazon.co.uk`). 2. Set **max items** per keyword. 3. Run the Actor. Results stream to the default dataset as structured JSON, ready to export as CSV or Excel. The scraper renders pages in a headless browser and rotates through Apify's proxy pool, so Amazon's anti-bot defenses are handled for you. Your machine and IP are never used. ### Input Configure the options in the Actor input UI, then **Run**. See the Input tab for the full schema. ### Output Structured results are saved to the default dataset (JSON / CSV / Excel export available). ### Monetization Set a price (free trial + per-result) in the Apify Console, then make the Actor public in the Apify Store. # Actor input Schema ## `amazonDomain` (type: `string`): Which Amazon site to scrape (e.g. amazon.com, amazon.co.uk, amazon.de). ## `keywords` (type: `array`): Product search queries (one per line). The Actor searches each and extracts matching product offers. ## `maxItems` (type: `integer`): Stop after collecting this many products per search keyword. ## `proxyConfiguration` (type: `object`): Use Apify residential/datacenter proxies for Amazon to avoid blocks. ## Actor input object example ```json { "amazonDomain": "amazon.com", "keywords": [ "wireless earbuds", "mechanical keyboard" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "keywords": [ "wireless earbuds", "mechanical keyboard" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("missingreports/amazon-price-tracker").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 = { "keywords": [ "wireless earbuds", "mechanical keyboard", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("missingreports/amazon-price-tracker").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 '{ "keywords": [ "wireless earbuds", "mechanical keyboard" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call missingreports/amazon-price-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=missingreports/amazon-price-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Price Tracker & Alert", "description": "Track Amazon product prices over time. Search by keyword, extract live price, list price, deal status, rating, BSR and seller for any marketplace. Export to dataset for trend monitoring and price-drop alerts.", "version": "0.1", "x-build-id": "22ZjgzDpzl6w7swNE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/missingreports~amazon-price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-missingreports-amazon-price-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/missingreports~amazon-price-tracker/runs": { "post": { "operationId": "runs-sync-missingreports-amazon-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/missingreports~amazon-price-tracker/run-sync": { "post": { "operationId": "run-sync-missingreports-amazon-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "amazonDomain": { "title": "Amazon marketplace domain", "enum": [ "amazon.com", "amazon.co.uk", "amazon.de", "amazon.fr", "amazon.ca", "amazon.com.au", "amazon.in", "amazon.co.jp" ], "type": "string", "description": "Which Amazon site to scrape (e.g. amazon.com, amazon.co.uk, amazon.de).", "default": "amazon.com" }, "keywords": { "title": "Search keywords", "type": "array", "description": "Product search queries (one per line). The Actor searches each and extracts matching product offers.", "items": { "type": "string" } }, "maxItems": { "title": "Max items per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Stop after collecting this many products per search keyword.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify residential/datacenter proxies for Amazon to avoid blocks." } } }, "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 } } } } } } } } } } ```