# Price Tracker - Track Product Prices Across Any E-Commerce Site (`thirdwatch/price-tracker`) Actor Track product prices from Amazon, Flipkart, Shopify, eBay, Walmart, AliExpress, and any e-commerce site. Extracts price, original price, discount, availability, rating, brand. Supports 20+ Amazon domains. Schedule daily runs for price monitoring. 15x cheaper than alternatives. - **URL**: https://apify.com/thirdwatch/price-tracker.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.60 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Price Tracker — Track Product Prices Across Any E-Commerce Site Track product prices from Amazon, Flipkart, Shopify, Walmart, eBay, AliExpress, Etsy, Target, and thousands of other e-commerce sites. Extract current price, original price, discount percentage, availability, rating, brand, and more from any product URL. ### What does Price Tracker do? Price Tracker takes a list of product page URLs and extracts structured pricing data from each one. It works across e-commerce platforms using a multi-layered extraction engine: 1. **JSON-LD structured data** — Most reliable. Google requires this for product rich snippets, so the majority of e-commerce sites include it. 2. **OpenGraph meta tags** — Fallback for sites that use og:price tags. 3. **Microdata attributes** — Extracts from itemprop="price" and related attributes. 4. **Platform-specific DOM parsing** — Custom extractors for Amazon, Shopify, and other major platforms where structured data may be incomplete. This makes it work on virtually any e-commerce site, not just the major platforms. ### Why use this over alternatives? - **15x cheaper** than the leading competitor ($2/1K results vs $30/1K) - **Universal** — works on any site with structured product data, not just a handful of platforms - **20+ Amazon domains** — US, UK, India, Germany, France, Japan, Australia, Brazil, UAE, and more - **Indian e-commerce** — Flipkart, Myntra, AJIO, Snapdeal, Meesho, Nykaa support - **Discount tracking** — extracts both current price and original price, calculates discount percentage - **Scheduling-ready** — run daily or hourly to build price history over time ### Supported platforms Works on any e-commerce site with structured product data. Tested and optimized for: | Platform | Extraction method | Notes | |----------|-------------------|-------| | Amazon (20+ domains) | DOM + JSON-LD | .com, .in, .co.uk, .de, .fr, .it, .es, .ca, .co.jp, .com.au, .com.br, .ae, .sa, and more | | Flipkart | JSON-LD + TLS fingerprinting | Indian e-commerce leader | | Shopify stores | JSON API + JSON-LD | Any Shopify-powered store | | Walmart | JSON-LD | US retail | | eBay | JSON-LD | Global marketplace | | Etsy | JSON-LD | Handmade and vintage | | Target | JSON-LD | US retail | | AliExpress | JSON-LD | Global wholesale | | Myntra | JSON-LD | Indian fashion | | AJIO | JSON-LD + TLS | Indian fashion | | Snapdeal | JSON-LD | Indian marketplace | | WooCommerce stores | JSON-LD | Any WooCommerce site | | Any other site | JSON-LD / OpenGraph / Microdata | Works if the site has structured product data | ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `urls` | array of strings | Yes | — | Product page URLs to extract prices from | | `maxRetries` | integer (0-10) | No | 3 | Retry attempts per URL on failure | | `proxyCountry` | string | No | US | ISO country code for proxy routing. Use the country where the site operates for best results. | #### Example input ```json { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW", "https://www.amazon.in/dp/B0BSHF7WHW", "https://www.flipkart.com/apple-iphone-15/p/itm123", "https://www.walmart.com/ip/Apple-AirPods-Pro/1752657021", "https://myshopifystore.com/products/cool-gadget" ], "maxRetries": 3, "proxyCountry": "US" } ```` ### Output Each product URL produces one result with the following fields: | Field | Type | Description | |-------|------|-------------| | `url` | string | Original product URL | | `productName` | string | Product title | | `price` | number | Current selling price | | `originalPrice` | number | Original/list price before discount (if available) | | `currency` | string | Currency code (USD, INR, GBP, EUR, etc.) | | `discount` | string | Discount percentage (e.g., "20%") | | `availability` | string | "In Stock" or "Out of Stock" | | `rating` | number | Product rating (e.g., 4.5) | | `reviewCount` | integer | Number of reviews | | `imageUrl` | string | Product image URL | | `brand` | string | Brand or manufacturer name | | `platform` | string | Detected platform (amazon, shopify, flipkart, generic, etc.) | | `scrapedAt` | string | ISO 8601 timestamp of extraction | | `success` | boolean | Whether extraction succeeded | | `error` | string | Error message if failed, null otherwise | #### Example output ```json { "url": "https://www.amazon.com/dp/B0BSHF7WHW", "productName": "Apple AirPods Pro (2nd Generation)", "price": 189.99, "originalPrice": 249.99, "currency": "USD", "discount": "24%", "availability": "In Stock", "rating": 4.7, "reviewCount": 98453, "imageUrl": "https://m.media-amazon.com/images/I/61SUj2aKoEL._AC_SL1500_.jpg", "brand": "Apple", "platform": "amazon", "scrapedAt": "2026-05-20T11:30:00.000Z", "success": true, "error": null } ``` ### Use cases #### Competitor price monitoring Track competitor product prices daily. Schedule this actor to run every morning and export results to Google Sheets or your pricing dashboard. #### MAP compliance Monitor whether resellers are maintaining minimum advertised pricing across marketplaces. Track the same product across Amazon, Walmart, and individual retailer sites. #### Dropshipping margin tracking Compare supplier prices on AliExpress or Alibaba against your retail prices on Shopify. Detect when supplier price changes erode your margins. #### Cross-region price comparison Track the same Amazon product across US (.com), UK (.co.uk), India (.in), Germany (.de), and Japan (.co.jp) to identify regional pricing differences. #### Price history and trend analysis Schedule daily runs to build a price history dataset. Combine with Apify's dataset export to visualize trends in your BI tool. ### Cost This actor uses Pay-Per-Event pricing. You only pay for successfully extracted results. | Tier | Price per result | Cost per 1,000 results | |------|-----------------|----------------------| | FREE | $0.002 | $2.00 | | BRONZE | $0.0017 | $1.70 | | SILVER | $0.0013 | $1.30 | | GOLD | $0.001 | $1.00 | **Comparison with alternatives:** - Forward Workstation's Competitor Price Tracker: $30.00 per 1,000 results — **this actor is 15-30x cheaper** - Apify's E-commerce Scraping Tool: opaque pricing with enrichment add-ons ### How to schedule price monitoring 1. Run this actor once to verify it works with your URLs 2. Go to **Schedules** in the Apify Console 3. Create a new schedule with your desired frequency (daily, hourly, weekly) 4. Set this actor as the target with your product URLs as input 5. Results accumulate in the dataset — export to Google Sheets, webhook to Slack, or consume via API ### Integration Results are available via: - **Apify API** — fetch results programmatically from any language - **Webhooks** — get notified when a run completes - **Google Sheets** — direct export integration - **Zapier / Make / n8n** — connect to 1000+ apps - **CSV / JSON / Excel** — download from the Apify Console ### Limitations - Sites behind login walls or requiring authentication are not supported - Some heavily protected sites (Cloudflare Turnstile, advanced CAPTCHAs) may fail - Sites without any structured product data (no JSON-LD, OpenGraph, or microdata) cannot be extracted from - Currency detection depends on structured data or domain mapping — some small sites may not include it - Price Tracker extracts the current snapshot. Build price history by scheduling repeated runs. ### Technical details - **Runtime:** Python 3.14, HTTP-only (no browser) - **Memory:** 256 MB default, 512 MB max - **Proxy:** Residential proxy with country routing - **Concurrency:** 3 parallel requests for faster processing - **TLS fingerprinting:** Chrome TLS fingerprint via impit to avoid blocks on protected sites # Actor input Schema ## `urls` (type: `array`): Product page URLs to track prices for. Supports Amazon (all 20+ country domains), Flipkart, Shopify stores, eBay, Walmart, AliExpress, Etsy, Target, and any e-commerce site with structured product data. ## `maxRetries` (type: `integer`): Number of retry attempts per URL on failure. Increase for heavily-protected sites. ## `proxyCountry` (type: `string`): ISO country code for proxy routing. Use the country where the e-commerce site operates for best results (e.g. IN for amazon.in/flipkart.com, US for amazon.com). ## Actor input object example ```json { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW", "https://www.amazon.in/dp/B0BSHF7WHW" ], "maxRetries": 3, "proxyCountry": "US" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW", "https://www.amazon.in/dp/B0BSHF7WHW" ] }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/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 = { "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW", "https://www.amazon.in/dp/B0BSHF7WHW", ] } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "urls": [ "https://www.amazon.com/dp/B0BSHF7WHW", "https://www.amazon.in/dp/B0BSHF7WHW" ] }' | apify call thirdwatch/price-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/price-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Price Tracker - Track Product Prices Across Any E-Commerce Site", "description": "Track product prices from Amazon, Flipkart, Shopify, eBay, Walmart, AliExpress, and any e-commerce site. Extracts price, original price, discount, availability, rating, brand. Supports 20+ Amazon domains. Schedule daily runs for price monitoring. 15x cheaper than alternatives.", "version": "1.0", "x-build-id": "eowMBYRPrtduU8L5y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~price-tracker/runs": { "post": { "operationId": "runs-sync-thirdwatch-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~price-tracker/run-sync": { "post": { "operationId": "run-sync-thirdwatch-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Product URLs", "type": "array", "description": "Product page URLs to track prices for. Supports Amazon (all 20+ country domains), Flipkart, Shopify stores, eBay, Walmart, AliExpress, Etsy, Target, and any e-commerce site with structured product data.", "items": { "type": "string" } }, "maxRetries": { "title": "Max Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of retry attempts per URL on failure. Increase for heavily-protected sites.", "default": 3 }, "proxyCountry": { "title": "Proxy Country", "enum": [ "US", "GB", "IN", "DE", "FR", "ES", "IT", "CA", "JP", "AU", "BR", "MX", "AE", "SG", "SA", "NL", "PL", "SE" ], "type": "string", "description": "ISO country code for proxy routing. Use the country where the e-commerce site operates for best results (e.g. IN for amazon.in/flipkart.com, US for amazon.com).", "default": "US" } } }, "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 } } } } } } } } } } ```