# Multi Store Price Tracker Amazon EBay Newegg Shopify (`b2b_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify`) Actor Monitor Amazon, eBay, Newegg & Shopify prices and stock in one run. Detect price drops, restocks, and changes. Build history, filter alerts, and send results to Slack, Sheets, or Zapier. - **URL**: https://apify.com/b2b\_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify.md - **Developed by:** [Chidubem Aneke](https://apify.com/b2b_leads) (community) - **Categories:** E-commerce, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Track prices on Amazon, eBay, Newegg & Shopify Stop refreshing product pages manually. This Actor watches your products for **price changes**, **stock changes**, and **restocks** — then saves the results and flags what matters. Works on **Amazon**, **eBay**, **Newegg**, and **Shopify** product pages. --- ### Who is this for? - **Deal hunters** waiting for a price drop - **Sellers** tracking competitors - **Dropshippers** monitoring source costs - **Researchers** building price datasets --- ### What you get Every run checks each product and returns: - Current **price** and **was price** - **In stock** or out of stock - **Price changed?** and by how much (%) - **Alert** flag when something important happened - **Price history** (low / high / average) over time - Title, seller, ratings, reviews, and images when available Rows with **alert = true** are the ones worth acting on — price drops, restocks, or stock changes you configured. --- ### Alerts & webhooks When a run finds a meaningful change, the product row gets **alert = true**. Use that to notify yourself or pipe data elsewhere: 1. Open your Actor → **Integrations** → **Add webhook**. 2. Trigger on **Actor run succeeded**. 3. In the payload filter or downstream step, keep only dataset items where **alert** is true. 4. Send to **Slack**, **email**, **Google Sheets**, **Zapier**, or any HTTP endpoint. **Tip:** Schedule daily runs so alerts compare today’s prices against yesterday’s baseline. --- ### Supported stores | Store | Product URL | Search by keyword | |-------|:-----------:|:-----------------:| | Amazon | ✅ | ✅ | | eBay | ✅ | ✅ | | Newegg | ✅ | ✅ | | Shopify | ✅ | — | For Shopify, paste the product link from any store (`/products/…` in the URL). --- ### How to run it 1. **Input → Product page URLs** — paste the links you want to watch. 2. **Optional:** add **Keyword searches** to find products on Amazon, eBay, or Newegg. 3. **Proxy settings** — keep **Residential** + **United States** (default). 4. Click **Start**. 5. Run again later (or **Schedule** daily) to detect changes. **Important:** The **first run** only saves baseline prices — **alerts start on the second run**. --- ### Input quick guide | Field | What to do | |-------|------------| | **Product page URLs** | Paste Amazon / eBay / Newegg / Shopify product links | | **Keyword searches** | Optional — search a store and track top results | | **Save price history** | Leave on to track min/max/avg prices | | **Alert when price drops** | Leave on; set **Minimum price drop %** (e.g. 5) | | **Alert when back in stock** | Leave on if you want restock notifications | | **Proxy settings** | Use US Residential (default) | **Recommended run settings:** memory depends on how many products you monitor (see below). **2 GB** is the safe default in Console; smaller jobs can use **1 GB** to save cost. #### Memory & cost (dynamic sizing) This Actor scales with how many product pages it opens: | Products to check (URLs + search results) | Recommended memory | Typical timeout | |-------------------------------------------|-------------------|-----------------| | 1–5 | **1024 MB** (1 GB) | 10 min | | 6–25 | **2048 MB** (2 GB) | 15 min | | 26–50 | **2048 MB** (2 GB) | 15 min | | 50+ | **4096 MB** (4 GB) | 20 min | **Console:** use **Run options → Memory** and pick the tier for your input. The run log warns if memory looks too low or suggests **1 GB** when you can save ~50% compute cost. **API / schedules:** use `npm run start-apify-run -- your-input.json` (sets memory and timeout automatically from input size). --- ### Example workflows **Catch a deal on Amazon** Add the `/dp/…` URL → set 5% drop threshold → schedule once per day. **Track a competitor on eBay** Add their listing URLs → enable “Alert on any price change”. **Monitor PC parts on Newegg** Search “Samsung SSD” or paste part URLs directly. **Watch a Shopify brand** Add that store’s `/products/…` links. --- ### FAQ **Why no alert the first time?** Nothing to compare yet. Run it at least twice. **Do I need my own proxies?** No — enable Apify Proxy (US Residential) in Input. **Can I monitor any Shopify store?** Yes, with a public product URL. --- ### Tips - Start with **5–10 products**, then scale up. - **Schedule** daily or twice daily for best results. - Filter your dataset for **alert = true** to see only changes that matter. --- Questions? Visit our [GitHub repo](https://github.com/DrunkCodes/Multi-Store-Price-Tracker-Amazon-eBay-Newegg-Shopify). Use responsibly and follow each store’s terms of service. # Actor input Schema ## `startUrls` (type: `array`): Paste links to the exact product pages you want to watch. We auto-detect Amazon, eBay, Newegg, and Shopify. For Shopify, use a URL that contains /products/. ## `searches` (type: `array`): Instead of pasting URLs, search Amazon, eBay, or Newegg by keyword and track the top matching products. Leave empty if you only use product URLs above. ## `trackHistory` (type: `boolean`): Keep a running history of each product’s price so you can see lowest, highest, and average over time. ## `alertOnPriceDrop` (type: `boolean`): Mark a product as an alert when the price falls by at least the threshold below. ## `priceDropThresholdPercent` (type: `number`): Example: 5 means you only get a price-drop alert if the price falls by 5% or more. Use 0 to alert on any decrease. ## `alertOnAnyPriceChange` (type: `boolean`): Also alert when the price goes up, not just down. Useful for competitor tracking. ## `alertOnStockChange` (type: `boolean`): Get notified when an item goes from in stock to out of stock, or the other way around. ## `alertOnBackInStock` (type: `boolean`): Get a dedicated alert when a product that was out of stock becomes available again. ## `proxyConfiguration` (type: `object`): Use Apify Proxy with US Residential for best results on Amazon and eBay. Leave the default unless you know you need something else. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.amazon.com/dp/B004YAVF8I" }, { "url": "https://www.ebay.com/itm/146322838621" }, { "url": "https://www.newegg.com/samsung-990-pro-2tb/p/N82E16820147796" }, { "url": "https://www.gymshark.com/products/gymshark-crest-joggers-black-ss22" } ], "searches": [ { "keyword": "wireless mouse", "platform": "amazon", "maxResults": 5 } ], "trackHistory": true, "alertOnPriceDrop": true, "priceDropThresholdPercent": 5, "alertOnAnyPriceChange": false, "alertOnStockChange": true, "alertOnBackInStock": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ```` # 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 = { "startUrls": [ { "url": "https://www.amazon.com/dp/B004YAVF8I" }, { "url": "https://www.ebay.com/itm/146322838621" }, { "url": "https://www.newegg.com/samsung-990-pro-2tb/p/N82E16820147796" }, { "url": "https://www.gymshark.com/products/gymshark-crest-joggers-black-ss22" } ], "searches": [ { "keyword": "wireless mouse", "platform": "amazon", "maxResults": 5 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("b2b_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify").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 = { "startUrls": [ { "url": "https://www.amazon.com/dp/B004YAVF8I" }, { "url": "https://www.ebay.com/itm/146322838621" }, { "url": "https://www.newegg.com/samsung-990-pro-2tb/p/N82E16820147796" }, { "url": "https://www.gymshark.com/products/gymshark-crest-joggers-black-ss22" }, ], "searches": [{ "keyword": "wireless mouse", "platform": "amazon", "maxResults": 5, }], } # Run the Actor and wait for it to finish run = client.actor("b2b_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify").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 '{ "startUrls": [ { "url": "https://www.amazon.com/dp/B004YAVF8I" }, { "url": "https://www.ebay.com/itm/146322838621" }, { "url": "https://www.newegg.com/samsung-990-pro-2tb/p/N82E16820147796" }, { "url": "https://www.gymshark.com/products/gymshark-crest-joggers-black-ss22" } ], "searches": [ { "keyword": "wireless mouse", "platform": "amazon", "maxResults": 5 } ] }' | apify call b2b_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=b2b_leads/multi-store-price-tracker-amazon-ebay-newegg-shopify", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi Store Price Tracker Amazon EBay Newegg Shopify", "description": "Monitor Amazon, eBay, Newegg & Shopify prices and stock in one run. Detect price drops, restocks, and changes. Build history, filter alerts, and send results to Slack, Sheets, or Zapier.", "version": "0.0", "x-build-id": "LQLSdPocW3Z24rtVL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2b_leads~multi-store-price-tracker-amazon-ebay-newegg-shopify/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2b_leads-multi-store-price-tracker-amazon-ebay-newegg-shopify", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/b2b_leads~multi-store-price-tracker-amazon-ebay-newegg-shopify/runs": { "post": { "operationId": "runs-sync-b2b_leads-multi-store-price-tracker-amazon-ebay-newegg-shopify", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/b2b_leads~multi-store-price-tracker-amazon-ebay-newegg-shopify/run-sync": { "post": { "operationId": "run-sync-b2b_leads-multi-store-price-tracker-amazon-ebay-newegg-shopify", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Product page URLs", "type": "array", "description": "Paste links to the exact product pages you want to watch. We auto-detect Amazon, eBay, Newegg, and Shopify. For Shopify, use a URL that contains /products/.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searches": { "title": "Keyword searches (optional)", "type": "array", "description": "Instead of pasting URLs, search Amazon, eBay, or Newegg by keyword and track the top matching products. Leave empty if you only use product URLs above.", "items": { "type": "object", "additionalProperties": false, "properties": { "keyword": { "title": "Search keyword", "type": "string", "description": "What to search for, e.g. wireless mouse, RTX 4070, airpods pro.", "editor": "textfield", "minLength": 1, "prefill": "wireless mouse" }, "platform": { "title": "Store", "type": "string", "description": "Which store to run the search on. Shopify is not supported for keyword search — use product URLs instead.", "editor": "select", "enum": [ "amazon", "ebay", "newegg" ], "enumTitles": [ "Amazon", "eBay", "Newegg" ], "default": "amazon" }, "maxResults": { "title": "Max products to track", "type": "integer", "description": "How many products from the search results to open and monitor (1–50).", "editor": "number", "default": 10, "minimum": 1, "maximum": 50 } }, "required": [ "keyword", "platform" ] } }, "trackHistory": { "title": "Save price history", "type": "boolean", "description": "Keep a running history of each product’s price so you can see lowest, highest, and average over time.", "default": true }, "alertOnPriceDrop": { "title": "Alert when price drops", "type": "boolean", "description": "Mark a product as an alert when the price falls by at least the threshold below.", "default": true }, "priceDropThresholdPercent": { "title": "Minimum price drop to alert (%)", "minimum": 0, "type": "number", "description": "Example: 5 means you only get a price-drop alert if the price falls by 5% or more. Use 0 to alert on any decrease.", "default": 5 }, "alertOnAnyPriceChange": { "title": "Alert on any price change", "type": "boolean", "description": "Also alert when the price goes up, not just down. Useful for competitor tracking.", "default": false }, "alertOnStockChange": { "title": "Alert when stock status changes", "type": "boolean", "description": "Get notified when an item goes from in stock to out of stock, or the other way around.", "default": true }, "alertOnBackInStock": { "title": "Alert when back in stock", "type": "boolean", "description": "Get a dedicated alert when a product that was out of stock becomes available again.", "default": true }, "proxyConfiguration": { "title": "Proxy settings", "type": "object", "description": "Use Apify Proxy with US Residential for best results on Amazon and eBay. Leave the default unless you know you need something else.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "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 } } } } } } } } } } ```