# Shopify Scraper — Products, Prices & Inventory Monitor (`sashaebashu/shopify-monitor`) Actor Scrape any Shopify store's products, prices and variants, and monitor price drops, restocks and new products. No API keys. Fast, multi-store, exportable. - **URL**: https://apify.com/sashaebashu/shopify-monitor.md - **Developed by:** [Sasha Ebashu](https://apify.com/sashaebashu) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. 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 ## Shopify Price & Inventory Monitor Scrape **every product from any Shopify store** — titles, vendors, prices, compare-at prices, variants, stock status and images — and **monitor changes over time**: price drops, price rises, restocks, sell-outs, new and removed products. Just enter a store domain. **No API keys, no login.** ### Two modes #### 1. Catalog — full product dump Get the complete catalog of any store. One row per product with all variants (size/color, price, compare-at price, SKU, in-stock flag), images, tags, vendor and timestamps. Run across many stores at once. Export to JSON, CSV, Excel or Google Sheets. #### 2. Monitor — only what changed 🔥 Run it on a schedule. The actor remembers the previous run and outputs **only the differences**: | changeType | meaning | |---|---| | `price_drop` / `price_rise` | a variant's price moved (with `oldPrice`, `newPrice`, `changePct`) | | `back_in_stock` / `out_of_stock` | a variant's availability flipped | | `new_product` / `removed_product` | a product appeared or disappeared | | `variant_added` / `variant_removed` | a size/color was added or dropped | Perfect for **competitor price tracking, restock alerts, dropshipping research and MAP-violation monitoring** — the things you check again and again. ### Why this one - **Monitoring, not just a snapshot** — most Shopify scrapers only dump the catalog once. This one tracks change over time, so a daily schedule actually tells you something. - **Fast & cheap** — reads the store's public product feed directly with parallel pagination (≈9,000 products in a few seconds), datacenter proxy is enough. - **Multi-store** — watch dozens of competitors in a single run. - **Currency & shop name included** — pulled from the store's metadata, so prices are unambiguous across regions. - **Collection tagging & bestseller flags** — optionally tag every product with the collections (categories) it belongs to, and flag `isBestSeller` / `isOnSaleCollection` from the store's own best-seller and sale collections — data that the raw product feed does not expose. - **Run digest** — monitor runs write a summary (price drops, restocks, sold-outs, new/removed counts) to the key-value store under `DIGEST`, so a scheduled run gives you a glanceable report, not just raw rows. - **Clear status, no silent failures** — if a store has no public feed, is password-protected or blocks the request, it's reported in the log instead of just returning nothing. ### Input | Field | Description | |---|---| | `storeUrls` | Store domains or URLs (`gymshark.com`, `https://allbirds.com`). A `/collections/` URL limits to that collection. | | `mode` | `catalog` (full dump) or `monitor` (only changes since last run). | | `collections` | Limit to specific collection handles. Empty = whole store. | | `minPriceChangePct` | Monitor: ignore price moves smaller than this %. | | `reportNewOnFirstRun` | Monitor: emit all products as new on the first (baseline) run. | | `includeCollections` | Tag products with their collections + `isBestSeller`/`isOnSaleCollection` flags. | | `maxCollections` | Cap collections fetched per store when tagging is on. | | `maxProductsPerStore` | Cap per store (0 = unlimited). | ### Output (catalog) `store`, `productId`, `title`, `handle`, `url`, `vendor`, `productType`, `tags`, `variantsCount`, `inStockVariants`, `available`, `minPrice`, `maxPrice`, `compareAtPrice`, `onSale`, `discountPct`, `createdAt`, `updatedAt`, `publishedAt`, `featuredImage`, `images`, `variants[]`. ### Notes Works on any standard Shopify store that exposes the public `/products.json` feed (the vast majority do). Monitor mode stores its baseline in the actor's key-value store, so keep using the same actor/schedule for change tracking to work. # Actor input Schema ## `storeUrls` (type: `array`): Shopify store domains or URLs, e.g. gymshark.com, https://www.allbirds.com. A /collections/ URL limits scraping to that collection. ## `mode` (type: `string`): catalog = dump every product with prices & variants. monitor = compare against the previous run and output only what changed (price drops/rises, back-in-stock, out-of-stock, new/removed products). ## `collections` (type: `array`): Limit scraping to these collection handles (e.g. mens-t-shirts). Empty = whole store. ## `minPriceChangePct` (type: `integer`): In monitor mode, ignore price changes smaller than this percent. 0 = report all. ## `reportNewOnFirstRun` (type: `boolean`): Monitor mode: on the very first run there is no baseline. If on, emit every product as new_product; if off, just save the baseline silently. ## `includeVariants` (type: `boolean`): Include the full per-variant array (size/color, price, compare-at, stock) in catalog output. ## `includeImages` (type: `boolean`): Include product image URLs in catalog output. ## `includeCollections` (type: `boolean`): Tag each product with the collections (categories) it belongs to, and flag isBestSeller / isOnSaleCollection based on the store's best-seller and sale collections. Adds extra requests per store. A collection structure summary is saved to the run's key-value store under COLLECTIONS. ## `maxCollections` (type: `integer`): Cap how many collections to fetch when tagging is on (cost control). ## `maxProductsPerStore` (type: `integer`): Cap products fetched per store (0 = unlimited). ## `maxConcurrency` (type: `integer`): How many stores to fetch in parallel. ## `proxyConfiguration` (type: `object`): Apify Proxy (datacenter) is enough — Shopify product feeds are public. ## Actor input object example ```json { "storeUrls": [ "gymshark.com", "deathwishcoffee.com" ], "mode": "catalog", "collections": [], "minPriceChangePct": 0, "reportNewOnFirstRun": false, "includeVariants": true, "includeImages": true, "includeCollections": false, "maxCollections": 300, "maxProductsPerStore": 0, "maxConcurrency": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `overview` (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 = { "storeUrls": [ "gymshark.com", "deathwishcoffee.com" ], "collections": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sashaebashu/shopify-monitor").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 = { "storeUrls": [ "gymshark.com", "deathwishcoffee.com", ], "collections": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sashaebashu/shopify-monitor").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 '{ "storeUrls": [ "gymshark.com", "deathwishcoffee.com" ], "collections": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sashaebashu/shopify-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sashaebashu/shopify-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Scraper — Products, Prices & Inventory Monitor", "description": "Scrape any Shopify store's products, prices and variants, and monitor price drops, restocks and new products. No API keys. Fast, multi-store, exportable.", "version": "0.1", "x-build-id": "7uN5ZlYUvvePkzYUX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sashaebashu~shopify-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sashaebashu-shopify-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sashaebashu~shopify-monitor/runs": { "post": { "operationId": "runs-sync-sashaebashu-shopify-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sashaebashu~shopify-monitor/run-sync": { "post": { "operationId": "run-sync-sashaebashu-shopify-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "storeUrls": { "title": "Shopify store URLs", "type": "array", "description": "Shopify store domains or URLs, e.g. gymshark.com, https://www.allbirds.com. A /collections/ URL limits scraping to that collection.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "catalog", "monitor" ], "type": "string", "description": "catalog = dump every product with prices & variants. monitor = compare against the previous run and output only what changed (price drops/rises, back-in-stock, out-of-stock, new/removed products).", "default": "catalog" }, "collections": { "title": "Collections (optional)", "type": "array", "description": "Limit scraping to these collection handles (e.g. mens-t-shirts). Empty = whole store.", "items": { "type": "string" } }, "minPriceChangePct": { "title": "Min price change % (monitor)", "minimum": 0, "type": "integer", "description": "In monitor mode, ignore price changes smaller than this percent. 0 = report all.", "default": 0 }, "reportNewOnFirstRun": { "title": "Report all as new on first monitor run", "type": "boolean", "description": "Monitor mode: on the very first run there is no baseline. If on, emit every product as new_product; if off, just save the baseline silently.", "default": false }, "includeVariants": { "title": "Include variants", "type": "boolean", "description": "Include the full per-variant array (size/color, price, compare-at, stock) in catalog output.", "default": true }, "includeImages": { "title": "Include images", "type": "boolean", "description": "Include product image URLs in catalog output.", "default": true }, "includeCollections": { "title": "Tag products with collections", "type": "boolean", "description": "Tag each product with the collections (categories) it belongs to, and flag isBestSeller / isOnSaleCollection based on the store's best-seller and sale collections. Adds extra requests per store. A collection structure summary is saved to the run's key-value store under COLLECTIONS.", "default": false }, "maxCollections": { "title": "Max collections per store", "minimum": 1, "type": "integer", "description": "Cap how many collections to fetch when tagging is on (cost control).", "default": 300 }, "maxProductsPerStore": { "title": "Max products per store", "minimum": 0, "type": "integer", "description": "Cap products fetched per store (0 = unlimited).", "default": 0 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many stores to fetch in parallel.", "default": 10 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify Proxy (datacenter) is enough — Shopify product feeds are public." } } }, "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 } } } } } } } } } } ```