# Shopify Price & Sale Monitor — Track Price Drops, Sales & Stock (`bisketapis/shopify-price-sale-monitor`) Actor Monitor any Shopify store and get only what CHANGED since the last run — price drops/rises, sales started/ended, new & removed products and variants, sell-outs and restocks. Schedule it; pay per change. Pure HTTP, no login. - **URL**: https://apify.com/bisketapis/shopify-price-sale-monitor.md - **Developed by:** [Chris Lucas](https://apify.com/bisketapis) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 change detecteds 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 & Sale Monitor Track **what changed** in any Shopify store's catalog — not another full dump. Schedule this Actor (daily / weekly), and each run returns **only the changes since the last run**: price drops and increases, sales starting and ending, new and removed products and variants, sell-outs and restocks. Pure HTTP, no login, no per-store setup. ### What you get — one row per change | change_type | fires when | use it for | |---|---|---| | `price_drop` / `price_increase` | a variant's price moved | repricing intel, deal alerts | | `sale_started` / `sale_ended` | the compare-at price flipped on/off | promo & discount tracking | | `new_product` | a product appeared that wasn't there last run | launch / catalog-expansion alerts | | `new_variant` | a known product gained a variant | size/color additions | | `removed` | a variant disappeared | discontinued / delisted | | `sold_out` / `restocked` | a variant's availability flipped | back-in-stock & demand signals | Every row carries the **old and new value** plus both run timestamps (`prior_scraped_at`, `scraped_at`), so each change is auditable between two real observations. ### How it works 1. **First run on a store = baseline.** It records the catalog and emits **no** changes (you are not billed for changes on a baseline run). 2. **Every run after** compares the store to its previous snapshot and returns the deltas. 3. **Schedule it** (Apify Schedules) at the cadence you care about — the gap between runs is the window each change is measured over. > **Honesty note.** Shopify exposes a public `available` flag (in stock / out of stock), > **not** inventory quantities — so `sold_out` / `restocked` are availability flips, never > unit counts. `sale_started`/`sale_ended` and `price_pct`/`price_delta` are **derived** from > the observed `price` and `compare_at_price`. ### Input | Field | Description | |---|---| | `storeUrls` | Shopify store URLs or domains to monitor (e.g. `https://www.allbirds.com`). | | `mode` | `monitor` (report changes, default) or `baseline` (seed/reset only). | | `changeTypes` | Only report these change types (empty = all). | | `minPriceChangePct` | Suppress price moves smaller than this percent (noise filter). | | `collectionHandles` | Optional — monitor only these collections (split large catalogs). | | `maxProductsPerStore` | Cap per store (0 = unlimited). | | `requestDelayMs` | Politeness delay between requests (default 200). | ### Output (one row per change) `store_domain, change_type, product_id, product_title, product_url, variant_id, variant_title, sku, old_price, new_price, price_delta, price_pct, old_compare_at, new_compare_at, old_available, new_available, prior_scraped_at, scraped_at` ### Pricing Pay-per-event: a tiny per-run start fee plus a charge **per detected change**. Baseline runs and runs with no changes cost only the trivial start fee — you pay for deltas, not dumps. See the Store listing for current rates. ### Tips - For very large catalogs (tens of thousands of variants), split the store across `collectionHandles` so each snapshot stays small and runs stay cheap. - Set `minPriceChangePct` (e.g. `5`) to ignore penny-level repricing churn. # Actor input Schema ## `storeUrls` (type: `array`): Shopify store URLs or bare domains to monitor, e.g. https://www.allbirds.com. The first run on a store records a baseline (no changes billed); every run after it reports what changed since the previous run. ## `mode` (type: `string`): monitor (default): report changes since the last run. baseline: just (re)record the current catalog as the new starting point and emit nothing — use it to seed a store or reset after big intentional changes. ## `changeTypes` (type: `array`): Limit output to these change types. Leave empty to report all of them. ## `minPriceChangePct` (type: `integer`): Suppress price changes smaller than this percentage (noise filter). 0 = report every price change. Does not affect sale or stock changes. ## `collectionHandles` (type: `array`): If set, monitor only these collections via /collections//products.json instead of the whole store. Useful for splitting very large catalogs. ## `maxProductsPerStore` (type: `integer`): Cap the number of products read per store (0 = unlimited). ## `requestDelayMs` (type: `integer`): Politeness delay between page requests. ## Actor input object example ```json { "storeUrls": [ "https://www.allbirds.com" ], "mode": "monitor", "changeTypes": [], "minPriceChangePct": 0, "maxProductsPerStore": 0, "requestDelayMs": 200 } ```` # 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": [ "https://www.allbirds.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bisketapis/shopify-price-sale-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": ["https://www.allbirds.com"] } # Run the Actor and wait for it to finish run = client.actor("bisketapis/shopify-price-sale-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": [ "https://www.allbirds.com" ] }' | apify call bisketapis/shopify-price-sale-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bisketapis/shopify-price-sale-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Price & Sale Monitor — Track Price Drops, Sales & Stock", "description": "Monitor any Shopify store and get only what CHANGED since the last run — price drops/rises, sales started/ended, new & removed products and variants, sell-outs and restocks. Schedule it; pay per change. Pure HTTP, no login.", "version": "0.1", "x-build-id": "P7hkLTcn7vEo2pqRa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bisketapis~shopify-price-sale-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bisketapis-shopify-price-sale-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bisketapis~shopify-price-sale-monitor/runs": { "post": { "operationId": "runs-sync-bisketapis-shopify-price-sale-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bisketapis~shopify-price-sale-monitor/run-sync": { "post": { "operationId": "run-sync-bisketapis-shopify-price-sale-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "storeUrls" ], "properties": { "storeUrls": { "title": "Store URLs", "type": "array", "description": "Shopify store URLs or bare domains to monitor, e.g. https://www.allbirds.com. The first run on a store records a baseline (no changes billed); every run after it reports what changed since the previous run.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "monitor", "baseline" ], "type": "string", "description": "monitor (default): report changes since the last run. baseline: just (re)record the current catalog as the new starting point and emit nothing — use it to seed a store or reset after big intentional changes.", "default": "monitor" }, "changeTypes": { "title": "Change types to report", "type": "array", "description": "Limit output to these change types. Leave empty to report all of them.", "items": { "type": "string", "enum": [ "price_drop", "price_increase", "sale_started", "sale_ended", "new_product", "new_variant", "removed", "sold_out", "restocked" ], "enumTitles": [ "Price drop", "Price increase", "Sale started", "Sale ended", "New product", "New variant", "Removed", "Sold out", "Restocked" ] }, "default": [] }, "minPriceChangePct": { "title": "Minimum price change (%)", "minimum": 0, "type": "integer", "description": "Suppress price changes smaller than this percentage (noise filter). 0 = report every price change. Does not affect sale or stock changes.", "default": 0 }, "collectionHandles": { "title": "Collection handles (optional)", "type": "array", "description": "If set, monitor only these collections via /collections//products.json instead of the whole store. Useful for splitting very large catalogs.", "items": { "type": "string" } }, "maxProductsPerStore": { "title": "Max products per store", "minimum": 0, "type": "integer", "description": "Cap the number of products read per store (0 = unlimited).", "default": 0 }, "requestDelayMs": { "title": "Request delay (ms)", "minimum": 0, "type": "integer", "description": "Politeness delay between page requests.", "default": 200 } } }, "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 } } } } } } } } } } ```