# Shopify Discount Code Finder (`happitap/shopify-discount-finder`) Actor Automatically scan Shopify storefronts, banners, and announcement bars to extract working promotional discount codes and coupons - **URL**: https://apify.com/happitap/shopify-discount-finder.md - **Developed by:** [HappiTap](https://apify.com/happitap) (community) - **Categories:** E-commerce, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/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 ## Shopify Discount Code Finder **Automatically scan Shopify storefronts, banners, and announcement bars to extract working promotional discount codes and coupons.** Deal aggregators and coupon sites rely on massive teams to manually hunt for discount codes. This actor completely automates the process by employing advanced Regular Expressions (Regex) and targeted DOM parsing to extract promotional codes directly from Shopify storefronts. ### What can this Actor do? - ✅ **Smart Regex Detection** - Looks for standard promo phrases (e.g., "Use code WELCOME10", "code: FREESHIP", "SAVE20") across the entire webpage. - ✅ **Targeted Extraction** - Specifically hunts inside high-probability elements like top announcement bars, promotional banners, and headers where stores usually advertise their discounts. - ✅ **Contextual Descriptions** - Doesn't just find the code; it extracts the surrounding sentence so you know what the code actually does (e.g., "Get 20% off your first order"). - ✅ **High Speed** - Relies entirely on static `Cheerio` parsing, allowing it to scan thousands of stores rapidly. ### Why use this Actor? - 🎯 **Coupon Aggregators** - Automatically feed fresh, working discount codes into your Honey or RetailMeNot clones. - 🤝 **Competitive Intelligence** - Monitor exactly what discounts your competitors are currently offering. - 📊 **Marketing Analytics** - Track the frequency and types of promotions run by leading brands. ### How to use it 1. Enter a list of Shopify store URLs into the **Shopify Store URLs** field. 2. Set the **Max Pages to Scan Per Store** limit to control how deep the crawler looks (default is 5 pages, which usually hits the homepage, collections, and sale pages). 3. Click Start! ### How much does it cost? This actor uses a **Pay-Per-Event (PPE)** pricing model. You only pay for the exact number of unique discount codes successfully found! - **$2.00 per 1,000 codes extracted.** ### Output Example When a code is found, the actor pushes this data to your dataset: ```json { "storeUrl": "https://colourpop.com", "code": "WELCOME10", "description": "Use code WELCOME10 for 10% off your first order!", "foundOnUrl": "https://colourpop.com/", "scrapedAt": "2023-10-25T15:00:00.000Z" } ```` # Actor input Schema ## `storeUrls` (type: `array`): List of Shopify store URLs to scan for discount codes. ## `maxPagesPerStore` (type: `integer`): How deep into the store should the crawler look for codes? (Default 5) ## Actor input object example ```json { "storeUrls": [ { "url": "https://colourpop.com" } ], "maxPagesPerStore": 5 } ``` # Actor output Schema ## `results` (type: `string`): Extracted data items stored in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "storeUrls": [ { "url": "https://colourpop.com" } ], "maxPagesPerStore": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("happitap/shopify-discount-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": [{ "url": "https://colourpop.com" }], "maxPagesPerStore": 5, } # Run the Actor and wait for it to finish run = client.actor("happitap/shopify-discount-finder").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": [ { "url": "https://colourpop.com" } ], "maxPagesPerStore": 5 }' | apify call happitap/shopify-discount-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=happitap/shopify-discount-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Discount Code Finder", "description": "Automatically scan Shopify storefronts, banners, and announcement bars to extract working promotional discount codes and coupons", "version": "0.0", "x-build-id": "CqrdO0vRbeKZI1SVB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happitap~shopify-discount-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happitap-shopify-discount-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/happitap~shopify-discount-finder/runs": { "post": { "operationId": "runs-sync-happitap-shopify-discount-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/happitap~shopify-discount-finder/run-sync": { "post": { "operationId": "run-sync-happitap-shopify-discount-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Shopify Store URLs", "type": "array", "description": "List of Shopify store URLs to scan for discount codes.", "default": [ { "url": "https://colourpop.com" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerStore": { "title": "Max Pages to Scan Per Store", "minimum": 1, "maximum": 50, "type": "integer", "description": "How deep into the store should the crawler look for codes? (Default 5)", "default": 5 } } }, "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 } } } } } } } } } } ```