# Gapcanada Profile Scraper (`getdataforme/gapcanada-profile-scraper`) Actor Extract detailed product data from Gap Canada's website with this reliable Apify Actor. Features fast CheerioCrawler-based scraping, customizable inputs, and structured JSON outputs for titles, prices, reviews, images, and more.... - **URL**: https://apify.com/getdataforme/gapcanada-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Automation, E-commerce - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.05 / actor start 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 ## Gapcanada Profile Scraper ### Introduction The Gapcanada Profile Scraper is a powerful Apify Actor designed to extract detailed product information from Gap Canada's website. It efficiently scrapes product profiles, including titles, descriptions, pricing, availability, and more, enabling users to gather comprehensive data for various business needs. This tool is ideal for e-commerce professionals, researchers, and analysts seeking reliable, structured data from one of Canada's leading fashion retailers. ### Features - **Comprehensive Data Extraction**: Scrapes key product details such as title, description, price, discounts, ratings, reviews, sizes, colors, materials, and images. - **High Reliability**: Built on Apify's CheerioCrawler for fast, efficient scraping with robust error handling to ensure data accuracy. - **Customizable Crawling**: Supports multiple start URLs and configurable request limits to tailor the crawl to your specific needs. - **Structured Output**: Delivers clean, JSON-formatted data that's easy to integrate into databases, spreadsheets, or analytics tools. - **Performance Optimized**: Handles large-scale extractions with minimal resource usage, supporting up to 100 requests per crawl by default. - **Real-Time Scraping**: Captures the latest product information, including availability and pricing, at the time of crawl. - **Easy Integration**: Seamlessly works with Apify's ecosystem for scheduling, monitoring, and exporting results. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start the crawling process. These should be product or category pages from Gap Canada's website. | `[{"url": "https://www.gapcanada.ca/browse/division.do?cid=1059144"}]` | | maxRequestsPerCrawl | integer | No | The maximum number of requests the crawler can make during a single run. Helps control costs and avoid overloading the target site. Default is 100. | `50` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://www.gapcanada.ca/browse/division.do?cid=1059144" } ], "maxRequestsPerCrawl": 50 } ```` #### Output JSON ```json [ [ { "title": "7\" Easy Shorts", "description": "Shop Gap's 7" Easy Shorts: Smooth cotton-blend woven shorts., Elasticized waist with drawcords., Front slant pockets, back welt pockets., This product was made in a factory that invests in gender equality and women’s empowerment. Through RISE (Reimagining Industry to Support Equality) and Gap Inc.’s program P.A.C.E. (Personal Advancement & Career Enhancement), we support people who make our clothes to build the skills, knowledge, confidence, and resilience needed to advance in work and life. Learn more here., Product #880828", "price": "", "originalPrice": "", "discountPercentage": 0, "productId": "880828013", "category": [ "Men", "Shorts" ], "color": "Soft Black", "availableSizes": [ "XS", "S", "M", "L", "XL", "XXL" ], "unavailableSizes": [], "selectedSize": null, "rating": null, "reviewCount": 163, "features": [], "materials": "", "images": [ { "url": "https://www.gapcanada.cahttps://content.gapinc.com/b/0062/370/298/cn62370298.png?width=585", "alt": "Image number 1 showing, 7\" Easy Shorts" }, { "url": "https://www.gapcanada.cahttps://content.gapinc.com/b/0062/370/169/cn62370169.png?width=585", "alt": "Image number 2 showing, 7\" Easy Shorts" }, { "url": "https://www.gapcanada.cahttps://content.gapinc.com/b/0062/370/113/cn62370113.png?width=585", "alt": "Image number 3 showing, 7\" Easy Shorts" }, { "url": "https://www.gapcanada.cahttps://content.gapinc.com/b/0062/370/108/cn62370108.png?width=585", "alt": "Image number 4 showing, 7\" Easy Shorts" }, { "url": "https://www.gapcanada.cahttps://content.gapinc.com/b/0062/370/173/cn62370173.png?width=585", "alt": "Image number 5 showing, 7\" Easy Shorts" }, { "type": "swatch", "url": "https://content.gapinc.com/b/0062/370/116/cn62370116.jpg?width=54", "index": 1 }, { "type": "swatch", "url": "https://content.gapinc.com/b/0062/370/141/cn62370141.jpg?width=54", "index": 2 }, { "type": "swatch", "url": "https://content.gapinc.com/b/0062/370/149/cn62370149.jpg?width=54", "index": 3 }, { "type": "swatch", "url": "https://content.gapinc.com/b/0062/524/504/cn62524504.jpg?width=54", "index": 4 } ], "canonicalUrl": "https://www.gapcanada.ca/browse/product.do?pid=880828013", "scrapedAt": "2026-05-20T12:05:41.302Z" } ] ] ``` ### Use Cases - **Market Research and Analysis**: Gather product data to analyze trends, pricing strategies, and consumer preferences in the fashion industry. - **Competitive Intelligence**: Monitor Gap Canada's offerings to compare with competitors and identify market gaps. - **Price Monitoring**: Track price changes, discounts, and promotions to optimize pricing or alert on deals. - **Content Aggregation**: Collect product details for creating catalogs, blogs, or e-commerce platforms. - **Academic Research**: Study consumer behavior, fashion trends, or retail economics using real-world data. - **Business Automation**: Automate data collection for inventory management, reporting, or integration with CRM systems. ### Installation and Usage 1. Search for "Gapcanada Profile Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a scraped product profile. Key fields include: - `title`: Product name. - `description`: Detailed product description. - `price` and `originalPrice`: Current and original pricing. - `discountPercentage`: Discount applied. - `productId`: Unique identifier. - `category`, `color`, `availableSizes`, `unavailableSizes`: Categorization and availability details. - `rating`, `reviewCount`: Customer feedback metrics. - `features`, `materials`: Additional product attributes. - `images`: Array of image URLs. - `canonicalUrl`: Product page URL. - `scrapedAt`: Timestamp of scraping. This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract comprehensive product data from Gap Canada effortlessly. Features fast CheerioCrawler-based scraping, customizable inputs, and structured JSON outputs for titles, prices, reviews, and more. Perfect for market research, price monitoring, and competitive analysis. Start scraping today on Apify! (248 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.gapcanada.ca/browse/product.do?pid=880828013&vid=1&pcid=5156&cid=5156&nav=meganav%3AMen%3ACategories%3AShorts" } ], "maxRequestsPerCrawl": 100 } ``` # 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 = { "startUrls": [ { "url": "https://www.gapcanada.ca/browse/product.do?pid=880828013&vid=1&pcid=5156&cid=5156&nav=meganav%3AMen%3ACategories%3AShorts" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/gapcanada-profile-scraper").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.gapcanada.ca/browse/product.do?pid=880828013&vid=1&pcid=5156&cid=5156&nav=meganav%3AMen%3ACategories%3AShorts" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/gapcanada-profile-scraper").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.gapcanada.ca/browse/product.do?pid=880828013&vid=1&pcid=5156&cid=5156&nav=meganav%3AMen%3ACategories%3AShorts" } ] }' | apify call getdataforme/gapcanada-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/gapcanada-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gapcanada Profile Scraper", "description": "Extract detailed product data from Gap Canada's website with this reliable Apify Actor. Features fast CheerioCrawler-based scraping, customizable inputs, and structured JSON outputs for titles, prices, reviews, images, and more....", "version": "0.0", "x-build-id": "7Hcd8qUwGA1iXWYmo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~gapcanada-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-gapcanada-profile-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~gapcanada-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-gapcanada-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~gapcanada-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-gapcanada-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```