# Gapcanada Reviews Scraper (`getdataforme/gapcanada-reviews-scraper`) Actor Scrape authentic customer reviews from Gap Canada's product pages with this robust Apify Actor. Extracts ratings, comments, headlines, and user details like height and size for market research and competitive intelligence.... - **URL**: https://apify.com/getdataforme/gapcanada-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Gapcanada Reviews Scraper ### Introduction The Gapcanada Reviews Scraper is a powerful Apify Actor designed to extract customer reviews from Gap Canada's product pages efficiently and reliably. It leverages web scraping technology to gather detailed review data, including ratings, comments, and user details, enabling businesses and researchers to gain valuable insights into consumer sentiment. This tool is ideal for market analysis, competitive intelligence, and data-driven decision-making, providing high-quality, structured data with minimal setup. ### Features - **Comprehensive Review Extraction**: Scrapes detailed reviews including ratings, comments, headlines, and user properties like height and size feedback. - **High Reliability**: Built on Apify's robust CheerioCrawler, ensuring consistent performance and handling of dynamic web content. - **Customizable Crawling**: Supports multiple start URLs and configurable request limits to tailor scrapes to your needs. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis or integration into databases. - **Fast and Scalable**: Optimized for speed, capable of handling large volumes of reviews without compromising data integrity. - **Error-Resilient**: Includes built-in error handling to manage network issues or site changes gracefully. - **Apify Integration**: Seamlessly integrates with Apify's platform for easy deployment, monitoring, and data export. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|---------| | startUrls | array | Yes | URLs to start the crawl with. Each URL should point to a Gap Canada product page. | [{"url": "https://www.gapcanada.ca/browse/product.do?pid=706174003&vid=1&pcid=6998&cid=6998"}] | | maxItems | integer | No | Maximum number of requests (pages) to crawl. Limits the scope to prevent overuse. | 100 | ### Example Usage #### Input Example ```json { "startUrls": [ { "url": "https://www.gapcanada.ca/browse/product.do?pid=706174003&vid=1&pcid=6998&cid=6998" } ], "maxItems": 50 } ```` #### Output Example ```json [ { "ugc_id": 573859106, "legacy_id": 573859106, "review_id": 573859106, "internal_review_id": 573859106, "details": { "comments": "These fit true to size, as expected. They have a little stretch to them, but not as much as some other jeans I have tried that stretch out too much as you wear them and become baggy by the end of the day. Color is very solid midnight black. The crotch is a little longer than i would have liked, which is why they didn't get 5 stars.", "headline": "Not overly stretchy", "brand_base_url": "https://www.gap.com/", "brand_name": "Gap", "nickname": "anonymous", "properties": [ { "key": "height", "label": "Height", "type": "tag", "value": [ "5'7\"" ] }, { "key": "overallsize", "label": "Overall size", "type": "tag", "value": [ "true to size" ] } ], "product_name": "Slim Jeans", "locale": "en_US", "source": "syndicated", "disclosure_code": "sweepstakes", "location": "Undisclosed", "created_date": 1770231135103, "updated_date": 1770290877130, "product_page_id": "709142", "product_variant": "709140002" }, "badges": { "is_staff_reviewer": false, "is_verified_buyer": true, "is_verified_reviewer": true }, "media": [], "metrics": { "helpful_votes": 0, "not_helpful_votes": 0, "rating": 4, "helpful_score": 0 } } ] ``` ### Use Cases - **Market Research**: Analyze customer feedback to identify trends in product satisfaction and preferences. - **Competitive Intelligence**: Compare reviews across similar products to benchmark against competitors. - **Price Monitoring**: Track sentiment related to pricing and value for money in reviews. - **Content Aggregation**: Collect and aggregate reviews for content creation or social media insights. - **Academic Research**: Gather data for studies on consumer behavior and e-commerce trends. - **Business Automation**: Automate review collection for dashboards or reporting tools. ### Installation and Usage 1. Search for "Gapcanada Reviews 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 output is an array of JSON objects, each representing a single review. Key fields include: - **ugc\_id/legacy\_id/review\_id/internal\_review\_id**: Unique identifiers for the review. - **details**: Contains core review info like comments, headline, product name, user properties (e.g., height, size), and timestamps. - **badges**: Indicates reviewer status (e.g., verified buyer). - **media**: Array for any attached images or videos (often empty). - **metrics**: Includes rating (1-5), helpful votes, and scores. Data is structured for easy parsing, with dates in Unix timestamp format. ### 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! *** ### PART 2: Concise Description Extract authentic customer reviews from Gap Canada's product pages with ease. This scraper delivers structured data on ratings, comments, and user details for market research and competitive analysis. Key features include customizable crawling, high reliability, and fast JSON output. Perfect for businesses automating insights or researchers studying consumer trends. Start scraping today on Apify! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (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=706174003&vid=1&pcid=6998&cid=6998" } ], "maxItems": 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=706174003&vid=1&pcid=6998&cid=6998" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/gapcanada-reviews-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=706174003&vid=1&pcid=6998&cid=6998" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/gapcanada-reviews-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=706174003&vid=1&pcid=6998&cid=6998" } ] }' | apify call getdataforme/gapcanada-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/gapcanada-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gapcanada Reviews Scraper", "description": "Scrape authentic customer reviews from Gap Canada's product pages with this robust Apify Actor. Extracts ratings, comments, headlines, and user details like height and size for market research and competitive intelligence....", "version": "0.0", "x-build-id": "iAyZ9PEKnMfcxVeVh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~gapcanada-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-gapcanada-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~gapcanada-reviews-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-gapcanada-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~gapcanada-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-gapcanada-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "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" } } } }, "maxItems": { "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 } } } } } } } } } } ```