# Gfsstore Profile Scraper (`getdataforme/gfsstore-profile-scraper`) Actor The Gfsstore Profile Scraper efficiently extracts detailed product data from Gfsstore, ideal for businesses and researchers. It offers comprehensive data extraction, high data quality, and scalable performance.... - **URL**: https://apify.com/getdataforme/gfsstore-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Gfsstore Profile Scraper The Gfsstore Profile Scraper is a powerful tool designed to extract detailed product information from the Gfsstore website. This actor is ideal for businesses and researchers looking to gather comprehensive data on product listings, including pricing, inventory, and detailed descriptions. ### Features - **Comprehensive Data Extraction**: Scrapes detailed product information including price, inventory status, and descriptions. - **High Data Quality**: Ensures accurate and up-to-date data by leveraging robust scraping techniques. - **Efficient Performance**: Optimized for fast data retrieval, minimizing wait times. - **User-Friendly Interface**: Easy to configure and run, even for users with minimal technical expertise. - **Scalable**: Capable of handling multiple URLs simultaneously for large-scale data collection. - **Reliable**: Built with error handling to manage and recover from common scraping issues. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|--------|----------|------------------------------|---------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `["https://gfsstore.com/en-us/products/241939/"]` | ### Example Usage #### Example Input JSON ```json { "startUrls": [ { "url": "https://gfsstore.com/en-us/products/241939/" } ] } ```` #### Example Output JSON ```json [ { "url": "https://gfsstore.com/en-us/products/241939/", "productId": 16098, "sku": "241939", "reorderNumber": 241939, "upc": "", "brand": "Gordon Choice", "title": "Sign In", "location": "Aisle 7", "price": { "formatted": "$51.99", "value": 51.99, "unit": "case" }, "inventory": { "quantity": 1, "store": "Colorado Springs", "inStock": true }, "description": { "features": [ "These tall fold, two-ply disposable dinner napkins are both stylish and practical. They measure 15 x 17 inches, and are always untouched and sanitary, ideal for high-volume applications.", "Enjoy a high-quality feel with an embossed, semi-crepe texture.", "Rest your silverware on these large napkins with little or no overhang.", "Poly-bag packaging ensures product quality and protection for unused napkins.", "Made from 100% recycled and 20% post-consumer fiber to conserve natural resources.", "This napkin is verified compostable by the Biodegradable Products Institute and is EcoLogo certified." ], "introduction": "Gordon Choice offers our widest variety of reliable, foundational products to help you serve your best. With more than 2,000 items, you can be confident any Gordon Choice product will bring quality, taste and value to your business. It's where everyday needs meet dependability and selection. It's Gordon Choice.", "fullDescription": "Product DescriptionThese tall fold, two-ply disposable dinner napkins are both stylish and practical. They measure 15 x 17 inches, and are always untouched and sanitary, ideal for high-volume applications.Enjoy a high-quality feel with an embossed, semi-crepe texture.Rest your silverware on these large napkins with little or no overhang.Poly-bag packaging ensures product quality and protection for unused napkins.Made from 100% recycled and 20% post-consumer fiber to conserve natural resources.This napkin is verified compostable by the Biodegradable Products Institute and is EcoLogo certified." }, "details": { "caseQuantity": "28", "dimensions": "15 x 17 Inch" }, "images": [ { "full": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-PNB-6-1762861732.jpg", "thumbnail": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-PNB-6-1762861732-300x300.jpg", "alt": "Dinner Napkins | Styled" }, { "full": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-IPG-6-1762861736.jpg", "thumbnail": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-IPG-6-1762861736-300x300.jpg", "alt": "Dinner Napkins | Packaged" }, { "full": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-PKG-6-1762861731.jpg", "thumbnail": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-PKG-6-1762861731-300x300.jpg", "alt": "Dinner Napkins | Packaged" }, { "full": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-RAW-6-1762861729.jpg", "thumbnail": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-RAW-6-1762861729-300x300.jpg", "alt": "Dinner Napkins | Raw Item" }, { "full": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-COR-6-1762861739.jpg", "thumbnail": "https://gfsstore.com/wp-content/uploads/2025/11c/241939-COR-6-1762861739-300x300.jpg", "alt": "Dinner Napkins | Corrugated Box" } ], "scrapedAt": "2026-04-10T06:43:19.794Z" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data for market trends and consumer preferences. - **Competitive Intelligence**: Monitor competitor pricing and product offerings. - **Price Monitoring**: Track price changes over time for strategic pricing decisions. - **Content Aggregation**: Compile product information for content creation. - **Academic Research**: Collect data for academic studies on retail and consumer behavior. - **Business Automation**: Automate data collection for inventory management systems. ### Installation and Usage 1. Search for "Gfsstore 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 output is a JSON array where each object contains: - **url**: The product page URL. - **productId**: Unique identifier for the product. - **sku**: Stock Keeping Unit. - **reorderNumber**: Reorder number for the product. - **brand**: Brand name. - **title**: Product title. - **location**: Store location. - **price**: Object containing formatted price, value, and unit. - **inventory**: Object with quantity, store, and in-stock status. - **description**: Object with features, introduction, and full description. - **details**: Object with case quantity and dimensions. - **images**: Array of image objects with full and thumbnail URLs and alt text. - **scrapedAt**: Timestamp of when the data was scraped. ### 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! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://gfsstore.com/en-us/products/241939/" } ] } ``` # Actor output Schema ## `results` (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://gfsstore.com/en-us/products/241939/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/gfsstore-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://gfsstore.com/en-us/products/241939/" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/gfsstore-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://gfsstore.com/en-us/products/241939/" } ] }' | apify call getdataforme/gfsstore-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/gfsstore-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gfsstore Profile Scraper", "description": "The Gfsstore Profile Scraper efficiently extracts detailed product data from Gfsstore, ideal for businesses and researchers. It offers comprehensive data extraction, high data quality, and scalable performance....", "version": "0.0", "x-build-id": "cAEjqpAfFtPsCpS9B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~gfsstore-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-gfsstore-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~gfsstore-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-gfsstore-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~gfsstore-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-gfsstore-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" } } } } } }, "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 } } } } } } } } } } ```