# Squareup Discovery Parser Spider (`getdataforme/squareup-discovery-parser-spider`) Actor This Apify Actor efficiently scrapes and extracts detailed product data from Squareup websites, including hardware and services.... - **URL**: https://apify.com/getdataforme/squareup-discovery-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **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 ### Description This Apify Actor efficiently scrapes and extracts detailed product data from Squareup websites, including hardware and services.... --- ## Squareup Discovery Parser Spider ### Introduction The Squareup Discovery Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Squareup (formerly Square) websites. It efficiently discovers and parses pages related to hardware, services, and other offerings, providing structured data for analysis and integration. This tool is ideal for businesses and developers needing reliable, automated data extraction from Squareup's ecosystem to support market research, competitive intelligence, and operational automation. ### Features - **Comprehensive Data Extraction**: Scrapes URLs, titles, descriptions, categories, and unique identifiers from Squareup pages. - **Flexible URL and Search Configuration**: Supports multiple starting URLs and search keys for targeted crawling. - **High-Performance Crawling**: Built on Apify's robust infrastructure for fast, scalable web scraping. - **Structured JSON Output**: Delivers clean, consistent data formats ready for downstream processing. - **Error-Resilient Parsing**: Handles dynamic content and site changes with built-in retry mechanisms. - **Customizable and Extensible**: Easily configurable inputs allow for tailored scraping tasks. - **Apify Integration**: Seamlessly integrates with Apify's platform for scheduling, monitoring, and data export. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|---------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | Yes | An array of URLs to start scraping from. Must be valid HTTP/HTTPS URLs. | ["https://squareup.com/us/en/hardware"] | | SearchKeys | array | No | An array of search terms to guide the spider's discovery process. | ["hardware", "payments"] | ### Example Usage #### Input Configuration ```json { "Urls": ["https://squareup.com/us/en/hardware"], "SearchKeys": ["hardware"] } ```` #### Output Example ```json [ { "url": "https://squareup.com/us/en/hardware/compare", "uid": "1098545990", "title": "POS Hardware and Equipment | Compare Hardware Models & Solutions | Square", "name": "POS Hardware and Equipment | Compare Hardware Models & Solutions | Square", "category": "Products", "description": "POS hardware & equipment for every business type. Unsure which Square technology is right for you? Compare hardware models & find out what best fits your needs.", "actor_id": "LG8mw3x5ezixKQoVt", "run_id": "cVkF9bhhZdX1A10ii" }, { "url": "https://squareup.com/us/en/hardware", "uid": "1098546136", "title": "POS Hardware and Equipment Square", "name": "POS Hardware and Equipment Square", "category": "Products", "description": "Square has POS hardware and equipment for every business type. \u2713Credit Card Machines \u2713POS Registers \u2713Mobile Credit Card Readers \u2713iPad Card Readers", "actor_id": "LG8mw3x5ezixKQoVt", "run_id": "cVkF9bhhZdX1A10ii" }, { "url": "https://squareup.com/us/en/hardware/contactless-chip-reader/specs", "uid": "1098545996", "title": "Credit card reader - Technical Specifications | Square", "name": "Credit card reader - Technical Specifications | Square", "category": "Products", "description": "See full technical specifications for Square Reader for contactless and chip - size, weight, compatible devices and more.", "actor_id": "LG8mw3x5ezixKQoVt", "run_id": "cVkF9bhhZdX1A10ii" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather insights on Squareup's product offerings to inform business strategies. - **Competitive Intelligence**: Monitor competitor hardware and services for pricing and feature comparisons. - **Price Monitoring**: Track changes in product descriptions and availability for e-commerce optimization. - **Content Aggregation**: Collect structured data for building databases or dashboards. - **Academic Research**: Extract data for studies on fintech and payment solutions. - **Business Automation**: Integrate scraped data into workflows for automated reporting or alerts. ### Installation and Usage 1. Search for "Squareup Discovery Parser Spider" 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 page. Key fields include: - `url`: The full URL of the page. - `uid`: A unique identifier for the page. - `title` and `name`: The page title or name. - `category`: The category (e.g., "Products"). - `description`: A summary or meta description. - `actor_id` and `run_id`: Identifiers for the Apify Actor run. This structured format ensures easy parsing and integration with other tools. ### 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 ## `Urls` (type: `array`): The urls for the spider. ## `SearchKeys` (type: `array`): The search keys for the spider. ## Actor input object example ```json { "Urls": [ "https://squareup.com/us/en/" ], "SearchKeys": [ "hardware" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/squareup-discovery-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/squareup-discovery-parser-spider").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 '{}' | apify call getdataforme/squareup-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/squareup-discovery-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Squareup Discovery Parser Spider", "description": "This Apify Actor efficiently scrapes and extracts detailed product data from Squareup websites, including hardware and services....", "version": "0.0", "x-build-id": "bvG2Ml4qL1zyIF4Jz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~squareup-discovery-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-squareup-discovery-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~squareup-discovery-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-squareup-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~squareup-discovery-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-squareup-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://squareup.com/us/en/" ], "items": { "type": "string" } }, "SearchKeys": { "title": "Search Keys", "type": "array", "description": "The search keys for the spider.", "default": [ "hardware" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```