# Boundarysupply Urls Spider (`getdataforme/boundarysupply-urls-spider`) Actor Extract comprehensive product data from Boundary Supply, including titles, prices, images, and schema.org details. Perfect for e-commerce pros, researchers, and businesses needing reliable data for analysis, monitoring, and integration.... - **URL**: https://apify.com/getdataforme/boundarysupply-urls-spider.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 ### Description Extract comprehensive product data from Boundary Supply, including titles, prices, images, and schema.org details. Perfect for e-commerce pros, researchers, and businesses needing reliable data for analysis, monitoring, and integration.... --- ## Boundarysupply Urls Spider The Boundarysupply Urls Spider is a powerful Apify Actor designed to scrape product data from Boundary Supply's website, extracting detailed information such as titles, descriptions, prices, images, and structured schema.org data. It enables users to efficiently gather comprehensive product details for analysis, monitoring, or integration into other systems. This tool is ideal for e-commerce professionals, researchers, and businesses seeking reliable, structured data from Boundary Supply's product pages. ### Features - **Comprehensive Data Extraction**: Scrapes key product details including title, description, price, currency, images, and schema.org structured data for rich, machine-readable information. - **Flexible URL Input**: Accepts a list of URLs to target specific products, allowing for batch processing of multiple items in a single run. - **High Reliability**: Built with robust error handling to manage website changes and ensure consistent data retrieval. - **Structured Output**: Provides clean JSON output with nested objects for easy parsing and integration into databases or applications. - **Fast and Scalable**: Optimized for performance, handling multiple URLs efficiently without overloading the target site. - **Apify Integration**: Seamlessly runs on the Apify platform, supporting monitoring, scheduling, and export to various formats like CSV or Excel. - **No Coding Required**: User-friendly interface for non-technical users to configure and execute scrapes. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | No | A list of URLs to scrape product data from Boundary Supply. Each URL must be a valid HTTP or HTTPS link. Minimum of 1 URL required. | ["https://www.boundarysupply.com/products/errant-pro-x-pac"] | ### Example Usage To run the Boundarysupply Urls Spider, provide input in JSON format like this: ```json { "Urls": [ "https://www.boundarysupply.com/products/errant-pro-x-pac" ] } ```` The output will be a JSON array of objects, each containing detailed product information. Here's an example output for the provided URL: ```json [ { "url": "https://www.boundarysupply.com/products/errant-pro-x-pac", "title": "Errant Pro X-Pac Backpack", "description": "Meet the Errant Pro X-Pac, a professional modular backpack crafted with weatherproof VX21 fabric, designed for organized carry from the office to global travel.", "image": "http://www.boundarysupply.com/cdn/shop/files/ERRANTPROX-PAC_c1aac6cd-8578-472d-9b57-68717cf66c14.jpg?v=1750969300", "price": "424", "currency": "USD", "schema_org": { "@context": "http://schema.org/", "@id": "/products/errant-pro-x-pac#product", "@type": "ProductGroup", "brand": { "@type": "Brand", "name": "Boundary Supply" }, "category": "Backpacks", "description": "\n\nThe Errant Pro X-Pac is a rugged, modular backpack built for professionals who need maximum organization and flexibility. Made with durable, American-made VX21 X-Pac fabric, it's weatherproof and ready for work, travel, or daily use. With padded laptop storage, easy-access pockets, and a customizable carry system, it\u2019s made to handle everything you need\u2014on the go or in the office.\n\n\nSpecs\n\n\nDimensions: 13W x 20.5H x 7.9D\" / 33W x 52H x 20D cm\nCapacity: 31 L\nWeight: 4.29 lbs. / 1.94 kg\nLaptop size: up to 17\"\n\n\n\n\nFeatures\n\n\nMade in the USA VX21 X-Pac fabric for extreme durability\nMagnetic flap closure auto-compresses and adjusts for a perfect fit\nLarge side zipper opens to main compartment\nExpandable side pocket fits a 22oz bottle or tripod\nClamshell-style opening with YKK\u00ae WR #10 zipper\nInterior divider panel with Quick Rip zipper for flexible organization\nLockable zipper pulls at all main access points\nTop pocket with Nywool\u2122 lining for sunglasses or valuables\nPadded Nywool\u2122 laptop sleeve with secure buckle (fits up to 17\")\nTablet and stretch pockets for fast access\nMagDock commuter pocket for cords and essentials\nFront stash pocket for a rain jacket or small gear\nLuggage pass-through for easy travel\nHidden RFID-blocking pocket for your passport\n360\u00ba reflective lash loops for modular gear add-ons\nLower compression straps with quick-release buckles\nComfortable LFT\u2122 EVA shoulder harness with magnetic chest strap\nErgonomic back panel with lumbar support and removable waist belt\n\n\n\n\nCompatible Accessories\n\n\nAdventure Waist Belt\nAux Compartment X-Pac\nCB-1 Camera Insert\nDivider Floor\nErrant Thermal Insert\nEXM Port\nH.T. Key Clip\nMK-2 LT\nPK-1 Packing Cube\nPort Kitt X-Pac\nSmall Tech Organizer\nStasis Sling Pro\nTech Case\n\n\n\n\n Shipping + Returns\nEnjoy free 2-day express shipping on U.S. orders $100+ and fast international shipping on orders $400+. Learn more about Boundary\u2019s fast U.S. and international shipping options. 30-day return policy.\n\n", "hasVariant": [ { "@id": "/products/errant-pro-x-pac?variant=41075112771642#variant", "@type": "Product", "gtin": "810081842723", "image": "https://www.boundarysupply.com/cdn/shop/files/Errant_Pro_X-Pac_Black.jpg?v=1767425113&width=1920", "name": "Errant Pro X-Pac - X-Pac Jet Black VX07 Ripstop", "offers": { "@id": "/products/errant-pro-x-pac?variant=41075112771642#offer", "@type": "Offer", "availability": "http://schema.org/InStock", "price": "424.00", "priceCurrency": "USD", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac?variant=41075112771642" }, "sku": "TE-EPP25-0501" }, { "@id": "/products/errant-pro-x-pac?variant=40974747828282#variant", "@type": "Product", "image": "https://www.boundarysupply.com/cdn/shop/files/Errant_Pro_X-Pac_Olive.jpg?v=1761851818&width=1920", "name": "Errant Pro X-Pac - X-Pac Olive", "offers": { "@id": "/products/errant-pro-x-pac?variant=40974747828282#offer", "@type": "Offer", "availability": "http://schema.org/InStock", "price": "424.00", "priceCurrency": "USD", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac?variant=40974747828282" }, "sku": "TE-EPP25-0505" }, { "@id": "/products/errant-pro-x-pac?variant=40983293722682#variant", "@type": "Product", "image": "https://www.boundarysupply.com/cdn/shop/files/ERRANT_PRO_X-PAC31_471a2cb8-8074-458d-a3d4-03b1833d019b.jpg?v=1761851818&width=1920", "name": "Errant Pro X-Pac - X-Pac White", "offers": { "@id": "/products/errant-pro-x-pac?variant=40983293722682#offer", "@type": "Offer", "availability": "http://schema.org/InStock", "price": "424.00", "priceCurrency": "USD", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac?variant=40983293722682" }, "sku": "TE-EPP-0517" }, { "@id": "/products/errant-pro-x-pac?variant=40787026706490#variant", "@type": "Product", "gtin": "00810081841740", "image": "https://www.boundarysupply.com/cdn/shop/files/ERRANTPROX-PAC_c1aac6cd-8578-472d-9b57-68717cf66c14.jpg?v=1750969300&width=1920", "name": "Errant Pro X-Pac - X-Pac Jet Black VX21", "offers": { "@id": "/products/errant-pro-x-pac?variant=40787026706490#offer", "@type": "Offer", "availability": "http://schema.org/OutOfStock", "price": "424.00", "priceCurrency": "USD", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac?variant=40787026706490" }, "sku": "TE-EPP24-0501" }, { "@id": "/products/errant-pro-x-pac?variant=40983295262778#variant", "@type": "Product", "image": "https://www.boundarysupply.com/cdn/shop/files/ERRANTPROX-PAC25.jpg?v=1761851818&width=1920", "name": "Errant Pro X-Pac - X-Pac Coyote", "offers": { "@id": "/products/errant-pro-x-pac?variant=40983295262778#offer", "@type": "Offer", "availability": "http://schema.org/OutOfStock", "price": "424.00", "priceCurrency": "USD", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac?variant=40983295262778" }, "sku": "TE-EPP-0518" } ], "name": "Errant Pro X-Pac", "productGroupID": "7138636824634", "url": "https://www.boundarysupply.com/products/errant-pro-x-pac" }, "brand": "Boundary Supply", "category": "Backpacks", "sku": null, "gtin": null, "mpn": null, "price_usd": null, "currency_schema": null, "availability": null, "product_id": 7138636824634, "handle": "errant-pro-x-pac", "product_title": "Errant Pro X-Pac", "images": [], "actor_id": "8vL7WgejnTMCaMntL", "run_id": "UNzSrVBsUj0HP3gQq" } ] ``` ### Use Cases - **Market Research**: Analyze product trends, pricing, and features from Boundary Supply to inform business strategies. - **Competitive Intelligence**: Gather data on competitors' offerings for comparison and benchmarking. - **Price Monitoring**: Track price changes and availability for dynamic pricing or inventory management. - **Content Aggregation**: Collect product descriptions and images for content creation or e-commerce platforms. - **Academic Research**: Study consumer goods data for studies on design, materials, or market dynamics. - **Business Automation**: Integrate scraped data into workflows for automated reporting or alerts on new products. ### Installation and Usage 1. Search for "Boundarysupply Urls 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 output is a JSON array of objects, each representing a scraped product. Key fields include: - `url`: The source URL. - `title`: Product title. - `description`: Detailed product description. - `image`: Main product image URL. - `price`: Price as a string. - `currency`: Currency code (e.g., USD). - `schema_org`: Full schema.org JSON-LD data, including variants, offers, and metadata. - Additional fields like `brand`, `category`, `product_id`, and `images` for comprehensive data. ### 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. ## Actor input object example ```json { "Urls": [ "https://www.boundarysupply.com/products/errant-pro-x-pac" ] } ``` # 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/boundarysupply-urls-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/boundarysupply-urls-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/boundarysupply-urls-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/boundarysupply-urls-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Boundarysupply Urls Spider", "description": "Extract comprehensive product data from Boundary Supply, including titles, prices, images, and schema.org details. Perfect for e-commerce pros, researchers, and businesses needing reliable data for analysis, monitoring, and integration....", "version": "0.0", "x-build-id": "nuvAzov3yV6JIRuKE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~boundarysupply-urls-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-boundarysupply-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~boundarysupply-urls-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-boundarysupply-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~boundarysupply-urls-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-boundarysupply-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.boundarysupply.com/products/errant-pro-x-pac" ], "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 } } } } } } } } } } ```