# Targus Parser Spider (`getdataforme/targus-parser-spider`) Actor The Targus Parser Spider is an Apify Actor that efficiently extracts comprehensive product details from Targus websites, including names, prices, images, and availability.... - **URL**: https://apify.com/getdataforme/targus-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 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 ## Targus Parser Spider ### Introduction The Targus Parser Spider is a powerful Apify Actor designed to extract detailed product information from Targus product pages. It efficiently scrapes key data such as product names, descriptions, prices, images, and availability, making it an essential tool for e-commerce data collection. Whether you're conducting market research or monitoring competitors, this Actor delivers structured, reliable data to streamline your workflows. ### Features - **Comprehensive Data Extraction**: Captures essential product details including ID, name, SKU, brand, images, pricing, and availability. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval from Targus websites. - **Flexible Input**: Accepts multiple product URLs for batch processing, ideal for large-scale scraping. - **Structured Output**: Delivers clean JSON data conforming to schema.org standards for easy integration. - **Performance Optimized**: Utilizes Apify's infrastructure for fast, scalable runs with minimal resource usage. - **User-Friendly**: Simple configuration with clear input parameters and real-time logging for monitoring. - **Data Quality Assurance**: Filters and validates extracted data to minimize errors and duplicates. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|--------|----------|-----------------------------------------------------------------------------|---------| | ProductUrls | array | Yes | A list of URLs pointing to Targus product pages to scrape. Must be valid HTTP/HTTPS URLs. | ["https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl"] | ### Example Usage To run the Targus Parser Spider, provide the input JSON as follows: ```json { "ProductUrls": [ "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl" ] } ```` The Actor will output structured data like this: ```json [ { "Product_ID": "https://us.targus.com/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl", "Name": "15-16" GeoLite EcoSmart\u00ae Slim Brief", "Description": "Understated style delivers confident carrying, with padded laptop protection in a thin-profile design.", "SKU": "TSS98402GL", "Brand": "Targus US", "Images": [ "https://us.targus.com/cdn/shop/files/TSS98402GL_MAIN1_1200x.jpg?v=1759356881" ], "Offer_URL": "https://us.targus.com/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl?variant=42446403174448", "Price": "39.99", "Currency": "USD", "Price_Valid_Until": "2027-01-14", "Condition": "https://schema.org/NewCondition", "Availability": "http://schema.org/OutOfStock", "Seller": "Targus US", "Source_URL": "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl", "actor_id": "tNCSpFFk3LhJ3RS3d", "run_id": "Pe4zSfbKbfOtIbVM2" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather product data to analyze trends, pricing strategies, and consumer preferences in the tech accessories market. - **Competitive Intelligence**: Monitor Targus competitors by extracting similar product details for comparison and benchmarking. - **Price Monitoring**: Track price changes and availability to optimize e-commerce strategies or alert on discounts. - **Content Aggregation**: Collect product information for building catalogs, blogs, or affiliate marketing sites. - **Academic Research**: Study e-commerce patterns, such as product availability and branding in the laptop accessory sector. - **Business Automation**: Integrate scraped data into ERP systems or dashboards for automated inventory and sales reporting. ### Installation and Usage 1. Search for "Targus 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 output is an array of JSON objects, each representing a scraped product. Key fields include Product\_ID (unique identifier), Name (product title), Description (detailed text), SKU (stock keeping unit), Brand (manufacturer), Images (array of image URLs), Offer\_URL (direct purchase link), Price (numeric value), Currency (e.g., USD), Price\_Valid\_Until (expiration date), Condition (schema.org standard), Availability (stock status), Seller (vendor), Source\_URL (original page), and metadata like actor\_id and run\_id. This structure ensures compatibility with e-commerce standards and easy parsing. ### 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 ## `ProductUrls` (type: `array`): The product urls for the spider. ## Actor input object example ```json { "ProductUrls": [ "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl" ] } ``` # 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/targus-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/targus-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/targus-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/targus-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Targus Parser Spider", "description": "The Targus Parser Spider is an Apify Actor that efficiently extracts comprehensive product details from Targus websites, including names, prices, images, and availability....", "version": "0.0", "x-build-id": "tRBwnlLv9ECvIETs6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~targus-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-targus-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~targus-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-targus-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~targus-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-targus-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl" ], "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 } } } } } } } } } } ```