# Pasnormal Productinfo Spider (`getdataforme/pasnormal-productinfo-spider`) Actor The Pasnormal Productinfo Spider is a robust web scraping tool for extracting detailed product data from Pasnormal Studios, including names, images, prices, and specifications.... - **URL**: https://apify.com/getdataforme/pasnormal-productinfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, E-commerce, Lead generation - **Stats:** 2 total users, 1 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 --- ## Pasnormal Productinfo Spider ### Introduction The Pasnormal Productinfo Spider is a powerful web scraping tool designed to extract detailed product information from the Pasnormal Studios website. It efficiently gathers data such as product names, images, prices, and specifications, providing valuable insights for businesses and researchers. ### Features - **Comprehensive Data Extraction**: Captures extensive product details including names, images, sizes, and descriptions. - **High-Quality Data**: Ensures reliable and accurate information retrieval from the target website. - **Customizable Limits**: Allows users to set item limits per run for tailored data collection. - **User-Friendly Configuration**: Simple setup with intuitive input parameters. - **Versatile Output Formats**: Supports multiple export formats like JSON, CSV, and Excel. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------------------------| | InitListStr | array | Yes | The initial list of URLs for the spider to start scraping. | `["https://pasnormalstudios.com/us/products/mens-t-k-o-essential-light-long-sleeve-jersey-t-k-o-earth"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "InitListStr": [ "https://pasnormalstudios.com/us/products/mens-t-k-o-essential-light-long-sleeve-jersey-t-k-o-earth" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "product_name": "Men's T.K.O. Essential Light Long Sleeve Jersey", "product_image": "https://cdn.sanity.io/images/k15yl91v/production/f56a30956371db1f38923316943454ad786766ba-1920x2400.png?bg=FFFFFF&w=1200&fm=jpg&fit=max&auto=format", "color": "Earth", "size": [ "XS", "S", "M", "L", "XL", "XXL", "XXS" ], "images": [ "https://cdn.sanity.io/images/k15yl91v/production/52715c71dee74e1160f988515ca5876738132280-1920x2400.jpg", "https://cdn.sanity.io/images/k15yl91v/production/819a57e355ac846fc620bc426ef862d0b342ecb6-1920x2400.jpg", "https://cdn.sanity.io/images/k15yl91v/production/5c2f98aa1631ae13f2c7023158762219b2eadd82-1920x2400.jpg", "https://cdn.sanity.io/images/k15yl91v/production/7d829991452d584becfcb2b093d60122268007c5-1920x2400.jpg", "https://cdn.sanity.io/images/k15yl91v/production/d209755e6c02ffc4b723db0fe2760573b25e6e47-1920x2400.jpg" ], "price": "270.00", "currency": "USD", "product_details": [ "The jersey features a light, structured fabric on the body, combined with mesh fabric on the sleeves, providing ventilation and cooling." ], "actor_id": "bawzVKTH8VBjMY7hh", "run_id": "QzVlZph8iNpRUTcQN" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into product offerings and market trends. - **Competitive Intelligence**: Monitor competitor products and pricing strategies. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Collect and organize product data for content platforms. - **Academic Research**: Use detailed product information for studies in commerce and marketing. - **Business Automation**: Automate data collection processes to enhance operational efficiency. ### Installation and Usage 1. Search for "Pasnormal Productinfo Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 containing objects with the following fields: - `product_name`: The name of the product. - `product_image`: URL of the main product image. - `color`: Available color options for the product. - `size`: List of available sizes. - `images`: Array of URLs to additional product images. - `price`: Product price as a string. - `currency`: Currency code (e.g., USD). - `product_details`: Descriptive details about the product. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific run. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `InitListStr` (type: `array`): The init list str for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "InitListStr": [ "https://pasnormalstudios.com/us/products/mens-t-k-o-essential-light-long-sleeve-jersey-t-k-o-earth" ], "item_limit": 10 } ``` # 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/pasnormal-productinfo-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/pasnormal-productinfo-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/pasnormal-productinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/pasnormal-productinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pasnormal Productinfo Spider", "description": "The Pasnormal Productinfo Spider is a robust web scraping tool for extracting detailed product data from Pasnormal Studios, including names, images, prices, and specifications....", "version": "0.0", "x-build-id": "FpHMV9lm3iu7sm1hX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~pasnormal-productinfo-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-pasnormal-productinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~pasnormal-productinfo-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-pasnormal-productinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~pasnormal-productinfo-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-pasnormal-productinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "InitListStr": { "title": "Init List Str", "type": "array", "description": "The init list str for the spider.", "default": [ "https://pasnormalstudios.com/us/products/mens-t-k-o-essential-light-long-sleeve-jersey-t-k-o-earth" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```