# Stanley1983 Parser Spider (`getdataforme/stanley1983-parser-spider`) Actor The Stanley1983 Parser Spider is an Apify Actor that scrapes comprehensive product data from Stanley1913.com, including titles, prices, descriptions, images, variants, and reviews.... - **URL**: https://apify.com/getdataforme/stanley1983-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, E-commerce, Lead generation - **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 --- ## Stanley1983 Parser Spider ### Introduction The Stanley1983 Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Stanley1913.com. It efficiently parses product pages to gather comprehensive data including titles, prices, descriptions, images, variants, and reviews, making it an essential tool for e-commerce data collection. Whether you're conducting market research or monitoring product availability, this Actor delivers reliable, structured data to streamline your workflows. ### Features - **Comprehensive Data Extraction**: Captures key product details such as title, price, color, description, features, specifications, images, videos, variants, and customer reviews. - **Flexible URL Input**: Accepts a list of product URLs for batch processing, allowing you to scrape multiple items in a single run. - **High-Quality Output**: Provides clean, JSON-formatted data with consistent structure, ensuring easy integration into databases or analytics tools. - **Fast and Reliable**: Built on Apify's robust infrastructure for efficient scraping with minimal downtime. - **Variant Handling**: Extracts all product variants, including colors, SKUs, and URLs, for complete catalog insights. - **Review Aggregation**: Includes average ratings and review counts to gauge product popularity. - **Error-Resilient**: Handles common web scraping challenges like dynamic content and rate limits gracefully. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of URLs pointing to Stanley1913 product pages to scrape. Each URL must be a valid HTTP or HTTPS link. | ["https://www.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541552488"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541552488" ] } ```` #### Example Output ```json [ { "title": "The Cheers & Cheer Easy Fill Flask | 8 OZ", "price": { "Value": "19.50", "Currency": "USD" }, "color": "Holly Berry Gloss", "info": { "description": "Time to hang the tinsel, cue the lights and pick out perfect gifts for friends, family, and friends who are family. Celebrate everyone with new sips in deep hues with woodgrains, patterns, and glimmering accents. Just like the people, stories, mayhem and laughter of the holidays, they\u2019re all keepers.\nThe 8-ounce Easy Fill Flask is made to slide right into your pocket or bag. The wide opening makes filling simple, no funnel required. With stainless steel construction and a leakproof tethered cap, for durability and storage you can count on.", "features": [ "18/8 stainless steel", "Leakproof", "Packable", "Never-lose cap", "Wide opening", "BPA-free" ], "specs": { "Weight": "0.4 lb.", "Dimensions": "1.25 x 2.75 x 5.87 in." }, "display_image": "https://www.stanley1913.com/cdn/shop/files/Web_PNG_Square-The_Easy_Fill_Flask_8OZ_-_Holly_Berry_Gloss_-_Front.png?v=1761004728&width=700" }, "sku": "10-00837-0051", "video_urls": [], "image_urls": [ "https://www.stanley1913.com/cdn/shop/files/Web_PNG_Square-The_Easy_Fill_Flask_8OZ_-_Holly_Berry_Gloss_-_Front.png", "https://www.stanley1913.com/cdn/shop/files/Web_PNG_Square-The_Easy_Fill_Flask_8OZ_-_Holly_Berry_Gloss_-_Hero_Open.png", "https://www.stanley1913.com/cdn/shop/files/Web_PNG_Square-The_Easy_Fill_Flask_8OZ_-_Holly_Berry_Gloss_-_Hero_Back.png" ], "size": "8 OZ", "variants": [ { "color": "Holly Berry Gloss", "variant_id": "53973541552488", "sku": "10-00837-0051", "url": "https://www.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541552488" }, { "color": "Redwood Woodgrain", "variant_id": "53973541585256", "sku": "10-00837-0053", "url": "https://www.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541585256" } ], "review": { "rating": 4.6111, "counts": 18 }, "actor_id": "5qyaLMbxV4PabxJfe", "run_id": "K3GpFJqFVJK2lRkop" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather detailed product data to analyze trends, pricing strategies, and consumer preferences in the outdoor gear market. - **Competitive Intelligence**: Monitor competitors' product offerings, including variants and reviews, to inform your own product development. - **Price Monitoring**: Track price changes and availability for dynamic pricing strategies or inventory management. - **Content Aggregation**: Collect product descriptions, images, and specs for creating catalogs, blogs, or e-commerce platforms. - **Academic Research**: Study consumer behavior through review data and product features in retail studies. - **Business Automation**: Integrate scraped data into workflows for automated reporting, alerts, or data visualization tools. ### Installation and Usage 1. Search for "Stanley1983 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 data in JSON format, with each scraped product represented as an object in an array. Key fields include: - `title`: Product name. - `price`: Object with value and currency. - `color`: Product color variant. - `info`: Nested object containing description, features (array), specs (object), and display image URL. - `sku`: Stock keeping unit. - `video_urls` and `image_urls`: Arrays of media URLs. - `size`: Product size. - `variants`: Array of variant objects with color, ID, SKU, and URL. - `review`: Object with rating and count. - `actor_id` and `run_id`: Metadata for the Apify run. This structure ensures easy parsing and integration. ### 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.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541552488" ] } ``` # 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/stanley1983-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/stanley1983-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/stanley1983-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/stanley1983-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stanley1983 Parser Spider", "description": "The Stanley1983 Parser Spider is an Apify Actor that scrapes comprehensive product data from Stanley1913.com, including titles, prices, descriptions, images, variants, and reviews....", "version": "0.0", "x-build-id": "hOFhrxKBlFrMe3gh1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~stanley1983-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-stanley1983-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~stanley1983-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-stanley1983-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~stanley1983-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-stanley1983-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.stanley1913.com/products/the-cheers-cheer-easy-fill-flask-8-oz?variant=53973541552488" ], "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 } } } } } } } } } } ```