# American Vintage Produt Detail Extractor (`getdataforme/american-vintage-produt-detail-extractor`) Actor Automate product data extraction from American Vintage with high-quality, structured outputs. Features include fast processing, customizable formats, and ease of use for market research, competitive analysis, and more. Input a URL to gather detailed insights efficiently.... - **URL**: https://apify.com/getdataforme/american-vintage-produt-detail-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** 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 --- ### PART 1: Generate README.md ## American Vintage Product Detail Extractor The American Vintage Product Detail Extractor is a powerful tool designed to automate the extraction of detailed product information from the American Vintage website. This Actor simplifies data collection for market research, competitive analysis, and more by providing high-quality, structured data with ease. ### Features - **Automated Data Extraction**: Seamlessly extracts comprehensive product details. - **High-Quality Data**: Ensures reliable and accurate information retrieval. - **Efficient Performance**: Fast processing speeds for large datasets. - **Customizable Output**: Flexible formats including JSON, CSV, and Excel. - **User-Friendly Interface**: Easy setup with intuitive configuration options. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------------------------------------|--------------------------| | URL | String | Yes | The product page URL to extract details from. | `"https://www.americanvintage-store.com/en/JAC02AH26-ANTHCH.html"` | ### Example Usage #### Input JSON ```json { "url": "https://www.americanvintage-store.com/en/JAC02AH26-ANTHCH.html" } ```` #### Output JSON ```json { "product_details": { "name": "Women's t-shirt Jacksonville - ANTHOLOGIE CHIC", "price": "โ‚ฌ49.00", "colors": [ "#a09031" ], "images": [ "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dw6c1e8d7b/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-MODEL-1-large.jpg?sw=1440&sh=2250", "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dwbcf253e1/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-MODEL-2-large.jpg?sw=1440&sh=2250", "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dw0debb92f/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-MODEL-3-large.jpg?sw=1440&sh=2250", "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dw242c05d1/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-MODEL-4-large.jpg?sw=1440&sh=2250", "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dw407e891d/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-1-large.jpg?sw=1440&sh=2250", "https://www.americanvintage-store.com/dw/image/v2/BGNV_PRD/on/demandware.static/-/Sites-master-catalog/default/dwe7773519/images/productPictures/H26/JAC02AH26/JAC02AH26-ANTHCH-2-large.jpg?sw=1440&sh=2250" ], "description": "The Jacksonville womenโ€™s short-sleeved T-shirt showcases American Vintageโ€™s iconic slubbed fabric. Fine, lightweight and slightly stretchy, it stands out for its subtly sheer appearance and delicate sheen, which add depth to the silhouette. Its loose fit and mid-length cut give it a fluid drape and a naturally comfortable feel. Easy to incorporate into your everyday wardrobe, it can be worn on its own or layered under a jumper, sweatshirt or jacket for a relaxed, effortless look.", "size_variations": [ { "size": "XS/S", "available": true }, { "size": "M/L", "available": true } ], "composition": "52% cotton, 48% viscose" } } ``` ### Use Cases - **Market Research and Analysis**: Gather detailed product information for market insights. - **Competitive Intelligence**: Monitor competitor products and pricing strategies. - **Price Monitoring**: Track price changes over time to identify trends. - **Content Aggregation**: Compile product data for content creation or analysis. - **Academic Research**: Use structured data for research projects in fashion studies. - **Business Automation**: Automate data collection processes for efficiency. ### Installation and Usage 1. Search for "American Vintage Product Detail Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., product URL). 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 data includes structured fields such as `name`, `price`, `colors`, `images`, `description`, `size_variations`, and `composition`. Each field provides detailed information about the product extracted from the specified URL. ### Support Section #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** ### PART 2: Generate Description (STRICT: 280-295 characters ONLY) # Actor input Schema ## `ProductUrls` (type: `array`): The product urls 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 { "ProductUrls": [ "https://www.americanvintage-store.com/en/CLY00BH25-FRAISI.html", "https://www.americanvintage-store.com/en/AFA13AH25-ECRU.html", "https://www.americanvintage-store.com/en/JAC02AVH26-POURVIN.html", "https://www.americanvintage-store.com/en/SON29GH26-VIOPASVI.html" ], "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/american-vintage-produt-detail-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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/american-vintage-produt-detail-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/american-vintage-produt-detail-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/american-vintage-produt-detail-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "American Vintage Produt Detail Extractor", "description": "Automate product data extraction from American Vintage with high-quality, structured outputs. Features include fast processing, customizable formats, and ease of use for market research, competitive analysis, and more. Input a URL to gather detailed insights efficiently....", "version": "0.0", "x-build-id": "02D1FdqlprL8wxzm2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~american-vintage-produt-detail-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-american-vintage-produt-detail-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~american-vintage-produt-detail-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-american-vintage-produt-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~american-vintage-produt-detail-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-american-vintage-produt-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.americanvintage-store.com/en/CLY00BH25-FRAISI.html", "https://www.americanvintage-store.com/en/AFA13AH25-ECRU.html", "https://www.americanvintage-store.com/en/JAC02AVH26-POURVIN.html", "https://www.americanvintage-store.com/en/SON29GH26-VIOPASVI.html" ], "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 } } } } } } } } } } ```