# Fabletics Details Spider (`getdataforme/fabletics-details-spider`) Actor The Fabletics Details Spider extracts comprehensive product data from Fabletics pages, including names, prices, images, sizes, reviews, and availability.... - **URL**: https://apify.com/getdataforme/fabletics-details-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **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 --- ## Fabletics Details Spider ### Introduction The Fabletics Details Spider is an Apify Actor designed to extract comprehensive product information from Fabletics product pages. It scrapes key details such as names, descriptions, prices, images, sizes, reviews, and availability, delivering structured data in JSON format. This tool is invaluable for e-commerce professionals, researchers, and businesses needing accurate, up-to-date product data from Fabletics. ### Features - **Comprehensive Data Extraction**: Scrapes detailed product info including names, descriptions, prices, images, sizes, reviews, and fabric details. - **Structured JSON Output**: Provides clean, machine-readable data for easy integration into databases or analytics tools. - **Reliable Performance**: Handles multiple URLs efficiently with built-in error handling and retry mechanisms. - **Flexible Input**: Accepts a list of Fabletics product URLs for batch processing. - **High Accuracy**: Ensures data integrity by parsing dynamic web content accurately. - **Fast Execution**: Optimized for speed, processing pages quickly without unnecessary delays. - **Apify Integration**: Seamlessly runs on the Apify platform with monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-------------|---------| | Urls | array | Yes | An array of Fabletics product page URLs to scrape. Each URL must be a valid HTTP/HTTPS link. | ["https://www.fabletics.com/products/HIGH-RISE-WIDE-LEG-JEAN-DP2500510-14895"] | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.fabletics.com/products/HIGH-RISE-WIDE-LEG-JEAN-DP2500510-14895" ] } ```` #### Output JSON ```json [ { "name": "High Rise Wide Leg Jean", "description": "Clean lines with built-in confidence. Designed with a high rise and a flattering fitted waist and hip, this wide-leg jean flows into a full-length silhouette that drapes perfectly over the shoe. Modern Stretch Denim balances structure and ease, delivering a fit that holds its shape wear after wear. Finished with SignatureSculpt\u2122 interior support and HappyButt\u2122 Tech, it offers a confident fit that feels as good as it looks. Rise: 11\" | Leg Opening: 22\"", "image": "https://cdn.fabletics.com/assets/images/skus/DP2500510-14895?model=d&imgSize=577x866&version=1", "sku": "HIGH-RISE-WIDE-LEG-JEAN-DP2500510-14895", "brand": "fabletics", "price": 149.95, "currency": "USD", "availability": "https://schema.org/InStock", "rating": 4.664, "review_count": 261, "model_info": "Manuela - 5\u20189\u2018\u2019 Wearing Size: 28 Tall", "selected_color": "Venice - Medium Wash", "sizes": [ { "size": "Venice - Medium Wash", "status": "available" }, { "size": "23", "status": "available" }, { "size": "24", "status": "available" }, { "size": "25", "status": "available" }, { "size": "26", "status": "available" }, { "size": "27", "status": "available" }, { "size": "28", "status": "available" }, { "size": "29", "status": "available" }, { "size": "30", "status": "available" }, { "size": "31", "status": "available" }, { "size": "32", "status": "available" }, { "size": "33", "status": "available" }, { "size": "34", "status": "sold_out" }, { "size": "35", "status": "sold_out" }, { "size": "Regular 32 in", "status": "available" }, { "size": "Short 30 in", "status": "available" }, { "size": "Tall 35 in", "status": "available" } ], "selected_inseam": null, "inseam_options": [ "Regular 32 in", "Short 30 in", "Tall 35 in" ], "default_quantity": " ", "display_price": "$149.95", "full_description": [ "Clean lines with built-in confidence. Designed with a high rise and a flattering fitted waist and hip, this wide-leg jean flows into a full-length silhouette that drapes perfectly over the shoe. Modern Stretch Denim balances structure and ease, delivering a fit that holds its shape wear after wear. Finished with SignatureSculpt\u2122 interior support and HappyButt\u2122 Tech, it offers a confident fit that feels as good as it looks. Rise: 11\" | Leg Opening: 22\"", "Wash before wearing to help prevent color transfer. Machine wash cold with like colors and turn inside out. To maintain shape and stretch recovery, avoid over-drying. Tumble dry low or lay flat to dry. Do not bleach or dry clean. Cool iron on the reverse side if needed.", "85% Cotton, 10% Recycled Polyester, 3% Polyester, 2% Elastane" ], "fabric": "85% Cotton, 10% Recycled Polyester, 3% Polyester, 2% Elastane", "fabric_details": [ "85% Cotton, 10% Recycled Polyester, 3% Polyester, 2% Elastane" ], "actor_id": "Qnoj4SV6R2DUVMkUN", "run_id": "55NO0JvGRPfEVRigB" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather detailed product data for trend analysis and consumer insights. - **Competitive Intelligence**: Monitor Fabletics offerings to compare with competitors. - **Price Monitoring**: Track price changes and availability for dynamic pricing strategies. - **Content Aggregation**: Collect product descriptions and images for e-commerce platforms. - **Academic Research**: Study fashion trends and consumer reviews in apparel studies. - **Business Automation**: Automate data collection for inventory management or reporting. ### Installation and Usage 1. Search for "Fabletics Details 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: - `name`: Product name. - `description`: Short product description. - `price`: Numeric price value. - `sizes`: Array of size options with availability status. - `rating` and `review_count`: Customer feedback metrics. - `image`: Product image URL. - Additional fields like `fabric`, `full_description`, and metadata 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.fabletics.com/products/HIGH-RISE-WIDE-LEG-JEAN-DP2500510-14895" ] } ``` # 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/fabletics-details-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/fabletics-details-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/fabletics-details-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/fabletics-details-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fabletics Details Spider", "description": "The Fabletics Details Spider extracts comprehensive product data from Fabletics pages, including names, prices, images, sizes, reviews, and availability....", "version": "0.0", "x-build-id": "B1mYavOmUdXnRBF4p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~fabletics-details-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-fabletics-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~fabletics-details-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-fabletics-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~fabletics-details-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-fabletics-details-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.fabletics.com/products/HIGH-RISE-WIDE-LEG-JEAN-DP2500510-14895" ], "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 } } } } } } } } } } ```