# Chicos Discovery Spider (`getdataforme/chicos-discovery-spider`) Actor Scrape comprehensive product data from Chicos.com with this Apify Actor. Search by terms to extract names, prices, images, ratings, and more.... - **URL**: https://apify.com/getdataforme/chicos-discovery-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **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 ### Description Scrape comprehensive product data from Chicos.com with this Apify Actor. Search by terms to extract names, prices, images, ratings, and more.... --- ## Chicos Discovery Spider ### Introduction The Chicos Discovery Spider is a powerful Apify Actor designed to scrape and extract product data from the Chicos website. It allows users to search for products using specific terms and retrieve detailed information such as names, prices, images, ratings, and more. This tool is ideal for e-commerce professionals, researchers, and businesses needing efficient, automated data collection from Chicos' online catalog. ### Features - **Targeted Scraping**: Searches Chicos.com for products matching user-defined terms, ensuring relevant results. - **Comprehensive Data Extraction**: Captures key product details including name, price, color, brand, ratings, and image URLs. - **Configurable Limits**: Set maximum items to process, controlling output size and runtime. - **High Reliability**: Built with robust error handling to manage website changes and network issues. - **JSON Output**: Delivers clean, structured data in JSON format for easy integration. - **Fast Performance**: Optimized for quick scraping with minimal resource usage. - **Apify Integration**: Seamlessly runs on the Apify platform with logging and monitoring. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------| | SearchTerms | array | No | An array of strings representing the search terms to query on Chicos.com. | ["Travelers", "Dresses"] | | itemLimit | integer | No | The maximum number of items to process and extract. | 20 | ### Example Usage #### Input Configuration ```json { "SearchTerms": ["Travelers"], "itemLimit": 20 } ```` #### Output Example ```json [ { "search_term": "Travelers", "page": 1, "name": "Travelers™ Amethyst Iris Maxi Dress", "position": 1, "image_url": "https://www.chicos.com/_assets/products/content/4svwpnljav/jpeg/CHS26_03MAR-MM_LK034_TR_080_PDP.jpeg?position=c&color=ffffffff&quality=100&u=9o1w1f&versionId=090dcd9a", "color": "RICH AMETHYST", "brand": "Chico's", "price": "159.50", "price_currency": "USD", "rating_value": 4.5, "rating_count": null, "url": null, "actor_id": "KWwa8Ffo6uL2WhkCl", "run_id": "AyeYALlPVGsi9AeJP" }, { "search_term": "Travelers", "page": 1, "name": "Travelers™ No Tummy Pants", "position": 2, "image_url": "https://www.chicos.com/_assets/products/content/ci8mmbzuh2/jpeg/CHS_NO%20TUMMY_570338445_NEU004703_OF_MAIN.jpeg?position=c&color=ffffffff&quality=100&u=9o1w1f&versionId=b751fcc3", "color": "NEW SONORA SAND", "brand": "Chico's", "price": "89.50", "price_currency": "USD", "rating_value": 4.4848, "rating_count": null, "url": null, "actor_id": "KWwa8Ffo6uL2WhkCl", "run_id": "AyeYALlPVGsi9AeJP" }, { "search_term": "Travelers", "page": 1, "name": "Travelers™ No Tummy Pants", "position": 3, "image_url": "https://www.chicos.com/_assets/products/content/zu1wnwfoyi/jpeg/CHS_NO%20TUMMY_570338445_PUR007000_OF_MAIN.jpeg?position=c&color=ffffffff&quality=100&u=9o1w1f&versionId=3f80cf29", "color": "RICH AMETHYST", "brand": "Chico's", "price": "89.50", "price_currency": "USD", "rating_value": 4.4848, "rating_count": null, "url": null, "actor_id": "KWwa8Ffo6uL2WhkCl", "run_id": "AyeYALlPVGsi9AeJP" } ] ``` ### Use Cases - **Market Research**: Analyze product trends, pricing, and availability on Chicos.com for fashion insights. - **Competitive Intelligence**: Compare Chicos products with competitors by extracting detailed listings. - **Price Monitoring**: Track price changes for specific items to inform purchasing or sales strategies. - **Content Aggregation**: Collect product images and descriptions for e-commerce content creation. - **Academic Research**: Study consumer ratings and product diversity in the fashion industry. - **Business Automation**: Automate data feeds for inventory management or retail analytics platforms. ### Installation and Usage 1. Search for "Chicos Discovery Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., SearchTerms and itemLimit). 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 as an array of objects. Each object represents a product and includes fields like `search_term`, `page`, `name`, `position`, `image_url`, `color`, `brand`, `price`, `price_currency`, `rating_value`, `rating_count`, `url`, `actor_id`, and `run_id`. This structure ensures easy parsing and integration with other tools. ### 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 ## `SearchTerms` (type: `array`): The search terms for the spider. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "SearchTerms": [ "Travelers" ], "itemLimit": 20 } ``` # 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 = { "itemLimit": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/chicos-discovery-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 = { "itemLimit": 20 } # Run the Actor and wait for it to finish run = client.actor("getdataforme/chicos-discovery-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 '{ "itemLimit": 20 }' | apify call getdataforme/chicos-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/chicos-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chicos Discovery Spider", "description": "Scrape comprehensive product data from Chicos.com with this Apify Actor. Search by terms to extract names, prices, images, ratings, and more....", "version": "0.0", "x-build-id": "moU5R9SzqGBJCcvsH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~chicos-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-chicos-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~chicos-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-chicos-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~chicos-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-chicos-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "SearchTerms": { "title": "Search Terms", "type": "array", "description": "The search terms for the spider.", "default": [ "Travelers" ], "items": { "type": "string" } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 } } }, "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 } } } } } } } } } } ```