# Aerosales Product Reviews Ec Spider (`getdataforme/aerosales-product-reviews-ec-spider`) Actor The Aerosales Product Reviews Ec Spider is a web scraping tool designed for extracting detailed product reviews from the Aerosoles website. It captures comprehensive data, including reviewer names and ratings, offering businesses insights into customer feedback and market trends.... - **URL**: https://apify.com/getdataforme/aerosales-product-reviews-ec-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Lead generation, Automation - **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 --- ## Aerosales Product Reviews Ec Spider ### Introduction The Aerosales Product Reviews Ec Spider is a powerful web scraping tool designed to extract product reviews from the Aerosoles website. It efficiently gathers detailed review data, enabling businesses and researchers to gain valuable insights into customer feedback and market trends. ### Features - **Comprehensive Data Extraction**: Captures all relevant review details including reviewer names, ratings, and comments. - **High-Quality Data**: Ensures accurate and reliable data collection for informed decision-making. - **Flexible Configuration**: Allows customization of URLs and item limits to suit specific needs. - **Efficient Performance**: Optimized for speed and resource management during scraping operations. - **User-Friendly Interface**: Easy setup and execution with clear instructions and support. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. | `["https://www.aerosoles.com/products/..."]` | | `item_limit`| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.aerosoles.com/products/onyx-black-mesh-sneakerina?_pos=4&_sid=24761843f&_ss=r" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "reviewer_name": "Michele R.", "reviewed_date": "2026-06-16T02:24:09", "review": "They’re cute and I’ve received quite a few compliments. They’re comfy, but a bit on the loose side, on the sides of the shoe.\nI’m not expecting a tight fit. But at least not look so gappy on the sides when I walk. I’m wondering if someone accidentally sent me a wide shoe.", "star_rating_count": 4, "no_of_helpful_count": 0, "no_of_not_helpful_count": 0, "actor_id": "V3vXmeqkL2UChLJTf", "run_id": "a0fNAKhM3iDiMLhde" }, { "reviewer_name": "Amy", "reviewed_date": "2026-06-13T10:15:47", "review": "Trendy and comfy!", "star_rating_count": 5, "no_of_helpful_count": 0, "no_of_not_helpful_count": 0, "actor_id": "V3vXmeqkL2UChLJTf", "run_id": "a0fNAKhM3iDiMLhde" }, { "reviewer_name": "Mary G.", "reviewed_date": "2026-03-30T15:37:17", "review": "A little too wide for my feet, but can’t go smaller because one toe already hits the top. Unfortunately, I’ll be returning them.", "star_rating_count": 4, "no_of_helpful_count": 4, "no_of_not_helpful_count": 0, "actor_id": "V3vXmeqkL2UChLJTf", "run_id": "a0fNAKhM3iDiMLhde" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze customer feedback to understand market trends. - **Competitive Intelligence**: Monitor competitor products and gather insights on their performance. - **Price Monitoring**: Track pricing changes and customer reactions over time. - **Content Aggregation**: Compile reviews for content creation or analysis. - **Academic Research**: Use data for studies in consumer behavior or marketing strategies. - **Business Automation**: Integrate with business processes to automate review monitoring. ### Installation and Usage 1. Search for "Aerosales Product Reviews Ec 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 of review objects with fields such as `reviewer_name`, `reviewed_date`, `review`, `star_rating_count`, `no_of_helpful_count`, `no_of_not_helpful_count`, `actor_id`, and `run_id`. Each field provides specific details about the reviews collected. ### Error Handling The spider is designed to handle common web scraping errors such as network issues or changes in website structure. If an error occurs, it will be logged for review. Users can adjust configurations or contact support for assistance with persistent issues. ### Rate Limiting and Best Practices To avoid being blocked by the target site, adhere to rate limiting guidelines: - Use a reasonable delay between requests. - Respect `robots.txt` directives. - Monitor logs for any signs of throttling or blocking. ### Limitations and Considerations - The spider is tailored specifically for Aerosoles product reviews; it may not work with other sites without modification. - Ensure compliance with legal and ethical standards when scraping data. - Be aware that website structures can change, potentially affecting the spider's performance. ### 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 ## `Urls` (type: `array`): The 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 { "Urls": [ "https://www.aerosoles.com/products/onyx-black-mesh-sneakerina?_pos=4&_sid=24761843f&_ss=r" ], "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/aerosales-product-reviews-ec-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/aerosales-product-reviews-ec-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/aerosales-product-reviews-ec-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/aerosales-product-reviews-ec-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Aerosales Product Reviews Ec Spider", "description": "The Aerosales Product Reviews Ec Spider is a web scraping tool designed for extracting detailed product reviews from the Aerosoles website. It captures comprehensive data, including reviewer names and ratings, offering businesses insights into customer feedback and market trends....", "version": "0.0", "x-build-id": "WQQ57HqaVoKkqL9KB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~aerosales-product-reviews-ec-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-aerosales-product-reviews-ec-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~aerosales-product-reviews-ec-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-aerosales-product-reviews-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~aerosales-product-reviews-ec-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-aerosales-product-reviews-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.aerosoles.com/products/onyx-black-mesh-sneakerina?_pos=4&_sid=24761843f&_ss=r" ], "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 } } } } } } } } } } ```