Smartandsexy Reviews Spider ## Introduction The Smartandsexy Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Smartandsexy.com product pages. It provides detailed insights into product feedback, ratings, and user sentiments, enabling businesses and researchers to analyze customer experiences effectively. By automating the collection of review data, this Actor saves time and ensures access to up-to-date, structured information for informed decision-making. ## Features - Comprehensive Review Extraction: Captures full review details including ratings, text, timestamps, and user information from specified product URLs. - Sentiment Analysis: Includes sentiment scores for each review to gauge overall customer satisfaction. - High Reliability: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - Customizable Inputs: Accepts multiple URLs for batch processing, allowing flexible scraping of various products. - Structured Output: Delivers clean, JSON-formatted data ready for integration into analytics tools or databases. - Performance Optimized: Utilizes efficient scraping techniques to minimize runtime and resource usage. - Unique Data Enrichment: Extracts additional metadata like variant details, incentives, and geographic information for deeper analysis. ## Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | No | An array of URLs pointing to Smartandsexy product pages from which reviews will be scraped. At least one URL is required for the Actor to run. | ["https://www.smartandsexy.com/collections/best-selling-bras/products/mesh-plunge-bra-classic-leopard"] | ## Example Usage ### Input Configuration json { "Urls": [ "https://www.smartandsexy.com/collections/best-selling-bras/products/perfect-push-up-racerback-bra-black-hue" ] } ### Output Example json [ { "url": "https://www.smartandsexy.com/collections/best-selling-bras/products/perfect-push-up-racerback-bra-black-hue", "product_id": "10078950621316", "yotpo_store_id": "Ld5O2knf6aV2aK0wc3tAuOAYqSn0YJ6g07PlOmHt", "review_id": "784245400", "rating": "5", "title": "I love!", "review_text": "A lot of support without digging into my back!", "created_at": "2025-11-22T20:55:42", "verified_buyer": "True", "is_incentivized": "True", "incentive_type": "yotpo_loyalty_points", "is_shop": "False", "user_id": "165657828", "user_name": "Kaleigh H.", "user_type": "User", "sentiment": "0.98885036", "votes_up": "0", "votes_down": "0", "country_code": "US", "country_label": "\ud83c\uddfa\ud83c\uddf8 United States", "variant_size": "36D", "variant_color": "Black Hue", "language": "en", "topics": [], "images": [], "videos": [], "custom_fields": null, "comment": null, "actor_id": "WGrJYlhREva3N5plf", "run_id": "FBgYIk75QsmUREBMk" } ] ## Use Cases - Market Research and Analysis: Gather customer feedback to identify trends in product preferences and satisfaction levels. - Competitive Intelligence: Compare reviews across similar products to benchmark performance and uncover strengths/weaknesses. - Price Monitoring: Analyze reviews alongside pricing data to optimize product positioning and promotions. - Content Aggregation: Collect user-generated content for social media campaigns or testimonial compilations. - Academic Research: Study consumer behavior and sentiment in e-commerce, particularly in fashion and apparel sectors. - Business Automation: Automate review monitoring for quality control and rapid response to customer issues. ## Installation and Usage 1. Search for "Smartandsexy Reviews 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 as an array of review objects. Each object includes key fields such as url (source product page), rating (numerical score), review_text (full review content), created_at (timestamp), verified_buyer (purchase verification), sentiment (analysis score), and additional metadata like user details, variant info, and incentives. This structured format facilitates easy parsing and integration into downstream applications. ## 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! ---