Mango Tv Data Scraping Api — Real-time Global Catalog, Top 10 & Regional Availability Data By: REAL DATA API
Pull live Mango TV content catalog, per-country regional availability, Top 10 trending charts, bundled Channels, and leaving-soon expiration data at scale across every Mango TV market worldwide. 99.9% uptime, sub-3s response times.(read entire article)(posted on: 2026-10-14)
View : 51 Times
9 Benefits Of Hiring A Cio To Manage Your Enterprise Business By: brainbell10
Fast-paced and technology-driven business Sataware landscape, the role of Byteahead a Chief Information Officer web development company (CIO) has become increasingly app developers near me crucial.(read entire article)(posted on: 2026-10-14)
View : 52 Times
Automated Rera Data Collection For Real Estate Risk By: iwebdatascraping
Automated RERA Data Collection for Real Estate Risk and Lending Intelligence Through Project Monitoring and Developer Performance Analytics(read entire article)(posted on: 2026-10-14)
View : 32 Times
Jd Edwards Erp Security Best Practices & Compliance Guide By: Saamsha
Strengthen your JD Edwards ERP security with role-based access, closed security models, auditing, data protection, and expert best practices for enterprises.(read entire article)(posted on: 2026-10-14)
View : 57 Times
Moove Us Used City-level Ride-hailing Fare Data Scraping By: iwebdatascraping
Moove US Used City-Level Ride-Hailing Fare Data Scraping for Advanced Mobility Pricing, Competitive Benchmarking, and Urban Transportation Intelligence(read entire article)(posted on: 2026-10-14)
View : 32 Times
How Outsourced Soc Services Help Businesses By: Devendra singh
NG Cloud Security helps businesses explore cybersecurity solutions that align with their infrastructure, security priorities, and operational goals. With the right provider, organizations can strengthen incident response, improve security monitoring, and focus on their core business activities while building a more resilient cybersecurity strategy.(read entire article)(posted on: 2026-10-14)
View : 39 Times
Protecting Electronics From The Ground Up: Staticstop At Pcb Carolina 2026 By: Steven Dubin
StaticStop will exhibit at PCB Carolina 2026 on Wednesday, Nov. 11, at the McKimmon Center at NC State University in Raleigh, North Carolina.(read entire article)(posted on: 2026-10-14)
View : 43 Times
Myntra Review Scraping: Review Trend Tracking For A D2c Label By: iwebdatascraping
Review Trend Tracking on Myntra for a D2C Apparel Label: A Myntra Review Scraping Case Study
Myntra review scraping helped a D2C apparel label track customer sentiment by product and month, find fit and fabric issues and cut size-related returns.
---
The challenge
The client is a fast-growing D2C label that sells most of its volume through Myntra. Its team asked iWeb Data Scraping a simple question: "We need our brand's customer reviews and how they are shaping over time." Ratings had slipped slightly over two seasons, returns were rising, and the team could not tell whether the cause was fit, fabric, colour accuracy or delivery.
Reading reviews manually on the marketplace was slow, and the seller dashboard did not show trends by product, theme or month.
Volume. The brand had more than 1,200 live styles with thousands of reviews between them.
Short, mixed-language text. Many reviews were brief ("size runs small", "colour different") or written in Hinglish.
Linking reviews to product attributes. To act, the team needed to know which fabrics, fits and categories drew complaints.
Competitor context. A 4.0 rating means little without knowing how comparable brands perform in the same category.
What we built
Step 1: Product list and attributes
iWeb Data Scraping collected all live styles for the brand and five competitors, with category, fabric, fit, colour, price and size range.
Step 2: Review collection
For each style, collectors captured public star ratings, review text, review date, size purchased where shown, and helpful votes. Reviewer names were excluded.
Step 3: Theme and sentiment tagging
Each review was tagged with themes using an AI classifier trained on fashion vocabulary, including Hinglish: fit (too small, too large, length), fabric (thin, see-through, rough, shrinkage), colour (different from image, fading), stitching and finish, comfort, value for money, and delivery or packaging.
Step 4: Trend tables
Ratings and theme shares were calculated by month, category, fabric and fit, for the brand and for each competitor.
Step 5: Alerts
Any style whose rolling 30-day rating fell below 3.8, or where "size runs small" exceeded 25% of reviews, triggered an alert to the product team.
Results
Reviews analysed: 48,000 in the first run, providing a broad customer-feedback dataset.
Styles flagged for fit issues: 37 styles identified for potential improvements.
Size-related feedback: "Size runs small" mentions in women's dresses decreased from 22% to 9% after the size-chart fix.
Average rating improvement: Fixed styles gained +0.3 stars over three months.
The biggest finding was that one rayon dress block ran small across 37 styles. The team updated its size chart, added a "size up" note on product pages, and corrected the pattern for the next production run. Returns linked to fit fell noticeably in the following season. A second finding, that two colours looked brighter in photos than in reality, led to a change in product photography.
How it's delivered
The record below is illustrative.
{
"brand": "Example Label",
"style_id": "MY-2938471",
"category": "Women > Dresses",
"fabric": "Rayon",
"fit": "A-line",
"review_date": "2026-09-18",
"stars": 3,
"size_purchased": "M",
"review_text": "Design is nice but size runs small, had to return and order L",
"themes": ["fit_too_small"],
"sentiment": -0.3,
"helpful_votes": 12
}
Women's dresses: Brand rating is 3.9 vs. competitor median 4.1. The top complaint is fit too small, mentioned in 22% of reviews.
Women's tops: Brand rating is 4.2 vs. competitor median 4.1. The main complaint is colour different, appearing in 9% of reviews.
Men's shirts: Brand rating is 4.0, matching the competitor median. The primary complaint is fabric thin, mentioned in 11% of reviews.
Men's joggers: Brand rating is 4.3 vs. competitor median 4.0. The main complaint is length too short, appearing in 6% of reviews.
How the product team uses the data each week
Every Monday, the product team receives a short report with four parts: styles that crossed an alert threshold, the top three complaint themes by category, new themes that appeared for the first time, and positive themes worth using in marketing copy (for example, "soft fabric" and "true to colour"). The design team uses the fit data when grading new patterns, and the photography team checks colour complaints before each shoot. Customer support uses the same theme tags to prepare answers to common questions on product pages.
The outcome
Reviews linked to attributes showed patterns no single review could reveal.
Hinglish-aware tagging captured complaints that keyword searches would miss.(read entire article)(posted on: 2026-10-14)
View : 36 Times
Us Wine Retail Data Extraction: Sku Price Tracking Case Study By: WebDataScraping.us
Discover how US wine retail data extraction helps wineries track SKU-level prices, promotions, availability and competitor wines across grocery and liquor chains. Learn how UPC-based monitoring supports pricing intelligence, promotion checks and distribution gap analysis.(read entire article)(posted on: 2026-10-13)
View : 25 Times
How To Find A Reliable Translator For Rare Languages And Dialects By: premiumlinguisticservices
Getting a translator for a common language is often easy. But finding the right person for a less common language, or a local dialect, can take more work. You might need help with a personal paper, official legal forms, medical details, or company material. In all of those cases, you want correct meaning and good cultural sense.(read entire article)(posted on: 2026-10-13)
View : 35 Times
© 2006 123ArticleOnline.com. All Rights Reserved. Use of our service is protected by our Privacy Policy and Terms of Service
