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Myntra Product Reviews Extractor

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from $1.50 / 1,000 results

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Myntra Product Reviews Extractor

Myntra Product Reviews Extractor

Scrape Myntra product reviews quickly and reliably using direct API calls.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

Krazee

Krazee

Maintained by Community

Actor stats

0

Bookmarked

18

Total users

1

Monthly active users

2 days ago

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🧡⭐ Myntra Product Reviews Extractor

Extract real customer reviews from Myntra products quickly and reliably using direct API calls instead of slow browser automation.

This Actor collects ratings, review text, images, videos, user details, style attributes, and moderation signals in a clean, structured format. It is ideal for sentiment analysis, review insights, brand research, and analytics dashboards.

Whether you are tracking customer feedback or building data pipelines, this scraper focuses on signal over noise.

πŸ“š Table of Contents


πŸš€ Why Choose This Actor?

Think of this Actor as a direct line into Myntra’s review system.

You provide:

  • πŸ›οΈ One or more Myntra product URLs

  • πŸ”’ A review limit per product

The Actor:

  • Fetches product metadata first (to validate review availability)

  • Calls Myntra’s review APIs directly

  • Extracts reviews exactly as users see them

  • Returns structured, analysis-ready data

🧠 No browser. No scrolling. No rendering. Just clean data.


πŸš€ Why Choose This Actor?

⚑ API-Based (Not Browser Automation)

Unlike Puppeteer or Playwright-based scrapers, this Actor:

  • Uses direct API calls
  • Avoids DOM breakage
  • Is faster, lighter, and more reliable

🏎 Speed & Performance

  • Scrape hundreds of reviews in seconds
  • No page loads or JS rendering delays

πŸ›‘ Anti-Blocking by Design

  • Smart metadata checks avoid unnecessary API calls
  • Built-in retries, proxy handling, and rate control
  • Reduced risk of throttling or soft bans

πŸ” Reliable at Scale

  • Handles multiple products in one run
  • Gracefully retries failed requests
  • Designed for batch workflows and automation

🎯 Perfect For

  • πŸ“Š Market & Consumer Research
    Understand what customers really think at scale.

  • πŸ” Competitor & Brand Analysis
    Compare sentiment across products, brands, and categories.

  • 🧠 Sentiment & NLP Pipelines
    Feed clean review data into ML models or analytics dashboards.

  • 🧾 UGC & Content Analysis
    Analyze images, videos, and user-submitted attributes.


⬇️ Input Options

When running the Actor, configure:

  • πŸ› Product URLs
    One or multiple Myntra product links

  • πŸ”’ Reviews Limit
    Maximum number of reviews to extract per product

πŸ’‘ Smart optimization:
Before scraping reviews, the Actor checks product metadata to ensure enough reviews exist, avoiding wasted calls and unnecessary throttling.


πŸ§ͺ Sample Input

{
"productUrls": [
"https://www.myntra.com/tshirts/levis/levis-brand-logo-printed-pure-cotton-t-shirt/26773802/buy"
],
"reviewsLimit": 150
}

πŸ“¦ What You Get (Output)

Each review item includes:

  • ⭐ Review Details
    Rating, review text, and timestamps

  • πŸ‘€ User Info
    User name, upvotes, downvotes, and edit permissions

  • πŸ–Ό Media
    Review images and videos when available

  • 🎨 Style & Attributes
    Size bought, fit feedback, and product-specific attributes

  • 🚦 Moderation Metadata
    Review status and rejection reason if applicable


πŸ“₯Example output (JSON):

{
"id": "d4c3782c-58ac-49c9-afce-22cab43b05b7",
"style": {
"id": "26773802"
},
"userRating": 5,
"review": "Very good quality t-shirt",
"images": [
{
"url": "https://assets.myntassets.com/assets/images/2025/SEPTEMBER/27/Lt3k9RCe_3de4764472d64d39a63b8b0f5a8ec6f8.jpg",
"reviewId": "",
"damId": "1117309409",
"resolution": "1500X1129",
"aspectRatio": "1500:1129"
}
],
"videos": [],
"userStyleAnswer": [],
"styleAttribute": [
{
"name": "Size bought",
"value": "M"
}
],
"status": "ACTIVE",
"upvotes": "0",
"downvotes": "0",
"userName": "pratham chauhan",
"canEdit": false,
"rejectedReason": "approved",
"updatedAt": "1758983008000"
}

βš™οΈ Reliability, Limits & Safeguards

  • πŸ” Automatic retries for failed requests
  • πŸ›‘ Proxy support to reduce throttling
  • ⏱ Rate limiting handled internally
  • πŸ“‰ Smart metadata checks to avoid over-fetching

πŸ’‘ On free Apify plans, practical limits may apply to total requests per run.


πŸ›  Troubleshooting & Logs

  • The Actor logs warnings and errors in real time
  • Failed or partial requests are retried automatically

Users can inspect run logs to:

  • Identify blocked requests
  • Track retries
  • Debug unexpected gaps in data

⚠️ In most cases, no manual intervention is required. The Actor is designed to self-heal.