Myntra Product Reviews Extractor

Scrape reviews for multiple Myntra products quickly and reliably using direct API calls.

🚀 Why Choose This Actor?

• API-Based Approach vs Automation: Unlike traditional browser automation (Puppeteer), this Actor uses direct Myntra API calls for ultra-fast and reliable extraction.

• Speed & Performance: Extract hundreds of reviews in seconds without waiting for page loads or rendering.

• Anti-Bot & Anti-Blocking: Built-in anti-blocking mechanisms and smart metadata requests prevent unnecessary calls and avoid getting blocked.

• Reliable Scraping: Automatic retries, proxy support, and rate limiting ensure consistent and complete data collection.-

Use cases

• Collect product reviews for analysis

• Monitor customer feedback and ratings

• Aggregate reviews for multiple products in one go

---

Perfect for:

• 📊 Market Research – Quickly gather product feedback at scale

• 🔍 Competitor Analysis – Compare reviews across multiple brands

• 📝 Sentiment Analysis – Analyze customer opinions efficiently

---

Input Options

When running the scraper, you can configure:

• Product URLs: List of product urls

• Reviews Limit: Limit how many reviews to scrape for each product

• Note: Before fetching reviews, the Actor makes a preliminary metadata request for each product. This helps determine if the product has enough reviews to meet the requested limit and prevents unnecessary requests that could potentially trigger blocks from the site.

---

Sample Input

Here is a sample JSON input you can provide when running the scraper:

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

What You Get (Output Format)

Each scraped product includes:

• Review details: Rating, text, images, videos
• User info: Name, upvotes, downvotes
• Attributes: Fit, size, length, transparency, etc.

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"
}

Troubleshooting

• The Actor logs warnings and errors in real-time, including failed requests, incomplete data, or issues fetching reviews.

• Retry Mechanisms & Proxies: Failed requests are automatically retried. Proper proxy configuration is handled by the Actor to avoid request blocks.

• Rate Limiting: The Actor automatically manages rate limiting to prevent API blocks, so users do not need to throttle requests manually.

• Users can monitor the Actor run logs to see messages and take action if needed.