Myntra Reviews Extractor

Myntra Reviews Extractor pulls customer reviews from any Myntra product and returns them as clean, structured data. Give it a product URL or a product ID and it collects every review it can reach, complete with the star rating, reviewer name, full review text, the size the shopper bought, review photos and videos, helpful votes, and the date the review was posted.

Each run also returns product level rating data: the average rating, the total number of ratings, the written review count, and the full one to five star breakdown. That means you get both the individual voices and the big picture in a single dataset.

Unlike a quick page grab that only sees the first handful of reviews, this actor pages through the reviews for each product until it reaches the limit you set. Ask for 100 reviews and it collects up to 100. Ask for 500 and it keeps going.

Why use it

• Track your own listings. Watch ratings and complaints on the products you sell and catch problems while they are small.
• Sizing and fit insights. Every review carries the size the shopper bought, so you can spot patterns like "runs small" before they cost you returns.
• Competitor research. Pull reviews for competing products and compare sentiment, common praise, and common complaints side by side.
• Feed your own tools. Export structured review data straight into dashboards, spreadsheets, BI tools, or a sentiment model.
• Market and product research. Build review datasets across a category to understand what shoppers actually care about.

How it works

1. You paste one or more Myntra products (a full myntra.com URL or just the numeric product ID).
2. The actor reads the product ID and requests reviews page by page.
3. It keeps collecting until it reaches your maxItems limit or runs out of reviews for that product.
4. Every review becomes one row in the dataset, enriched with the product name, brand, and overall rating stats.

No login, no browser extension, no copy and paste.

Input

Field	Type	Required	Description
productUrls	array of strings	yes	Myntra products to collect reviews from. One URL or ID per line.
sortBy	string	no	Order reviews are collected in: recent, helpful, positive, or negative. Default recent.
maxItems	integer	no	Maximum reviews to collect per product. Default 20, maximum 1000.
requestTimeoutSecs	integer	no	Per request timeout in seconds. Default 30.

Both https://www.myntra.com/reviews/27950524 and the bare ID 27950524 are accepted. Product page URLs work too, since the actor reads the numeric ID from whatever you paste.

Example input

{
    "productUrls": [
        "https://www.myntra.com/reviews/27950524",
        "27950524"
    ],
    "sortBy": "recent",
    "maxItems": 200
}

Output

The actor returns one row per review. Each row combines the review itself with product level context, so every row stands on its own.

Example output row

{
    "productId": "27950524",
    "productName": "Sangria Embroidered Boat-Neck Kurta With Trousers & Dupatta",
    "brand": "Sangria",
    "articleType": "Kurta Sets",
    "productAvgRating": 4.15,
    "productTotalRatings": 20516,
    "productReviewCount": 3687,
    "productImageCount": 2206,
    "ratingDistribution": { "1": 2068, "2": 883, "3": 1524, "4": 3487, "5": 12554 },
    "reviewId": "e8a65f7e-03bc-4917-9e8e-f8f7a1c68284",
    "rating": 5,
    "reviewText": "Excellent quality, elegant design, and outstanding comfort...",
    "reviewerName": "Kashti",
    "sizeBought": "XS",
    "upvotes": 12,
    "downvotes": 0,
    "reviewImages": ["https://assets.myntassets.com/.../review.jpg"],
    "reviewVideos": [],
    "reviewStatus": "ACTIVE",
    "reviewDate": "2026-07-13T19:09:36+00:00",
    "reviewUrl": "https://www.myntra.com/reviews/27950524",
    "scrapedAt": "2026-08-19T09:22:10+00:00"
}

Output fields

Field	Type	Description
productId	string	Numeric Myntra product ID
productName	string	Product name. Omitted when it cannot be read for the product.
brand	string	Brand name. Omitted when it cannot be read for the product.
articleType	string	Product category, for example Kurta Sets
productAvgRating	number	Average rating across all shoppers
productTotalRatings	integer	Total number of ratings
productReviewCount	integer	Total number of written reviews on Myntra
productImageCount	integer	Total number of review images on Myntra
ratingDistribution	object	Count of ratings for each star level, 1 to 5
reviewId	string	Unique review ID
rating	integer	Star rating the reviewer gave, 1 to 5
reviewText	string	Full text of the review
reviewerName	string	Display name of the reviewer
sizeBought	string	Size the reviewer purchased
upvotes	integer	Helpful votes on the review
downvotes	integer	Downvotes on the review
reviewImages	array	Image URLs attached to the review
reviewVideos	array	Video URLs attached to the review
reviewStatus	string	Review status, for example ACTIVE
reviewDate	string	When the review was posted, ISO 8601
reviewUrl	string	The reviews page the data came from
scrapedAt	string	When the row was collected, ISO 8601

Export options

Results are stored in a standard Apify dataset. Export to JSON, CSV, Excel, or HTML from the Apify Console, or pull the data through the Apify API and integrate it into your own workflow.

Run it with the API

You can start a run and read the results programmatically. Replace YOUR_TOKEN with your Apify API token.

curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~myntra-reviews-extractor/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "productUrls": ["https://www.myntra.com/reviews/27950524"],
        "maxItems": 200
      }'

Tips

• Set maxItems to match how deep you want to go. A product may have thousands of reviews, so a higher limit means a longer run.
• Use sortBy to focus a run. negative surfaces complaints fast, positive surfaces the best feedback, helpful brings the most upvoted reviews to the top.
• Pass many products in productUrls to build a category wide dataset in one run.

Frequently asked questions

How many reviews can I get per product? Up to 1000 per product, capped by maxItems. The actor stops early if a product has fewer reviews than your limit.

Can I scrape several products at once? Yes. Add each product to productUrls, one per line, as a URL or an ID.

What if a product has no written reviews? You still get a row with the product level rating stats and a short note that no individual reviews were available.

Does it need any credentials from me? No. You only provide the products you want reviews for.

Notes

• Use the data responsibly and in line with Myntra's terms of service.
• Rating totals reflect what Myntra reports on the public reviews page at the time of the run.