Myntra Reviews Scraper

What does Myntra Reviews Scraper do?

Myntra Reviews Scraper collects customer reviews from public Myntra product pages and saves each review as a structured dataset item. Add one or more Myntra product URLs ending in /buy, choose how many reviews to collect per product, and receive review text, ratings, votes, media references, fit feedback, and product metadata for analysis.

This Myntra reviews scraper is useful for sentiment analysis, product research, marketplace intelligence, customer experience audits, and competitor monitoring. Run it once for a product report or schedule repeat runs to track how customer feedback changes over time.

Why use Myntra Reviews Scraper?

• Collect review data in bulk - Process several Myntra product pages in one run instead of copying reviews manually.
• Support sentiment analysis - Use the original review text, star ratings, reviewer names, and helpful vote counts in NLP workflows and dashboards.
• Understand product quality - Analyze recurring comments about sizing, fabric, fit, delivery experience, and overall satisfaction when customers provide that information.
• Keep media context - Preserve available review image and video references for user-generated content research.
• Create repeatable monitoring - Schedule runs in Apify to compare new reviews, rating patterns, and customer concerns over time.
• Export for downstream work - Download the dataset as JSON, CSV, Excel, XML, or connect it to webhooks and automation tools.

What data can you extract from Myntra?

Each dataset item represents one review. Fields are included when Myntra provides them, so optional fields may be absent from some records.

Field	Type	Description
reviewId	String	Unique review identifier when available.
productId	String	Myntra product identifier.
productUrl	String	Myntra product URL submitted for the run.
userRating	Number	Customer star rating.
review	String	Customer review text.
userName	String	Reviewer display name when available.
upvotes	Number	Number of helpful or positive votes.
downvotes	Number	Number of unhelpful or negative votes.
canEdit	Boolean	Whether the source marks the review as editable, when provided.
status	String	Review status such as active, when available.
rejectedReason	String	Moderation reason when provided by the source.
updatedAt	String or Number	Source timestamp for the review update.
images	Array	Image URLs and available image metadata attached to the review.
videos	Array	Video references attached to the review when available.
styleAttribute	Array	Fit, size, or style feedback attributes.
userStyleAnswer	Array	Additional style-related answers from the reviewer.
totalReviewCount	Number	Total review count reported for the product when available.
apiPage	Number	Result page associated with the saved review.
apiSize	Number	Number of reviews requested for that result page.
sourceUrl	String	Source reference associated with the collected record.
scrapedAt	String	ISO 8601 timestamp for when the item was collected.

How to scrape Myntra reviews

1. Open Myntra Reviews Scraper in Apify Console.
2. Add one or more complete Myntra product URLs ending with /buy.
3. Set reviewsLimit to the maximum number of reviews you want per product.
4. Enable Apify Proxy for larger or repeated runs when needed.
5. Start the run and review the dataset preview.
6. Download the results or connect the dataset to your analysis workflow.

Input Parameters

Parameter	Type	Required	Default	Description
productUrls	Array	Yes	Example Myntra product URL	Product URLs to collect reviews from. Each entry can be a URL object from the Apify input form. URLs should use the Myntra /buy format.
reviewsLimit	Integer	No	20	Maximum number of reviews to collect per product.
proxyConfiguration	Object	No	Apify Proxy enabled	Apify Proxy settings for larger, repeated, or production runs. Residential proxy access is recommended when reliability is important.

Output Data

The dataset contains one item per saved review. Empty values are omitted, which keeps records compact when a customer did not provide media, style answers, or moderation details.

Field	Type	Description
reviewId	String	Review identifier used to distinguish a customer review.
productId	String	Product identifier extracted from the supplied product URL.
userRating	Number	Numeric customer rating.
review	String	Review text for sentiment and topic analysis.
userName	String	Public display name when available.
upvotes	Number	Helpful vote count.
downvotes	Number	Unhelpful vote count.
canEdit	Boolean	Whether the source marks the review as editable, when provided.
status	String	Review status when available.
rejectedReason	String	Moderation reason when provided by the source.
updatedAt	String or Number	Source timestamp for the review update.
images	Array	Customer-uploaded image references and metadata.
videos	Array	Customer-uploaded video references when available.
styleAttribute	Array	Structured fit or style answers.
userStyleAnswer	Array	Additional style-related answers from the reviewer.
totalReviewCount	Number	Product-level review count when provided.
productUrl	String	Original Myntra product URL.
sourceUrl	String	Source reference for the saved item.
apiPage	Number	Page number from which the review was collected.
apiSize	Number	Page size used for that result page.
scrapedAt	String	Collection timestamp in ISO 8601 format.

Usage Examples

Basic Product Review Collection

Collect up to 20 reviews from one Myntra product page. The URL format below is also available as the default Apify input example.

{
  "productUrls": [
    {
      "url": "https://www.myntra.com/tshirts/levis/levis-brand-logo-printed-pure-cotton-t-shirt/26773802/buy"
    }
  ],
  "reviewsLimit": 20
}

Multiple Myntra Products

Compare customer feedback from several products in the same run by adding more URL objects to productUrls.

{
  "productUrls": [
    {
      "url": "https://www.myntra.com/tshirts/levis/levis-brand-logo-printed-pure-cotton-t-shirt/26773802/buy"
    },
    {
      "url": "https://www.myntra.com/jeans/levis/levis-skinny-fit-mid-rise-clean-look-stretchable-jeans/2050688/buy"
    }
  ],
  "reviewsLimit": 50
}

Larger Collection with Apify Proxy

Use Apify Proxy and a higher limit when collecting a deeper review sample for product research or recurring monitoring.

{
  "productUrls": [
    {
      "url": "https://www.myntra.com/tshirts/levis/levis-brand-logo-printed-pure-cotton-t-shirt/26773802/buy"
    }
  ],
  "reviewsLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Sample Output

The following example shows one review dataset item. Optional properties such as media and style answers appear only when the source provides them.

{
  "reviewId": "d4c3782c-58ac-49c9-afce-22cab43b05b7",
  "productId": "26773802",
  "productUrl": "https://www.myntra.com/tshirts/levis/levis-brand-logo-printed-pure-cotton-t-shirt/26773802/buy",
  "userRating": 5,
  "review": "Very good quality t-shirt and the fit is comfortable.",
  "userName": "pratham chauhan",
  "upvotes": 0,
  "downvotes": 0,
  "status": "ACTIVE",
  "updatedAt": "1758983008000",
  "images": [
    {
      "url": "https://assets.myntassets.com/assets/images/2025/SEPTEMBER/27/Lt3k9RCe_3de4764472d64d39a63b8b0f5a8ec6f8.jpg",
      "damId": "1117309409",
      "resolution": "1500X1129"
    }
  ],
  "styleAttribute": [
    {
      "name": "Size bought",
      "value": "M"
    }
  ],
  "totalReviewCount": 1287,
  "apiPage": 1,
  "apiSize": 20,
  "sourceUrl": "https://www.myntra.com/reviews/26773802",
  "scrapedAt": "2026-08-02T08:15:22.000Z"
}

Tips for Best Results

• Use complete product URLs - Provide public Myntra links ending with /buy, including the numeric product ID.
• Start with a small limit - Test one product with reviewsLimit set to 20 before requesting a larger dataset.
• Group related products - Process products from the same brand, category, or campaign together for easier comparison.
• Use proxy for repeat runs - Apify Proxy is recommended for larger collections and scheduled monitoring.
• Expect optional fields - Reviews without images, videos, votes, or style answers will not contain those properties.
• Check the source when needed - Product pages and available review fields can change, so report persistent issues through the Actor's Issues tab.

Integrations and Exports

• Google Sheets - Export CSV or Excel files for review summaries and manual analysis.
• Airtable - Store review records in a searchable product feedback database.
• Webhooks - Notify another service when a run finishes.
• Make and Zapier - Send new review data into no-code workflows.
• Apify API - Retrieve dataset items programmatically for dashboards, data warehouses, AI agents, and RAG pipelines.
• File exports - Download JSON, CSV, Excel, XML, and other formats supported by Apify datasets.

Frequently Asked Questions

How many reviews can I collect per product?

You can request the number of reviews set in reviewsLimit, with a default of 20 per product. The final count can be lower when a product has fewer available reviews or when some source records are duplicates.

Can I scrape multiple Myntra products in one run?

Yes. Add multiple product URL objects to productUrls, and the Actor collects reviews for each valid Myntra product page.

Why are some output fields missing?

Some fields are missing because the individual review does not include that information. Media, style answers, moderation details, and some vote fields are optional on the source.

Are duplicate reviews included?

No. Duplicate review records are removed so the dataset is more suitable for counting, sentiment analysis, and product comparisons.

Do I need to configure a proxy?

No for small tests, because proxy configuration is optional. Apify Proxy, especially residential access, is recommended for larger or recurring runs.

Can I schedule Myntra review monitoring?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at a custom interval, then compare each dataset with previous runs.

Can I export Myntra reviews to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats, or accessed through the Apify API.

Is it legal to collect Myntra reviews?

Collecting public web data may be subject to laws, privacy requirements, and Myntra's terms. You are responsible for confirming that your use is permitted and for handling review data responsibly.

Related Actors

• Flipkart Reviews Scraper - Collect reviews from another major Indian ecommerce marketplace.
• AliExpress Reviews Scraper - Gather product reviews and customer feedback from AliExpress.
• Myntra Product Scraper - Collect Myntra catalog data such as prices, ratings, availability, and product details.

Support

For issues, feature requests, or questions about a run, use the Issues tab on the Actor page in Apify Console. Include the input pattern, product category, and a small example when reporting missing or unexpected fields.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available product review data. Users are responsible for complying with applicable laws, privacy obligations, Myntra's terms, and any restrictions on storing or redistributing customer-generated content.