Myntra Product Scraper — Prices, Sizes, Reviews & Specs 👗

🎉 Turn any Myntra search into a clean product dataset — price, MRP, discount %, ratings, sizes, colour variants, images & full specs

Built for price-monitoring teams, fashion e-commerce analysts, and catalog researchers who need Myntra data without writing a single line of code

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📋 Overview

Myntra Product Scraper pulls clean, structured product data from Myntra — India's leading online fashion and lifestyle marketplace — straight into a spreadsheet-ready dataset. Search by keyword, browse a whole category, or paste a Myntra URL, and get back every product with its price, discount, ratings, sizes, colours, images and full specifications.

Why teams choose this scraper:

• ✅ Complete product records: style id, name, brand, price, MRP, discount %, rating, rating count, sizes, colour variants and image gallery — all in one row
• ⚡ Two speeds, one dataset: fast Overview for wide catalog sweeps, deep Detail for the full spec sheet, description, reviews count, seller and country of origin
• 🎯 Myntra's own filters: brand, gender, colour, size and price band mirror the site's real facets, so you get exactly what shoppers see
• 💰 Pay-per-result: you're charged only for products you actually receive — no wasted spend
• 💎 No code, no account, no API key: paste a search term and press Start
• ✨ URL & category friendly: drop in any Myntra listing or product URL and it just works

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✨ Features

• 👕 Full product catalog extraction — name, brand, style id, article type, gender, master & sub category
• 💵 Complete pricing — selling price, MRP, discount amount and discount %, all in INR
• ⭐ Ratings & reviews — average rating, rating count, review count and the full star-rating breakdown
• 📏 Sizes & colour variants — every available size plus the style ids of sibling colour variants
• 📸 Image galleries — the search card image plus the full product gallery in detail mode
• 📋 Full specifications — the complete product specification table (fabric, fit, pattern, care and more)
• 🏬 Seller & origin — seller name and manufacturing country of origin
• 🔃 Native sorting — recommended, popularity, price, newest, discount or customer rating
• 🎛️ Powerful filtering — brand, gender, colour, size and a client-side price band
• 🔗 Flexible inputs — keyword search, category slug, listing URL or direct product URL

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🎬 Quick Start

Provide a search term (or a Myntra URL), choose Overview or Detail, press Start — results stream into the dataset as JSON, CSV or Excel.

curl -X POST https://api.apify.com/v2/acts/sian.agency~myntra-product-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"queries": ["men-tshirts"], "scrapeMode": "overview", "brand": "Nike"}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Enter what to scrape

Add a search term or category slug (e.g. tshirts, men-tshirts, women-dresses), or paste a Myntra listing/product URL.

Step 2: Choose your depth & filters

Pick Overview (fast) or Detail (full specs + reviews + seller), then optionally set brand, gender, colour, size, price band and sort.

Step 3: Press Start

Watch the products stream into your dataset.

That's it! In under a minute, you'll have:

• A clean, spreadsheet-ready product dataset
• Every price, discount, rating, size and image
• One-click export to JSON, CSV or Excel

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📥 Input Configuration

Field	Type	Required	Description
queries	array	No	Search terms or Myntra category slugs (e.g. men-tshirts, tshirts)
scrapeMode	string	No	overview (fast) or detail (full specs, reviews, seller)
sort	string	No	recommended, popularity, price_asc, price_desc, newest, discount, rating
brand	string	No	Restrict to one brand (e.g. Nike) — Myntra's own brand facet
gender	string	No	men, women, boys, girls or unisex
colour	string	No	Restrict to a colour (e.g. Black)
size	string	No	Restrict to a size (e.g. M, 9)
minPrice / maxPrice	integer	No	Client-side price band in INR
searchUrls	array	No	Paste Myntra listing/search URLs to scrape verbatim
productUrls	array	No	Paste Myntra product URLs to enrich directly (always full detail)
maxResults	integer	No	Cap on total products returned

Example — overview by category + brand:

{
  "queries": ["men-tshirts"],
  "scrapeMode": "overview",
  "brand": "Nike",
  "sort": "popularity",
  "maxResults": 100
}

Example — full detail with a price band:

{
  "queries": ["women-dresses"],
  "scrapeMode": "detail",
  "minPrice": 500,
  "maxPrice": 2000
}

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📤 Output

Results are saved to the Apify dataset with 30+ fields per product, including:

Field	Type	Description
style_id	integer	Myntra product style id
product_name	string	Full product name
brand	string	Brand name
price / mrp	integer	Selling price and list price (INR)
discount_percent	number	Discount off the MRP
rating / rating_count	number	Average rating and number of ratings
reviews_count	integer	Number of written reviews (detail)
rating_breakdown	object	Star histogram { "5": n, "4": n, ... } (detail)
sizes	array	Available sizes
colour_variants	array	Sibling colour-variant style ids
images	array	Full image gallery
specifications	object	Full spec table — fabric, fit, pattern, care… (detail)
seller_name	string	Seller fulfilling the item (detail)
country_of_origin	string	Manufacturing country (detail)
url	string	Product page link

Example:

{
  "style_id": 30242288,
  "product_name": "Decathlon Domyos - Kids Black Moisture Management T-shirt",
  "brand": "Decathlon",
  "price": 299,
  "mrp": 599,
  "discount_percent": 50.1,
  "rating": 3.96,
  "rating_count": 28,
  "reviews_count": 6,
  "gender": "Unisex Kids",
  "article_type": "Tshirts",
  "sizes": ["7-8Y", "8-9Y", "10-11Y", "12-13Y", "14-15Y"],
  "colour_variants": [30242290],
  "images": ["https://assets.myntassets.com/…-1.jpg"],
  "seller_name": "Decathlon Sports India Pvt Ltd",
  "country_of_origin": "India",
  "url": "https://www.myntra.com/Tshirts/Decathlon/…/30242288/buy"
}

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💼 Use Cases & Examples

1. Price & Discount Monitoring

E-commerce teams tracking competitor prices and promotions across Myntra. Input: A category slug or brand · Output: Price, MRP and discount % per product · Use: Spot price drops and flash-sale depth in a daily run.

2. Fashion Catalog & Assortment Research

Merchandisers mapping what's on sale, in which sizes and colours. Input: women-dresses in detail mode · Output: Sizes, colour variants and article types · Use: Understand assortment breadth and gap-spot your own catalog.

3. Competitor Pricing Intelligence

Analysts benchmarking a brand's Myntra pricing. Input: brand: "Nike" · Output: Every Nike product with price and discount · Use: Build a live competitor price index.

4. Product Feed & Spec Extraction

Teams building product feeds that need the full spec sheet. Input: Detail mode · Output: Full specifications table, description and image gallery · Use: Populate marketplaces or comparison sites.

5. Size & Availability Tracking

Ops teams watching which sizes and colours are live. Input: A product URL list · Output: Sizes and colour variants per style · Use: Track stock breadth over time.

6. Seller & Sourcing Research

Sourcing teams checking who sells what and where it's made. Input: Detail mode · Output: Seller name and country of origin · Use: Map sellers and manufacturing origins across a category.

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/myntra-product-scraper').call({
  queries: ['men-tshirts'],
  scrapeMode: 'overview',
  brand: 'Nike',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/myntra-product-scraper').call(
    run_input={'queries': ['women-dresses'], 'scrapeMode': 'detail'}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~myntra-product-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"queries": ["handbags"], "scrapeMode": "overview"}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule (e.g. daily price check) or webhook
2. HTTP Request: Call the actor API
3. Process: Handle the JSON product results
4. Action: Save to a sheet, alert on price drops, or sync to your feed

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 products per run — full feature access, same data quality
• No credit card required
• Perfect for testing and small projects

PAID Tier (Production Ready)

• Unlimited products per run
• Sweep entire categories in a single run
• Pay-per-result: only charged for products actually returned

💰 Transparent pay-per-result pricing — the fast Overview event is the cheapest, so wide catalog sweeps stay affordable.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: How many products can I scrape? A: FREE tier: 25 per run. PAID tier: unlimited across all your searches and URLs.

Q: What's the difference between Overview and Detail? A: Overview is the fast search view (name, brand, price, MRP, discount, rating, sizes, colour variants, images). Detail adds the full description, specifications table, whole image gallery, star-rating breakdown, review count, seller and country of origin — merged into the same record.

Q: Can I filter by brand, size or price? A: Yes — brand, gender, colour and size use Myntra's own facets, and a client-side price band trims by selling price.

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

Q: Can I scrape a specific product? A: Yes — paste product URLs (or style ids) into productUrls and each is returned with full detail enrichment.

Q: Is this legal? A: Yes — the actor only extracts publicly available product data. See the legal note below.

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🐛 Troubleshooting

No products returned

• Check the search term or category slug — try a broad term like tshirts first
• Loosen filters (a very narrow brand + size + price band can return nothing)

Fewer results than expected

• FREE tier caps at 25 products per run — raise maxResults on a PAID plan
• A tight price band filters out products client-side

A pasted URL isn't recognized

• Make sure it's a myntra.com listing or product URL
• For products, the URL should contain the style id (the long number before /buy)

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what has been chosen to be shared publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Trademark notice: Myntra is a trademark of its respective owner. This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Myntra. It accesses only publicly available product information.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check the SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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