Myntra Scraper — Fashion Products, Prices, Sizes & Ratings from myntra.com

Not affiliated with, endorsed by or connected to Myntra Designs Pvt. Ltd. or Flipkart. "Myntra" is a trademark of its owner and is used here only to say which public website this Actor reads. The Actor collects information that Myntra shows to every visitor without an account.

Myntra Scraper turns myntra.com into a clean table. Give it search words ("men tshirts", "women kurta sets", "nike running shoes"), a Myntra category link, a brand, or a list of product ids, and it returns one row per product: name, brand, gender, category, price, MRP, discount percent, rating and rating count, colour, every size with per-size stock, images, seller name and address, description, material and care, return policy, badges and offers. It is a Myntra API alternative for people who need fashion product data from India's largest fashion marketplace and do not have an official feed: scrape myntra.com without login, export Myntra products to CSV, Excel or JSON, and push them to Google Sheets, a database or your own app. One run can carry more than 12,000 unique products; the Actor cuts Myntra's own 599-products-per-search limit apart by brand, colour, gender, price band and discount band, so a single search such as "men tshirts" is not stuck at the first few pages.

The data is what shoppers see: Myntra product data for price tracking, discount monitoring, assortment analysis, brand benchmarking and catalogue enrichment. Typical uses are a Myntra price tracker that records the selling price every day, a Myntra discount list ("sabse zyada discount wale products"), a size-availability watcher ("kaunsa size stock mein hai"), competitor analysis for D2C fashion brands, a fashion dataset for machine learning, and a product feed for comparison sites. Search phrases people use for this job: Myntra scraper, Myntra API, Myntra product scraper, scrape Myntra data, Myntra price scraper, Myntra data extraction, Myntra fashion dataset, Myntra sale tracker, myntra se product data kaise nikaale, मिंत्रा प्रोडक्ट डेटा, मिंत्रा स्क्रैपर, मिंत्रा डिस्काउंट डेटा.

Table of contents

1. At a glance
2. What you get
3. Who uses it: 16 workflows
4. Cookbook: 16 ready-made inputs
5. Quick start in the Apify Console
6. Quick start through the API
7. Input reference
8. Data dictionary
9. Real output sample
10. How deep and how fast: measurements
11. What you pay
12. Integrations
13. Performance tips
14. Troubleshooting and status messages
15. Honest limits
16. Compared with the other ways to get Myntra data
17. FAQ
18. Glossary
19. Legality and responsibility
20. Changelog
21. Support

At a glance

Site	myntra.com (India), public pages, no login
Modes	search words, category / search / filtered listing links, brand names, product ids and product links
Filters	brand, gender, colour, size, minimum and maximum price, minimum discount, minimum rating, sort order
Rows	one per Myntra product id (each colourway has its own id); de-duplicated by productId
Columns	56 (grouped below); every one filled or documented as conditional with a measured rate
Depth proven	12,000 unique products in one run on 29 Oct 2026, 0 duplicates, 7.8 minutes
Speed	30 products with full details in about 10 s (first row after 2.2 s); 1,000 products with details in about 40 s
Per-size stock	yes: units in stock per size and seller (product page data)
Price	pay per result, from $2.00 per 1,000 down to $1.30 per 1,000 on higher Apify plans; a maximum cost per run keeps you in control
Proxy	Apify datacenter proxy by default; the Actor moves to Indian residential traffic by itself if the datacenter route is refused
Output	Apify dataset: JSON, CSV, Excel, XML, RSS, HTML table; API and webhooks

What you get

Every row is one Myntra product page. The columns come in groups; the full list with types and measured fill rates is in the data dictionary.

Identity. productId, url, name, brand, gender, category (article type such as Tshirts, Kurtas, Casual Shoes), subCategory, masterCategory, descriptor.

Price. price (selling price in rupees), mrp, discountPercent, discountAmount, currency, plus the coupon Myntra advertises beside the price: couponCode, couponDiscount, priceWithCoupon, couponValidUntil.

Reputation. rating, ratingCount, reviewCount, and ratingDistribution (how many 1, 2, 3, 4 and 5 star ratings).

Variants and stock. colour, colourVariants (the other colourways with their ids, names, links and pictures), sizes, and sizeOptions: for every size the SKU id, whether it can be bought, the units in stock, the lowest price, the sellers offering it and the garment measurements (chest, length, shoulder...) where Myntra publishes them. inStock says whether any size is available.

Seller and legal. sellerName, sellerCity, sellerState, sellers (every seller with legal name, address, city, state, PIN code), manufacturer and countryOfOrigin as printed on the product page.

Content. description, sizeAndFit, materialAndCare, styleNote and attributes (fabric, neck, pattern, sleeve length, fit, occasion... the names depend on the category), images, imageUrl.

Policy and badges. isReturnable, isExchangeable, returnDays, codAvailable, tryAndBuy, offers and tags (merchandising badges such as "Best Seller", "Deal of the Day", "Just Launched").

Catalogue. season, year, listedAt, and the run fields query, detailsFetched, scrapedAt.

Switch Include sizes with stock, seller, description and specifications off and the Actor returns only what the listing pages carry (price, MRP, discount, rating, sizes list, colours, images, badges, coupon). That is about six times faster and is the right choice for pure price monitoring of very large lists.

Who uses it: 16 workflows

1. D2C fashion founders benchmark their prices against the same article type on Myntra: search "women kurta sets", filter 500 to 1,500 rupees, sort by popularity, and compare price, discountPercent and rating with their own catalogue every week.
2. Marketplace pricing analysts run a daily search per category and keep price, mrp and discountPercent with scrapedAt, building a price history that Myntra itself does not export.
3. Brand managers list every product of their brand (brands: ["Roadster"]) to see which colours and sizes are listed, how they are rated, and which sellers carry them.
4. Sellers on Myntra check whether their size runs are sold out (sizeOptions[].inventory) next to competitors' and how the "default seller" badge is distributed in sellers.
5. Deal and coupon sites read the highest discountPercent per category, the advertised couponCode and priceWithCoupon, and publish "Myntra 70% off" pages.
6. Resellers and arbitrage shops compare Myntra price with other marketplaces for the same brand and model.
7. Data scientists build fashion datasets: titles, attributes (attributes holds fabric, fit, pattern), images and ratings for classification, recommendation or visual-search training.
8. Market researchers measure assortment: how many products per brand, gender, colour, price band; the Actor's splitting walks those slices anyway.
9. Trend teams sort by "What's new" and track listedAt, season, year and the badges to see what Myntra pushes this week.
10. Size-and-fit researchers use the measurements inside sizeOptions (garment chest, length, shoulder) to compare size charts across brands.
11. Compliance and sourcing teams read manufacturer, countryOfOrigin and the seller's registered address printed on every product page.
12. Catalogue managers enrich their own SKU list: give productIds, get the full specification, images and description back.
13. Influencer and affiliate marketers pick products with high ratingCount and rating and a healthy discount, and link to url.
14. Investors and analysts follow the share of discounted products, the average discount and the brand mix of a category over time.
15. Logistics and returns analysts compare returnDays, isExchangeable, codAvailable across categories and brands.
16. AI agent builders give an LLM agent a tool that answers "what is the cheapest black cotton kurta above 4 stars on Myntra" with live rows.

Cookbook: 16 ready-made inputs

Paste any of these into the Input tab (JSON view). All of them were run against the live site before this README was written.

1. The 30-row smoke test (the default).

{ "searchQueries": ["men tshirts"], "maxResults": 30 }

2. One category, as many products as you want.

{ "searchQueries": ["women kurta sets"], "maxResults": 5000 }

3. A brand's whole catalogue.

{ "brands": ["Roadster"], "maxResults": 3000 }

4. A brand inside one category.

{ "searchQueries": ["men jeans"], "brands": ["Roadster", "H&M"], "maxResults": 1000 }

5. Cheap and deeply discounted, cheapest first.

{ "searchQueries": ["women kurtas"], "minPrice": 500, "maxPrice": 999, "minDiscount": 50, "sortBy": "priceLow", "maxResults": 500 }

6. Size and gender filters (shoes).

{ "searchQueries": ["sneakers"], "genders": ["women"], "sizes": ["UK 6"], "maxResults": 500 }

7. Colour and rating.

{ "searchQueries": ["tshirts"], "genders": ["men"], "colours": ["Maroon"], "minRating": 4, "sortBy": "rating", "maxResults": 300 }

8. Paste a Myntra link with its filters.

{ "startUrls": [{ "url": "https://www.myntra.com/men-jeans?f=Brand%3ARoadster&rf=Price%3A500.0_999.0_500.0%20TO%20999.0&sort=price_asc" }], "maxResults": 200 }

9. Exact products by id or link.

{ "productIds": ["12027436", "https://www.myntra.com/Lounge-Tshirts/Levis/Levis-Men-Soft-Pure-Cotton-Round-Neck-Half-Sleeve-Tshirt/12027432/buy"] }

10. Fast price-only list (no product pages).

{ "searchQueries": ["men tshirts"], "includeDetails": false, "maxResults": 5000, "maxConcurrency": 30 }

11. Several searches in one run (the budget is shared fairly).

{ "searchQueries": ["saree", "lehenga", "kurta set", "anarkali"], "maxResults": 2000 }

12. Hindi search words work too.

{ "searchQueries": ["लहंगा"], "maxResults": 100, "includeDetails": false }

13. Newest arrivals of a category.

{ "searchQueries": ["men shirts"], "sortBy": "new", "maxResults": 500 }

14. A very large export (the Actor splits the search).

{ "searchQueries": ["men tshirts"], "maxResults": 12000 }

15. Daily price watch of a fixed list (schedule this).

{ "productIds": ["12027436", "42122809", "25260156"], "includeDetails": true }

16. Capped spend: stop at 2,000 results whatever the search finds.

{ "searchQueries": ["women dresses"], "maxResults": 2000 }

Set Max cost per run in the Run options to put a hard dollar ceiling on top of maxResults.

Quick start in the Apify Console

1. Open the Actor, press Try for free, and stay on the Input tab.
2. Type your search words in Search words (one per line), or paste Myntra links into Myntra URLs, or product ids into Product ids.
3. Optional: add Brands, Gender, Colours, Sizes, price and discount limits, and an Order.
4. Set Maximum products. The default is 1,000; the prefill is 30 so that a first test is quick and cheap.
5. Press Start. The first rows appear within seconds; the status line shows progress and, at the end, a sentence explaining how the run ended.
6. Open the Output or Storage tab, choose a view (Overview, Sizes, stock & seller, Content & offers), and export JSON, CSV, Excel, XML or HTML.

Quick start through the API

Start a run and wait for it (replace YOUR_TOKEN):

curl -s -X POST "https://api.apify.com/v2/acts/logiover~myntra-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["men tshirts"],"maxResults":50}'

Node.js with the official client:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('logiover/myntra-scraper').call({
    searchQueries: ['women kurta sets'],
    minDiscount: 40,
    maxResults: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0].name, items[0].price, items[0].discountPercent);

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/myntra-scraper").call(run_input={
    "brands": ["Roadster"], "genders": ["men"], "maxResults": 200,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["productId"], item["name"], item["price"], item["mrp"])

The run's key-value store holds a SUMMARY record with the outcome, counts, timings and per-request statistics.

Input reference

Every field is optional; if you give nothing, the Actor collects "men tshirts". The table is generated from the Actor's input schema, so it always matches the Input tab.

Field	Type	Default	What it does
searchQueries — Search words	array	["men tshirts"]	What to look for on Myntra, exactly as you would type it in the search box: "men tshirts", "women kurta sets", "nike running shoes", "saree", "lehenga", "kids school bag". Category names such as "men-jeans" work too. One search per line.
startUrls — Myntra URLs (optional)	array	—	Paste myntra.com category or search pages (for example https://www.myntra.com/men-tshirts?f=Brand%3ARoadster), brand store pages (https://www.myntra.com/shop/...) or product pages (.../buy). The filters in the link (brand, colour, size, price, discount, sort) are applied. Product links return that one product.
productIds — Product ids (optional)	array	—	Myntra product ids (the number before /buy in a product link, e.g. 12027436) or full product links. Every id returns one row with the full product page data: sizes with stock, seller, description, specifications.
brands — Brands	array	—	Only products of these brands, e.g. Roadster, HRX by Hrithik Roshan, Nike, Levis, Libas. Spelling and case are matched to Myntra's brand list. With no search words, every brand is collected on its own.
genders — Gender	array	—	Only these target groups: men, women, boys, girls (lower case, as in Myntra's Gender filter). Leave empty for all. Some category pages are already limited to one group.
colours — Colours	array	—	Only these colours, named as in Myntra's Colour filter: Black, White, Navy Blue, Red, Maroon, Olive, Pink, Grey Melange...
sizes — Sizes	array	—	Only products offered in one of these sizes, written as in Myntra's Size filter: S, M, L, XL, 3XL, 28, 30, UK 8, 2-3Y...
minPrice — Minimum price (INR)	integer	—	Lowest selling price in rupees.
maxPrice — Maximum price (INR)	integer	—	Highest selling price in rupees (included).
minDiscount — Minimum discount (%)	integer	—	Only products discounted by at least this many percent off MRP (Myntra's "50% and above" filter).
minRating — Minimum rating	number	—	Only products rated at least this value (Myntra's "Rated 4.0+" filter). Unrated products are excluded when set.
sortBy — Order	string	relevance	Order of the results when fewer products are requested than exist. Recommended is Myntra's default ranking.
includeDetails — Include sizes with stock, seller, description and specifications	boolean	True	Open every product page for per-size availability and stock, seller name and address, description, material and care, specifications, return and exchange policy, rating split and the current price. Switch off for a faster list-only export (about 6 times faster).
splitLargeSearches — Go beyond 599 per search	boolean	True	Myntra shows at most 599 products for one set of filters. When more are requested, the Actor splits the search by brand, colour, gender, price band and discount band to reach the rest.
maxResults — Maximum products	integer	1000	Stop after this many products (across all searches). You are charged per product saved.
maxConcurrency — Parallel sessions	integer	20	Number of parallel browser-like sessions (each uses its own proxy address). 20 reads about 1,000 products with full details in a minute or two; lower it if you share a proxy plan.
proxyConfiguration — Proxy	object	{"useApifyProxy": true}	Apify datacenter proxy works and is the default. If Myntra refuses these addresses, the Actor falls back to a small amount of Indian residential traffic by itself.

How the inputs combine. Search words, links, brands-only searches and product ids can be used together. All filters (brands, gender, colours, sizes, prices, discount, rating, order) apply to every search word and every link; filters written inside a pasted link (f= and rf= in the address) are kept and the fields above are added on top. With no search words, each brand in Brands is searched on its own, restricted to exactly that brand. The budget in Maximum products is shared fairly: with four search words and 2,000 products, each search first gets 500, and what a small search leaves unused goes to the others.

Spelling of filter values. Write them as you would on the site; the Actor looks the words up in Myntra's own filter lists and uses Myntra's spelling: h&m becomes H&M, navy blue becomes Navy Blue, UK 6 becomes UK6, Women becomes women. Values it cannot find are passed through as typed (so a brand that Myntra spells unusually still works if you type it exactly).

Price and discount semantics. Myntra's range filters are half-open on the upper end; the Actor adds one rupee to your Maximum price so the maximum is included. Minimum discount and Minimum rating mirror Myntra's own "50% and above" and "Rated 4.0+" filters.

Data dictionary

One row per product. Fill rate means the share of rows with a non-empty value in the 12,000-product proof run of 29 Oct 2026 (men's t-shirts, full details on). Columns marked listing only or product page only depend on the Include sizes with stock, seller, description and specifications switch; with the switch on, the product-page columns are filled for every product Myntra still serves.

Column	Type	Meaning	Fill rate	Example
productId	number	Identity. Myntra style id (productId). Unique per product and colourway; the key used for de-duplication.	100 %	42281182
url	string	Identity. Absolute product page URL on myntra.com.	100 %	"https://www.myntra.com/Tshirts/Imsa+Moda/Imsa-Moda-Men-Henley-Neck...
name	string	Identity. Full product name as Myntra prints it (brand + descriptive title).	100 %	"Imsa Moda Men Henley Neck T-shirt"
brand	string	Identity. Brand name, spelled as in Myntra's Brand filter.	100 %	"Imsa Moda"
gender	string	Identity. Target group: Men, Women, Boys, Girls or Unisex.	100 %	"Men"
category	string	Identity. Article type, e.g. Tshirts, Kurtas, Casual Shoes, Watches.	100 %	"Tshirts"
subCategory	string	Identity. Sub-category, e.g. Topwear, Bottomwear, Shoes.	100 %	"Topwear"
masterCategory	string	Identity. Master category: Apparel, Footwear, Accessories, Personal Care...	100 %	"Apparel"
descriptor	string	Identity. Short style descriptor from the listing (for example "Solid Lounge T-shirt"). Listing data only. (listing only)	100 %	"Men Henley Neck T-shirt"
price	number	Price. Current selling price in rupees. With product pages on it is the price the product page shows; otherwise the listing price.	100 %	283
mrp	number	Price. Maximum retail price in rupees (the struck-through price).	100 %	1999
discountPercent	number	Price. Discount off MRP in percent, rounded like Myntra's "(52% OFF)" label.	100 %	86
discountAmount	number	Price. MRP minus price, in rupees.	100 %	1716
currency	string	Price. Always INR.	100 %	"INR"
couponCode	string	Price. Coupon code the listing advertises next to the price (listing data; empty when no coupon is shown). (listing only)	88.4 %	"MYNTRAHALFPRICE"
couponDiscount	number	Price. Rupees the advertised coupon takes off. (listing only)	88.4 %	142
priceWithCoupon	number	Price. The "Best Price" Myntra shows with the coupon applied. (listing only)	88.4 %	141
couponValidUntil	string	Price. ISO 8601 end of the coupon campaign. (listing only)	88.4 %	"2026-11-30T18:29:00.000Z"
rating	number	Ratings. Average customer rating, 1 to 5 (null while the product has no ratings).	56.7 %	4.27
ratingCount	number	Ratings. Number of ratings.	100 %	14292
reviewCount	number	Ratings. Number of written reviews (product page only). (product page only)	75.8 %	3025
ratingDistribution	object	Ratings. Ratings per star, e.g. {"5": 23101, "4": 7172, ...} (product page only). (product page only)	56.7 %	{"1": 1056, "2": 436, "3": 1033, "4": 2820, "5": 8947}
colour	string	Variants. Base colour of this product.	100 %	"Cream"
colourVariants	array	Variants. Other colourways of the same style: productId, colour name, url, hex, imageUrl (names and links come from the product page).	100 %	[{"productId": 42122809, "colour": "Black", "hex": null, "url": "ht...
sizes	array	Variants. Size labels, e.g. ["S","M","L","XL"] or ["UK 7","UK 8"]. With product pages on: every size the style is made in.	100 %	["S", "M", "L", "XL", "XXL"]
sizeOptions	array	Variants. Per size: size, skuId, available, inventory units, lowest price, sellers and garment measurements (product page only). (product page only)	100 %	[{"size": "S", "skuId": 135036664, "available": true, "inventory": ...
inStock	boolean	Variants. True when at least one size can be bought (product page only). (product page only)	100 %	true
imageUrl	string	Media. Main product picture (https).	100 %	"https://assets.myntassets.com/assets/images/2026/MAY/18/eZLXgFYu_3...
images	array	Media. All product pictures (https URLs).	100 %	["https://assets.myntassets.com/assets/images/2026/MAY/18/eZLXgFYu_...
videoUrls	array	Media. Product video files when the listing carries them. (listing only)	3.1 %	["https://videos.myntassets.com/assets/videos/2025/9/22/f8356b70-2d...
brandLogoUrl	string	Media. Brand logo picture when the listing carries one. (listing only)	30.2 %	"https://assets.myntassets.com/assets/images/2020/7/7/8d2db9db-e27c...
sellerId	number	Seller. Seller partner id of the default (buy-button) seller.	100 %	22684
sellerName	string	Seller. Name of the default seller as shown on the product page ("Sold by"). (product page only)	100 %	"Shalimar Clothing"
sellerCity	string	Seller. City of the default seller. (product page only)	100 %	"Delhi"
sellerState	string	Seller. State of the default seller. (product page only)	100 %	"DELHI"
sellers	array	Seller. Every seller offering the style: sellerId, name, legalName, address, city, state, pincode. (product page only)	100 %	[{"sellerId": 22684, "name": "Shalimar Clothing", "legalName": "Sha...
manufacturer	string	Seller. Manufacturer / packer name and address printed on the product page (legal metrology). (product page only)	99.3 %	"Shalimar Clothings& B-31 Zakir Nagar New Delhi-110025"
countryOfOrigin	string	Seller. Country of origin. (product page only)	100 %	"India"
description	string	Content. Product description as plain text. (product page only)	100 %	"- Cream-coloured Tshirt for Men\n- Self Design\n- Regular length\n...
sizeAndFit	string	Content. Size and fit note (for example the model's height and worn size). (product page only)	99.7 %	"Regular Fit\nThe model (height 6') is wearing a size M"
materialAndCare	string	Content. Material and care instructions as plain text. (product page only)	100 %	"Hand Wash"
styleNote	string	Content. Style note / "Complete the look" text. (product page only)	19 %	"Designed by the team at Levis, you're definitely in for a style tr...
attributes	object	Content. Specifications such as Fabric, Neck, Pattern, Sleeve Length, Fit, Occasion (names depend on the category). (product page only)	100 %	{"Add-Ons": "NA", "Body or Garment Size": "Garment Measurements in"...
isReturnable	boolean	Policies. Whether Myntra accepts returns for the style. (product page only)	100 %	true
isExchangeable	boolean	Policies. Whether exchanges are accepted. (product page only)	100 %	true
returnDays	number	Policies. Return window in days. (product page only)	100 %	7
codAvailable	boolean	Policies. Whether pay on delivery is offered for the style. (product page only)	100 %	true
tryAndBuy	boolean	Policies. Whether the style is part of Myntra's try-and-buy programme. (product page only)	100 %	false
offers	array	Tags. Offer texts printed on the product page. (product page only)	98.3 %	["EMI option available"]
tags	array	Tags. Merchandising badges such as "Bestseller", "Deal of the Day", "Just Launched".	83.4 %	["Seen on Insta", "Deal of the Day", "Diwali Price Drop", "Crazy De...
season	string	Catalogue. Season of the collection (Summer, Winter, Fall, Spring).	98.8 %	"summer"
year	number	Catalogue. Year of the collection.	98.8 %	2026
listedAt	string	Catalogue. ISO 8601 catalogue date of the style.	100 %	"2026-05-18T17:17:55.000Z"
query	string	Run. The search words, URL or id list this row was collected for.	100 %	"men tshirts"
detailsFetched	boolean	Run. True when the product page was read for this row.	100 %	true
scrapedAt	string	Run. ISO 8601 time the row was collected.	100 %	"2026-10-29T10:33:53.840Z"

Notes on a few columns:

• price is the price the product page shows (the buy-button seller's price for the first size sold). In list-only mode it is the listing price; on the 14 products compared by hand both were identical.
• discountPercent is (mrp - price) / mrp, rounded to a whole percent. Myntra sometimes prints a rupee amount instead of a percent, or rounds down, so its label can differ by one point.
• rating is empty while a product has no ratings; ratingCount is then 0.
• sizes for shoes are Myntra's UK sizes without the prefix ("6", "7", "8"); in the filter you can write UK6 or UK 6.
• sizeOptions[].inventory is the live unit count Myntra's product page holds for that size, summed over sellers; sellers inside each size says which seller holds how many and at what price.
• sellerState and sellerCity are copied as the seller registered them ("DELHI" and "Delhi" both occur).
• tags are merchandising badges, offers are the offer lines of the product page (for example "EMI option available"). Both are conditional.
• listedAt is Myntra's catalogue date of the style, not a launch announcement.

Real output sample

A real row from the proof run of 29 Oct 2026 (trimmed lists are marked with ...):

{
  "productId": 42281182,
  "url": "https://www.myntra.com/Tshirts/Imsa+Moda/Imsa-Moda-Men-Henley-Neck-T-shirt/42281182/buy",
  "name": "Imsa Moda Men Henley Neck T-shirt",
  "brand": "Imsa Moda",
  "gender": "Men",
  "category": "Tshirts",
  "subCategory": "Topwear",
  "masterCategory": "Apparel",
  "descriptor": "Men Henley Neck T-shirt",
  "price": 283,
  "mrp": 1999,
  "discountPercent": 86,
  "discountAmount": 1716,
  "currency": "INR",
  "couponCode": "MYNTRAHALFPRICE",
  "couponDiscount": 142,
  "priceWithCoupon": 141,
  "couponValidUntil": "2026-11-30T18:29:00.000Z",
  "rating": 4.27,
  "ratingCount": 14292,
  "reviewCount": 3025,
  "ratingDistribution": {
    "1": 1056,
    "2": 436,
    "3": 1033,
    "4": 2820,
    "5": 8947
  },
  "colour": "Cream",
  "colourVariants": [
    {
      "productId": 42122809,
      "colour": "Black",
      "hex": null,
      "url": "https://www.myntra.com/Tshirts/Imsa+Moda/Imsa-Moda-Men-Henley-Neck-T-shirt/42122809/buy",
      "imageUrl": "https://assets.myntassets.com/assets/images/2026/MAY/13/54zGGFC0_9146ac915af8477bb0a7e5d621f212db.jpg"
    },
    {
      "productId": 42122810,
      "colour": "Off White",
      "hex": null,
      "url": "https://www.myntra.com/Tshirts/Imsa+Moda/Imsa-Moda-Men-Henley-Neck-T-shirt/42122810/buy",
      "imageUrl": "https://assets.myntassets.com/assets/images/2026/MAY/13/0jUrSw8w_6bdcfc6059a242138c7ceb4bc0caa785.jpg"
    },
    "..."
  ],
  "sizes": [
    "S",
    "M",
    "L",
    "XL",
    "XXL"
  ],
  "sizeOptions": [
    {
      "size": "S",
      "skuId": 135036664,
      "available": true,
      "inventory": 19331,
      "price": 283,
      "mrp": 1999,
      "sellers": [
        {
          "sellerId": 22684,
          "sellerName": "Shalimar Clothing",
          "inventory": 19331,
          "price": 283,
          "mrp": 1999
        }
      ],
      "measurements": {
        "Chest": "36.0in",
        "Front Length": "26.0in"
      }
    },
    {
      "size": "M",
      "skuId": 135036668,
      "available": true,
      "inventory": 18451,
      "price": 283,
      "mrp": 1999,
      "sellers": [
        {
          "sellerId": 22684,
          "sellerName": "Shalimar Clothing",
          "inventory": 18451,
          "price": 283,
          "mrp": 1999
        }
      ],
      "measurements": {
        "Chest": "38.0in",
        "Front Length": "27.0in"
      }
    },
    "..."
  ],
  "inStock": true,
  "imageUrl": "https://assets.myntassets.com/assets/images/2026/MAY/18/eZLXgFYu_3c5cda53fd8c4cbb88c7c32729c69966.jpg",
  "images": [
    "https://assets.myntassets.com/assets/images/2026/MAY/18/eZLXgFYu_3c5cda53fd8c4cbb88c7c32729c69966.jpg",
    "https://assets.myntassets.com/assets/images/2026/MAY/18/PK8B4Hso_424be107bba3478dbfe3c1e1b5c3f4af.jpg",
    "https://assets.myntassets.com/assets/images/2026/MAY/18/U2eCruZp_787aa32754c145b6b8558512cd8cf9ee.jpg"
  ],
  "videoUrls": null,
  "brandLogoUrl": null,
  "sellerId": 22684,
  "sellerName": "Shalimar Clothing",
  "sellerCity": "Delhi",
  "sellerState": "DELHI",
  "sellers": [
    {
      "sellerId": 22684,
      "name": "Shalimar Clothing",
      "legalName": "Shalimar Clothing",
      "address": "A-137, Shaheen Bagh, Okhla, New Delhi, 2nd FloorShaheen BaghDelhi , DELHI - 110025",
      "city": "Delhi",
      "state": "DELHI",
      "pincode": "110025"
    }
  ],
  "manufacturer": "Shalimar Clothings& B-31 Zakir Nagar New Delhi-110025",
  "countryOfOrigin": "India",
  "description": "- Cream-coloured Tshirt for Men\n- Self Design\n- Regular length\n- Henley Neck\n- Long, Regular Sleeves\n- Cotton fabric\n- Button closure",
  "sizeAndFit": "Regular Fit\nThe model (height 6') is wearing a size M",
  "materialAndCare": "Hand Wash",
  "styleNote": null,
  "attributes": {
    "Add-Ons": "NA",
    "Body or Garment Size": "Garment Measurements in",
    "Care for me": "NA",
    "Character": "NA",
    "Closure": "Button",
    "Fabrics": "Cotton",
    "Fashion Trends": "New Basics",
    "Fit": "Regular Fit",
    "Length": "Regular",
    "Multipack Set": "Single",
    "Neck": "Henley Neck",
    "Net Quantity": "1",
    "Net Quantity Unit": "Piece",
    "Number of Items": "1",
    "Number of Pockets": "NA",
    "Occasions": "Casual",
    "Package Contains": "1 Tshirt",
    "Pattern Coverage": "All-Over",
    "Patterns": "Self Design",
    "Players": "NA",
    "Print or Pattern Types": "Self Design",
    "Sleeve Length": "Long Sleeves",
    "Sleeve Styling": "Regular Sleeves",
    "Sport": "NA",
    "Sport Team": "NA",
    "Technology": "NA",
    "Wash Care": "Hand Wash"
  },
  "isReturnable": true,
  "isExchangeable": true,
  "returnDays": 7,
  "codAvailable": true,
  "tryAndBuy": false,
  "offers": [
    "EMI option available"
  ],
  "tags": [
    "Seen on Insta",
    "Deal of the Day",
    "Diwali Price Drop",
    "Crazy Deal",
    "Reviews with Images",
    "Reviews with Videos",
    "..."
  ],
  "season": "summer",
  "year": 2026,
  "listedAt": "2026-05-18T17:17:55.000Z",
  "query": "men tshirts",
  "detailsFetched": true,
  "scrapedAt": "2026-10-29T10:33:53.840Z"
}

CSV columns in the export, in order: productId, url, name, brand, gender, category, subCategory, masterCategory, descriptor, price, mrp, discountPercent, discountAmount, currency, couponCode, couponDiscount, priceWithCoupon, couponValidUntil, rating, ratingCount, reviewCount, ratingDistribution, colour, colourVariants, sizes, sizeOptions, inStock, imageUrl, images, videoUrls, brandLogoUrl, sellerId, sellerName, sellerCity, sellerState, sellers, manufacturer, countryOfOrigin, description, sizeAndFit, materialAndCare, styleNote, attributes, isReturnable, isExchangeable, returnDays, codAvailable, tryAndBuy, offers, tags, season, year, listedAt, query, detailsFetched, scrapedAt. Lists and objects are written as JSON text inside the cell.

How deep and how fast: measurements

All numbers below were measured on the Apify platform on 29 Oct 2026 with the default proxy, 1 GB of memory and 20 parallel sessions.

Test	Result
Prefill run (30 products, full details)	10 s from start to finish; first row after 2.2 s
1,000 products with full details, "men tshirts"	40 s
1,000 products with full details, "women kurta sets"	40 s
Proof run: 12,000 unique products, "men tshirts", full details	466 s (7.8 min), 26 products per second, 0 duplicates, status SUCCEEDED
Hand check against Myntra's own product pages	14 products, 304 of 308 field comparisons identical

Build note. The proof ran on build 1.0.3. Builds 1.0.4 and 1.0.5 changed only this README, the spelling lookup for filter values (brand, colour, size, gender), the threshold for the residential fallback and the wording of the time-limit status; the code that reads, splits and maps products is identical.

The hand check. For 14 products picked at random from two earlier runs (men's t-shirts and women's kurta sets) the product page of myntra.com was fetched separately and compared field by field: name, brand, MRP, price (also as printed on the page), rating and count, category, gender, colour, size labels, which sizes are available, units in stock per size, seller names, default seller, manufacturer, country of origin, return days and the number of pictures. Of 308 comparisons, 304 were identical. The rest were live changes or notation: three stock counts that moved by 1 to 4 units in the minutes between the run and the check (Myntra sells while you read), and one product where the page prints a rupee amount ("Rs. 3710 OFF") instead of a percent.

Why a plain scraper stops early, and what this one does. Myntra shows at most 599 products for one set of filters: the search answers pages up to offset 499 with at most 100 products each and refuses everything beyond (HTTP 400). "men tshirts" has 433,787 products on 29 Oct 2026 and "women kurta sets" has 277,878, so a page loop would end after 599 rows. The Actor reads the filter lists that come with every answer, which carry exact counts, and cuts the search into slices of at most about 540 products: by brand (small brands are packed together into one OR filter), colour, gender, article type, country of origin, then price bands and discount bands, and as a last resort the same slice in six different sort orders. Rows are de-duplicated by productId, because the site's total drifts by a few dozen between calls. The measured result is above: 12,000 different products from one search word.

What limits the speed. Each run opens up to 20 browser-like sessions. A session needs one home-page visit to receive the cookies the JSON gateway insists on (about 100 KB); after that one session answered 40 consecutive 100-product pages in a test without a refusal. A product page costs about 7 KB on the wire and answers in about half a second, so with details on, the proof run averaged 26 products per second; list-only runs are several times faster.

About the proxy. Myntra answers the platform's own address with a "Site Maintenance" page and refuses a large share of datacenter addresses the same way (measured on the day: between 36 and 85 percent of new datacenter sessions, varying with the moment). The Actor treats that as normal: a refused address costs under 500 bytes and is replaced at once. Only if sixty openings in a row fail does it switch to Indian residential traffic, and it returns to datacenter addresses as soon as they answer again.

What you pay

You pay per result: one result is one product row saved to the dataset. Rates per 1,000 results depend on your Apify plan:

Plan tier	Per 1,000 results	1,000 results	10,000 results	100,000 results
Free	$2.00	$2.00	$20.00	$200.00
Bronze	$1.77	$1.77	$17.70	$177.00
Silver	$1.53	$1.53	$15.30	$153.00
Gold, Platinum, Diamond	$1.30	$1.30	$13.00	$130.00

There is no start fee and no extra charge for product pages: a product with sizes, stock, seller and specifications costs the same as a list-only row. Duplicates are skipped before a row is saved, so one product id is never charged twice within a run.

Maximum cost per run. In the Run options you can set a dollar ceiling. The Actor reads it before it starts, never plans more products than the ceiling pays for, stops cleanly when it is reached and says so in the status line ("Saved N products - this run's maximum cost per run covers N results"). Combined with Maximum products you always know the most a run can cost. Test runs with a handful of results are practically free.

Integrations

Apify Console and API. Every run has a dataset URL such as https://api.apify.com/v2/datasets/<id>/items?format=csv&clean=true. Replace format with json, xlsx, xml, html or rss. Add &fields=productId,name,brand,price,mrp,discountPercent to export only the columns you need, or &view=overview for the Overview view.

curl, Node.js, Python. See the quick-start chapters; the same run-sync-get-dataset-items endpoint returns rows directly for small runs, while big runs are best started with POST /v2/acts/logiover~myntra-scraper/runs and read when finished.

Make (Integromat). Use the Apify module "Run an Actor", pick this Actor, paste the input JSON, then "Get dataset items" and iterate: every row can feed a Google Sheets, Airtable, Slack or e-mail module.

Zapier. "Run Actor" action followed by "Get Dataset Items"; trigger it from a schedule ("Every Day") and append rows to a sheet or a database.

n8n. The Apify node runs the Actor and returns the dataset; a Function node can compare price with yesterday's value and send an alert when discountPercent crosses a limit.

Google Sheets. Use the Apify integration "Export to Google Sheets" on the run's Integrations tab, or a Make/Zapier scenario. Keep productId as the key column and update prices with a lookup.

Airtable and Notion. Import the CSV export or push rows through Make; productId is the unique key, url the link field, imageUrl an attachment URL.

Webhooks. Add a webhook on ACTOR.RUN.SUCCEEDED to call your own endpoint with the run id; read the dataset from there. The SUMMARY record in the key-value store tells you whether the run was complete or partial.

Schedules. In Apify Schedules choose "Every day at 06:00 IST" with the input of your price-watch list. Because the dataset keeps scrapedAt, appending runs to one table gives a price history.

MCP and AI agents. Apify's MCP server exposes Actors as tools; add logiover/myntra-scraper and an agent can answer "show black cotton kurtas under 800 rupees with 4+ stars" by running the Actor with searchQueries, colours, maxPrice, minRating. Keep maxResults small for interactive use.

Data warehouses. Load the JSON or CSV into BigQuery, Snowflake, Postgres or ClickHouse; flatten sizeOptions into a child table keyed by productId and size for stock analytics.

Performance tips

• Match the switch to the job. Pure price monitoring of thousands of products does not need product pages: set Include sizes with stock... off and the run is about six times faster. Stock, seller, specifications and the exact current price need it on.
• Raise parallel sessions for big list-only runs (up to 30); keep 20 when details are on.
• Filter on the site's side. Brand, gender, colour, size, price band and minimum discount are applied by Myntra, so you pay only for matching rows and the Actor does not have to split a huge search.
• Give narrower searches. "men slim fit jeans" returns fewer than 599 products and needs no splitting; "jeans" returns hundreds of thousands and is cut into slices.
• Use product ids for watch lists. A list of ids is one product-page call each, with no search at all: ideal for a daily price-and-stock watch.
• Sort when you take less than everything. With maxResults below the search size, Order decides which products you get: "What's new", "Better discount", "Price, low to high".
• Schedule at the same hour. Prices move during sales; a daily run at a fixed time makes the history comparable.
• Keep the default proxy. Datacenter addresses work and cost the least; the Actor calls in residential traffic only when they are refused completely.

Troubleshooting and status messages

A run always ends with a status message that starts with its outcome. The same text is in the SUMMARY record.

Status message	Meaning and what to do
COMPLETED: Saved N products.	Everything requested was collected.
COMPLETED: Saved N products - this is everything Myntra exposes for these settings (the requested M could not be reached).	The search has fewer products than Maximum products, even after splitting. Widen the words or filters.
COMPLETED: Saved N products; K of them are listed by Myntra but their product page is gone ...	Myntra listed products whose page no longer opens (removed between listing and page). Those rows carry listing data only (detailsFetched is false).
PARTIAL: Saved N products; the run reached its time limit before M were collected.	The run hit its timeout. Start again with a smaller Maximum products, list-only mode, or a longer timeout.
PARTIAL: Saved N products; K product page(s) could not be read ...	Some product pages failed after retries; those rows have list data only. Run again for the missing ids.
PARTIAL: Saved N products before an error stopped the run: ...	An unexpected error after rows were saved. The saved rows are valid.
EMPTY_RESULT: Myntra answered but no product matched these words and filters ...	The site answered with zero products. Check spelling, relax brand, size, price, discount or rating filters.
MAX_COST: Saved N products - this run's maximum cost per run covers N results ...	The ceiling you set was reached; raise Max cost per run to collect more. (Shown as a normal finish.)
BLOCKED: No products collected: no Myntra page could be fetched ...	Every address, including the residential fallback, was refused. The run fails. Try again later or set the proxy to Residential, country India.
FETCH_FAILED: No products collected and some requests failed ...	Requests failed and an empty result cannot be confirmed. The run fails; retry.
INVALID_INPUT: None of the inputs is a Myntra search, listing or product ...	The links were not myntra.com pages. Use search words, myntra.com links, or product ids.

Other things you may see:

• Few rows although the site shows many. The site's total is the size of the whole search; the run is limited by Maximum products (default 1,000).
• A brand returns zero. Check the spelling against the site's Brand filter, or search the brand name as a search word instead.
• Two rows with the same name. Each colourway has its own product id and its own row.
• Prices differ from the app. Myntra shows personalised coupons and bank offers in the app; this Actor reports the public price and the generic coupon the listing advertises.

Honest limits

• India storefront only. The Actor reads myntra.com as an anonymous visitor; it does not select a delivery pincode, so delivery dates and pincode-specific serviceability are not collected.
• No review text. Rating, rating count, review count and the star distribution are collected; the written reviews are not.
• No login-only data. Wishlists, carts, order history, personalised coupons and member prices need an account and are out of scope.
• Stock counts are snapshots. sizeOptions[].inventory is what the product page holds at the moment of the request and changes as people buy.
• 599 per slice. One filter set shows at most 599 products; deeper results come from splitting. Splitting by brand, colour and price band reaches very large parts of a category, but a run cannot promise the whole catalogue of a search with hundreds of thousands of products; it promises the number of unique products you ask for (proven above for 12,000).
• Colourways are separate products. The same shirt in five colours is five rows.
• Prices change. Myntra reprices during sales; a row is the state at scrapedAt.
• Pictures are links. Image files are not downloaded.
• Datacenter addresses are refused at random by the site; the Actor works around it, which is why start-up takes a few seconds.

Compared with the other ways to get Myntra data

Way	Good for	Trade-offs
This Actor	Search- and brand-wide exports, price and stock watching, 10,000+ rows, scheduled runs, API and no-code integrations	Pay per row; public data only; India storefront
Copy and paste from the site	A handful of products	Hours of work for hundreds; no stock counts; no history
A generic browser-extension scraper	One listing page at a time	Stops at the visible page, no splitting beyond the site's limit, no per-size stock, runs on your laptop
Myntra's seller or affiliate feeds	Your own listings, or approved partners	Needs a contract; not available for competitor research
Writing your own script	Full control	You must solve the cookie bootstrap, the 599-row limit, the refused-address problem and the splitting yourself, and maintain it when the site changes

FAQ

Is there an official Myntra API?

Myntra offers partner and seller integrations, but no public product-data API for researchers. This Actor reads the same JSON the myntra.com pages load and returns it as a clean dataset, which makes it a practical Myntra API alternative.

How do I scrape Myntra without login?

Nothing to do: the Actor never logs in. It opens the home page like a visitor, receives the cookies, and calls the same product and search JSON the website uses.

How many products can I scrape from Myntra in one run?

The proof run collected 12,000 unique products from one search word on 29 Oct 2026 in 7.8 minutes. The ceiling is your Maximum products setting and, for pay-per-result, your Max cost per run.

Why does Myntra's own search stop at a few hundred products?

Myntra shows at most 599 products for one set of filters. The Actor gets past it by slicing the search by brand, colour, gender, price band and discount band, then merging and de-duplicating the slices.

How do I export Myntra products to Excel or CSV?

Run the Actor, open the dataset and choose Excel or CSV in the export menu, or add ?format=xlsx or ?format=csv to the dataset URL.

How do I track Myntra prices every day?

Put your product ids in Product ids, schedule the Actor daily and append the results. Each row has price, mrp, discountPercent and scrapedAt.

Can I get the size availability of a product?

Yes. With product pages on, sizeOptions lists every size with available, the units in stock, the lowest price and the sellers offering it. inStock and sizes summarise it.

Can I see who the seller is?

Yes: sellerName, sellerCity, sellerState for the default seller and sellers with the registered legal name and address of every seller, as printed on the product page.

How do I get all products of one brand?

Put the brand in Brands with no search words, or add it to a search word. "Roadster" returns the brand's whole catalogue, split automatically beyond 599 products.

Can I scrape a Myntra category link?

Yes. Paste links like https://www.myntra.com/men-jeans or a filtered link into Myntra URLs. The filters in the link (f= brand, colour, gender; rf= price and discount ranges; sort=) are applied.

Can I scrape by product id or product link?

Yes. Put ids or full product links into Product ids. Every id gives one row from the product page.

What does "Include sizes with stock, seller, description and specifications" do?

It opens every product page. Off: only listing data (price, MRP, discount, rating, sizes list, colours, images, badges, coupon). On: stock per size, sellers and addresses, description, material and care, specifications, return and exchange policy, rating split, and the current price.

Why is price lower than mrp?

mrp is the maximum retail price printed on the product; price is what Myntra sells it for now. discountPercent and discountAmount give the difference.

How is discountPercent calculated?

(mrp - price) / mrp rounded to a whole number. Myntra's own label can round down or print a rupee amount, so it may differ by one point.

Why are some rating values empty?

New products have no ratings yet. rating is then empty and ratingCount is 0. In the proof run the rating column was filled for 56.7 percent of men's t-shirts.

Why do I get fewer rows than I asked for?

Either the search has fewer products (the status message says so), the time limit was reached (PARTIAL), or the Max cost per run was reached (MAX_COST).

Can I filter by size?

Yes, in Sizes: S, M, L, XL, 3XL, 28, 30, UK6, UK 7, 2-3Y. The Actor matches your spelling to Myntra's filter list.

Can I filter by price range?

Yes: Minimum price and Maximum price in rupees. The maximum is included.

Can I get only discounted products?

Set Minimum discount, for example 50 for "50% and above". Sort by "Better discount" to see the deepest cuts first.

Can I get the newest arrivals?

Choose Order: What's new. listedAt and the "Just Launched" badge in tags help you check.

Do you support Hindi search words?

Yes. Myntra understands Hindi and Hinglish queries such as "लहंगा"; the recipe above returned thousands of matches. Fields stay in the language Myntra uses (English).

Does it work for other countries?

Only myntra.com (India). Prices are in rupees.

Is it legal to scrape Myntra?

The Actor reads public pages that any visitor can open. What you may do with the data depends on your country, the site's terms and what you collect; see the legality chapter. Product data contains no personal data except business seller names and addresses printed on the product page.

Does it use residential proxies?

Not by default. It starts with Apify datacenter addresses and switches to Indian residential traffic only if the datacenter route is refused completely, then switches back.

How fast is it?

Prefill: 10 seconds for 30 products with full details. 1,000 products with details: about 40 seconds. Proof run: 26 products per second over 7.8 minutes.

What if Myntra blocks the run?

Refused addresses are replaced within a second. If everything is refused, the status is BLOCKED and the run fails, so you are not charged for nothing.

Does it download images?

No, it returns picture links (imageUrl, images). Download them with your own tool if you need the files.

Can I get reviews?

Not the review texts. You get rating, ratingCount, reviewCount and ratingDistribution.

What is the difference between productId values of the same shirt in different colours?

Myntra gives each colourway its own style id. colourVariants lists the sibling ids so you can group them.

How do I avoid paying for duplicates?

You never do: rows are de-duplicated by productId inside a run before they are saved.

How do I stay under a budget?

Set Maximum products and Max cost per run. The Actor plans only what the ceiling pays for and finishes cleanly.

Can I run it from Python or Node.js?

Yes, see the quick-start chapters. The Apify client libraries start the run, wait and iterate the dataset.

Can I use it in Make, Zapier or n8n?

Yes, through the Apify modules; see the integrations chapter.

Does it keep or share my data?

The Actor stores nothing outside your run's dataset and key-value store. You own the results.

What does "Site Maintenance" in the log mean?

It is what myntra.com answers to addresses it dislikes. The Actor counts it as a refused address and uses another one; you only see it in the SUMMARY statistics.

How does the Actor treat products that were removed after listing?

The row is kept with listing data and detailsFetched false, and the status message tells you how many.

Can I search by brand and size at the same time?

Yes. Filters combine: for example brand "Puma", colour "navy blue", gender "women" and size "UK 6" returned only matching shoes in a test.

Glossary

• Myntra — India's largest online fashion marketplace (myntra.com), part of the Flipkart group.
• Style id / product id (productId) — Myntra's number for one product in one colour; the number before /buy in a product link.
• MRP — maximum retail price (अधिकतम खुदरा मूल्य), the struck-through price printed on the product.
• Discount / छूट — the reduction from MRP; discountPercent and discountAmount.
• Article type — Myntra's product type such as Tshirts, Kurtas, Casual Shoes (category).
• Kurta, kurti, saree (साड़ी), lehenga (लहंगा), dupatta — Indian garments; search words work in English or Hindi.
• Colourway — the same style in another colour; separate product id.
• SKU — one size of one product (sizeOptions[].skuId).
• Seller (विक्रेता) — the company that sells the product on Myntra; its legal name and address are printed on the page.
• COD — cash on delivery (codAvailable).
• Facet — a filter list (Brand, Colour, Size...) with counts that the site returns with every search.
• EORS — "End of Reason Sale", Myntra's big sale event; sale badges appear in tags.
• DPDP Act 2023 — India's Digital Personal Data Protection Act.

Legality and responsibility

The Actor collects information that Myntra shows to every visitor without an account: product names, prices, ratings, stock, and the business names and registered addresses of sellers that the product page prints for legal-metrology and consumer-protection reasons. It does not log in, bypass a login or collect shopper data (no reviewer names, no customer accounts).

You are responsible for how you use the data. Check Myntra's terms of use for your case, respect copyright on pictures and descriptions, and do not republish them as your own. If your data set contains personal data, for example an individual seller's name, handle it under the rules that apply to you: the Digital Personal Data Protection Act, 2023 in India, the GDPR in the EU/UK, or local law. Keep request volumes reasonable; the default settings are tuned to be gentle and the Actor stops by itself when the site refuses. This section is information, not legal advice.

Changelog

• 1.0 (29 Oct 2026) — First release: search words, Myntra links with filters, brands, product ids; filters for brand, gender, colour, size, price, discount, rating and order; product-page details with per-size stock and seller addresses; automatic splitting beyond Myntra's 599-products-per-search limit; maximum-cost guard; SUMMARY record with outcome and statistics.

Support

Questions, a missing field or a feature wish? Open an issue from the Actor page or write through the Apify Console; we reply within 24 hours. When you report a problem, include the run id and the SUMMARY record, which already contains the statistics we need.