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Myntra Product Scraper: how to get the data as JSON/CSV (API, Python, no code)

Scrape Myntra category and search listing pages into product rows: product ID, name, brand, price, MRP, discount percent, rating, sizes, category, image, and product URL. This guide shows the output fields, a working input, and Python, JavaScript and cURL code for the Actor v0iddo/myntra-product-scraper on Apify.

Open Myntra Product Scraper on Apify

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

FieldLabelTypeExample
productIdProduct IDtext46877313
nameNametextLAZYCHUNKS Unisex Henley Neck T-shirt
brandBrandtextLAZYCHUNKS
pricePrice INRnumber697
mrpMRP INRnumber1099
discountPercentDiscount %number37
ratingRatingnumber3.5
ratingCountRating Countnumber12
sizesSizestextS,M,L,XL,XXL,3XL
categoryCategorytextTshirts
imageImageimage URLhttp://assets.myntassets.com/assets/images/2026/OCTOBER/3/b350552f6...
urlProduct URLURLhttps://www.myntra.com/tshirts/lazychunks/lazychunks-unisex-henley-...
gendertextUnisex
colortextBlack
additionalInfotextLazyChunks Henley F/S T-shirt

Input example

This is the input that is pre-filled on the Actor page. Change the values for your own run.

{
  "categoryUrls": [
    "https://www.myntra.com/men-tshirts"
  ],
  "maxPages": 1,
  "maxItems": 20
}
Input fieldTypeWhat it does
categoryUrls (required)arrayMyntra category or search listing pages (e.g.
maxPagesintegerHow many listing pages (about 30-40 products each) to read per URL.
maxItemsintegerThe run stops after this many result rows.

Output sample

Real rows from a run of the Actor. Fields that name people are left out of the sample.

[
  {
    "productId": "46877313",
    "name": "LAZYCHUNKS Unisex Henley Neck T-shirt",
    "brand": "LAZYCHUNKS",
    "price": 697,
    "mrp": 1099,
    "discountPercent": 37,
    "rating": 3.5,
    "ratingCount": 12,
    "sizes": "S,M,L,XL,XXL,3XL",
    "category": "Tshirts",
    "gender": "Unisex",
    "color": "Black",
    "additionalInfo": "LazyChunks Henley F/S T-shirt",
    "image": "http://assets.myntassets.com/assets/images/2026/OCTOBER/3/b350552f6cd84328871d14352449b889.jpg",
    "url": "https://www.myntra.com/tshirts/lazychunks/lazychunks-unisex-henley-neck-t-shirt/46877313/buy"
  },
  {
    "productId": "36674095",
    "name": "Puma Unisex TRAIN ALL DAY Essentials Slim Fit dryCELL Polo Sports T-shirt",
    "brand": "Puma",
    "price": 779,
    "mrp": 1499,
    "discountPercent": 48,
    "rating": 4.5,
    "ratingCount": 1135,
    "sizes": "XXS,XS,S,M,L,XL,XXL,3XL",
    "category": "Tshirts",
    "gender": "Unisex",
    "color": "Navy Blue",
    "additionalInfo": "Unisex Polo Training T-shirt",
    "image": "http://assets.myntassets.com/assets/images/2025/SEPTEMBER/5/K2LJrBsO_9aae96f530b44065b7bf9af39058882a.jpg",
    "url": "https://www.myntra.com/tshirts/puma/puma-unisex-train-all-day-essentials-slim-fit-drycell-polo-sports-t-shirt/36674095/buy"
  }
]

Code: Python, JavaScript and cURL

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/myntra-product-scraper.

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {'categoryUrls': ['https://www.myntra.com/men-tshirts'],
 'maxPages': 1,
 'maxItems': 20}

run = client.actor("v0iddo/myntra-product-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
  "categoryUrls": [
    "https://www.myntra.com/men-tshirts"
  ],
  "maxPages": 1,
  "maxItems": 20
};

const run = await client.actor('v0iddo/myntra-product-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~myntra-product-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"categoryUrls": ["https://www.myntra.com/men-tshirts"], "maxPages": 1, "maxItems": 20}'

Price

$1.00 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.70 per 1,000. See the pricing tab for your plan. A new Apify account gets $5 of platform credit every month.

Good to know

FAQ

What data does the Myntra Product Scraper return?

Each result is one row in an Apify dataset. Fields include productId, name, brand, price, mrp, discountPercent, rating, ratingCount, and more. The table above shows every field with an example value.

How do I use the Myntra Product Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/myntra-product-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$1.00 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.70 per 1,000. A new Apify account gets $5 of platform credit every month.

How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Can I send the results to Google Sheets, Make, Zapier or n8n?

Yes. Apify datasets connect to Google Sheets, Slack, Make, Zapier and n8n, and a webhook can call your own service when a run finishes. You can also export the dataset as JSON, CSV or Excel.

Open Myntra Product Scraper on Apify

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