Myntra Scraper

Collect structured fashion and lifestyle product data from Myntra product, search, filtered, brand and category URLs. Very high data coverage: up to 26 fields are available for each product.

Issues and feature requests

If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com.

For custom requirements, you can also reach out to us by filling this form.

Output Example (simplified)

The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them.

Image	Product URL	Product ID	Product name	Current price	Regular price	Currency	In stock	Brand	Seller	Scraped at
	https://www.myntra.com/tshirts/roadster/roadster-men-white--pure-cotton-t-shirt/2275365/buy	2275365	Roadster Men White Pure Cotton T-shirt	175	499	INR	true	Roadster	GARG ACRYLICS LTD.	2026-08-20T04:24:00.000Z

How to scrape supported list pages

This Actor accepts individual product links in productUrls. It accepts category pages, search result pages, filtered result pages, and brand pages in categoryUrls.

1. Open a supported list page in your browser.
2. Choose a category, run a search, apply the filters, and open a brand page you need.
3. Copy the final URL from the address bar and paste it into categoryUrls.

The Actor follows the products shown on that page.

Add one or more List URLs to scrape. categoryUrls is labelled List URLs in the Console and accepts category pages, search result pages, filtered result pages, and brand pages.

Scrape Myntra Search Pages

Pass a search results URL and the Actor collects the products that match your query. Example: https://www.myntra.com/tshirts?rawQuery=tshirts

Scrape Myntra Filtered Result Pages

Pass a results URL with filters applied and the Actor collects only the filtered products. Example: https://www.myntra.com/women-ethnic-bottomwear?f=categories%3AChuridar%2CLeggings%2CSalwar

Scrape Myntra Brand Pages

Pass a brand page URL and the Actor collects the products listed for that brand. Example: https://www.myntra.com/levis

Scrape Myntra Category Pages

Pass a category URL and the Actor collects every product listed in that category. Example: https://www.myntra.com/men-tshirts

The scrapeProductDetails option (labelled Include product details) decides what each List URL produces. When it is enabled, the Actor visits each product page and returns the full detail records; when it is disabled, the Actor returns one list-level record per product card with the fields that are always included.

Features

• Scrapes detailed fashion and lifestyle product information from Myntra product pages
• Accepts individual product URLs and category pages, search result pages, filtered result pages, and brand pages
• Lets you limit the number of saved products and choose whether to continue through additional result pages
• Returns structured prices and availability, size offers, product details and images, and ratings and sellers for viewing, export, and analysis

Pricing

This Actor uses pay-per-event pricing. Its running costs are included.

• Actor start: $0.02 once per run — One fixed charge for starting a run.
• Result: $0.00089 each ($0.89 per 1,000) — A product record collected directly from a supported list page.
• Product detail: $0.00199 each ($1.99 per 1,000) — A full product record collected from its product page.

The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both.

Apify's Free plan currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 5,595 Results or 2,502 Product details. Other Apify usage reduces the available credit.

Input

The Actor accepts the following input parameters:

What data you get in each mode

Every saved product is stored as one record. scrapeProductDetails decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information.

Result

A list-level product record with 16 declared fields:

url, product_id, name, brand, price, regular_price, currency, main_image, images, rating_value, rating_count, category, color, discount_percentage, canonical_url, scraped_at

Product detail

A full product record with 26 declared fields:

url, product_id, name, price, regular_price, currency, in_stock, sku, brand, category, main_image, images, description, description_html, color, material, attributes, rating_value, review_count, seller_name, variants, canonical_url, scraped_at, catalog_date, rating_count, discount_percentage

Output Example (full)

The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted.

{
  "url": "https://www.myntra.com/tshirts/roadster/roadster-men-white--pure-cotton-t-shirt/2275365/buy",
  "product_id": "2275365",
  "name": "Roadster Men White Pure Cotton T-shirt",
  "price": 175,
  "regular_price": 499,
  "currency": "INR",
  "in_stock": true,
  "sku": "2275365",
  "brand": "Roadster",
  "category": "Tshirts",
  "main_image": "https://assets.myntassets.com/assets/images/2275365/2022/11/22/a3af8a2f-a385-4cb7-bf7b-e34e0925fe0d1669105782439-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-1.jpg",
  "images": [
    "https://assets.myntassets.com/assets/images/2275365/2022/11/22/a3af8a2f-a385-4cb7-bf7b-e34e0925fe0d1669105782439-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-1.jpg",
    "https://assets.myntassets.com/assets/images/2275365/2022/11/22/03827a7f-2e32-45bd-9201-51b13d3142e11669105782414-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-2.jpg",
    "https://assets.myntassets.com/assets/images/2275365/2022/11/22/ef55fd5e-8ba8-432e-9105-137fde7311401669105782390-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-3.jpg",
    "https://assets.myntassets.com/assets/images/2275365/2022/11/22/94084024-e1a1-4916-a37c-4b635b35ecf61669105782361-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-4.jpg",
    "https://assets.myntassets.com/assets/images/2275365/2022/11/22/3e26079d-8ceb-46cd-a8f9-715fbbcc9f091669105782337-Roadster-Men-White--Pure-Cotton-T-shirt-7301669105781913-5.jpg"
  ],
  "description": "Product Details\nWhite solid T-shirt, has a round neck, short sleeves\n\nMATERIAL & CARE\n100% cotton\nMachine-wash\n\nSIZE & FIT\nThe model (height 6') is wearing a size XL\n\nStyle Note\nUpgrade your style when you take a page out of Roadster's book with this tee. When you're grabbing a quick meal with your friends, this white piece looks great with slimmer pants and chukka boot.",
  "description_html": "<h2>Product Details</h2><p>White solid T-shirt, has a round neck, short sleeves</p><h2>MATERIAL &amp; CARE</h2><p>100% cotton<br>Machine-wash</p><h2>SIZE &amp; FIT</h2><p>The model (height 6&#39;) is wearing a size XL</p><h2>Style Note</h2><p>Upgrade your style when you take a page out of Roadster&#39;s book with this tee. When you&#39;re grabbing a quick meal with your friends, this white piece looks great with slimmer pants and chukka boot.</p>",
  "color": "White",
  "material": "Pure Cotton",
  "attributes": {
    "Body or Garment Size": "Garment Measurements in",
    "Fabrics": "Pure Cotton",
    "Fashion Trends": "New Basics",
    "Fit": "Regular Fit",
    "Length": "Regular",
    "Multipack Set": "Single",
    "Neck": "Round Neck",
    "Occasions": "Casual",
    "Patterns": "Solid",
    "Print or Pattern Types": "Solid",
    "Sleeve Length": "Short Sleeves",
    "Sleeve Styling": "Regular Sleeves",
    "Sustainable": "Regular",
    "Wash Care": "Machine Wash",
    "Weave Type": "Knitted",
    "Country of Origin": "India",
    "Manufacturer": "GINNI FILAMENTS LTD.,D-196,SECTOR-63,Noida,Uttar pradesh,201301",
    "Seller ID": "21604"
  },
  "rating_value": 4.166273603323598,
  "review_count": 17129,
  "seller_name": "GARG ACRYLICS LTD.",
  "variants": [
    {
      "attributes": {
        "size": "XS"
      },
      "availability": "OutOfStock",
      "sku": "48000242"
    },
    {
      "attributes": {
        "size": "S"
      },
      "price": 244,
      "sku": "14825453"
    },
    {
      "attributes": {
        "size": "M"
      },
      "sku": "14825454"
    },
    {
      "attributes": {
        "size": "L"
      },
      "sku": "14825455"
    },
    {
      "attributes": {
        "size": "XL"
      },
      "sku": "14825456"
    },
    {
      "attributes": {
        "size": "XXL"
      },
      "sku": "44915064"
    },
    {
      "attributes": {
        "size": "4XL"
      },
      "sku": "48009572"
    }
  ],
  "canonical_url": "https://www.myntra.com/tshirts/roadster/roadster-men-white--pure-cotton-t-shirt/2275365/buy",
  "scraped_at": "2026-08-20T04:24:00.000Z",
  "catalog_date": "2018-02-02T11:07:54.000Z",
  "rating_count": 128054
}

Use Cases

• Track fashion prices and size availability
• Compare brands, sellers, and product ratings
• Build Indian fashion assortment datasets

You might also like

• Our other e-commerce scrapers
• Our other fashion store and resale scrapers
• AJIO Scraper
• Flipkart Scraper
• Farfetch Scraper

Integrate with AI and automation

Use with AI through MCP

Connect your AI assistant to the Apify MCP server. It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Myntra, compare prices, or summarize the collected data.

Run on a schedule

After one successful run, use Apify Schedules to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run.

Connect with n8n

Create an n8n account and add the verified Apify node to a workflow. Choose Run an Actor and Get Dataset when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the Apify integration for n8n.

Connect with Make

Create a Make account and add the Apify Run an Actor module. Follow it with Get Dataset Items to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use Watch Actor Runs followed by Get Dataset Items.

Read the Make integration guide.