Myntra Fashion Catalog Finder by Category & Brand

Search Myntra's fashion catalog by keyword, category, or brand, or fetch specific products, for MRP, price, discount, ratings, sizes, colors, and category detail.

Open in Apify Store$0.99 / 1K on Free

Short answer

Myntra Fashion Catalog Finder by Category & Brand is an Apify Store Actor for Myntra data that returns 12 published output fields, including productName, brand, price, mrp. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 19 input settings, none required. It covers 8 of the 8 core Myntra fields this site tracks. Last updated Nov 3, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Myntra EcommerceAutomationLead generation

What it returns

12 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • recordType
  • productName
  • brand
  • price
  • mrp
  • discountPercent
  • couponCode
  • rating
  • sellerName
  • inStock
  • category
  • productUrl

Input

SettingTypeRequiredDefaultWhat it does
mode string No search What to fetch. Each mode has its own input list below.
searchQueries array No [] One or more keyword searches (mode=search), e.g. `tshirts`, `printed kurtas`, `nike running shoes`. Each query is fetched separately and duplicates are removed.
categories array No [] One or more category listings (mode=browseByCategory).
brands array No [] One or more brands to browse (mode=browseByBrand), e.g. `nike`, `levis`, `tommy hilfiger`. Spaces and punctuation are normalized automatically.
startUrls array No [] Myntra listing, search, category, brand, or product URLs (mode=byUrl). Product URLs are fetched as products; everything else is fetched as a listing.
productIds array No [] Numeric Myntra product IDs or product URLs (mode=byProductIds), e.g. `36674095`.
gender string No – Restrict listing results to one gender segment. Applied on Myntra's side.
sortBy string No – How Myntra orders listing results.
minPrice integer No 0 Only products whose selling price is at least this amount. 0 means no minimum.
maxPrice integer No 0 Only products whose selling price is at most this amount. 0 means no maximum.
Show the other 9 settings
SettingTypeRequiredDefaultWhat it does
minDiscount integer No 0 Only products discounted by at least this percentage. 0 means no minimum.
minRating number No 0 Only products rated at least this value (0-5). Products without a rating are excluded when this is above 0.
containsKeyword string No – Only products whose name contains this keyword (case-insensitive). Leave empty for all products.
includeDetails boolean No true Open each product page to add sellers, addresses, per-size stock and measurements, specifications, rating breakdown, policies, videos, and tags. Slower but much richer. URL and product-ID modes always fetch details.
includeReviews boolean No false Emit one row per written review with recordType `review`, in addition to product rows.
maxReviewsPerProduct integer No 20 Review rows to fetch for each product when written reviews are enabled (1-2000).
maxItems integer No 100 Total product rows to save across all queries, categories, brands, and URLs (1-10000). Review rows are additional.
splitLargeSearches boolean No true Go past the per-filter result cap by fetching gender, price-band, and sort slices, then removing duplicates. Recommended for deep exports.
proxyConfiguration object No {} Optional override. Leave untouched and the actor selects a working connection automatically.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "searchQueries": [
    "tshirts"
  ],
  "categories": [],
  "brands": [],
  "startUrls": [],
  "productIds": [],
  "minPrice": 0,
  "maxPrice": 0,
  "minDiscount": 0,
  "minRating": 0,
  "includeDetails": true,
  "includeReviews": false,
  "maxReviewsPerProduct": 1,
  "maxItems": 2,
  "splitLargeSearches": false,
  "proxyConfiguration": {}
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQueries": [
        "tshirts"
    ],
    "categories": [],
    "brands": [],
    "startUrls": [],
    "productIds": [],
    "minPrice": 0,
    "maxPrice": 0,
    "minDiscount": 0,
    "minRating": 0,
    "includeDetails": True,
    "includeReviews": False,
    "maxReviewsPerProduct": 1,
    "maxItems": 2,
    "splitLargeSearches": False,
    "proxyConfiguration": {}
}

run = client.actor("dataspryva/myntra-fashion-catalog-finder-by-category").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQueries": [
        "tshirts"
    ],
    "categories": [],
    "brands": [],
    "startUrls": [],
    "productIds": [],
    "minPrice": 0,
    "maxPrice": 0,
    "minDiscount": 0,
    "minRating": 0,
    "includeDetails": true,
    "includeReviews": false,
    "maxReviewsPerProduct": 1,
    "maxItems": 2,
    "splitLargeSearches": false,
    "proxyConfiguration": {}
};

const run = await client.actor("dataspryva/myntra-fashion-catalog-finder-by-category").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/dataspryva~myntra-fashion-catalog-finder-by-category/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQueries":["tshirts"],"categories":[],"brands":[],"startUrls":[],"productIds":[],"minPrice":0,"maxPrice":0,"minDiscount":0,"minRating":0,"includeDetails":true,"includeReviews":false,"maxReviewsPerProduct":1,"maxItems":2,"splitLargeSearches":false,"proxyConfiguration":{}}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/myntra-fashion-catalog-finder-by-category",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Myntra routes

It ranks 1 of 1 catalogue Actors for Myntra on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

Route diagram for Myntra dataMyntra Fashion Catalog Finder by Category & Brand: stops at 6 of the 10 fields shown; Other Store tools (6): stops at 10 of the 10 fields shown; Myntra Developer Centre seller APIs: partner, field coverage not compared.Myntraproduct namebrandpricemrpdiscount perce…ratingurlimagesnamescrapedAt1+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: Myntra Developer Centre seller APIs

Partner only. Myntra's Developer Centre lists Omni and PPMP, Listing Management and B2B APIs that let sellers and Global Partner Program partners manage their own inventory, orders, returns and listings. There is no public catalogue API for general use.

No public self-serve price is published.

Official documentation

Other Store tools for Myntra

Reference only, from their public listings.

ToolFieldsPrice / 1K
Myntra Product Scraper15$0.99
Myntra Product Scraper43$3.00
Myntra Listings Scraper10$1.00
Myntra Scraper9$2.00
Myntra Product Scraper32$10.50

What people use it for

  • catalog research
  • price tracking
  • review analysis

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Questions people ask

How much does Myntra Fashion Catalog Finder by Category & Brand cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Myntra Fashion Catalog Finder by Category & Brand return?

Its published output schema lists 12 fields: recordType, productName, brand, price, mrp, discountPercent, couponCode, rating, sellerName, inStock, category, productUrl. A listed field is not guaranteed to be filled in every row.

What input does Myntra Fashion Catalog Finder by Category & Brand need?

No input is strictly required; the defaults run as is. Common settings: mode, searchQueries, categories, brands, startUrls, productIds.

How do I run Myntra Fashion Catalog Finder by Category & Brand from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/myntra-fashion-catalog-finder-by-category").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/myntra-fashion-catalog-finder-by-category").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~myntra-fashion-catalog-finder-by-category/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-03 Data synced 2026-11-12
Cite this page

Scraper Finder. "Myntra Fashion Catalog Finder by Category & Brand." https://scraperfinder.com/catalogue/myntra-fashion-catalog-finder-by-category/ (data checked 2026-11-12).

Run Myntra Fashion Catalog Finder by Category & Brand

$0.99 per 1,000 results. Paste the example input above, set your Myntra query, then export the dataset. Still choosing? Compare every Myntra route.

Open in Apify Store