Myntra Fashion Catalog Finder by Category & Brand: MCP config, n8n workflow and API

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

---
name: myntra-fashion-catalog-finder-by-category
description: "Myntra products with prices, discounts, coupons, ratings, sellers, per-size stock, specifications, policies, media, and optional written-review rows. Runs the Apify Actor dataspryva/myntra-fashion-catalog-finder-by-category. Use when the user needs Myntra data with fields such as recordType, productName, brand, price, mrp, discountPercent and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "dataspryva/myntra-fashion-catalog-finder-by-category"
  store-url: "https://apify.com/dataspryva/myntra-fashion-catalog-finder-by-category"
---

# Myntra Fashion Catalog Finder by Category & Brand

Use this skill to fetch Myntra data with the Apify Actor `dataspryva/myntra-fashion-catalog-finder-by-category` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `mode` | one of `search`, `browseByCategory`, `browseByBrand`, `byUrl`, `byProductIds` | What to fetch. Each mode has its own input list below. |
| `searchQueries` | array | 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 | One or more category listings (mode=browseByCategory). |
| `brands` | array | One or more brands to browse (mode=browseByBrand), e.g. `nike`, `levis`, `tommy hilfiger`. Spaces and punctuation are normalized automatically. |
| `startUrls` | array | 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 | Numeric Myntra product IDs or product URLs (mode=byProductIds), e.g. `36674095`. |
| `gender` | one of `men`, `women`, `boys`, `girls` | Restrict listing results to one gender segment. Applied on Myntra's side. |
| `sortBy` | one of `new`, `popularity`, `price_asc`, `price_desc`, `discount`, `customer_rating` | How Myntra orders listing results. |
| `minPrice` | integer | Only products whose selling price is at least this amount. 0 means no minimum. |
| `maxPrice` | integer | Only products whose selling price is at most this amount. 0 means no maximum. |
| `minDiscount` | integer | Only products discounted by at least this percentage. 0 means no minimum. |
| `minRating` | number | Only products rated at least this value (0-5). Products without a rating are excluded when this is above 0. |
| `containsKeyword` | string | Only products whose name contains this keyword (case-insensitive). Leave empty for all products. |
| `includeDetails` | boolean | 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. |

Example `input.json` (the Actor's published prefill):

```json
{
  "mode": "search",
  "searchQueries": [
    "tshirts"
  ],
  "minPrice": 0,
  "maxPrice": 0,
  "minDiscount": 0,
  "minRating": 0,
  "includeDetails": true,
  "includeReviews": false,
  "maxReviewsPerProduct": 1,
  "maxItems": 2,
  "splitLargeSearches": false
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/dataspryva~myntra-fashion-catalog-finder-by-category/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/dataspryva~myntra-fashion-catalog-finder-by-category/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `recordType`, `productName`, `brand`, `price`, `mrp`, `discountPercent`, `couponCode`, `rating`, `sellerName`, `inStock`, `category`, `productUrl`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.