# Myntra Listings Scraper (`piotrv1001/myntra-listings-scraper`) Actor The Myntra Listings Scraper extracts products from Myntra.com categories and search results, capturing names, brands, prices, discounts, ratings, images, and optional full details like descriptions, size availability, and sellers — ideal for price monitoring and fashion market research. - **URL**: https://apify.com/piotrv1001/myntra-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 product listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🚀 Myntra Scraper Easily extract **product data from Myntra.com**, India's largest fashion e-commerce platform. The **Myntra Scraper** lets you gather structured product data from any category, search query, or filtered listing — perfect for **price monitoring, competitor analysis, fashion trend research, and dropshipping**. ### ✨ Features - 🏷️ **Comprehensive product data**: name, brand, price, MRP, discount, rating, review count, sizes, images, and product URL. - 🔍 **Search & category support**: scrape by keywords (e.g. `nike running shoes`) or paste any Myntra category/search URL — filters and sorting in the URL are respected. - 📦 **Optional deep product details**: flip one switch to also get the full description, all product images, size-level stock availability, seller name, country of origin, and detailed attributes. - 🚀 **Fast & scalable**: fetches up to 100 products per request and automatically splits large categories into smaller slices, so even categories with 300,000+ products can be scraped. - 💰 **Transparent pay-per-result pricing**: you pay only for the products you get — no charge for starting the Actor. ### 🛠️ How It Works 1. **Enter a category URL or search keywords** – e.g. `https://www.myntra.com/men-tshirts` or `nike running shoes`. 2. **Set the maximum number of products** – the default is 50. 3. **(Optional) Enable product details** – to fetch the full description, images, and size availability for every product. 4. **Run the scraper** – and download the results as JSON, CSV, Excel, or HTML. ### ⚙️ Input | Field | Type | Description | | --- | --- | --- | | `startUrls` | array | Myntra category or search result URLs (filters in the URL are respected) | | `searchQueries` | array | Keywords to search for, e.g. `nike running shoes` | | `maxItems` | integer | Maximum number of products to scrape (default: 50) | | `scrapeDetails` | boolean | Also fetch full product details for every result (default: false) | | `proxyConfiguration` | object | Proxy settings — residential proxies are recommended | ```json { "startUrls": [{ "url": "https://www.myntra.com/men-tshirts" }], "searchQueries": ["nike running shoes"], "maxItems": 50, "scrapeDetails": false } ```` ### 📊 Sample Output Data The scraper provides structured JSON output with key product details. Example (with `scrapeDetails: true`): ```json { "productId": 40504439, "name": "Nike Quest 5 Women's Road Running Shoes", "brand": "Nike", "price": 3148, "mrp": 6295, "discount": "(50% OFF)", "currency": "INR", "rating": 4.08, "ratingCount": 13, "category": "Sports Shoes", "gender": "Women", "primaryColour": "Black", "sizes": ["3", "4", "5", "6", "7", "8", "9"], "image": "http://assets.myntassets.com/assets/images/2026/MARCH/6/mva1ihVW_2f650a667e3f402193ca0b0fc01cab14.jpg", "url": "https://www.myntra.com/Sports-Shoes/Nike/Nike-Quest-5-Womens-Road-Running-Shoes/40504439/buy", "description": "You lace up in pursuit of new personal goals. Let the Nike Quest 5 help you reach those aspirations...", "materialAndCare": "Upper material: Mesh Outer material: PU Wipe with a clean, dry cloth to remove the dust", "articleType": "Sports Shoes", "masterCategory": "Footwear", "baseColour": "Black", "countryOfOrigin": "Vietnam", "seller": "Nike India Private Limited", "images": [ "https://assets.myntassets.com/v1/assets/images/2026/MARCH/6/mva1ihVW_2f650a667e3f402193ca0b0fc01cab14.jpg", "https://assets.myntassets.com/v1/assets/images/2026/MARCH/6/Ef4noiX8_20988dc989a3498aa03fc114e4eb17ab.jpg" ], "sizesDetail": [ { "size": "3", "available": true, "skuId": 129607057 }, { "size": "4", "available": true, "skuId": 129607058 } ], "articleAttributes": { "Ankle Height": "Regular", "Cushioning": "Medium", "Fastening": "Lace-Ups", "Materials": "Mesh" } } ``` The fields `description`, `materialAndCare`, `seller`, `countryOfOrigin`, `images`, `sizesDetail`, and `articleAttributes` are only included when **Scrape product details** is enabled. ### 💰 How much does it cost to scrape Myntra? You pay per product scraped — nothing for starting the Actor: | Event | Price | What you get | | --- | --- | --- | | Product listing | **$1.00 / 1,000 products** | Name, brand, price, discount, rating, image, URL | | Product detail | **$4.00 / 1,000 products** | Everything above + description, all images, size-level stock, seller, attributes | For example, scraping 10,000 products from a category costs **$10**, or **$40** with full product details. ### 💡 Tips - **Use category URLs with filters** — apply brand, price, or discount filters on Myntra first, then paste the filtered URL to scrape exactly what you need. - **Keep `scrapeDetails` off** when you only need prices and ratings — it's 4× cheaper and much faster. - **Large categories work fine** — the scraper automatically splits categories with hundreds of thousands of products into price slices and walks through them. - **Set `maxItems`** to control your costs precisely; the scraper stops as soon as the limit is reached. ### ❓ FAQ **Is it legal to scrape Myntra?** This scraper only collects publicly available product data. Always review Myntra's Terms of Service and consult a legal professional regarding your specific use case. **Can I schedule runs or connect the data to my own systems?** Yes — the Apify platform lets you schedule runs, set up integrations (Google Sheets, webhooks, Make, Zapier), and access all results via API. **Something not working?** Open an issue in the **Issues** tab of the Actor and we'll take a look. Custom solutions are available on request. Optimize your fashion market research with **Myntra Scraper** today! 🚀 # Actor input Schema ## `startUrls` (type: `array`): Myntra category or search result URLs to scrape, e.g. `https://www.myntra.com/men-tshirts`. Filters and sorting in the URL are respected. ## `searchQueries` (type: `array`): Keywords to search for on Myntra, e.g. `nike running shoes`. Used in addition to Start URLs. ## `maxItems` (type: `integer`): Maximum number of products to scrape across all queries and URLs. ## `scrapeDetails` (type: `boolean`): Also fetch each product's detail page to get the description, all images, size availability, and product attributes. Slower and costs more per product. ## `proxyConfiguration` (type: `object`): Proxies to use for scraping. Residential proxies are required for reliable results. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.myntra.com/men-tshirts" } ], "searchQueries": [], "maxItems": 50, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.myntra.com/men-tshirts" } ], "searchQueries": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/myntra-listings-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.myntra.com/men-tshirts" }], "searchQueries": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/myntra-listings-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.myntra.com/men-tshirts" } ], "searchQueries": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call piotrv1001/myntra-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/myntra-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Myntra Listings Scraper", "description": "The Myntra Listings Scraper extracts products from Myntra.com categories and search results, capturing names, brands, prices, discounts, ratings, images, and optional full details like descriptions, size availability, and sellers — ideal for price monitoring and fashion market research.", "version": "0.0", "x-build-id": "SFjSXUkrXgesYJQH3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~myntra-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-myntra-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~myntra-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-myntra-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~myntra-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-myntra-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Myntra category or search result URLs to scrape, e.g. `https://www.myntra.com/men-tshirts`. Filters and sorting in the URL are respected.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search for on Myntra, e.g. `nike running shoes`. Used in addition to Start URLs.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of products to scrape across all queries and URLs.", "default": 50 }, "scrapeDetails": { "title": "Scrape product details", "type": "boolean", "description": "Also fetch each product's detail page to get the description, all images, size availability, and product attributes. Slower and costs more per product.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxies to use for scraping. Residential proxies are required for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```