# Scrape Flipkart sarees for fashion research

**Use case:** 

Scrape Flipkart sarees for fashion and catalog research. This task uses categories ["womens-sarees"] with maxItems 150 and returns name, brand, subtitle, price, MRP, discountPercent, rating, and images as JSON, CSV, or Excel. Useful for assortment and discount benchmarking. Pricing is $2.00 per 1,000 products scraped. Download results from the Dataset tab as soon as the run finishes.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc"
    }
  ],
  "categories": [
    "womens-sarees"
  ],
  "searchQueries": [
    "samsung tv"
  ],
  "maxItems": 150,
  "includeProductDetails": false,
  "includeReviews": false,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "image"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "brand": {
    "label": "Brand",
    "format": "text"
  },
  "subtitle": {
    "label": "Subtitle",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "productId": {
    "label": "Product ID",
    "format": "text"
  },
  "itemId": {
    "label": "Item ID",
    "format": "text"
  },
  "listingId": {
    "label": "Listing ID",
    "format": "text"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "mrp": {
    "label": "MRP",
    "format": "number"
  },
  "discountPercent": {
    "label": "Discount %",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "ratingCount": {
    "label": "Ratings",
    "format": "number"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "number"
  },
  "inStock": {
    "label": "In stock",
    "format": "boolean"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "subCategory": {
    "label": "Subcategory",
    "format": "text"
  },
  "sourceType": {
    "label": "Source",
    "format": "text"
  },
  "sourceQuery": {
    "label": "Query",
    "format": "text"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Flipkart Product Scraper](https://apify.com/rigelbytes/flipkart-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigelbytes/flipkart-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rigelbytes/flipkart-scraper.md

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).