# Flipkart iPhone 15 Reviews: Ratings from Verified Buyers

**Use case:** 

Collect what verified buyers say about the Apple iPhone 15 on Flipkart for sentiment analysis, VOC research or competitor benchmarking; the listing pools reviews from every colour and storage variant. Each row is one review with star rating, sentiment label, title, text, author, location, date, helpful votes, review photo URLs, the variant bought and the review permalink.

## Input

```json
{
  "startUrls": [
    "https://www.flipkart.com/apple-iphone-15-green-256-gb/product-reviews/itmc24db2484dee9"
  ],
  "productIds": [],
  "startUrl": "",
  "maxReviewsPerProduct": 20,
  "resultsWanted": 20,
  "maxPages": 5,
  "sortBy": "MOST_HELPFUL",
  "certifiedBuyerOnly": true,
  "aspectId": "overall",
  "imageWidth": 1280,
  "imageHeight": 1280,
  "imageQuality": 100,
  "includeRawImages": true,
  "concurrency": 5,
  "pageConcurrency": 3,
  "maxRetries": 3,
  "requestDelay": 0,
  "requestTimeoutSecs": 20,
  "dedupeReviews": true,
  "includeProductSummary": true,
  "verboseLogging": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "product_name": {
    "label": "Product name",
    "format": "string"
  },
  "product_variant": {
    "label": "Product variant summary",
    "format": "string"
  },
  "rating": {
    "label": "Star rating",
    "format": "number"
  },
  "sentiment": {
    "label": "Sentiment",
    "format": "string"
  },
  "title": {
    "label": "Review title",
    "format": "string"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "author": {
    "label": "Author name",
    "format": "string"
  },
  "location": {
    "label": "Author location",
    "format": "string"
  },
  "date": {
    "label": "Review date (as shown)",
    "format": "string"
  },
  "certified_buyer": {
    "label": "Verified purchase",
    "format": "boolean"
  },
  "upvotes": {
    "label": "Helpful votes",
    "format": "number"
  },
  "review_image_count": {
    "label": "Review image count",
    "format": "number"
  },
  "url": {
    "label": "Review permalink",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Flipkart Reviews Scraper Actor is ready to run with the inputs already set for "Flipkart iPhone 15 Reviews: Ratings from Verified Buyers". [Sign up or log in](https://console.apify.com/create-task-from-example/xxNlqDxry1KltNWMM) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Flipkart iPhone 15 Reviews: Ratings from Verified Buyers" task

The Flipkart Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 flipkart product / review urls, 🆔 product ids (alternative to urls), and more, to match your specific use case.

### 3. Receive the "Flipkart iPhone 15 Reviews: Ratings from Verified Buyers" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product name, product variant summary, star rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Flipkart iPhone 15 Reviews: Ratings from Verified Buyers" task via API](https://apify.com/insights_data/flipkart-reviews-scraper.md).

## About this Actor

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


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).