# Flipkart Reviews (`ikmal_suzali_atr/flipkart-reviews`) Actor

Flipkart customer reviews by FSN or URL — rating summary with histogram, then every review page by page (10 per page): author, rating, title, text, relative date, helpful votes, certified-buyer flag, reviewer city and state, variant bought and review images. Sort by most helpful, latest, positive or

- **URL**: https://apify.com/ikmal\_suzali\_atr/flipkart-reviews.md
- **Developed by:** [AtTheRate AI](https://apify.com/ikmal_suzali_atr) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Flipkart Reviews

Pulls Flipkart customer reviews for any FSN or product URL: a rating summary with the full 1 to 5 histogram, then every review page in order. Each review carries the author, star rating, title, body text, helpful votes, the certified-buyer flag, the reviewer's city and state, the variant bought and any uploaded photos. Built for voice-of-customer work on India's largest marketplace.

### What you get

- A summary row per product with `average_rating`, `rating_count`, `review_count` and `histogram_1_to_5`.
- Full review text, not a snippet: `title` and `text` exactly as published.
- Trust signals on every review: `certified_buyer`, `helpful_count` and `downvotes`, plus reviewer geography in `city` and `state`.
- The `variant` reviewed, which is how you separate complaints about one size or colour from the rest.
- Review photos in `images` at full resolution, and four orderings: most helpful, latest, positive first or negative first, plus a certified-buyers-only switch.

### Input

`products` is required. Everything else shapes how many reviews and in what order.

```json
{
  "products": ["PSLGFSY3FKSMGZVZ"],
  "maxPages": 3,
  "sort": "MOST_HELPFUL",
  "certifiedOnly": false,
  "concurrency": 2,
  "delayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}
```

- `products`: Flipkart FSNs or product URLs.
- `maxPages`: review pages per product, 1 to 200, at 10 reviews each.
- `sort`: `MOST_HELPFUL`, `MOST_RECENT`, `POSITIVE_FIRST` or `NEGATIVE_FIRST`.
- `certifiedOnly`: restrict to verified purchases.
- `proxyConfiguration`: residential country IN is the default. `concurrency` runs 1 to 4 products in parallel.

### Output

Two kinds of row, told apart by `row_type`. The first row per product is the `summary`; the rest are `review` rows. A one-page run returns 11 rows, a two-page run 21.

```json
{
  "row_type": "review",
  "fsn": "PSLGFSY3FKSMGZVZ",
  "product_title": "MUSCLEBLAZE Biozyme Performance Whey Protein",
  "page": 1,
  "position": 1,
  "author": "Flipkart Customer",
  "rating": 5,
  "title": "Terrific purchase",
  "text": "Mixes well, no lumps, and the chocolate flavour is not too sweet.",
  "created": "3 months ago",
  "helpful_count": 214,
  "certified_buyer": true,
  "city": "Pune",
  "state": "Maharashtra",
  "variant": "Flavour: Rich Chocolate, Weight: 1 kg",
  "images": [],
  "fetched_at": "2026-09-11T08:57:51.443Z"
}
```

The `summary` row carries `average_rating`, `rating_count`, `review_count` and `histogram_1_to_5` instead of the per-review fields. `created` is Flipkart's own relative wording, not an absolute date, and `images` is empty for text-only reviews.

### Use cases

- Voice-of-customer mining: cluster `text` by theme, weight by `helpful_count`, and detect defects by grouping 1 and 2 star reviews on `variant`.
- Regional sentiment analysis using `city` and `state` against `rating`.
- Review-velocity and rating drift from the `summary` row's `review_count` and `histogram_1_to_5`.
- Authenticity screening by comparing `certified_buyer` rates against a competitor's.

### Notes and limits

- 10 reviews per page. `maxPages` accepts 1 to 200, so up to 2,000 reviews per product per run.
- A product with no reviews still emits its `summary` row, verified on an invented FSN that returned exactly one row and zero reviews.
- Paging stops early when Flipkart reports no further pages. `created` is relative wording, so convert it against `fetched_at` if you need real dates.
- These rows carry no sponsored or ad flag. `concurrency` is capped at 4 products in parallel.

### FAQ

**Do I need a proxy?** A residential proxy in India is recommended and is the default. The review pages are served without one at low volume.

**How many results can I get?** Up to 200 pages of 10 reviews per product, so 2,000 reviews, plus a summary row. There is no cap on how many products you submit.

**Does it need login or an API key?** No Flipkart account, cookie or key is required.

**How do I get only genuine buyers?** Set `certifiedOnly` to true and Flipkart returns only verified purchases. Every row still carries `certified_buyer`, so you can audit the filter.

# Actor input Schema

## `products` (type: `array`):

Flipkart FSNs or product URLs.

## `maxPages` (type: `integer`):

10 reviews per page.

## `sort` (type: `string`):

Review ordering.

## `certifiedOnly` (type: `boolean`):

Only reviews from verified purchases.

## `concurrency` (type: `integer`):

1–4.

## `delayMs` (type: `integer`):

Pause between review pages.

## `proxyConfiguration` (type: `object`):

On the Apify platform this decides egress; a residential proxy in India is recommended. On our own servers it is ignored and our residential proxy is used.

## Actor input object example

```json
{
  "products": [
    "PSLGFSY3FKSMGZVZ"
  ],
  "maxPages": 3,
  "sort": "MOST_HELPFUL",
  "certifiedOnly": false,
  "concurrency": 2,
  "delayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

One row per review.

## `summary` (type: `string`):

Counts for the run: what was requested, captured, skipped and failed.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "products": [
        "PSLGFSY3FKSMGZVZ"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ikmal_suzali_atr/flipkart-reviews").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "products": ["PSLGFSY3FKSMGZVZ"] }

# Run the Actor and wait for it to finish
run = client.actor("ikmal_suzali_atr/flipkart-reviews").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "products": [
    "PSLGFSY3FKSMGZVZ"
  ]
}' |
apify call ikmal_suzali_atr/flipkart-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ikmal_suzali_atr/flipkart-reviews"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Q1aYf7ZkSU5g8DtyL/builds/KTE5bzK7if0fA3Kg8/openapi.json