# Flipkart Review Scraper (`easyapi/flipkart-review-scraper`) Actor

Scrape detailed product reviews from Flipkart, including ratings, comments, user info, helpful votes, and product attributes. Perfect for market research, sentiment analysis, and customer feedback monitoring.

- **URL**: https://apify.com/easyapi/flipkart-review-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** E-commerce, Lead generation, Integrations
- **Stats:** 167 total users, 6 monthly users, 93.8% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **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 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

## Flipkart Review Scraper 📱

Extract detailed product reviews from Flipkart product pages. This actor helps you gather valuable customer feedback, ratings, and insights from India's largest e-commerce platform.

### Features ✨

- Scrape reviews from any Flipkart product page
- Extract comprehensive review data including:
  - Review text and ratings
  - Author information and location
  - Verified purchase status
  - Helpful votes count
  - Review dates
  - Product attributes
  - Attached images
  - Up/down votes
- Handle pagination automatically
- Export data in structured JSON format
- Respect rate limits and use proxy support

### Use Cases 🎯

- Market Research: Analyze customer sentiment and feedback
- Product Development: Gather insights for product improvements
- Competitive Analysis: Monitor competitor product reviews
- Customer Support: Track customer satisfaction and issues
- Marketing: Identify product strengths and selling points

### Input Parameters 📝

The actor accepts the following input parameters:

- `reviewUrls`: Array of Flipkart product review page URLs to scrape
- `maxItems`: Maximum number of reviews to collect
- `proxyConfiguration`: Optional proxy settings for better success rate

### Output Format 📊

The actor outputs detailed review data in JSON format, including:

- Review ID and content
- Author information
- Rating and title
- Creation date
- Verified purchase status
- Location data
- Product attributes
- Image URLs
- Vote counts
- Timestamp of scraping

### Tips for Usage 💡

1. Start with a small `maxItems` value to test the setup
2. Use proxy configuration for better reliability
3. Respect Flipkart's terms of service and rate limits
4. Consider running during off-peak hours for better performance

### Limitations ⚠️

- Respects Flipkart's rate limiting and robots.txt
- Some reviews might be unavailable due to platform restrictions
- Image URLs require parameter substitution for actual use

### Support 🤝

For any questions or issues, please reach out through Apify's platform.

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "reviewUrls": [
        "https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART"
    ],
    "maxItems": 50
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "reviewUrl": "https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART",
        "id": "0da9ac3d-41d6-4908-8fa2-63f2cb018649",
        "author": "Flipkart Customer",
        "rating": 4,
        "title": "Very Good",
        "text": "Love it ❤️🥰",
        "created": "Oct, 2022",
        "certifiedBuyer": true,
        "helpfulCount": 490,
        "location": {
            "city": "Saran District",
            "state": "Bihar"
        },
        "productAttributes": [
            {
                "name": "Dial Color",
                "value": "BLACK"
            },
            {
                "name": "Strap Color",
                "value": "BLACK"
            }
        ],
        "images": [
            {
                "imageId": "blobio-imr_a27dd31f986d4bd7929055a3671e44f7.jpg",
                "imageURL": "https://rukminim1.flixcart.com/blobio/%7B@width%7D/%7B@height%7D/imr/blobio-imr_a27dd31f986d4bd7929055a3671e44f7.jpg?q={@quality}"
            }
        ],
        "verifiedPurchase": true,
        "votes": {
            "upvotes": 490,
            "downvotes": 166
        },
        "scrapedAt": "2025-02-12T05:29:56.044Z"
    },
    ...
]
```

### Related Actors

- 🛍️ [Flipkart Product Scraper](https://apify.com/easyapi/flipkart-product-scraper) - Extract product data from Flipkart search results with comprehensive details for market research
- 🛍️ [Myntra Reviews Scraper](https://apify.com/easyapi/myntra-reviews-scraper) - Extract detailed review data from Myntra.com for market research and sentiment analysis
- 🛍️ [Myntra Product Scraper](https://apify.com/easyapi/myntra-product-scraper) - Get comprehensive product data from Myntra's fashion marketplace
- 🛍️ [Meesho Reviews Scraper](https://apify.com/easyapi/meesho-reviews-scraper) - Extract detailed product reviews from Meesho.com with ratings and user information
- 🛍️ [Meesho Product Scraper](https://apify.com/easyapi/meesho-product-detail-scraper) - Scrape detailed product information from Meesho.com marketplace
- 🏥 [Netmeds Product Scraper](https://apify.com/easyapi/netmeds-product-scraper) - Extract detailed product information from India's leading online pharmacy
- 🛍️ [AJIO Product Scraper](https://apify.com/easyapi/ajio-product-scraper) - Get comprehensive data from AJIO's fashion marketplace
- 🛍️ [Noon.com Reviews Scraper](https://apify.com/easyapi/noon-com-reviews-scraper) - Extract detailed customer feedback and ratings from Noon.com
- 🍽️ [Zomato Restaurant Reviews Scraper](https://apify.com/easyapi/zomato-restaurant-reviews-scraper) - Scrape restaurant reviews with detailed ratings and user information
- 🛍️ [Amazon Reviews Scraper](https://apify.com/easyapi/amazon-reviews-scraper) - Extract comprehensive review data from Amazon product pages
- 🛍️ [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Scrape detailed review data from Etsy product pages
- 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Extract detailed hotel reviews and ratings from Hotels.com
- 📚 [Udemy Course Reviews Scraper](https://apify.com/easyapi/udemy-course-reviews-scraper) - Scrape course reviews with ratings and user information
- 🛍️ [Gumroad Reviews Scraper](https://apify.com/easyapi/gumroad-reviews-scraper) - Extract product reviews and customer feedback from Gumroad pages
- 🏠 [Houzz Product Reviews Scraper](https://apify.com/easyapi/houzz-product-reviews-scraper) - Scrape detailed review data from Houzz.com products

# Actor input Schema

## `reviewUrls` (type: `array`):

List of Flipkart product review page URLs to scrape

## `maxItems` (type: `integer`):

Maximum number of reviews to collect per URL

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

Proxy settings for the crawler

## Actor input object example

```json
{
  "reviewUrls": [
    "https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART"
  ],
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "reviewUrls": [
        "https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART"
    ],
    "maxItems": 20
};

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

# Prepare the Actor input
run_input = {
    "reviewUrls": ["https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/flipkart-review-scraper").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 '{
  "reviewUrls": [
    "https://www.flipkart.com/selloria-kids-g-sport-look-band-shock-chronograph-resistance-digital-watch-boys/product-reviews/itmefbaa2361193f?pid=WATFURH7GWFX32G3&lid=LSTWATFURH7GWFX32G3WO73JV&marketplace=FLIPKART"
  ],
  "maxItems": 20
}' |
apify call easyapi/flipkart-review-scraper --silent --output-dataset

```

## MCP server setup

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

```

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/w7yQWRHc11veIVo8b/builds/VnNxLGascr5KoLsMw/openapi.json