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.

1{
2    "reviewUrls": [
3        "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"
4    ],
5    "maxItems": 50
6}

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.

1[
2    {
3        "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",
4        "id": "0da9ac3d-41d6-4908-8fa2-63f2cb018649",
5        "author": "Flipkart Customer",
6        "rating": 4,
7        "title": "Very Good",
8        "text": "Love it ❤️🥰",
9        "created": "Oct, 2022",
10        "certifiedBuyer": true,
11        "helpfulCount": 490,
12        "location": {
13            "city": "Saran District",
14            "state": "Bihar"
15        },
16        "productAttributes": [
17            {
18                "name": "Dial Color",
19                "value": "BLACK"
20            },
21            {
22                "name": "Strap Color",
23                "value": "BLACK"
24            }
25        ],
26        "images": [
27            {
28                "imageId": "blobio-imr_a27dd31f986d4bd7929055a3671e44f7.jpg",
29                "imageURL": "https://rukminim1.flixcart.com/blobio/{@width}/{@height}/imr/blobio-imr_a27dd31f986d4bd7929055a3671e44f7.jpg?q={@quality}"
30            }
31        ],
32        "verifiedPurchase": true,
33        "votes": {
34            "upvotes": 490,
35            "downvotes": 166
36        },
37        "scrapedAt": "2025-02-12T05:29:56.044Z"
38    },
39    ...
40]

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