Flipkart Reviews Scraper

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Flipkart Reviews Scraper

The Flipkart Reviews Scraper is an Apify Actor designed to extract detailed customer review data from product review pages. It efficiently collects structured insights including ratings, review text, sentiment fields, product metadata, and more for in-depth analysis or reporting.

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📥 Input Parameters

Field	Type	Description
urls	Array of Strings	List of Flipkart product review page URLs to scrape. Each URL must lead directly to a product reviews section.

Example Input:

{
  "urls": [
    "https://www.flipkart.com/adidas-glideease-m-running-shoes-men/product-reviews/itmc8340026ad1b5?pid=SHOGFFYSBN3YPDKE&lid=LSTSHOGFFYSBN3YPDKET1OC8D&aid=overall&certifiedBuyer=false&sortOrder=MOST_RECENT"
  ]
}

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📤 Example Output

{
  "Product_Id": "SHOGFFYSBN3YPDKE",
  "Review_Id": "2d84d3dc-395a-413e-9cca-d51c9067f445",
  "Rating": 4,
  "Title": "Very Good",
  "Body": "Nice one",
  "Sentiment": null,
  "Section": "",
  "Higher_Topic": null,
  "Granular_Topic": null,
  "Source": "Flipkart",
  "Full_Review": "Very Good: Nice one",
  "Review_Type": "Product Review",
  "Title_Trans": "Very Good",
  "Body_Trans": "Nice one",
  "Full_Review_Trans": "Very Good: Nice one",
  "Product_Name_Trans": "ADIDAS GlideEase M Running Shoes For Men - Buy ADIDAS GlideEase M Running Shoes For Men Online at Best Price - Shop Online for Footwears in India | Flipkart.com",
  "Product_Segment": "Footwear",
  "Gender": "Unisex",
  "Product_Segment2": "Men's Footwear",
  "Year_Quarter": "2025_Q2",
  "Sub_Brand": "Wowper",
  "Format": "Pants",
  "Country": "India",
  "Date": "2025-05-12",
  "Product_Name": "",
  "Brand": "Wowper",
  "URL": "https://www.flipkart.com/adidas-glideease-m-running-shoes-men/product-reviews/itmc8340026ad1b5",
  "Crawled_Date": "2025-05-16"
}

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⭐ Features

• Extracts user ratings, review titles, and detailed review text.
• Includes metadata such as product ID, brand, category, gender, and more.
• Captures review dates and translated content for multilingual support.
• Outputs structured JSON for easy integration with other tools.

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💡 Use Cases

• Brand Monitoring: Understand how customers perceive your products.
• Competitor Research: Analyze reviews of other brands and market players.
• Customer Insights: Use real feedback to inform product improvements.
• Sentiment Analysis: Prepare data for NLP-based emotional classification.
• Market Trends: Identify recurring praise or complaints across segments.

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🛠 Support

For bug reports or custom needs, contact: 📧 support@getdataforme.com 📨 Or use our contact form: https://getdataforme.com/contact/