Flipkart Data Extraction: Collect Public Product Data Responsibly

MrScraper helps businesses, researchers, and developers collect publicly available product data from Flipkart, one of India's leading e-commerce platforms, in a structured format. Use it for price research, product comparison, and market analysis, and export the results as JSON or CSV.

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Before you start: Review Flipkart's current Terms of Use and robots.txt, collect only public data, and check whether Flipkart offers an official or affiliate API that fits your use case. See Using Flipkart Data Responsibly below.

What Is Flipkart Data Extraction?

Flipkart data extraction is the process of gathering product information that is publicly displayed on Flipkart, such as pricing, specifications, descriptions, and ratings, and organizing it into a structured dataset. Businesses, researchers, and developers use it to follow market trends, build price comparison tools, and review competitor listings without copying information by hand.

What Data Can You Collect?

From publicly visible Flipkart search results, category pages, and product pages, MrScraper can collect fields such as:

• Product details: Name, specifications, and features
• Pricing information: Current price, discounts, and offers displayed on the listing
• Customer ratings and reviews: Star ratings and review information shown publicly
• Seller information: Seller details and stock status, where displayed
• Images and videos: Links to product visuals This data supports e-commerce analytics, price tracking, and review sentiment analysis.

Field availability depends on what each page displays publicly, and not every listing shows every field.

How It Works

1. Create your account: Sign up or log in at MrScraper. It's quick and free to get started.
2. Start a new ScrapeGPT: Select New ScrapeGPT on the homepage and paste the URL of the public Flipkart page you want to collect data from.
3. Let the page process: ScrapeGPT analyzes the page to identify the relevant data.
4. Enter a prompt: Describe what you need in plain English, for example "Get all the data", or list the specific fields you want.
5. Download your data: When the job is complete, download the results as JSON or CSV for analysis or integration into your workflow.

Example Input URL

https://www.flipkart.com/televisions/pr?sid=ckf%2Cczl&p%5B%5D=facets.brand%255B%255D%3DSamsung

Sample Output (JSON)

The results can be provided in JSON or CSV. The example below is abbreviated for readability.

[
  {
    "product_name": "SAMSUNG 80 cm (32 Inch) HD Ready LED Smart Tizen TV",
    "screen_size": "80 cm (32 inches)",
    "resolution": "HD Ready 1366 x 768 Pixels",
    "refresh_rate": "60 Hz",
    "operating_system": "Tizen",
    "features": [
      "Bezel-Free Design",
      "300+ Free Channels",
      "PurColor",
      "SmartThings App Support"
    ],
    "price": "₹12,990",
    "discount": "31% off",
    "launch_year": "2022",
    "user_rating": "4.4 stars",
    "promotional_offers": [
      "Free delivery",
      "SAMSUNG authorised installation"
    ]
  },
  {
    "product_name": "SAMSUNG New D Series Brighter Crystal 4K Vision Pro (2024 Edition)",
    "screen_size": "108 cm (43 inches)",
    "resolution": "Ultra HD (4K) 3840 x 2160 Pixels",
    "refresh_rate": "60 Hz",
    "operating_system": "Tizen",
    "features": [
      "4K Upscaling",
      "300+ Free Channels",
      "HDR 10+",
      "Auto Game Mode"
    ],
    "price": "₹30,990",
    "discount": "33% off",
    "launch_year": "2024",
    "user_rating": "4.4 stars",
    "promotional_offers": [
      "Upto ₹8,400 Off on Exchange",
      "Free delivery",
      "SAMSUNG authorised installation"
    ]
  }
]

Sample Output (CSV)

Using Flipkart Data Responsibly

Responsible data collection protects both your business and the platforms you research. We recommend the following practices:

• Check Flipkart's Terms of Use: Read Flipkart's current Terms of Use before starting a project. Many e-commerce platforms place restrictions on automated data collection, so follow any rules that apply to your use case.
• Respect robots.txt and keep request volumes reasonable: Use moderate concurrency and sensible schedules so your activity does not place unnecessary load on the site.
• Collect public data only: Limit collection to product information that any visitor can see without signing in. Do not access private account areas or collect personal data about individuals.
• Consider official APIs first: Check whether Flipkart provides an official or affiliate API that offers the structured data you need. It may be the most appropriate route, particularly for commercial or high-volume use.
• Respect content rights: Product images, descriptions, and review text may be protected by copyright. Avoid republishing them in ways that could infringe the rights of sellers or Flipkart.
• Get legal advice for your situation: The legality of data collection depends on jurisdiction, the type of data, how it is collected, and how it is used. This page is general information, not legal advice. Read more in our guide on web scraping and the law.

Conclusion

Structured Flipkart product data supports market research, price tracking, and product analysis. Collecting it responsibly means working with public information, following the platform's rules, and using official channels where they meet your needs.

Looking for a simple way to get started? Try MrScraper free and turn public product pages into structured JSON or CSV.