Flipkart Scraper: Extract Product Data & Prices | MrScraper

The flipkart scraper from MrScraper is an automated data extraction solution built to collect product catalog details, selling prices, MRP, discount percentages, seller ratings, and verified customer reviews from Flipkart. Whether you are tracking competitor pricing across consumer electronics, monitoring product assortments during major shopping festivals like Big Billion Days, or aggregating market data across India's largest e-commerce platform, MrScraper automates the entire extraction pipeline without requiring manual copying or custom proxy infrastructure.

For commercial teams and developers evaluating data collection tools, MrScraper provides both an intuitive no-code interface and a robust flipkart scraper api for programmatic integration. Start extracting real-time Flipkart data with 1,000 free Plan Tokens—no credit card required.

What Data Can the Flipkart Scraper Collect?

Using the flipkart scraper, you can extract complete product attributes across Flipkart category hubs, search result pages, and individual listing detail views:

• Product Title & Brand – Full listing name, manufacturer, brand, and model number specifications.
• Selling Price – Current active purchase price (in INR ₹) available to buyers.
• Maximum Retail Price (MRP) – Official manufacturer list price displayed on the listing.
• Discount Percentage – Exact calculated savings percentage (e.g., 31% off) shown on the product card.
• Bank & Promotional Offers – Instant bank discounts, exchange offers, and no-cost EMI terms.
• Seller Information – Merchant name, seller rating, and Flipkart Assured (F-Assured) fulfillment badges.
• Stock & Delivery Status – Real-time stock availability, delivery timeframes, and pincode-level serviceability.
• Customer Ratings & Reviews – Overall star rating, total review count, rating breakdown, and verified buyer reviews.
• Technical Specifications – Comprehensive specification tables including screen size, resolution, RAM, storage, and operating system.
• High-Resolution Images – Primary and gallery image URLs hosted on Flipkart's CDN.
• Product URL – Canonical Flipkart product listing URL.

Flipkart Reviews Scraper: Customer Feedback & Sentiment

Analyzing customer opinions across competitive product lines helps brands identify quality defects, unaddressed consumer demands, and feature satisfaction. Operating as a dedicated flipkart reviews scraper, MrScraper extracts star scores, review headlines, detailed review text, and certified buyer badges at scale. E-commerce analysts use this data to perform sentiment analysis and benchmark customer reception against competing brands.

Programmatic Access with Flipkart Scraper API

For engineering teams integrating Flipkart data directly into pricing algorithms or catalog databases, MrScraper operates as a high-speed flipkart scraper api. You can fetch clean, structured JSON payloads through a single REST API call:

import requests

# Flipkart scraper API call with automatic anti-bot bypass and proxy rotation
response = requests.get(
    "https://api.mrscraper.com",
    params={
        "url": "https://www.flipkart.com/televisions/pr?sid=ckf,czl",
        "token": "YOUR_MRSCRAPER_TOKEN",
    },
    timeout=30,
)

# Parse structured Flipkart catalog records
products = response.json()
print(f"Successfully extracted {len(products)} Flipkart listings.")

For high-volume data collection, our Web Scraper API, Web Unblocker, and Residential Proxy network manage browser fingerprinting, TLS negotiations, and automatic retries out of the box.

How to Bulk Scrape Flipkart Data With MrScraper (Step-by-Step)

Extracting bulk Flipkart catalog data with MrScraper takes under two minutes:

1. Create Your Account: Register on MrScraper to access your 1,000 free Plan Tokens.
2. Create New Scrapers: Select “New ScrapeGPT” on the homepage and paste the Flipkart URL of the page you wish to scrape.
3. Launch a Bulk Scrape Job: Select the scrapers that you just created on the Scrapers page and select Multiple URLs, you can paste the URLs or import xlsx or xls file.
4. Configure Geotargeting (Optional): If you require regional pricing or pincode-specific delivery and stock status, specify the target delivery postal PIN codes.
5. Define Extraction Fields: Enter a plain-language prompt such as: “Extract all product titles, selling prices, MRP, discount percentage, seller name, star ratings, total reviews, and product links”.
6. Automate & Export: Run the scrape job on demand or schedule recurring runs (hourly, daily, or weekly). Download your completed datasets as JSON or CSV, or stream them directly to your database via Webhooks or Amazon S3.

Input Url

https://www.flipkart.com/televisions/pr?sid=ckf,czl

Sample Output

The extracted Flipkart data can be delivered in structured JSON or tabular CSV formats:

Sample Output (JSON)

[
  {
    "product_name": "SAMSUNG 80 cm (32 Inch) HD Ready LED Smart Tizen TV",
    "selling_price": "₹12,990",
    "mrp": "₹18,990",
    "discount_percentage": "31% off",
    "screen_size": "80 cm (32 inches)",
    "resolution": "HD Ready 1366 x 768 Pixels",
    "operating_system": "Tizen",
    "seller_name": "IndiFlashMart",
    "seller_rating": "4.6 out of 5",
    "f_assured": true,
    "user_rating": "4.4 stars",
    "total_reviews": 84120,
    "promotional_offers": "Free delivery, SAMSUNG authorised installation",
    "product_url": "https://www.flipkart.com/samsung-80-cm-32-inch-hd-ready-led-smart-tizen-tv/p/itm..."
  },
  {
    "product_name": "SAMSUNG New D Series Brighter Crystal 4K Vision Pro (2024 Edition)",
    "selling_price": "₹30,990",
    "mrp": "₹46,900",
    "discount_percentage": "33% off",
    "screen_size": "108 cm (43 inches)",
    "resolution": "Ultra HD (4K) 3840 x 2160 Pixels",
    "operating_system": "Tizen",
    "seller_name": "RetailNet",
    "seller_rating": "4.7 out of 5",
    "f_assured": true,
    "user_rating": "4.4 stars",
    "total_reviews": 12450,
    "promotional_offers": "Upto ₹8,400 Off on Exchange, Free delivery",
    "product_url": "https://www.flipkart.com/samsung-new-d-series-4k-vision-pro/p/itm..."
  },
  {
    "product_name": "SAMSUNG Crystal Vision 4K iSmart with Voice Assistant",
    "selling_price": "₹30,990",
    "mrp": "₹54,900",
    "discount_percentage": "43% off",
    "screen_size": "108 cm (43 inches)",
    "resolution": "Ultra HD (4K) 3840 x 2160 Pixels",
    "operating_system": "Tizen",
    "seller_name": "OmniTechRetail",
    "seller_rating": "4.5 out of 5",
    "f_assured": true,
    "user_rating": "4.4 stars",
    "total_reviews": 23100,
    "promotional_offers": "Upto ₹5,400 Off on Exchange, Free delivery",
    "product_url": "https://www.flipkart.com/samsung-crystal-vision-4k-ismart/p/itm..."
  }
]

Sample Output (CSV)

Is It Legal to Scrape Data from Flipkart?

Extracting publicly accessible product listings, retail prices, and customer feedback from Flipkart is legal under established legal precedents (hiQ Labs v. LinkedIn). Product information, seller details, star ratings, and prices published openly on Flipkart can be gathered for market research, price comparison, and competitive intelligence.

To maintain ethical and compliant scraping operations:

• Extract Public Data Only: Scrape only catalog listings and product details that are accessible to any site visitor. Never attempt to scrape behind customer login screens or harvest personal customer data (PII).
• Respectful Rate Limits: High-frequency scrapers should distribute requests across rotating Indian residential proxies and apply polite request intervals to prevent overloading Flipkart servers.
• CFAA Compliance: Extracting open web data without circumventing password walls or technological barriers does not violate the Computer Fraud and Abuse Act (CFAA). Learn more in our guide on is web scraping legal.

Ready to automate your Flipkart catalog extraction? Try MrScraper free today—claim your 1,000 free Plan Tokens with no credit card required.

Frequently Asked Questions

1. What is a Flipkart scraper used for?

A Flipkart scraper automates the collection of product data from Flipkart's online marketplace. E-commerce sellers, brands, and market researchers use it to monitor dynamic selling prices, track MRP discounts, audit competing seller listings, extract customer reviews, and benchmark catalog performance across Indian retail categories.

2. Does Flipkart have an official API?

Flipkart operates an official Affiliate API designed specifically for registered affiliate partners to generate product referral links and track commissions. However, this official flipkart api is strictly limited: it does not provide comprehensive market research data, bulk review sentiment, detailed seller-level metrics, or historical pricing across all platform merchants. As a result, businesses and developers use web scrapers like MrScraper to collect complete, real-time product datasets that the affiliate API does not support.

3. What data can you extract from Flipkart product listings?

You can extract all public attributes from Flipkart product pages and search results. This includes India-specific pricing attributes such as current selling price, MRP (Maximum Retail Price), and discount percentage, as well as product titles, brand specifications, seller names, seller ratings, Flipkart Assured badges, stock availability, star ratings, and customer reviews.

4. Can I scrape seller information from Flipkart listings?

Yes. Flipkart operates an open marketplace with thousands of independent third-party merchants. MrScraper can extract the merchant's business name, seller star rating, seller feedback count, and whether the listing includes Flipkart's F-Assured quality certification badge, helping brand owners track authorized resellers and enforce price parity.

5. Can I scrape Flipkart customer reviews and ratings?

Yes. Using MrScraper as a dedicated flipkart reviews scraper, you can extract star ratings, total rating counts, review titles, full customer feedback text, and verified certified-buyer badges across any product category. This unstructured sentiment data can be parsed directly into natural language processing (NLP) pipelines for competitor analysis and product development.

6. Can I track Flipkart prices during sales events like Big Billion Days?

Yes. During major promotional events like Flipkart's Big Billion Days, prices and stock levels fluctuate rapidly with hourly flash sales and bank discounts. By scheduling recurring automated scrape jobs, MrScraper functions as an enterprise flipkart price tracker, enabling you to track selling price and MRP over time via the API, detect flash price drops as they happen, and monitor promotional inventory depletion.

7. What format is scraped Flipkart data exported in?

Scraped Flipkart catalog data can be exported in standardized JSON or tabular CSV formats. JSON is designed for developer ingestion into repricing algorithms, analytics databases, and backend APIs, while CSV enables immediate sorting and analysis in Microsoft Excel, Google Sheets, or business intelligence dashboards. MrScraper also supports automated delivery directly to Amazon S3 buckets and custom webhooks.

8. How do I avoid getting blocked while scraping Flipkart?

Flipkart protects its platform with automated bot detection systems, IP rate limits, and dynamic React rendering. To avoid getting blocked, route your requests through MrScraper's managed residential proxy pool with geotargeted Indian IP addresses, authentic browser TLS JA4 fingerprints, and realistic session headers. MrScraper handles anti-bot challenges and JavaScript execution automatically.

9. Can I scrape Flipkart without coding skills?

Yes. MrScraper provides an intuitive no-code interface with ScrapeGPT. Simply paste any Flipkart product or category URL into the dashboard, enter a plain-English prompt specifying the data fields you need, and export clean JSON or CSV files without writing Python scripts or configuring headless browsers.

10. How is scraping Flipkart different from scraping Amazon India?

While both platforms dominate Indian e-commerce, Flipkart relies heavily on client-side React single-page hydration and distinct India-specific metrics like F-Assured badges and MRP-linked discount structures, whereas Amazon India organizes products around ASIN variant trees and Buy Box ownership models. Many retail brands analyze both platforms concurrently to identify cross-marketplace price arbitrage and stock disparities; explore our Amazon Scraper Guide to learn how to collect Amazon product data at scale.