If you're seeking data for deep insights into the Indian market, a Flipkart scraper can be an essential tool. You get complete and accurate information directly from India’s largest online retailer — titles, prices, discounts, ratings, reviews, specifications, and availability — all exported in a single, structured file.
At ScrapeIt, we don’t operate like rigid SaaS tools — we work as your dedicated, hands-on data partner. We focus on your exact goals and build a custom extraction flow around them. Whether you need product titles, technical specs, ratings, or even logistics data, we’ll tailor the process for you. The result? Clean, structured datasets in CSV, Excel, or JSON — ready to plug into your analytics, systems, or CRM.
We’ve already mastered the Flipkart ecosystem: we know how the site is structured, how it changes, and how to adapt scraping patterns for speed and precision. When you need to scrape Flipkart, we make sure nothing gets lost in translation — and you get results without the technical hassle.
Our Flipkart data scraper pulls essential product information directly from the listing pages:
This is the core data for competitive tracking, pricing analysis, and positioning strategy.
Our extractor navigates each product page to capture extended layers of product data that go far beyond the basics:
These are the details that often reveal what’s really working — and where the opportunities lie.
Flipkart isn’t just another big e-commerce platform — it’s the market leader in India, responsible for around 40% of all online retail transactions and serving over 400 million users. It processes millions of daily sales across countless categories.
Its user base is unique: nearly 70% comes from Tier 2 and Tier 3 cities, with many accessing the platform in Hindi and other regional languages. Products are listed in Indian Rupees, and most logistics are handled in-house via Flipkart’s Ekart service.
Founded by former Amazon employees, Flipkart has grown far beyond traditional retail. It now operates under flipkart.com, serving millions across India. The platform offers purchase credit options, frequent cashback deals through partnerships with major banks, and caters to regional language users — making it one of the most influential e-commerce sites in the country.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Flipkart — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Without clean, targeted data, you're flying blind: you don't know which products are gaining traction, what pricing strategies competitors use, which reviews hurt conversions, or which sellers are dominating your niche. The platform is highly dynamic — changes in price, reviews, or logistics can instantly affect product visibility.
With our Flipkart scraper, you can:
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt is a company of experts who specialize in data scraping and parsing across the most complex e-commerce ecosystems — from Amazon and Etsy to AliExpress and Flipkart web scraper solutions.
We don’t just extract data — our services are built to adapt to site architecture and anti-bot measures, delivering what others miss. Our clients receive fully customized, actionable datasets — whether it’s ongoing data feeds or large-scale data migrations.
We collect both core product data (like product name, price, rating, and availability) and extended attributes such as technical specifications, reviews, images, “Bestseller” tags, delivery details, seller information, and more.
It depends on your needs. We can provide daily, weekly, or on-demand data updates.
You will receive structured data in CSV, Excel, or JSON format — ready to use in your internal systems or analysis tools.
No. We handle the entire process — from scraper setup and execution to data filtering, formatting, and delivery. You simply receive ready-to-use data.
Yes, we collect full review content including text, date, ratings, and other details — when available on the product page. This is highly useful for analyzing customer sentiment and identifying product issues.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
