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Flipkart Product Catalogue and Pricing Data
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About
The Indian e-commerce website, Flipkart. Gathered via a web scraper, it offers a snapshot of products available for sale, including their categorisation, pricing, ratings, and sellers. The data is valuable for market analysis, competitive research, and understanding consumer trends within the Indian retail and shopping sector.
Columns
- category_1: The primary classification for a product, such as "Women's wear" or "Men's wear".
- category_2: The secondary classification for a product, like "Baby Care" or "Accessories".
- category_3: The third and most specific product classification, for example, "Innerwear" or "T-Shirts".
- title: The name or title of the product listing.
- product_rating: The customer-provided rating for the product, on a scale out of 5.
- selling_price: The price of the product at the time the data was collected, in Indian Rupees (₹).
- mrp: The Maximum Retail Price of the product, in Indian Rupees (₹).
- seller_name: The name of the business or shop selling the product on Flipkart.
- seller_rating: The customer-provided rating for the seller, on a scale out of 5.
- description: Descriptive text about the product, where available.
- highlights: Key features or highlights of the product, where available.
- image_links: A URL link to an image of the product.
Distribution
The dataset is provided as a single CSV file with a size of approximately 7.53 MB. It is structured in a tabular format containing 12 columns and around 12,000 records.
Usage
This dataset is ideal for:
- Analysing pricing strategies and discount structures in the Indian e-commerce market.
- Studying the relationship between product ratings, seller ratings, and pricing.
- Building recommendation engines or product categorisation models.
- Identifying popular product categories and top-performing sellers.
- Market basket analysis to understand which products are often sold together.
Coverage
The data covers a wide range of product categories sold on Flipkart, primarily focusing on the Indian market. The temporal scope is limited to the specific date the data was scraped. There is no specific demographic scope beyond the general user base of the e-commerce platform.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists & Analysts: Can use this data for market trend analysis, price optimisation studies, and building predictive models.
- E-commerce Businesses: Can perform competitor analysis and gain insights into product assortment and pricing on a major platform.
- Academic Researchers: Can study online retail behaviour, consumer ratings systems, and market dynamics in India.
- Marketing Professionals: Can identify popular product features, keywords, and selling points for marketing campaigns.
Dataset Name Suggestions
- Flipkart Product Catalogue and Pricing Data
- Indian E-Commerce Product Listings (Flipkart)
- Flipkart Seller and Product Ratings Analysis
- Retail Product Data for India (Flipkart)
- Flipkart Web Scraped Product Information
Attributes
Original Data Source: Flipkart Product Catalogue and Pricing Data
QUALITY