Largest Flipkart Product Listings
flipkart.com · CSV
Looking to enhance your data-driven projects? Our large Flipkart e-commerce dataset is now available in CSV format, offering a wealth of information across multiple product categories. Whether you need the complete dataset or a specific subset based on categories, we've got you covered.
What’s Included in the Flipkart Dataset?Our dataset is meticulously curated to provide high-quality, reliable data for your e-commerce and AI projects. It includes detailed product information spanning various categories, such as:
- Automotive Accessories
- Baby Care Products
- Mobiles & Accessories
- Men's Fashion Dataset from Flipkart
- Home Improvement Items
- Beauty and Grooming Products
- Footwear
- Jewellery
- Toys and Games
- Health Care Supplies
- Kitchen, Cookware & Serveware
- Computers and Accessories
- Audio & Video Equipment
…and many more!
A sample CSV file with 200 records is available for download after a quick signup. Use this sample to evaluate the data structure, quality, and relevance to your project requirements.
Why Choose Our Flipkart Product Dataset?- Customizable Subsets: Request a subset of data tailored to specific categories that suit your project needs.
- Versatile Applications: Perfect for building recommendation engines, price comparison tools, inventory management systems, and market trend analysis.
- Ease of Access: The dataset is available in CSV format for seamless integration into your workflows.
- Diverse Categories: Covering everything from fashion and home decor to electronics and festive decor, this dataset offers unmatched variety.
Visit Crawl Feeds Data Request to request access to the complete dataset or a customized subset.
Fields
title, url, pid, formatted_url, price, currency, original_price,discount,f_assured, highlights, seller, seller_rating,description, specifications, formatted_specifications, images, return_policy, category, sub_category_1, sub_category_2, sub_category_3, breadcrumbs, country_of_origin, generic_name, manufactured_by, avg_ratings, reviews_count, ratings_count, uniq_id, scraped_at