Kindred eCommerce Merchant Deals Dataset
4,000,000 merchant deals. Geo-tagged. LLM-ready. Open-source
# E-commerce AssistantWhat is Kindred eCommerce Merchant Deals Dataset?
AI-ready open dataset of 4 million live and daily refreshed e-commerce coupons, deals & redeem-links curated by Kindred - kindred-app/kindred-ecommerce-merchant-deals-dataset
Problem
Users previously relied on manually gathering and updating e-commerce deals data, facing challenges with stale or incomplete data that hindered AI model accuracy and scalability.
Solution
An open-source dataset providing 4 million geo-tagged, LLM-ready merchant deals, enabling users to access daily-refreshed, structured data for AI-driven e-commerce applications like coupon recommendations or market analysis.
Customers
Data scientists, AI developers, and e-commerce analysts working on pricing optimization, deal aggregation platforms, or personalized shopping tools.
Unique Features
Open-source, daily updates, geo-tagged metadata, and preprocessed compatibility with large language models (LLMs) for immediate integration into AI pipelines.
User Comments
Saves weeks of data scraping effort
High-quality structure for machine learning
Critical for real-time deal tracking
Enhances recommendation systems
Supports global e-commerce analytics
Traction
Dataset includes 4 million entries, open-source on GitHub, daily refreshed, and part of Kindred's broader e-commerce data ecosystem with 10K+ downloads/month.
Market Size
The global big data analytics in e-commerce market is projected to reach $22.3 billion by 2027, driven by demand for AI-ready datasets like Kindred's.
