Datasets and databases from Healthcare
Healthcare Product Data – Structured Datasets for Medicine & Wellness E-commerce
The digital healthcare space is rapidly transforming, with consumers increasingly turning to platforms like 1mg, PharmEasy, and even Flipkart for everything from prescriptions to wellness supplements. At Crawlfeeds, we provide structured access to this valuable product data — enabling businesses, researchers, and developers to analyze and innovate across healthcare categories.
Why Structured Healthcare Data Matters
Healthcare e-commerce platforms list thousands of medical products, supplements, and treatment options. However, accessing this data in a structured and scalable way is a challenge due to:
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Frequent product updates and stock changes
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Inconsistent formatting across categories (e.g. Ayurvedic vs. Allopathic)
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Varying dosage forms, strengths, and packaging details
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Fragmented categorization of medical devices, prescription drugs, and wellness items
With Crawlfeeds, you can skip the noise and get clean, filterable product data ready for integration or analysis.
Use Cases for Healthcare Product Datasets
1. AI & ML for Drug Classification
Train models to automatically classify medicines by type, composition, or usage. Perfect for recommendation systems in health tech apps.
2. Product Matching Across Marketplaces
Compare listings of the same drug or supplement across platforms (e.g., 1mg vs. PharmEasy vs. Flipkart) for price intelligence, supply analysis, or catalog unification.
3. E-commerce Competitor Monitoring
Track how brands position healthcare and wellness products online — from pricing and availability to packaging and discount cycles.
4. Academic & Market Research
Use real-world product data to analyze availability of generics, dosage trends, consumer-facing drug labeling, or compliance information across providers.
5. HealthTech App Enrichment
Enrich your app or platform with verified product metadata — including salt compositions, categories, dosage forms, and usage tags — ideal for integrations with e-prescriptions or medicine reminders.
Medicines Large Dataset along with Images from Pharmeasy
Data extracted from the site pharmeasy.in in
json
format and having more then 243 Thousand records
All Medicines from pharm easy
Data extracted from the site pharmeasy.in in
json
format and having more then 2.4 Thousand records
1mg Medicines Dataset
Data extracted from the site 1mg.com in
csv
format and having more then 70 Thousand records
Food and health care products database
Data extracted from the site flipkart.com in
CSV
format and having more then 48 Thousand records
Pharmeasy healthcare datasets
Domain: pharmeasy.in
There 3 datasets extracted from the pharmeasy.in and data available in both JSON and CSV formats.
1mg healthcare datasets
Domain: 1mg.com
There 1 datasets extracted from the 1mg.com and data available in both JSON and CSV formats.
Flipkart healthcare datasets
Domain: flipkart.com
There 13 datasets extracted from the flipkart.com and data available in both JSON and CSV formats.