We extract medicine listings, active ingredients, pricing, substitutes, and stock availability from Netmeds. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Medicines & Rx objects from netmeds.com. All fields typed and schema-versioned.
"product_id": "349812", "name": "Augmentin 625 Duo Tablet", "rx_required": true, "manufacturer": "Glaxo SmithKline", "price": 201.5, "mrp": 223.89, "discount_pct": 10, "form": "Tablet"
| # | url | product_id | name | manufacturer | brand | category |
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Complete list of extractable fields for Composition & Clinical objects from netmeds.com. All fields typed and schema-versioned.
"product_id": "349812", "salt_composition": "Amoxycillin + Clavulanic Acid", "strength": "500mg + 125mg", "uses": "Bacterial infections", "side_effects": "['Nausea', 'Diarrhea', 'Vomiting']", "habit_forming": false, "safety_advice_pregnancy": "Consult doctor"
| # | product_id | salt_composition | strength | uses | side_effects | mechanism_of_action |
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Complete list of extractable fields for Pricing & Stock objects from netmeds.com. All fields typed and schema-versioned.
"product_id": "349812", "pincode": "560102", "in_stock": true, "delivery_estimate": "2026-05-14", "price": 201.5, "mrp": 223.89, "membership_price": 195.0, "max_order_qty": 10
| # | product_id | pincode | in_stock | stock_depth | delivery_estimate | price |
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Complete list of extractable fields for Substitutes objects from netmeds.com. All fields typed and schema-versioned.
"source_product_id": "349812", "substitute_id": "128491", "substitute_name": "Moxikind-CV 625 Tablet", "manufacturer": "Mankind Pharma", "price": 165.2, "price_difference_pct": -18.0, "active_ingredients": "Amoxycillin + Clavulanic Acid"
| # | source_product_id | substitute_id | substitute_name | manufacturer | price | price_difference_pct |
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Complete list of extractable fields for OTC & Wellness objects from netmeds.com. All fields typed and schema-versioned.
"product_id": "892110", "name": "Ensure Diabetes Care Powder", "brand": "Ensure", "category": "Diabetes Care", "price": 680.0, "mrp": 750.0, "rating": 4.5, "review_count": 1245
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Our Netmeds scraper handles the entire pharmaceutical catalogue: medicine formulations, dynamic pricing, pincode-level stock, and clinical data. We manage the session handling and location mocking automatically.
Extract prescription medicines, OTC products, and wellness devices with complete metadata including pack sizes and manufacturer details.
Capture exact salt compositions, strengths, therapeutic classes, side effects, and safety advice for every listed medicine.
Map cheaper alternatives and generic substitutes based on exact active ingredient matches and formulation types.
Track stock availability, delivery estimates, and location-specific restrictions across thousands of Indian pincodes.
Record MRP, current selling price, discount percentages, and exclusive Netmeds First membership rates.
Track product portfolios by pharmaceutical company, including brand hierarchies and market presence.
Identify which products require a valid prescription versus those available over the counter.
Extract diagnostic test catalogues, including test parameters, sample collection details, and package pricing.
Collect user ratings and review text for OTC and wellness products to gauge consumer sentiment.
Run continuous pipelines that only push records when prices, stock, or formulations change.
Brief in. Clean data out.
Provide categories, salt names, manufacturer lists, or target pincodes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for netmeds.com.
Schema validation, null-rate checks, price-outlier detection, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting pharmaceutical data requires precise session management for location-based pricing and complex DOM parsing for clinical data. We manage the infrastructure entirely.
Netmeds alters stock availability and delivery timelines based on the user's location. Our crawlers maintain isolated cookie sessions and inject target pincodes to retrieve accurate local data without cross-contamination.
Frequent requests trigger rate limits and IP blocks. We route traffic through Indian residential ISP proxies, rotating IPs per request while maintaining necessary session headers to mimic legitimate user behaviour.
Medical information on Netmeds is often buried in unstructured HTML tabs. We deploy strict parsing logic to extract salts, contraindications, and side effects into clean, queryable JSON arrays.
For large pharmaceutical catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing your downstream processing load.
When Netmeds updates its site layout, extraction can fail silently. Our observability stack alerts on null-rate spikes and coverage drops immediately, allowing us to patch selectors before you miss a delivery.
Other e-pharmacies track Netmeds pricing, discounts, and membership rates to adjust their own promotional strategies.
Analysts monitor manufacturer visibility, new drug launches, and category saturation across the Indian digital pharmacy space.
Distributors track out-of-stock patterns across different Indian pincodes to identify supply chain bottlenecks and demand surges.
Healthcare platforms aggregate substitute data to build recommendation engines that suggest cheaper generic alternatives for prescribed salts.
Health-tech startups extract side effects, contraindications, and dosage instructions to populate their own patient-facing applications.
Virtual clinics sync active medicine catalogues to ensure doctors only prescribe drugs that are currently available in the market.
"Netmeds holds a massive repository of Indian pharmaceutical data, but querying salt compositions and substitute pricing at scale requires dedicated extraction infrastructure."
Scraping e-pharmacies involves bypassing strict rate limits, handling session-based pincode localization, and parsing highly nested clinical structures. DataFlirt manages the residential proxies and schema maintenance so your engineering team can focus on data modeling.
Everything supported by our netmeds.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, cookie sessions, and pincode injection flows.
We maintain pools of residential ISP proxies across India. Rotation happens per-request with sticky sessions required for location-based pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About netmeds.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue and pricing information is generally permissible. DataFlirt targets only public, non-authenticated medicine, pricing, and clinical data. We do not extract personal patient data, bypass login walls, or scrape prescription histories.
Our crawlers establish isolated sessions and inject your target pincodes into the site's location handler. This ensures the pricing and stock depth we return matches exactly what a user in that specific area would see.
Yes. We parse the full composition details, therapeutic class, mechanism of action, side effects, and safety advice (e.g., pregnancy, alcohol interactions) for every listed medicine.
We can configure daily or weekly refreshes for the entire catalogue. For specific high-priority SKUs, we can run hourly checks to monitor fast-moving stock or flash discounts.
Yes. We extract the exact alternative medicines suggested by the platform, including the substitute's manufacturer, price difference percentage, and matching active ingredients.
Our smallest packages start at a defined category or list of 5,000 SKUs with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 medicines as part of the pre-engagement scoping process so you can validate schema fit and data accuracy.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across Indian pincodes, we scope, build, and operate the pipeline. Tell us what you need.