We extract medicine catalogues, active salt compositions, pricing signals, substitute mappings, and lab test packages from Medplus. 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 & Drugs objects from medplus.in. All fields typed and schema-versioned.
"sku": "AUGM0001", "product_name": "Augmentin 625 Duo Tablet", "manufacturer": "Glaxo SmithKline Pharmaceuticals Ltd", "composition": "Amoxycillin 500 MG + Clavulanic Acid 125 MG", "packaging": "10 Tablets in 1 Strip", "mrp": 204.5, "selling_price": 173.82, "prescription_required": true
| # | sku | product_name | manufacturer | composition | packaging | mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from medplus.in. All fields typed and schema-versioned.
"sku": "AUGM0001", "pin_code": "560001", "mrp": 204.5, "discount_pct": 15, "selling_price": 173.82, "advantage_price": 163.6, "flexi_rewards": 17, "timestamp": "2026-05-12T09:14:00Z"
| # | sku | pin_code | mrp | discount_pct | selling_price | advantage_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Substitutes objects from medplus.in. All fields typed and schema-versioned.
"primary_sku": "AUGM0001", "primary_name": "Augmentin 625 Duo Tablet", "substitute_sku": "MOXI0045", "substitute_name": "Moxikind-CV 625 Tablet", "substitute_mrp": 165.0, "manufacturer": "Mankind Pharma Ltd", "composition_match_pct": 100, "price_diff_pct": -19.3
| # | primary_sku | primary_name | substitute_sku | substitute_name | substitute_mrp | manufacturer |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Lab Tests objects from medplus.in. All fields typed and schema-versioned.
"test_id": "LAB_CBP_01", "test_name": "Complete Blood Picture (CBP)", "parameters_count": 24, "fasting_required": false, "home_collection": true, "mrp": 450.0, "offer_price": 380.0, "turnaround_time": "24 Hours"
| # | test_id | test_name | parameters_count | fasting_required | home_collection | mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for OTC & FMCG objects from medplus.in. All fields typed and schema-versioned.
"sku": "DETT0023", "category": "Personal Care", "sub_category": "Soaps & Body Wash", "brand": "Dettol", "product_name": "Dettol Original Bathing Soap", "pack_size": "125g x 4", "mrp": 220.0, "selling_price": 198.0
| # | sku | category | sub_category | brand | product_name | pack_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Medplus scraper handles every layer of the platform: medicine catalogues, dynamic pricing, PIN code stock localized logic, and substitute mappings - with JavaScript rendering and session management built in.
Extract product names, manufacturers, active salt compositions, packaging details, and prescription requirements across the entire drug index.
Capture accurate pricing and stock availability by setting specific geographic cookies and session headers per request.
Extract exact active ingredients and their respective milligram dosages to map generic equivalents across brands.
Scrape Medplus substitute recommendations, capturing price differentials and composition match percentages.
Extract diagnostic packages, individual test parameters, fasting requirements, and home collection availability.
Capture standard MRP, standard discount prices, and gated Medplus Advantage tier pricing simultaneously.
Monitor out-of-stock flags and inventory depth indicators across different regional fulfilment centres.
Extract consumer healthcare products, personal care items, and nutritional supplements with category hierarchies.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, salt names, or PIN codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and location session management for medplus.in.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare e-commerce platforms use dynamic sessions for localized pricing. Here is how we maintain data accuracy at scale.
Medplus requires a valid location session to display accurate stock and pricing. Our crawlers inject and maintain specific PIN code cookies across request chains, ensuring the data reflects exactly what a local user sees.
Medplus Advantage prices and specific promotional discounts load asynchronously. We run full Playwright browser sessions to trigger lazy-loads and hydrate dynamic price widgets before extraction.
Medical compositions and substitute tables have complex DOM structures. Our selector strategy uses structured data extraction and text-pattern matching so minor layout updates do not break your pipeline.
For massive drug catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing MRP fields, and schema drift, responding before you notice.
e-Pharmacies track Medplus discount structures and Advantage pricing to adjust their own promotional strategies.
Pharma manufacturers monitor product visibility, stock availability, and category placement across regional Medplus hubs.
Healthcare platforms extract active salt compositions to build generic medicine recommendation engines.
Supply chain analysts track out-of-stock indicators across specific PIN codes to identify regional distribution gaps.
ML teams use structured medicine and composition datasets to train clinical NLP models and dosage classifiers.
Insurtech firms ingest standard MRP data to validate pharmacy claims and detect overbilling automatically.
"Medplus holds India's most structured digital pharmacy catalogue, but extracting hyperlocal pricing and exact salt compositions requires dedicated infrastructure."
Most teams underestimate the investment required: reliable Medplus scraping requires handling PIN-code specific session cookies, rendering dynamic Advantage pricing, and mapping complex active ingredients. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our medplus.in 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 retry logic. Playwright handles JavaScript rendering, location cookie injection, and interaction flows.
We maintain pools of residential ISP proxies across India. Rotation happens per-request with sticky sessions for consistent localized 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 medplus.in scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Medplus is generally permissible. DataFlirt targets only public, non-authenticated medicine catalogues, pricing, and lab test data. We do not extract personal patient data, prescriptions, or violate privacy regulations. Clients should review platform terms and consult legal counsel for specific use cases.
Medplus alters stock and pricing based on the user location. We inject specific PIN code cookies and location headers into our Playwright sessions, ensuring the data extracted perfectly matches what a user in that specific geography sees.
Yes. We map primary medicines to their recommended substitutes, capturing the exact composition match percentage and the price differential between the brands.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window. For specific high-priority SKUs, we can configure streaming pipelines that check for price and stock updates hourly.
Yes. We extract diagnostic packages, individual test parameters, fasting requirements, pricing, and home collection availability.
Our packages start at a defined category list or SKU set with weekly delivery. For full catalogue extraction across multiple PIN codes, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs or specific categories as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off medicine catalogue dump or a continuous price-monitoring feed across multiple PIN codes - we scope, build, and operate the pipeline. Tell us what you need.
