We extract medicine availability, OTC listings, pricing signals, active salts, and promotional discounts from Apollo Pharmacy. 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 Medicine Listings objects from apollopharmacy.com. All fields typed and schema-versioned.
"sku": "CAL0021", "name": "Calpol 500mg Tablet 15's", "brand": "Calpol", "manufacturer": "GSK", "prescription_required": false, "price": 14.85, "mrp": 16.5, "in_stock": true
| # | sku | name | brand | manufacturer | category | sub_category |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Circle Offers objects from apollopharmacy.com. All fields typed and schema-versioned.
"sku": "CAL0021", "base_price": 14.85, "mrp": 16.5, "circle_member_price": 13.2, "circle_discount_pct": 20, "cashback_offers": "5% Apollo Health Credits", "price_timestamp": "2026-05-12T09:14:00Z", "pin_code": "560001"
| # | sku | base_price | mrp | discount_pct | circle_member_price | circle_discount_pct |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Composition & Substitutes objects from apollopharmacy.com. All fields typed and schema-versioned.
"sku": "CAL0021", "primary_salt": "Paracetamol", "salt_strength": "500 mg", "therapeutic_class": "Analgesics/Antipyretics", "habit_forming": false, "schedule_h": false, "substitute_skus": "['DOL0012', 'CROC004']"
| # | sku | primary_salt | salt_strength | therapeutic_class | habit_forming | schedule_h |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for OTC & FMCG Products objects from apollopharmacy.com. All fields typed and schema-versioned.
"sku": "APO0015", "product_name": "Apollo Life Green Tea", "category": "Health Drinks", "brand": "Apollo Life", "pack_size": "25 Tea Bags", "price": 150.0, "in_stock": true, "rating": 4.2
| # | sku | product_name | category | brand | weight_volume | pack_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search & Category Results objects from apollopharmacy.com. All fields typed and schema-versioned.
"keyword": "vitamin c", "category_path": "Immunity Boosters", "position": 1, "sku": "LIM0011", "name": "Limcee 500mg Tablet", "price": 22.5, "circle_price": 20.25, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | category_path | position | sku | name | price |
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Our Apollo Pharmacy scraper extracts structured data across the entire catalogue: prescription medicines, OTC products, pricing variations, and stock availability, mapped to specific pin codes.
Extract product names, SKUs, active salts, therapeutic classes, and manufacturer details across the entire Apollo Pharmacy catalogue.
Capture standard MRP, discounted prices, and Apollo Circle member-specific pricing tiers simultaneously.
Track stock availability and estimated delivery times across different Indian pin codes and hyper-local fulfillment centres.
Map active ingredients and scrape Apollo's suggested substitute medicines to build exact therapeutic equivalents.
Identify Schedule H, Schedule X, and habit-forming drug classifications requiring valid medical prescriptions.
Scrape personal care, baby care, health drinks, and medical devices with full nutritional and specification tables.
Extract detailed medical information including uses, side effects, contraindications, and storage requirements.
Run continuous pipelines at daily or weekly cadences to track fast-moving consumer goods and dynamic pricing changes.
Bypass rate limits and WAF protections using residential Indian proxies and TLS fingerprint spoofing.
Brief in. Clean data out.
Provide target categories, specific SKUs, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and rate-limit handling for apollopharmacy.com.
Schema validation, null-rate checks, price-outlier detection, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare eCommerce platforms employ aggressive rate limiting and geo-fencing. Here is how we maintain steady extraction.
Apollo Pharmacy varies stock and pricing based on location. We route requests through residential proxies mapped to specific Indian pin codes to capture hyper-local availability.
Apollo relies heavily on Next.js and client-side rendering. We intercept the underlying GraphQL and Next.js data payloads directly, bypassing the need for heavy DOM parsing.
Aggressive WAF rules block IP subnets that request too many SKUs. We distribute requests across thousands of residential IPs with randomised delays to stay under threshold limits.
Medical descriptions, side effects, and composition tables often contain irregular formatting. Our pipeline cleans and structures this text into predictable JSON arrays.
For large FMCG catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
ePharmacies and hyper-local delivery apps monitor Apollo's pricing, discounts, and Circle member offers to adjust their own pricing algorithms.
Consumer brands track their product visibility, out-of-stock rates, and category placement across Apollo's digital storefront.
Healthcare platforms build massive drug databases by extracting active salts and mapping Apollo's recommended substitute medicines.
Distributors monitor pin-code level stock availability to identify regional shortages and optimise inventory distribution.
Health insurance providers use standard MRP and substitute data to validate pharmacy claims and calculate maximum claimable amounts.
Telehealth apps integrate scraped catalogue data to allow doctors to prescribe medicines that are actively in stock.
"Apollo Pharmacy holds the most comprehensive, structured database of medicine availability and pricing in India — critical for any eHealth platform."
Extracting data from Apollo Pharmacy requires navigating strict rate limits, geo-fenced inventory, and dynamic Next.js payloads. DataFlirt manages the proxies, the reverse-engineering, and the daily maintenance so your engineering team can focus on building healthcare products, not scraping infrastructure.
Everything supported by our apollopharmacy.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.
Rather than scraping raw HTML, our Scrapy spiders intercept Apollo's underlying Next.js data payloads and GraphQL queries, ensuring highly structured and resilient data extraction.
We maintain pools of residential ISP proxies across major Indian cities. This allows us to simulate requests from specific pin codes to capture hyper-local stock availability accurately.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is securely stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About apollopharmacy.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from apollopharmacy.com is generally permissible under Indian law. DataFlirt targets only public, non-authenticated medicine listings, pricing, and OTC data. We do not extract patient records, circumvent authentication walls, or violate personal data privacy. Clients should review terms of service and consult legal counsel for specific use cases.
Yes. Apollo Pharmacy displays different stock availability and delivery estimates based on location. We configure the pipeline to route requests through specific Indian pin codes to capture accurate local data.
Yes. Our pipeline captures both the standard MRP and the discounted Apollo Circle member price, along with any applicable cashback or bank offers listed on the product page.
We use Indian residential ISP proxies and pace our requests algorithmically. By intercepting Next.js data payloads rather than rendering full pages, we reduce the request footprint and avoid triggering aggressive WAF blocks.
Yes. For every medicine, we extract the list of suggested substitutes provided by Apollo, including their SKUs, names, and prices, allowing you to build comprehensive therapeutic equivalence databases.
For targeted lists of high-velocity medicines or FMCG products, we can run daily or twice-daily pipelines. Full catalogue refreshes typically run on a weekly cadence due to the sheer volume of SKUs.
Absolutely. We provide a sample run of up to 500 SKUs or specific categories as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of the OTC catalogue or continuous price-monitoring for prescription medicines — we scope, build, and operate the pipeline. Tell us what you need.
