We extract medication catalogues, cash prices, dosage forms, and delivery coverage from Alto 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 Medication Details objects from altopharmacy.com. All fields typed and schema-versioned.
"drug_id": "ALT-8492", "ndc_code": "00069-3150-83", "brand_name": "Lipitor", "generic_name": "Atorvastatin", "drug_class": "Statins", "rx_required": true
| # | drug_id | ndc_code | brand_name | generic_name | drug_class | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Variants objects from altopharmacy.com. All fields typed and schema-versioned.
"drug_id": "ALT-8492", "dosage_strength": "40mg", "form": "Tablet", "package_size": 30, "cash_price": 12.5, "retail_price": 45.0, "currency": "USD"
| # | drug_id | dosage_strength | form | package_size | cash_price | retail_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Delivery & Coverage objects from altopharmacy.com. All fields typed and schema-versioned.
"zip_code": "94107", "city": "San Francisco", "state": "CA", "delivery_available": true, "delivery_fee": 0.0, "estimated_time": "Same-day"
| # | zip_code | city | state | delivery_available | delivery_fee | courier_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Active Ingredients objects from altopharmacy.com. All fields typed and schema-versioned.
"drug_id": "ALT-8492", "ingredient_name": "Atorvastatin Calcium", "strength": 40, "unit": "mg", "fda_approved": true, "schedule_class": "Unscheduled"
| # | drug_id | ingredient_name | strength | unit | inactive_ingredients | fda_approved |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pharmacy Locations objects from altopharmacy.com. All fields typed and schema-versioned.
"location_id": "LOC-SF-01", "name": "Alto Pharmacy San Francisco", "city": "San Francisco", "state": "CA", "zip_code": "94103", "hours_operation": "Mon-Fri 9AM-7PM"
| # | location_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Alto Pharmacy scraper navigates complex medication catalogues, dynamic location-based pricing, and dosage variant matrices with residential proxies and JavaScript execution built in.
Extract brand names, generic equivalents, drug classes, side effects, and storage requirements for the entire formulary.
Capture out-of-pocket cash prices, retail comparisons, and discount percentages across different dosage forms and quantities.
Map complex parent-child relationships between medications, strengths, and forms like tablets, capsules, or suspensions.
Determine same-day and next-day delivery availability, courier types, and cut-off times across specific zip codes.
Extract National Drug Codes to standardise medication mapping across your internal healthcare data sets.
Identify pharmaceutical manufacturers for generic equivalents to track supply chain distribution.
Extract active and inactive ingredient lists, FDA approval status, and controlled substance schedule classifications.
Spoof geographic locations to extract state-specific pricing and inventory availability accurately.
Run bulk catalog exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target therapeutic classes, generic names, or zip codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for altopharmacy.com.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Digital pharmacies deploy strict rate limits and location-based state management. Here is how we maintain reliable pipelines.
Alto Pharmacy alters pricing and delivery availability based on the user's geographic location. Our crawlers manage precise session cookies and inject specific zip codes to extract accurate regional data.
Medication search and pricing calculators are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to hydrate dynamic pricing widgets.
Healthcare domains employ aggressive rate limiting. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans.
Frontend structures change frequently. Our selector strategy uses multiple fallback chains per field, including structured data extraction, ensuring a layout change does not break your pipeline.
For large medication catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Retail pharmacies and telehealth providers track cash pricing to optimise their own pricing strategies and margin.
Virtual care platforms integrate real-time cash pricing and availability to guide prescriber decisions at the point of care.
Pharmaceutical manufacturers monitor generic equivalent pricing and market penetration across digital pharmacy channels.
Analysts track out-of-stock indicators across regional delivery zones to identify drug shortage patterns.
Machine learning teams use structured drug interaction and side-effect data to train clinical decision support models.
Payers compare out-of-pocket cash prices against negotiated rates to evaluate pharmacy benefit manager performance.
"Alto Pharmacy exposes a wealth of real-time cash pricing and delivery logistics data, but extracting it requires navigating aggressive bot protection and dynamic location states."
Healthcare data pipelines require precision. Extracting accurate medication pricing and dosage variants means managing session states, residential proxies, and location headers. DataFlirt handles the extraction infrastructure so your team can focus on market analysis.
Everything supported by our altopharmacy.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 retry logic. Playwright manages JavaScript rendering, cookie sessions, and interaction flows required for digital pharmacy sites.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions to maintain location-specific pricing states.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About altopharmacy.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated medication catalogues, pricing, and delivery data. We do not extract Protected Health Information (PHI), circumvent authentication walls, or violate HIPAA. Clients should consult legal counsel for specific use cases.
We use US residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403 or CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. We manage session cookies and inject specific zip codes during the crawl to extract accurate regional pricing and delivery availability.
Yes. Where available in the page source or structured data, we extract National Drug Codes to allow you to map the data against standard healthcare identifiers.
Pipelines can be configured for daily or weekly runs depending on your requirements. Change-detection diffing ensures you only process updated pricing records.
Yes. We build custom pipelines for various digital pharmacies, telehealth platforms, and retail pharmacy chains using unified output schemas.
Our smallest packages start at a defined list of therapeutic classes or generic names with weekly delivery. We price based on data volume, geographic permutations, and delivery frequency.
Absolutely. We provide a sample run of specific medications across selected zip codes as part of the pre-engagement scoping process 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 formulary export or continuous cash price monitoring across regional zones, we scope, build, and operate the pipeline. Tell us what you need.
