We extract provider directories, NPI records, facility networks, Medicare plan details, and prescription formularies from Cigna. 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 Healthcare Providers objects from cigna.com. All fields typed and schema-versioned.
"npi": "1982736450", "first_name": "Sarah", "last_name": "Jenkins", "specialty": "Cardiology", "board_certified": true, "accepting_new_patients": true, "telehealth_offered": false, "city": "Atlanta"
| # | npi | first_name | last_name | specialty | sub_specialty | board_certified |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Facilities & Hospitals objects from cigna.com. All fields typed and schema-versioned.
"facility_id": "FAC-99281", "facility_name": "Mercy General Hospital", "facility_type": "Acute Care", "network_status": "In-Network", "emergency_services": true, "total_beds": 450, "city": "Phoenix", "rating": 4.2
| # | facility_id | facility_name | facility_type | network_status | address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accepted Plans objects from cigna.com. All fields typed and schema-versioned.
"plan_id": "OAP-2026", "plan_name": "Open Access Plus", "plan_type": "PPO", "network_name": "Cigna OAP", "metal_tier": "Gold", "is_medicare": false, "copay_primary": 25.0, "referral_required": false
| # | plan_id | plan_name | plan_type | network_name | state_availability | metal_tier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Drug Formularies objects from cigna.com. All fields typed and schema-versioned.
"ndc_code": "00069-3060-30", "drug_name": "Lipitor 20mg", "tier_level": "Tier 3", "prior_authorization_required": true, "step_therapy": false, "quantity_limit": "30 per 30 days", "coverage_status": "Covered"
| # | ndc_code | drug_name | generic_name | brand_name | dosage_form | route |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Office Locations objects from cigna.com. All fields typed and schema-versioned.
"location_id": "LOC-4451", "practice_name": "Atlanta Heart Specialists", "city": "Atlanta", "state": "GA", "zip_code": "30308", "wheelchair_accessible": true, "hours_monday": "08:00-17:00", "phone": "404-555-0199"
| # | location_id | practice_name | npi_list | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Cigna scraper handles the platform complexity: geographic search tokens, network selection logic, and strict rate limits. Built with session management and anti-bot circumvention.
Extract NPI, specialty, board certification, languages spoken, and contact details for individual practitioners across all networks.
Capture hospital affiliations, bed counts, emergency service capabilities, and accreditation status for in-network facilities.
Map NDC codes to coverage tiers, capturing prior authorisation requirements and step therapy rules across specific plans.
Correlate providers with accepted coverage networks including OAP, PPO, HMO, and Medicare Advantage plans.
Iterate across US ZIP codes using algorithmic grid searches to ensure complete national coverage without data overlap.
Identify virtual care availability, wheelchair access, and public transit proximity for specific clinic locations.
Track provider additions and drops from specific networks over time using hash-based diffing on directory records.
Bypass healthcare portal rate limits using US-based residential proxies and human-like request timing patterns.
Configure continuous pipelines at weekly or monthly cadences to maintain accurate master data records.
Brief in. Clean data out.
Provide ZIP code radii, NPI lists, or target plan names. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and geographic iteration logic for cigna.com.
Schema validation, NPI format checks, null-rate monitoring, and sample directory exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare directories use complex search state and strict rate limits. Here is how we maintain extraction reliability at scale.
Cigna search interfaces rely on complex session tokens and client-side state. We execute full Playwright browser sessions to handle geographic search initialisation and capture the underlying API payloads.
To extract a national directory, searching a single city fails due to result truncation. We deploy a mathematical grid of ZIP codes and search radii to ensure 100% geographic coverage without missing rural providers.
Healthcare portals aggressively block datacenter IPs. Our crawlers route traffic exclusively through US-based residential ISP proxies, mimicking legitimate patient search behaviour and avoiding IP bans.
Provider addresses, specialty codes, and clinic names are often inconsistent. We apply post-extraction normalisation pipelines to format NPIs, standardise street addresses, and clean specialty categorisations.
For large directories, we maintain a hash index of last-seen values per NPI. Subsequent runs only push diffs, reducing compute cost and downstream processing load in your warehouse.
Insurers and regulators benchmark Cigna geographic coverage to ensure compliance with network adequacy standards.
Health systems update internal NPI, specialty, and contact records by cross-referencing payer directories.
Rival payers analyse Cigna Medicare Advantage network density and formulary tier placements to inform product strategy.
Pharmaceutical companies track formulary tier placement and step therapy requirements for specific NDC codes.
Digital health platforms map in-network specialists to optimise patient routing and reduce out-of-pocket costs.
Care coordinators identify in-network facilities and specialists for out-of-state patients requiring complex care.
"Cigna provider directories represent a critical dataset in US healthcare, but extracting them requires navigating aggressive rate limits and complex geographic search states."
Most teams underestimate the investment required: reliable Cigna extraction demands US-based residential proxies, session state management, geographic grid algorithms, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our cigna.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 handles JavaScript rendering, state tokens, and complex search interactions on Cigna portal interfaces.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions to mimic legitimate patient search behaviour and avoid rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, geographic grid iteration, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cigna.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable US law. DataFlirt targets only public, non-authenticated provider and formulary data. We do not extract Protected Health Information (PHI), circumvent authentication walls, or violate HIPAA. Clients should review Cigna terms of service and consult legal counsel.
We use US-based residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We monitor for blocking in real time and trigger IP rotation automatically.
Yes. We can configure the pipeline to target specific networks such as Open Access Plus (OAP), HMO, PPO, or specific Medicare Advantage plans.
We use an algorithmic grid search across US ZIP codes. By calculating overlapping radii, we ensure the crawler captures all providers in both dense urban centres and rural areas without missing records.
Yes. We extract full plan details, network composition, and provider participation specific to Medicare Advantage offerings.
We typically configure weekly or monthly refreshes for healthcare directories. The exact cadence depends on your specific data requirements and warehouse ingestion limits.
Yes. We have infrastructure designed to download, parse, and flatten the multi-gigabyte Machine-Readable Files (MRFs) mandated by the Transparency in Coverage rule.
No. We do not bypass authentication walls or interact with any systems that house Protected Health Information (PHI).
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a national provider directory dump or continuous formulary monitoring, we scope, build, and operate the pipeline. Tell us what you need.
