We extract health insurance plans, Medicare Advantage details, supplemental coverage, and agent directories from HealthMarkets. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Health Insurance Plans objects from healthmarkets.com. All fields typed and schema-versioned.
"plan_id": "HM-ACA-84920", "carrier_name": "Blue Cross Blue Shield", "plan_name": "Silver Standard HMO", "metal_tier": "Silver", "network_type": "HMO", "monthly_premium": 412.5, "deductible": 2500.0, "zip_code": "75001"
| # | plan_id | carrier_name | plan_name | metal_tier | network_type | monthly_premium |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Medicare Plans objects from healthmarkets.com. All fields typed and schema-versioned.
"medicare_id": "H1036-042-0", "carrier": "Humana", "plan_type": "HMO", "star_rating": 4.5, "monthly_premium": 0.0, "health_deductible": 0.0, "includes_part_d": true, "zip_code": "33101"
| # | medicare_id | carrier | plan_type | star_rating | monthly_premium | health_deductible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Agent Directory objects from healthmarkets.com. All fields typed and schema-versioned.
"agent_id": "AGT-99482", "full_name": "Sarah Jenkins", "agency_name": "Jenkins Insurance Group", "phone_number": "555-019-2834", "city": "Austin", "state": "TX", "languages_spoken": "['English', 'Spanish']", "years_experience": 12
| # | agent_id | full_name | agency_name | phone_number | address | |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Supplemental Plans objects from healthmarkets.com. All fields typed and schema-versioned.
"plan_id": "SUP-DNT-441", "category": "Dental", "carrier": "Delta Dental", "plan_name": "Premium PPO", "monthly_premium": 45.0, "benefit_amount": 2000.0, "waiting_period": "6 months", "state_availability": "['TX', 'FL', 'CA']"
| # | plan_id | category | carrier | plan_name | monthly_premium | benefit_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Carrier Information objects from healthmarkets.com. All fields typed and schema-versioned.
"carrier_id": "CAR-092", "carrier_name": "UnitedHealthcare", "am_best_rating": "A+", "total_plans_offered": 1420, "customer_service_number": "800-555-0199", "plan_categories": "['Medicare', 'ACA', 'Dental', 'Vision']", "network_size": "National"
| # | carrier_id | carrier_name | am_best_rating | states_active | total_plans_offered | customer_service_number |
|---|---|---|---|---|---|---|
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Our HealthMarkets scraper navigates complex location-based session states, rendering dynamic plan grids and extracting precise premium and deductible data across thousands of ZIP codes.
Extract plan details, Star Ratings, Part D inclusion, and out-of-pocket maximums for Medicare plans across all available counties.
Capture metal tiers, network types, premiums, and copay structures for Affordable Care Act plans, normalised into a unified schema.
Automated session management to iterate through 41,000+ US ZIP codes, capturing location-specific pricing and plan availability.
Extract precise financial data including monthly premiums, individual and family deductibles, and coinsurance percentages.
Compile contact information, state licenses, language capabilities, and agency affiliations for local insurance agents.
Extract HealthMarkets proprietary FitScore ratings to understand how plans are ranked and recommended to users.
Scrape dental, vision, life, and critical illness plans, including benefit amounts and waiting periods.
Map which carriers are actively writing policies in specific geographic regions and track their plan portfolios.
Run recurring pipelines during open enrollment periods to track premium adjustments and new plan introductions.
Brief in. Clean data out.
Provide target ZIP codes, plan categories, or agent locations. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, managing location cookies and session states for healthmarkets.com.
Schema validation, null-rate checks, and premium outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
HealthMarkets requires strict session management and location context to display accurate pricing. Here is how we maintain pipeline stability.
Insurance pricing is hyper-local. Our crawlers manage isolated cookie jars and session states for each ZIP code, ensuring that the premiums extracted match the exact geographic location requested without session bleed.
HealthMarkets uses JavaScript-heavy single-page application architectures to render plan comparisons. We use Playwright to execute the JavaScript, hydrate the plan grids, and extract the data from the DOM.
We route all requests through US-based residential ISP proxies to match expected geographic traffic patterns and avoid datacenter IP bans.
Different plan types (Medicare vs ACA) render with different DOM structures. We use fallback chains and structured data extraction to ensure consistent field capture across all plan categories.
We maintain hash indexes of plan details. During critical periods like open enrollment, we can run high-frequency checks and only emit records when premiums or deductibles change.
Insurance carriers monitor competitor premiums, deductibles, and network types across specific ZIP codes to optimise their own pricing strategies.
Healthcare organisations analyse plan availability and carrier dominance in target counties before entering new markets.
Field marketing organisations extract agent directories to identify and recruit licensed brokers in specific geographic regions.
Actuaries track Medicare Advantage Star Ratings, Part D inclusions, and zero-premium plan availability at a national scale.
Startups use normalised plan data to build proprietary recommendation engines and alternative coverage comparison tools.
Analysts track out-of-pocket maximum trends and copay structures across metal tiers to model healthcare cost trajectories.
"HealthMarkets aggregates thousands of insurance policies across carriers, but comparing premiums at a national scale requires a structured data pipeline."
Extracting insurance data requires precise location spoofing, session management for ZIP codes, and handling complex JavaScript rendering for plan grids. DataFlirt manages the infrastructure so your actuarial and product teams can focus on analysis.
Everything supported by our healthmarkets.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 ZIP code iteration and retry logic. Playwright manages the complex DOM rendering and location-specific session cookies required by HealthMarkets.
We maintain dedicated pools of US residential proxies. Rotation happens per ZIP code iteration to ensure location spoofing matches the requested geographic target.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. All extracted plan schemas are validated before delivery.
Data delivered to where your team already works — no new tooling required.
About healthmarkets.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available insurance plan data and agent directories is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not extract Personal Health Information (PHI) or access gated enrollment portals. Clients should consult legal counsel for their specific use cases.
HealthMarkets relies on session cookies and location context to display accurate premiums. We use Playwright to manage isolated browser contexts for each target ZIP code, ensuring that the pricing extracted strictly matches the requested geographic area.
Yes. We extract Medicare Advantage Star Ratings, Part D inclusions, health deductibles, and out-of-pocket maximums for all available plans in a given county.
Pipelines can be configured to run daily, weekly, or monthly. During open enrollment periods, we can increase frequency to capture rapid plan introductions and premium adjustments.
Yes. We extract public agent profiles, including phone numbers, agency names, state licenses, and languages spoken, from the local agent directory.
Our minimum engagement typically starts with a defined list of target ZIP codes or counties with weekly delivery. We price based on geographic coverage and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need premium tracking across 500 counties or a complete national agent directory, we scope, build, and operate the pipeline. Tell us what you need.
