We extract Medicare Advantage, Part D, ACA, and short-term plans from eHealth. Carrier pricing, deductibles, and copay structures 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 Medicare Advantage objects from ehealth.com. All fields typed and schema-versioned.
"plan_id": "MA-84921", "plan_name": "AARP Medicare Advantage Choice", "carrier": "UnitedHealthcare", "monthly_premium": 0.0, "annual_deductible": 0.0, "out_of_pocket_max": 4900.0, "star_rating": 4.5
| # | plan_id | plan_name | carrier | plan_type | monthly_premium | annual_deductible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for ACA / Individual objects from ehealth.com. All fields typed and schema-versioned.
"metal_tier": "Silver", "carrier": "Blue Cross Blue Shield", "monthly_premium": 412.5, "deductible": 2500.0, "hsa_eligible": true, "network_type": "PPO", "copay_pcp": 30.0
| # | plan_id | plan_name | metal_tier | carrier | monthly_premium | deductible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Medicare Part D objects from ehealth.com. All fields typed and schema-versioned.
"plan_name": "SilverScript Choice", "carrier": "Aetna Medicare", "monthly_premium": 34.2, "annual_deductible": 545.0, "tier_1_copay": 0.0, "gap_coverage": false, "star_rating": 3.5
| # | plan_id | plan_name | carrier | monthly_premium | annual_deductible | initial_coverage_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dental & Vision objects from ehealth.com. All fields typed and schema-versioned.
"plan_type": "Dental PPO", "carrier": "Delta Dental", "monthly_premium": 28.5, "deductible": 50.0, "annual_max_benefit": 1500.0, "preventive_coverage_pct": 100, "waiting_period": "None"
| # | plan_id | plan_name | carrier | plan_type | monthly_premium | deductible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Carrier Networks objects from ehealth.com. All fields typed and schema-versioned.
"carrier_name": "Kaiser Permanente", "state_availability": "['CA', 'WA', 'OR', 'CO', 'HI', 'MD', 'VA', 'GA']", "plan_count": 42, "average_star_rating": 4.8, "am_best_rating": "A+", "network_size": "Large"
| # | carrier_id | carrier_name | state_availability | plan_count | average_star_rating | am_best_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our eHealth scraper handles the complexity of demographic form hydration, session management, and deeply nested benefit structures to extract accurate regional pricing.
Extract Medicare plan details, prescription drug coverage tiers, premiums, and Star Ratings at the county level.
Capture metal tiers, subsidy eligibility estimates, and base premiums for Obamacare marketplace plans.
Extract ancillary insurance products including annual maximum benefits, waiting periods, and coverage percentages.
Insurance pricing varies strictly by location. We iterate through target ZIP codes to capture hyper-local premium variations.
Deep extraction of tier structures for primary care, specialists, emergency room visits, and pharmacy tiers.
Extract complex financial limits including in-network deductibles, out-of-network limits, and family caps.
Capture CMS Star Ratings for Medicare plans and aggregate carrier quality metrics across regions.
Extract prescription coverage tiers and associated copays for Part D and Medicare Advantage plans.
Bypass demographic input gates by automatically injecting age, gender, and tobacco status via Playwright.
Extract live premiums based on specific demographic profiles for accurate competitor benchmarking.
Brief in. Clean data out.
Provide target ZIP codes, demographic profiles, and plan types. We design the extraction schema together.
We configure Playwright crawlers, demographic form submission logic, session management, and proxy rotation.
Schema validation, premium outlier detection, and county-level coverage checks before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Insurance aggregation sites require complex demographic form submissions and session state management. Here is how we extract accurate quotes.
eHealth requires age, ZIP code, and tobacco status to render accurate pricing. We automate these demographic form submissions and maintain session cookies to ensure the quoted premiums match the target profile.
Plan details and dynamic pricing load via asynchronous API calls after form submission. Playwright executes full browser sessions to capture network payloads that simple HTTP clients miss.
Insurance pricing is hyper-local. We manage distributed queues to iterate through national ZIP code lists without triggering rate limits, capturing accurate county-level pricing variations.
eHealth uses commercial bot protection. We rotate ISP-grade residential proxies and randomise request timing to mimic real user behaviour and maintain high success rates.
Insurance plans have deeply nested copay and deductible tiers. We normalise this complex structure into flat, queryable tables ready for immediate analysis in your data warehouse.
Carriers track regional pricing and premium adjustments across competing Medicare and ACA plans.
Actuaries analyse benefit structures, copays, and out-of-pocket maximums to design competitive insurance products.
Health plans evaluate carrier density and average premiums in new ZIP codes or counties.
Large brokerages aggregate eHealth data to train internal quoting tools and benchmark market offerings.
Consultancies track Medicare Star Ratings and plan availability to audit market compliance.
Insurtech startups use normalised plan data to power comparison engines and recommendation models.
"Health insurance pricing is fundamentally local and opaque. eHealth aggregates it, but extracting those premiums across 41,291 ZIP codes requires serious infrastructure."
Most teams fail at insurance scraping because they underestimate the complexity of session state. You cannot simply request a URL; you must submit demographic forms, manage cookies, and parse deeply nested benefit matrices. DataFlirt handles the form hydration, proxy rotation, and schema normalisation so you get clean data, not HTTP errors.
Everything supported by our ehealth.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 while Playwright manages demographic form submission, cookie sessions, and interaction flows for accurate pricing.
Geographically targeted residential IPs ensure requests appear as local traffic, preventing rate limits and geographic blocking during ZIP code iteration.
Airflow and AWS Lambda manage distributed queues across 41,000 ZIP codes, ensuring pipelines complete within required SLAs.
Data delivered to where your team already works — no new tooling required.
About ehealth.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available plan data and premiums is generally permissible. We do not extract PII, access authenticated member portals, or scrape Protected Health Information (PHI). Clients should consult legal counsel for specific use cases.
We configure demographic profiles including age, gender, tobacco use, and ZIP code. Playwright automates the form submission process to generate accurate quotes for these profiles.
Yes. We use distributed queues to iterate through national ZIP code lists, capturing county-level pricing variations across the entire country.
We extract Medicare Advantage, Medicare Part D, ACA Individual, Short-Term, Dental, and Vision plans.
During the Open Enrollment Period (OEP), we configure daily or weekly refreshes. Off-season, monthly refreshes are typical.
Yes. We capture primary care, specialist, emergency room, and pharmacy copays, along with in-network and out-of-network deductibles.
Yes. We provide sample extractions for specific ZIP codes and demographic profiles before contract signature to validate data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a national Medicare dataset or regional ACA premium tracking, we scope, build, and operate the pipeline. Tell us what you need.
