We extract physician profiles, hospital quality ratings, patient reviews, and insurance networks from Healthgrades. 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 Provider Profiles objects from healthgrades.com. All fields typed and schema-versioned.
"provider_id": "HG-98421", "npi_number": "1932485721", "full_name": "Dr. Sarah Jenkins, MD", "specialty": "Cardiology", "gender": "Female", "board_certification": "American Board of Internal Medicine", "practice_names": "['HeartCare Associates', 'City General Cardiology']", "languages": "['English', 'Spanish']"
| # | provider_id | npi_number | full_name | specialty | gender | age |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patient Reviews objects from healthgrades.com. All fields typed and schema-versioned.
"review_id": "REV-7738219", "provider_id": "HG-98421", "star_rating": 4.5, "wait_time_rating": 3.0, "bedside_manner_rating": 5.0, "comment": "Excellent physician, takes time to listen. Wait was a bit long.", "date": "2026-02-14"
| # | review_id | provider_id | star_rating | wait_time_rating | staff_rating | bedside_manner_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Facility Data objects from healthgrades.com. All fields typed and schema-versioned.
"facility_id": "HOSP-4421", "name": "City General Hospital", "type": "Acute Care Hospitals", "beds": 450, "trauma_level": "Level II", "patient_safety_rating": 4.2, "overall_rating": 4.0
| # | facility_id | name | address | type | beds | trauma_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Insurance Networks objects from healthgrades.com. All fields typed and schema-versioned.
"provider_id": "HG-98421", "payer_name": "Blue Cross Blue Shield", "plan_name": "BlueChoice PPO", "network_status": "In-Network", "plan_type": "PPO", "medicare_accepted": true
| # | provider_id | payer_name | plan_name | network_status | verification_date | plan_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from healthgrades.com. All fields typed and schema-versioned.
"keyword": "Cardiologist", "location": "Chicago, IL", "position": 3, "provider_id": "HG-98421", "name": "Dr. Sarah Jenkins, MD", "distance": "2.4 miles", "sponsored": false, "rating": 4.8
| # | keyword | location | position | provider_id | name | specialty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Healthgrades scraper processes complex provider profiles, paginated patient reviews, and dynamic insurance network widgets — with built-in CAPTCHA circumvention and session management.
Extract NPI numbers, clinical specialties, education history, board certifications, and spoken languages for millions of physicians.
Map providers to specific hospitals, clinics, and practice groups, including address data and primary practice locations.
Scrape full review text, overall star ratings, and sub-ratings for wait times, staff friendliness, and bedside manner.
Capture dynamic insurance acceptance data, including specific payer names, plan types (HMO/PPO), and Medicare/Medicaid status.
Extract publicly listed board actions, malpractice claims, and disciplinary history linked to provider profiles.
Track facility-level clinical awards, patient safety ratings, and specialty excellence designations published by Healthgrades.
Monitor provider visibility for specific specialty and location searches, distinguishing organic results from sponsored placements.
Run recurring pipelines that only emit records when a provider's rating changes, new reviews are posted, or insurance networks update.
Extract latitude/longitude coordinates and structured address components for precise healthcare network density analysis.
Brief in. Clean data out.
Provide NPI lists, specialty URLs, location bounds, or target facilities. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for healthgrades.com.
Schema validation, null-rate checks, and data typing enforcement before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthgrades employs strict rate limiting and dynamic content loading. Here is how we maintain reliable extraction.
Healthgrades relies on strict IP reputation scoring and browser fingerprinting. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and randomised request timing to bypass WAF restrictions.
Insurance acceptance widgets and paginated reviews are heavily JavaScript-rendered. We run full Playwright browser sessions to hydrate these components, capturing data that headless HTTP clients miss entirely.
DOM structures for provider profiles change frequently. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and JSON-LD structured data — ensuring continuous data flow.
For large provider directories, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops — and respond before you notice.
Health plans cross-reference Healthgrades data to audit their own directories for accuracy, ensuring compliance with No Surprises Act mandates.
Hospital networks monitor physician reviews and facility ratings across locations to identify operational bottlenecks and improve patient experience.
Medical device sales teams map physician affiliations, specialties, and hospital connections to optimise their territory targeting.
Healthcare systems track competitor facility ratings, new physician onboarding, and patient sentiment trends within specific geographic markets.
Payers analyze which competing plans specific high-value specialists accept, informing contract negotiations and network adequacy strategies.
Analysts track the density of specific specialists (e.g., neurologists) against population demographics to identify underserved markets.
"Healthgrades holds the most comprehensive public directory of US healthcare providers and patient sentiment — but it requires serious infrastructure to extract at scale."
Most teams underestimate the investment required: reliable Healthgrades scraping requires US residential proxies, full JavaScript rendering for dynamic insurance widgets, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our healthgrades.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About healthgrades.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible. DataFlirt targets only public, non-authenticated provider profiles, facility ratings, and reviews. We do not extract PHI, circumvent authentication walls, or violate HIPAA. Clients should review Healthgrades' ToS and consult legal counsel for specific use cases.
We use US-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403/CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. We paginate through all available patient reviews for a given provider or facility, capturing the complete historical corpus including star ratings and specific sub-category scores.
Full directory refreshes at weekly or monthly cadences complete within a defined SLA window. We can also configure daily diff pipelines for specific high-priority provider subsets.
Our smallest packages start at a defined geographic bounds or specialty list (e.g., all cardiologists in Texas) with monthly delivery. For national catalogues, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 provider profiles or 50 facility pages 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 targeted list of specialists or a continuous feed of patient reviews across 1M providers — we scope, build, and operate the pipeline. Tell us what you need.
