We extract healthcare provider directories, dynamic appointment availability, insurance network acceptance, and patient reviews from Zocdoc. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
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 zocdoc.com. All fields typed and schema-versioned.
"npi": "1982736450", "provider_name": "Dr. Sarah Jenkins, MD", "primary_specialty": "Dermatology", "gender": "Female", "languages_spoken": "['English', 'Spanish']", "overall_rating": 4.88, "review_count": 342, "board_certifications": "['American Board of Dermatology']"
| # | npi | provider_name | primary_specialty | gender | languages_spoken | education |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Appointment Slots objects from zocdoc.com. All fields typed and schema-versioned.
"provider_id": "PRV-84729", "location_id": "LOC-9921", "date": "2026-08-14", "time": "14:30:00", "appointment_type": "Illness", "is_telehealth": true, "new_patient_allowed": true, "scraped_at": "2026-08-12T10:05:22Z"
| # | provider_id | location_id | date | time | appointment_type | is_telehealth |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Insurance Networks objects from zocdoc.com. All fields typed and schema-versioned.
"provider_id": "PRV-84729", "carrier_name": "Aetna", "plan_name": "Aetna Choice POS II", "plan_type": "POS", "network_status": "In-Network", "medicare_medicaid": false, "verification_date": "2026-08-12"
| # | provider_id | carrier_name | plan_name | plan_type | network_status | verification_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patient Reviews objects from zocdoc.com. All fields typed and schema-versioned.
"review_id": "REV-998273", "provider_id": "PRV-84729", "rating_overall": 5, "rating_bedside_manner": 5, "rating_wait_time": 4, "date": "2026-07-22", "verified_patient": true, "comment": "Very attentive and answered all my questions clearly."
| # | review_id | provider_id | rating_overall | rating_bedside_manner | rating_wait_time | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Clinic Locations objects from zocdoc.com. All fields typed and schema-versioned.
"location_id": "LOC-9921", "practice_name": "Downtown Dermatology Associates", "address": "1400 Broadway, Suite 2201", "city": "New York", "state": "NY", "zip_code": "10018", "latitude": 40.753, "longitude": -73.987
| # | location_id | provider_id | practice_name | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Zocdoc scraper handles the platform complexities. We process dynamic calendars, postal code session states, and insurance plan iterations with full JavaScript rendering and proxy rotation built in.
Extract names, NPIs, specialties, education history, and professional statements across all medical categories.
Capture open time slots, telehealth versus in-person availability, and new patient booking restrictions.
Map accepted carriers and specific plan types to individual providers or practice locations.
Collect overall ratings, wait time scores, bedside manner metrics, and full text reviews from verified patients.
Extract exact coordinates, multi-office affiliations, and practice contact details.
Track provider SERP positions for specific specialties within defined zip codes.
Identify providers offering virtual care options and their specific state licensing coverage.
Log hospital affiliations and board certifications to verify provider qualifications.
Run continuous pipelines at daily cadences to capture availability changes with change-detection diffing.
Brief in. Clean data out.
Provide zip codes, specialties, or specific insurance networks. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for zocdoc.com.
Schema validation, null-rate checks, and geographical coverage verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed cadence.
Healthcare directories use aggressive rate limiting and complex state management. Here is how we maintain pipeline stability.
Zocdoc blocks datacenter IPs rapidly. Our crawlers use US residential ISP proxies with realistic browser fingerprints and full cookie session management.
Appointment availability is entirely JavaScript rendered. We run Playwright browser sessions to trigger lazy loads and hydrate calendar widgets.
Search results depend on strict location cookies. We maintain isolated browser contexts for each target zip code to ensure accurate geographical data.
We maintain a hash index of appointment slots. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes and schema drift, responding before data quality degrades.
Telehealth platforms track provider density and availability metrics to benchmark against their own networks.
Payers map out-of-network gaps by analyzing provider distribution and accepted insurance plans across specific zip codes.
Analysts track specialty density, review trends, and clinic expansion to identify underserved geographical markets.
Machine learning teams use review text to train NLP models on patient satisfaction, wait times, and bedside manner.
Health systems cross-reference Zocdoc profiles to update internal NPI directories and verify credential accuracy.
Medical device sales teams target specific specialties and high-volume clinics using practice location data.
"Zocdoc controls the most accurate real-time availability dataset in US healthcare. Accessing it requires navigating complex dynamic calendars."
Extracting Zocdoc availability involves rendering heavy JavaScript calendars, managing postal code session state, and rotating proxies to avoid rate limits. DataFlirt handles the infrastructure, delivering structured healthcare provider records directly to your data warehouse.
Everything supported by our zocdoc.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 deduplication. Playwright handles JavaScript rendering and zip code session state.
We maintain pools of US residential ISP proxies. Rotation happens per request with sticky sessions for calendar iteration.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State is stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About zocdoc.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available provider information is generally permissible. DataFlirt targets only public directories, reviews, and availability. We do not extract PHI or circumvent authenticated patient portals.
We use US residential ISP proxies and full Playwright browser sessions with realistic request timing. We monitor for blocks in real time and trigger pool rotation automatically.
Yes. We maintain a hash index of appointment slots per provider. Subsequent pipeline runs output only the diffs, allowing you to track exactly when slots are booked or opened.
Pipelines can be configured to run daily or at custom intervals. Real-time streaming for a targeted list of providers achieves sub-60-minute latency.
Yes. We paginate through all patient reviews on a provider profile, capturing the text, overall rating, bedside manner rating, wait time rating, and date.
Yes. We provide a sample run for a specific zip code or specialty as part of the 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 provider directory dump or continuous availability tracking across major cities, we scope, build, and operate the pipeline. Tell us your requirements.
