RateMDs Physician Scraper

Extract physician listings from RateMDs quickly and at scale. Collect structured doctor data including ratings, review counts, contact details, clinic locations, and opening hours for research, analysis, and directory building. Built for reliable, automated data collection workflows.

Features

• Comprehensive physician data — Collect names, specialties, ratings, review counts, and profile links.
• Clinic location coverage — Capture deduplicated clinic/location details for each physician.
• Working hours extraction — Gather structured clinic schedule data by day and time.
• Pagination support — Automatically continues across listing pages to reach your target volume.
• Clean structured output — Get consistent dataset items ready for analysis and export.
• Production-ready operation — Designed for stable large-scale runs with practical defaults.

Use Cases

Healthcare Directory Building

Create or enrich physician directories with profile data, specialty information, and clinic contact details. Use structured outputs to keep listings current and searchable.

Market Intelligence

Track physician presence across specialties and regions. Compare listing depth, clinic footprint, and visibility trends over time.

Patient Access Analysis

Analyze clinic locations and operating hours to evaluate healthcare accessibility. Support regional planning and service availability studies.

Research and Reporting

Build datasets for quantitative healthcare research and reporting. Export clean records for dashboards, BI tools, and statistical workflows.

Lead Qualification

Identify providers by specialty and location for outreach pipelines. Use profile and clinic data to segment and prioritize targets.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Specific RateMDs listing URL to start from.
specialty	String	No	—	Specialty keyword used to build listing URL when startUrl is not provided.
location	String	No	—	Location keyword used to build listing URL when startUrl is not provided.
results_wanted	Integer	No	20	Target number of physician profiles to collect. Minimum is 20.
max_pages	Integer	No	10	Maximum listing pages to process per run.
proxyConfiguration	Object	No	Residential proxy preset	Proxy settings for higher reliability at scale.

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Output Data

Each dataset item includes:

Field	Type	Description
name	String	Physician full name.
specialty	String	Physician specialty name.
specialty_slug	String	Specialty slug value.
doctor_id	Integer	Unique physician identifier.
doctor_slug	String	Physician slug value.
rating	Number	Average physician rating.
review_count	Integer	Total number of reviews.
profile_url	String	Physician profile URL.
verified	Boolean	Whether the profile is verified.
accepting_patients	Boolean	Accepting new patients flag.
accepting_virtual_appointments	Boolean	Virtual appointments flag.
appointments_enabled	Boolean	Appointments enabled flag.
appointments_available	Boolean	Appointments available flag.
ratings_disabled	Boolean	Ratings disabled flag.
is_promoted_doctor	Boolean	Promoted profile flag.
location	String	Primary city and province/state string.
city	String	City value.
province	String	Province/state value.
country	String	Country value.
address	String	Primary clinic address.
postal_code	String	Postal/ZIP code.
phone	String	Primary phone number.
website	String	Clinic website URL.
location_name	String	Primary clinic name.
location_category	String	Clinic category/type.
location_latitude	Number	Latitude coordinate.
location_longitude	Number	Longitude coordinate.
location_map	String	Map URL.
clinic_locations_count	Integer	Number of unique clinic locations.
clinic_locations	Array	Deduplicated clinic location objects.
clinic_hours_count	Integer	Number of unique clinic hour entries.
clinic_hours	Array	Deduplicated clinic working hours records.
page	Integer	Listing page number.
page_rank	Integer	Rank of profile on that page.
total_pages	Integer	Total available listing pages for the query.
total_results	Integer	Total available listing results for the query.
list_page_url	String	Source listing URL.
scraped_at	String	ISO timestamp of data extraction.

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Usage Examples

Basic Specialty Search

Use specialty and location to collect physician listings.

{
  "specialty": "acupuncturist",
  "location": "Toronto",
  "results_wanted": 20
}

Direct Listing URL

Start from a specific listing URL and control crawl depth.

{
  "startUrl": "https://www.ratemds.com/best-doctors/?specialty=cardiologist&location=Vancouver",
  "results_wanted": 40,
  "max_pages": 5
}

Large Collection Run

Run higher-volume collection for deeper analysis.

{
  "specialty": "dermatologist",
  "location": "Calgary",
  "results_wanted": 120,
  "max_pages": 15
}

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Sample Output

{
  "name": "Zach Olesinski",
  "specialty": "Acupuncturist",
  "specialty_slug": "acupuncturist",
  "doctor_id": 2139876,
  "doctor_slug": "dr-zach-olesinski-toronto-on-ca",
  "rating": 4.98,
  "review_count": 265,
  "profile_url": "https://www.ratemds.com/doctor-ratings/dr-zach-olesinski-toronto-on-ca/",
  "verified": true,
  "accepting_patients": true,
  "location": "Toronto, Ontario",
  "address": "637 College Street West, Toronto ON M6G1B7",
  "phone": "(416) 402-9217",
  "website": "https://mahayahealth.com/",
  "clinic_locations_count": 2,
  "clinic_hours_count": 5,
  "page": 1,
  "page_rank": 2,
  "total_pages": 2518,
  "total_results": 25177,
  "list_page_url": "https://www.ratemds.com/best-doctors/?specialty=acupuncturist",
  "scraped_at": "2026-02-09T09:29:55.510Z"
}

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Tips for Best Results

Start with Focused Queries

• Use specific specialty and location combinations.
• Validate your first run with smaller max_pages.
• Expand scope after confirming output quality.

Optimize Collection Volume

• Keep results_wanted aligned with business needs.
• Increase max_pages for deeper market coverage.
• Schedule recurring runs for fresh datasets.

Improve Reliability

• Use proxy settings for stable large runs.
• Avoid overly broad queries in a single run.
• Split large regions into multiple targeted runs.

Proxy Configuration

For reliable high-volume collection:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Integrations

Connect your dataset with:

• Google Sheets — Analyze and share physician data quickly.
• Airtable — Build searchable physician and clinic databases.
• Make — Automate downstream data workflows.
• Zapier — Trigger notifications and follow-up actions.
• Webhooks — Send results directly to internal systems.
• BI tools — Power dashboards and reporting pipelines.

Export Formats

• JSON — For APIs and developer workflows.
• CSV — For spreadsheet-based analysis.
• Excel — For business reporting and sharing.
• XML — For legacy or enterprise integrations.

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Frequently Asked Questions

How many profiles can I collect per run?

You can collect large volumes depending on available listings and your input limits. Use results_wanted and max_pages to control run size.

Does the actor handle pagination automatically?

Yes. It continues through listing pages until your target count is reached or page limit is hit.

Why are some fields empty for certain profiles?

Some physicians do not publish complete public information. Missing values are returned as null.

Can I collect data for multiple specialties or cities?

Yes. Run separate tasks for each specialty-location pair or provide dedicated start URLs per run.

Is review text included?

No. The output keeps review_count and rating metrics while avoiding verbose review text details.

What is included for clinic schedules?

You get structured, deduplicated clinic hours with day/time/timezone information.

Does the actor visit every profile page?

No. It focuses on listing data collection for speed and efficiency.

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Support

For issues, improvements, or feature requests, use the Actor issue tracker or Apify Console support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is designed for legitimate data collection and analysis use cases. You are responsible for complying with RateMDs terms, local laws, and applicable data-use regulations.