Updated Jan 10, 20256 min read
    surgeons
    healthcare
    geographic crawl
    dataset generation

    Generate a surgeon prospect list from scratch

    Build a comprehensive database of surgeons in your target region without manual research or uploading spreadsheets. PromptLoop's AI-powered geographic crawl finds local medical practices, extracts contact information, and enriches each record with verified details.

    This guide walks you through creating a surgeon list for healthcare marketing, medical device sales, or partnership outreach.

    Prerequisites

    Before you begin:

    • Enterprise plan access – Dataset generation is available on Enterprise plans
    • Target geography defined – Know which cities, states, or regions you want to cover
    • Clear use case – Understand what additional data you'll need (emails, phone numbers, specialties)
    Access

    Available on Enterprise plans. Generation itself is free; you only pay for enrichment tasks you run afterwards.

    Steps to build your surgeon list

    1. Navigate to dataset generation

    Go to your Datasets page and click Generate Dataset in the toolbar.

    2. Select Geographic Crawl mode

    Choose Geographic Crawl as your generation method. This mode finds local businesses within specific regions—perfect for finding medical practices and healthcare providers.

    Generate dataset options

    3. Define your target region

    Enter the geographic areas you want to search. You can specify:

    • Cities – e.g., "Los Angeles, CA" or "Boston, MA"
    • States – e.g., "California" or "Texas"
    • Regions – e.g., "Greater New York Area"
    • ZIP codes – e.g., "90210"

    Start with a smaller region first to validate results before expanding to multiple areas.

    Pro tip

    Start with one city or metropolitan area to test your workflow. Once you validate the data quality, expand to additional regions.

    4. Enter your keyword

    In the keyword field, enter "surgeons" or be more specific:

    • "orthopedic surgeons" – for bone and joint specialists
    • "plastic surgeons" – for cosmetic and reconstructive surgery
    • "cardiovascular surgeons" – for heart specialists
    • "general surgeons" – for broad surgical practices

    Use one keyword per crawl. If you need multiple specialties, run separate generations and combine them later.

    Keyword tips

    Run one keyword per crawl. If you need multiple specialties like orthopedic AND plastic surgeons, run separate generations. This ensures better matching and prevents mixed results.

    5. Generate the dataset

    Click Generate to start the crawl. You'll see:

    1. A placeholder row appears in your datasets list
    2. Status shows as "Generating" while the crawler works
    3. Processing usually takes 3-10 minutes depending on region size
    4. Status changes to "Completed" when the dataset is ready

    The initial crawl provides foundational business data. Next, you'll enrich it with contact details and additional information.

    Enrich your surgeon list

    Add decision maker contacts

    To find individual surgeon names and contact information:

    1. Create a task that extracts surgeon names from practice websites
    2. Create a list item with first name and last name and the titles you want to find - models will automatically navigate to about / team pages
    3. Run the task on your generated dataset
    4. Extract surgeon names, credentials, and specialties

    Learn how to create a custom task

    Add verified emails and phone numbers

    Once you have surgeon names:

    1. Use Contact Enrichment to find verified emails
    2. Add direct phone numbers for outreach
    3. Only pay for successful enrichments

    This gives you direct contact information for personalized outreach.

    Add practice details with a PromptLoop AI Task

    Enrich with additional firmographic data:

    • Specialty areas – What types of surgery they perform
    • Years in practice – Experience level
    • Hospital affiliations – Where they have privileges
    • Insurance accepted – Coverage information
    • Patient reviews – Reputation and quality indicators

    Create custom tasks to extract this information from practice websites and medical directories.

    Example workflow

    Here's a complete workflow for building a cardiovascular surgeon list:

    Generation phase:

    • Region: "Miami, FL"
    • Keyword: "cardiovascular surgeons"
    • Result: 47 practices found

    Enrichment phase:

    • Extract surgeon names from practice websites: 112 individual surgeons
    • Add email addresses: 89 verified emails (79% success rate)
    • Add phone numbers: 95 direct lines (85% success rate)
    • Extract years of experience: 112 results

    Final dataset:

    • 112 cardiovascular surgeons
    • 89 with verified email addresses
    • 95 with direct phone numbers
    • Complete practice information (address, website, main phone)
    • Experience level for targeting

    Use cases for surgeon lists

    Medical device sales:

    • Target surgeons who use specific equipment
    • Segment by specialty and practice size
    • Personalize outreach based on procedures performed

    Healthcare marketing:

    • Promote continuing education programs
    • Offer practice management solutions
    • Share relevant medical research and publications

    Pharmaceutical outreach:

    • Identify prescribers for specific medications
    • Target by specialty and patient volume
    • Coordinate medical science liaison visits

    Recruitment:

    • Find surgeons for hospital expansion
    • Identify candidates for group practice positions
    • Target by geography and specialty mix

    FAQs

    How many surgeons will I find in a typical city?
    Results vary by city size and specialty. A major metropolitan area might have 200-500 general surgeons, while specialized fields like pediatric neurosurgery may only have 5-10 practitioners.

    Can I filter by hospital affiliation?
    Not directly in the crawl, but you can create a task to extract hospital affiliations from practice websites and filter the results afterwards.

    What if a surgeon works at multiple practices?
    The geographic crawl finds practice locations, so a surgeon with privileges at multiple hospitals may appear multiple times. Use deduplication based on name and credentials to consolidate.

    How current is the data?
    The crawler finds currently active practices with web presence. Contact information is verified at the time of enrichment. We recommend refreshing lists every 6-12 months as practices change.

    Can I target surgeons by procedure volume or case complexity?
    Not directly, but you can create custom tasks to extract this information from practice websites, medical group pages, or integrate with healthcare databases that track this data.

    What's the difference between generating a surgeon list and uploading one?
    Generation builds the list from scratch using web crawling—no prior data needed. Uploading requires you to already have a list from another source that you want to enrich with additional data.