Healthcare Providers Enrich

• You have an incomplete provider list — names without phone numbers, credentials missing from a CRM export, or partial data from a directory scrape that needs completion.
• You're building or cleaning a healthcare database — merging data from multiple sources and need to fill systematic gaps across hundreds of records.
• You need to verify contact information — outdated phone numbers or missing practice addresses that require fresh web lookups.
• You're preparing outreach campaigns — sales or recruitment lists that need complete contact details and credentials before launch.

• You're starting from scratch with practice URLs — use healthcare-providers-extract to discover and extract all providers from practice websites.
• You need credential validation or license verification — use healthcare-providers-verify to check regulatory status and board certifications.
• You're discovering new practices in a market — use market-finder or local-places for geographic practice discovery.
• You need general web scraping — use nimble-web-expert for non-healthcare extraction tasks.

Analyzes your existing provider data against a 5-field completeness model (name, credentials, specialty, contact, education) and identifies exactly which fields are missing for each provider. Skips records that are already complete and focuses enrichment effort where it's needed.

Searches for each provider's practice website, bio page, and directory profiles using disambiguated queries (name + location + specialty). Extracts missing fields from the most authoritative source available, with automatic retry using browser rendering for JavaScript-heavy sites.

Optionally enriches provider records with reviews, ratings, clinical trial activity, and accreditation status by invoking specialty-specific Web Specialist Agents. Adds value beyond core contact and credential data for comprehensive provider profiles.

Parallelizes enrichment for large lists (10+ providers) by spawning researcher sub-agents that handle search and extraction in batches of 5. Uses extract-batch for efficient multi-URL processing and automatic fallback to direct execution if agents fail.

Scores newly added fields as High (2+ sources), Medium (1 source), or Low (inferred) confidence. Deduplicates providers across practice groups using name normalization and location matching, ensuring clean output even from messy input data.

Detects same-day runs of healthcare-providers-extract and reuses discovered practice URLs and page patterns to skip redundant web searches. Constructs individual bio page URLs from known site conventions, dramatically reducing API calls for extract-then-enrich workflows.

You exported 200 providers from your CRM but only have names and states. Upload the CSV and the skill searches for each provider's practice website, extracts missing phone numbers, credentials, and specialties, then returns a complete database ready for outreach.

You scraped a healthcare directory and got partial records with inconsistent fields. The skill analyzes gaps across all records, fills missing contact info and education history from practice websites, and scores confidence so you know which records are ready to use.

Your recruiting team has a list of 50 ophthalmologists with just names and cities. The skill finds their practice websites, adds credentials (MD, FACS), fellowship training, and contact details, then optionally enriches with reviews and clinical trial activity for candidate prioritization.

You have provider data from three different sources with different field coverage. The skill identifies which fields are missing in each record, searches the web to fill gaps, and produces a unified database with confidence scores for every added field.