shine-lead-enrich

Lead enrichment prioritizes your local data first, then supplements missing details using Apollo.io, Hunter.io, or Apify when connected. This local-first approach minimizes external API calls while producing a structured table with company, name, role, and email columns.

Yes, lead enrichment automatically and clearly labels inferred emails, enforcing GDPR guardrails and explicit confidence labeling. This reduces compliance risk and manual effort by separating verified emails from inferred ones in the output table.

Lead enrichment supports optional integration with Apollo.io, Hunter.io, and Apify LinkedIn scrapers simultaneously. When connected, these external sources augment your local data to populate a structured CSV or Markdown table with source and confidence tracking.

The best way to export enriched leads is using a deterministic output path that generates a structured CSV or Markdown file. The output includes columns for company, name, role, email, source, confidence, and inferred email labels, ensuring consistent data quality.

No, you do not need Apify or external API keys to start lead enrichment because the process prioritizes local data first. External sources like Apollo.io, Hunter.io, or Apify are optional integrations used to supplement missing information when available.

GDPR compliance in lead enrichment is maintained by enforcing guardrails and explicitly labeling all inferred emails in the final output. This ensures transparency regarding data provenance and confidence levels, reducing compliance risk when processing company lists.