fullenrich-content-engagers

To enrich LinkedIn post engagers with verified emails, the Skill scrapes likes and comments via Unipile, normalizes them into leads, applies ICP scoring, and uses FullEnrich v2 bulk enrichment to append verified work emails and phones into an output CSV.

Yes, you can input a user-provided CSV of leads for ICP scoring and email enrichment. The Skill deduplicates contacts, scores them against editable ICP config rules, and processes qualifying profiles through FullEnrich v2 to obtain verified work emails and phones.

Yes, Unipile is required to scrape LinkedIn post engagers for lead generation. The Skill uses the unipile-node-sdk dependency to extract likes and comments from post URLs, normalizing that social engagement data into a consistent lead format before ICP filtering and enrichment.

FullEnrich credit spend control works through cost previews, dry-runs, interactive approval, and a hard credit ceiling. Before processing bulk lead enrichment, the Skill estimates required credits and guards your spend by requiring explicit approval to prevent unexpected costs.

The best way to qualify LinkedIn engagers against your ICP is using an editable config file to define scoring rules. The Skill automatically deduplicates scraped profiles, scores them against your ICP rules, and separates qualified leads from disqualified ones in distinct CSV outputs.