cyberneticlibrary

Find and enrich sales leads via Apollo

apollo-lead-finderskillsetup L2679
gooseworks-ai/goose-skills
What it does

Find and selectively enrich Apollo.io leads with free People Search

Best for

When you need 1,000+ prospect names at zero cost to find ICP-fit leads, then selectively spend credits only on the best matches — not for one-off lookups or full-email lists.

Inputs
  • · ICP job titles (e.g., VP of Sales, Head of Growth)
  • · Seniority levels (owner, founder, c_suite, partner, vp, director, manager, senior, entry)
  • · Company size (employee ranges, format: "51,200")
  • · Geographic regions (e.g., United States, San Francisco)
  • · Industry/keyword tags (e.g., SaaS, FinTech)
  • · Titles to exclude
Outputs
  • · List of leads with Apollo person ID, first name, obfuscated last name, title, company name
  • · Boolean flags (has_email, has_phone) indicating enrichment availability
  • · Optional Apollo list with all contacts
  • · Selective enrichment results (emails, phone numbers) for approved leads
Requires
  • · Apollo.io API key (required)
  • · Apollo credits (only consumed during selective enrichment, not search)
Preconditions
  • · Apollo API key stored in .env (APOLLO_API_KEY)
  • · User must answer 8 intake questions to build filter config
  • · Search results must be reviewed before enrichment approval
Failure modes
  • · Free People Search returns limited preview data — no emails or full names without enrichment
  • · Enrichment credits consumed only on demand — can burn budget if user enriches all results without review
  • · Title filtering is keyword-based, not exact — false positives/negatives expected
  • · Cannot reliably exclude consultants or contractors posing as employees
Trust signals
  • · Explicit two-phase design (free search, then paid enrichment)
  • · Mode caps table with credit costs (Test: 100 results free, Standard: 5,000 free, Full: 50,000 free)
  • · Database write policy warning: never export without user approval
  • · Available Apollo filters explicitly listed (person_titles, person_seniority, person_locations, organization_num_employees_ranges, q_organization_keyword_tags, person_not_titles)
  • · Config JSON structure provided with all filter mappings