Find & Enrich by Name

What this skill does

End-to-end workflow for getting contact data when you have names and companies but no LinkedIn URLs. Searches contacts at each company, matches each person's name to their profile, confirms the match, then enriches with business email, personal email, and/or mobile - all in one go.

Use this instead of running Find Person and Enrich Contact separately when your intent is clearly to end up with contact data.

Inputs

• Names and companies - single person or a list (paste, CSV)
• Company domains - inferred for well-known companies; asked for unfamiliar ones
• Data type - business email, personal email, phone, or all
• Acceptable risk scores - which A-F deliverability grades to keep (recommended: A, B, C and F; D excluded)

Single person workflow

1. Resolves company name to domain
2. Searches contacts at the company and matches the name against the results
3. Confirms the match with you
4. Enriches and presents as a contact block

Jane Smith - Head of Marketing, Acme Corp
LinkedIn: https://www.linkedin.com/in/janesmith

Business email: jane@acmecorp.com (validated 2024-11-03)
Personal email: Not found
Mobile: +1 415 555 0192

Bulk workflow

For a list of names: groups names by company so each company is searched once, matches names against the returned contacts, auto-selects the best match, then enriches all resolved URLs - email lookups run as parallel per-URL calls, and phone runs as a single batch array call (up to 100).

Flags auto-selected matches and provides a final summary, including the risk-score spread (how many A/B/C/D/F, how many kept vs. filtered).

Search filters

search_people filters on query, company, company_domain, country, state, city, seniority, department or functional_area, industry, linkedin_industry, naics_code, employee_range, and revenue_range.

• Filters are free precision - execution cost comes from the free-text query, so a filters-only search runs ~40x cheaper and lands more precisely. A bare query is never the right shape; at minimum it gets country attached (~99% fill rate).
• Size and revenue apply to the person's current employer - "VPs at 51-200 employee software companies" is one call, not a company search followed by a people search.
• Three industry vocabularies - broad industry buckets, LinkedIn's ~150 niche labels, or a NAICS code at any depth. Shortening the code widens the net.
• Sparse filters are the usual cause of a thin result set - seniority/industry/department are ~60% filled and naics_code/linkedin_industry ~50%, and every filter is exact-match, silently dropping records where the field is empty.
• Sizing is free - count_only: true returns a match count without fetching data or charging tokens, and every response carries results.total to read before paginating.

Tips

• If you already have LinkedIn URLs, skip to Enrich Contact - it's faster
• Search results already include business email, so many contacts need no separate email enrich - phone and personal email still require a call
• Companies where the domain can't be inferred are flagged and you're asked to fill them in
• Every returned email carries an A-F deliverability risk score; you're asked up front which grades to keep, and out-of-range grades are shown and flagged rather than silently dropped