GT‑M engineering for developers: three buying‑signal lists you can build this afternoon with Apify, Claude Code or n8n

Description and use

GTM teams can build custom lead lists with Apify’s LinkedIn People Search Actor, starting with free count and market breakdowns, then purchasing rows at $0.95 per 1,000. This enables quick creation of three list types: former execs from major tech firms, recent sales leaders, and cross‑border fintech hires.

Problem

Outbound teams rely on generic signals that are too broad; they need custom, refreshed buying‑signal lists that reflect their specific market segments.

Outcome

Using the Apify Actor, teams can build three distinct buying‑signal lists—founder/C‑level exits, recent sales leaders, and cross‑border fintech hires—for $5.83, $20.74, and $29 respectively, with a cost of $0.95 per 1,000 rows and free market sizing.

Workflow

• 1. Define the buying signal and target segment (e.g., new C‑level founders from major tech firms).
• 2. Run the Apify Actor in "count" mode to get the segment size and market breakdown (free).
• 3. Refine filters until the segment matches the desired list.
• 4. Switch to "people" mode to purchase the rows at $0.95 per 1,000.
• 5. Chain additional Actors (e.g., email finder, full profile) using the profile URL or company domain as keys, buying expensive details only for selected rows.
• 6. Use "excludeDatasets" to refresh the list weekly, retrieving only new contacts.
• 7. Deploy the query via one of four interfaces: Apify Console, API, Claude MCP, or n8n nodes.
• 8. Integrate results into downstream systems (CRM, Slack, etc.).

Evidence

For all three lists I use the LinkedIn People Search Actor by b2bsearch.

Source

The unit is a person row: name, current title and seniority, employer with size and industry, location, when the role started, and flags for whether an email is on record.

Source

Run the free modes until the segment looks like the list you want, then switch mode to people.

Source