GTM signals from career data: querying a B2B people database from the API, Claude Code and n8n

Description and use

GTM teams use the Apify LinkedIn People Search Actor to dynamically build B2B contact lists, starting with count and market analysis before pulling only the needed rows. This ensures fresh and precise lists for outbound campaigns.

Problem

Outbound teams need up-to-date, actionable B2B people lists that reflect real market segments, not static exports.

Outcome

By iteratively counting, market‑breaking down, and then pulling people, outbound teams can maintain fresh, precisely sized target lists, reducing wasted outreach and improving response rates.

Workflow

• Run mode: "count" to get total number of matching people.
• Run mode: "market" to see segment breakdown by title, employer, size, industry, country, seniority and email coverage.
• Adjust filters until the segment size and composition match the target list.
• Run mode: "people" with profileDetail "row" to retrieve identity, current role, employer, location and email flags.
• Optionally set profileDetail to "profile" or "contacts" for deeper career or contact data.
• Use the returned rows as input to downstream processes (e.g., AI agents, n8n workflows, CRM updates).

Evidence

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 mode: "count" and mode: "market" until the segment looks like the list you want, then switch mode to "people".

Source

The Apify Console. Open the Actor page, fill the form, press Start. The dataset exports to CSV, JSON or Excel.

Source

The API, from anywhere. One HTTP call runs the Actor and returns the dataset when it finishes.

Source