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

Описание и применение

Команда GTM использует Apify LinkedIn People Search Actor для динамического формирования списков B2B‑контактов, начиная с подсчёта и анализа рынка, а затем извлекая только нужные строки. Это обеспечивает актуальные и точные списки для outbound‑кампаний.

Задача

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

Результат

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.

Рабочий процесс

• 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).

Доказательства

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.

Источник

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

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

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

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