Put job data into your workflow.

n8n

Import a daily LinkedIn alert, duplicate-safe LinkedIn or EURAXESS Google Sheets tracker, or candidate-specific fit-scoring workflow. The tracker flows validate an exact run and its summary before writing.

Choose it for: self-hosted automation, scheduled alerts, team channels, and workflows that need inspectable branching.

Make

Keep a Google Sheet updated after a configured Apify Task completes. Import a blueprint, connect your accounts, and test that a result creates or updates the intended row. The Task holds your search settings and cost cap.

Choose it for: visual Task-to-Sheets scenarios with native filters and explicit update-or-append routes.

MCP

Give a compatible AI assistant access to Apify tools through MCP, a standard for connecting assistants to external tools. Configure the connection and keep search size and cost limits explicit.

Choose it for: interactive agent searches and tool-driven pipelines that can retain canonical records.

REST API and webhooks

Bring job records into a job board, database, or backend service. Start a small run, wait for completion, and retrieve the results through the API. The guide covers validation, pagination, and repeat updates.

Choose it for: job boards, databases, backend services, and custom idempotent delivery.

Airtable and Python

Airtable provides a reproducible 32-field destination schema and jobKey upsert model. Python tools validate source-specific canonical records or produce that lossy flat view locally.

Choose them for: operational tables, offline validation, ETL, and systems that need a dependency-free contract gate.

Zapier

Follow a manual editor recipe to put candidate-specific scores into Google Sheets. This option requires building the Zap yourself; there is no importable or published Zap. Test row creation and updates before activating it.