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Data Platform · Integration

Apache Airflow

Sourcing.sh feeds your Apache Airflow DAGs with the data index of the AI ​​agents. The data comes in as the source of a scheduled ingestion task.

Study the connection to Apache AirflowSee Apache Airflow ↗

What Sourcing.sh communicates with Apache Airflow

Send the data

sourcing.sh pushes companies, profiles and fresh offers into your tool.

Refresh the data

Your records are re-crawled and updated continuously — the data no longer dies.

The index serves as a source: Airflow orders the extraction of Sourcing.sh data, manages dependencies and routes them to the warehouse or applications. Fresh data orchestrated in Python pipelines, distributed according to your schedules and dependency rules.

This record describes a compatibility to study. Availability, data exchanged, required rights and any costs are confirmed before activation. General API and webhooks require Scale.

Your workflow

The right data. The right action.

New information, a detected change or a record to complete: your agent checks the data and applies the rules you defined.

Create a record, update approved fields or request human approval: you stay in control before data reaches your tool.

Define my workflow

How it works

  1. 01

    Frame the connection to Apache Airflow

    Confirm compatible objects and necessary rights: OAuth, API key or export.

  2. 02

    Define exchanges

    Choose the fields to complete and the update rules in Apache Airflow.

  3. 03

    Plan the checks

    Choose the cadences and actions to trigger when a change is detected.

Discover the API

Your next step

Turn data into action.

Find the right contacts, keep your data up to date and connect your tools.

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