All integrations

Data Platform · Integration

Google BigQuery

Sourcing.sh deposits the index data of AI agents directly into BigQuery. Your agents and analysts operate a unified repository, queryable at scale with no infrastructure to administer.

Study the connection to Google BigQuerySee Google BigQuery ↗

What Sourcing.sh communicates with Google BigQuery

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 is published in a dedicated BigQuery dataset and updated at regular intervals via scheduled jobs. Your AI agents read fresh serverless SQL tables, ready for analytics, reporting, and enrichment, without you having to build or maintain an ingestion stream.

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 Google BigQuery

    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 Google BigQuery.

  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.

Book a demo