Connect Breezy HR to BigQuery
Send Breezy HR positions, candidates and pipelines to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset breezy_hr
positionscandidatespipelines
How to connect Breezy HR and BigQuery
4 steps. You can preview the Breezy HR data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Breezy HR
Enter your Breezy HR API key and company ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Breezy HR data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Breezy HR data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites positions with fresh Breezy HR data.
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Build your Breezy HR integrations with these destinations
Get the most of Breezy HR to BigQuery integration
Gather data
Understand data
Automate data
Act on data
3 data types, including Positions, Candidates and Pipelines.
With your Breezy HR API key and company ID, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Breezy HR data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
