Connect Akeneo to BigQuery
Send Akeneo products, categories, families and 8 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset akeneo
productscategoriesfamiliesfamily_variantsattributes- 6 more data types
How to connect Akeneo and BigQuery
4 steps. You can preview the Akeneo data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Akeneo
Enter your Akeneo host, API username, password, client ID and secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Akeneo data you want in BigQuery.
Show 3 more data types Show fewer data types
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 Akeneo 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 products with fresh Akeneo data.
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11 data types, including Products, Categories, Families, Family variants and Attributes.
With your Akeneo host, API username, password, client ID and secret, 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 Akeneo 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 Shopify or GoHighLevel, and join or append them before the data reaches BigQuery.
