Connect PostHog to BigQuery
Send PostHog projects, cohorts, feature flags and 4 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
posthog
projectscohortsfeature_flagspersonsevents- 2 more data types
How to connect PostHog and BigQuery
4 steps. You can preview the PostHog data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect PostHog
Enter your PostHog API key and domain. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the PostHog 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 PostHog 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 projects with fresh PostHog data.
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7 data types, including Projects, Cohorts, Feature flags, Persons and Events.
With your PostHog API key and domain, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with PostHog 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 GoHighLevel or Google Ads, and join or append them before the data reaches BigQuery.