Connect Chameleon to PostgreSQL
Send Chameleon helpbars, segments, urls and 7 more data types to PostgreSQL on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
PostgreSQL
schema chameleon
helpbarssegmentsurlsurl_groupschanges- 5 more data types
How to connect Chameleon and PostgreSQL
5 steps. You can preview the Chameleon data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 5
Connect Chameleon
Enter your Chameleon API key. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Chameleon data you want in PostgreSQL.
Show 2 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Chameleon export.
Step 4 of 5
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Chameleon data.
Show 3 more fields Show fewer fields
Step 5 of 5
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in helpbars and loads fresh Chameleon data.
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Build your Chameleon integrations with these destinations
Get the most of Chameleon to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
10 data types, including Helpbars, Segments, Urls, Url groups and Changes.
With your Chameleon API key, entered once when you add the connection.
Yes. Set the start date and end date to cover the period you need.
Yes. Add filter conditions in the source settings to keep only the Chameleon records you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the chameleon schema and the helpbars table on the first run.
Yes. Append adds new rows to helpbars on each run, while Replace swaps in a fresh copy. With Append, add new Chameleon columns to the table yourself before the next run.
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 PostgreSQL.
