New automations and triggers
Posted: Tue Jan 28, 2025 3:07 am
SeaTable now supports four platforms for process automation:
Automation has been a key topic in recent weeks and months. We are proud that SeaTable is now available on four integration platforms: In addition to Zapier , on which SeaTable has been represented since the beginning of 2021, sophisticated workflows can now also be built with Integromat , n8n and Locoia .
With all the attention paid to external america rcs data integrations , we haven't lost sight of SeaTable's own automations. The key innovation is the Execute Python Script action . It can be triggered by the "New Row", "Entries meet a certain condition after the change" and "Execute Periodically" triggers. The automated execution of Python scripts for a single row or an entire data set using a clear set of rules is almost a superpower!
Python scripts can now be started via automation.
The existing action “Lock row” receives the new trigger event “Periodic execution for rows that meet a certain condition”. In combination with the other two triggers “New row” and “Entries meet certain conditions after the change”, the user now has optimal control over the automatic locking of rows.
Finally, the two scheduled events “Run periodically” and “Run periodically for rows that meet a certain condition” have been given a manual execution option. This makes it easy to test automations with these triggers.
Automation has been a key topic in recent weeks and months. We are proud that SeaTable is now available on four integration platforms: In addition to Zapier , on which SeaTable has been represented since the beginning of 2021, sophisticated workflows can now also be built with Integromat , n8n and Locoia .
With all the attention paid to external america rcs data integrations , we haven't lost sight of SeaTable's own automations. The key innovation is the Execute Python Script action . It can be triggered by the "New Row", "Entries meet a certain condition after the change" and "Execute Periodically" triggers. The automated execution of Python scripts for a single row or an entire data set using a clear set of rules is almost a superpower!
Python scripts can now be started via automation.
The existing action “Lock row” receives the new trigger event “Periodic execution for rows that meet a certain condition”. In combination with the other two triggers “New row” and “Entries meet certain conditions after the change”, the user now has optimal control over the automatic locking of rows.
Finally, the two scheduled events “Run periodically” and “Run periodically for rows that meet a certain condition” have been given a manual execution option. This makes it easy to test automations with these triggers.