Project goal:
To set up a seamless automatic data transfer (title, description, and image) from the #airtable database to #LinkedIn via #Make.com for posting, minimizing manual work.
What has been implemented:
An Airtable-Make.com-Upload Post-LinkedIn architecture has been created involving iterators and aggregators. The script automatically triggers when a new record appears or when the status changes (for example, when a record receives the status "Ready for publication"). Thus, data from Airtable is transferred directly to the platform's API for posting.
Business outcome:
The publishing process has become completely autonomous. The user simply needs to fill in a row in the Airtable table, and the system automatically formats the text, uploads media, and creates a ready post.
To set up a seamless automatic data transfer (title, description, and image) from the #airtable database to #LinkedIn via #Make.com for posting, minimizing manual work.
What has been implemented:
An Airtable-Make.com-Upload Post-LinkedIn architecture has been created involving iterators and aggregators. The script automatically triggers when a new record appears or when the status changes (for example, when a record receives the status "Ready for publication"). Thus, data from Airtable is transferred directly to the platform's API for posting.
Business outcome:
The publishing process has become completely autonomous. The user simply needs to fill in a row in the Airtable table, and the system automatically formats the text, uploads media, and creates a ready post.