This n8n workflow automates the process of monitoring Twitter for new tweets containing a specific keyword, extracting relevant tweet information, and storing unique entries into an Airtable database. Starting with a manual trigger, it searches Twitter for recent tweets mentioning ‘verstappen’ and captures details such as the tweet text, author, timestamp, and like count. The workflow then checks against existing records in Airtable to identify new tweets, filtering out duplicates. Any new tweets identified are appended to Airtable, ensuring a continuously updated repository of relevant social media mentions. This workflow is particularly useful for social media monitoring, brand reputation management, or tracking public conversations around specific topics or personalities.
Automated Twitter Mention Tracker
Node Count | 6 – 10 Nodes |
---|---|
Nodes Used | airtable, manualTrigger, merge, set, twitter |
Reviews
There are no reviews yet.