Automate Twitter Mentions Monitoring and Notification

This workflow automates the process of monitoring Twitter for mentions of a specific user, in this case, @n8nio. It leverages the Twitter API to search for new tweets that mention the user and filters these tweets to ensure only new mentions are c...

n8n

This workflow automates the process of monitoring Twitter for mentions of a specific user, in this case, @n8n_io. It leverages the Twitter API to search for new tweets that mention the user and filters these tweets to ensure only new mentions are captured. Once new mentions are identified, the workflow formats the details of these tweets, including the tweet text and a direct link to the tweet, making it easy for team members to view and respond to mentions.

The workflow utilizes a manual trigger to execute the process, allowing users to run it at their convenience. It first filters tweet data to extract relevant information such as the tweet content, tweet ID, and tweet URL. Following this, a function node checks against previously stored tweet IDs to determine if any new mentions have occurred since the last execution.

If new mentions are found, the workflow sends a notification to a specified Rocket.Chat channel. This ensures that team members are promptly informed of any mentions, allowing for timely engagement with users and fostering better interaction on social media. The use of a cron job allows for scheduling the workflow to run at regular intervals, ensuring continuous monitoring without manual intervention.

This automated approach not only saves time but also enhances the team's ability to stay connected with their audience on Twitter, driving better customer relationships and brand engagement. It is particularly beneficial for businesses looking to improve their social media presence and responsiveness.

$13.02
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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