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Auto-like tweets from selected profiles with Phantombuster & SharePoint AI rotation

plemeoplemeo
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2/3/2026
TriggerAutomationData ExtractionEventsGoogle Calendar
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Who’s it for

Growth hackers, community builders, and marketers who want to keep their Twitter (X) accounts active by liking posts from selected profiles automatically.

How it works / What it does

  1. Schedule Trigger fires hourly.
  2. Profile Post Extractor fetches up to 20 tweets for each profile in your CSV.
  3. Select Cookie rotates Twitter session-cookies.
  4. Get Random Post checks against twitter_posts_already_liked.csv.
  5. Builds twitter_posts_to_like.csv, uploads to SharePoint.
  6. Phantombuster Autolike Agent likes the tweet.
  7. Logs the liked URL to avoid duplicates.

How to set up

  • Add Phantombuster + SharePoint credentials.
  • In SharePoint “Phantombuster” folder:
    • twitter_session_cookies.txt
    • twitter_posts_already_liked.csv (header postUrl)
    • profiles_twitter.csv (list of profiles).

Profile CSV format

Your profiles_twitter.csv must contain a header profileUrl and direct links to the Twitter profiles. Example:

profileUrl
https://twitter.com/elonmusk
https://twitter.com/openai

Auto-Like Tweets from Selected Profiles with Phantombuster and SharePoint AI Rotation

This n8n workflow automates the process of liking tweets from a curated list of Twitter profiles using Phantombuster, with profile selection managed through a SharePoint list and AI-powered rotation. This ensures a dynamic and intelligent approach to engaging with specific Twitter content.

What it does

This workflow streamlines the process of engaging with tweets from a rotating set of Twitter profiles:

  1. Triggers on a Schedule: The workflow runs at predefined intervals to ensure continuous engagement.
  2. Retrieves Twitter Profiles from SharePoint: It fetches a list of Twitter profile URLs from a specified SharePoint list.
  3. Rotates Profiles with AI: An AI agent (likely an OpenAI Chat Model) analyzes the retrieved profiles and selects a subset for the current run, providing an intelligent rotation mechanism.
  4. Prepares Data for Phantombuster: The selected Twitter profile URLs are converted into a CSV file, which is the required input format for the Phantombuster "Twitter Auto Liker" phantom.
  5. Executes Phantombuster Phantom: It triggers the configured Phantombuster phantom to automatically like tweets from the profiles specified in the CSV file.
  6. Waits for Phantombuster Completion: The workflow pauses, allowing the Phantombuster phantom to complete its operation.
  7. Retrieves Phantombuster Results: After the wait, it fetches the results from the completed Phantombuster phantom.
  8. Processes Phantombuster Output: The output from Phantombuster (likely a CSV file) is extracted and potentially further processed, although the exact processing steps are not detailed in the provided JSON.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Phantombuster Account: An active Phantombuster account with access to the "Twitter Auto Liker" phantom.
  • Phantombuster API Key: Credentials for your Phantombuster account configured in n8n.
  • Microsoft SharePoint Account: Access to a SharePoint site and a list containing Twitter profile URLs.
  • Microsoft SharePoint Credentials: Credentials for your SharePoint account configured in n8n.
  • OpenAI API Key: An API key for OpenAI (or a compatible LLM provider) configured in n8n, used by the AI Agent.

Setup/Usage

  1. Import the workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Phantombuster credentials.
    • Set up your Microsoft SharePoint credentials.
    • Set up your OpenAI credentials for the AI Agent.
  3. Configure SharePoint Node (1302):
    • Specify the SharePoint site and list from which to retrieve Twitter profile URLs.
    • Ensure the list contains a column with the Twitter profile URLs.
  4. Configure AI Agent Node (1119):
    • Review and adjust the prompt or instructions for the AI Agent to ensure it selects Twitter profiles as desired.
    • Ensure the "OpenAI Chat Model" (1153) is correctly configured with your OpenAI API key.
  5. Configure Phantombuster Node (436):
    • Select the "Twitter Auto Liker" phantom.
    • Ensure the input for the phantom is correctly mapped to the CSV file generated by the "Convert to File" node (1234).
  6. Configure Schedule Trigger Node (839):
    • Adjust the schedule to your desired frequency for running the auto-liking process.
  7. Activate the workflow: Once all configurations are complete, activate the workflow.

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