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Automated Twitter following with hashtag targeting, Phantombuster, and GPT-4o

plemeoplemeo
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2/3/2026
ExportWebhook ResponseData ExtractionActiveCampaignCSV
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Who’s it for

Growth marketers, community managers, and personal-brand builders who want to steadily grow their Twitter (X) network by following new, relevant accounts on autopilot—while respecting daily limits.

How it works / What it does

  1. Schedule Trigger fires every hour at a specified minute.
  2. Select Cookie picks a rotating Twitter session-cookie based on time slices.
  3. AI Agent creates a realistic AI/BPA hashtag.
  4. Phantombuster Hashtag Agent scrapes recent tweets → extracts profile handles.
  5. Set Item builds a small CSV with one profile; Launch AF Agent instructs the Phantombuster Auto-follow agent to follow it.
  6. Rate-limit nodes cap follows to roughly 50-80 per day.

How to set up

  1. Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key.
  2. In SharePoint › “Phantombuster” folder create:
    • twitter_session_cookies.txt – one cookie per line.
  3. Adjust schedule or search parameters as needed.
  4. Activate the workflow; it will run hourly and follow 1 new profile each launch.

Requirements

  • n8n 1.33 +
  • Phantombuster Growth plan (API access)
  • OpenAI account
  • Microsoft 365 SharePoint tenant

How to customize

  • Change niche: edit hashtag prompt in AI Agent.
  • Follow more accounts: raise numberOfAddsPerLaunch and schedule frequency.
  • Use Google Drive/Dropbox instead of SharePoint: swap the cookie download node.

Automated Twitter Following with Hashtag Targeting, Phantombuster, and GPT-4o

This n8n workflow automates the process of finding relevant Twitter profiles based on specific hashtags, enriching their data, and potentially initiating follow actions. It leverages Phantombuster for data extraction and GPT-4o for intelligent profile analysis.

What it does

This workflow performs the following key steps:

  1. Schedules Execution: The workflow is triggered on a recurring schedule (e.g., daily, weekly).
  2. Sets Initial Data: Defines a starting set of data, potentially including a target hashtag or search query.
  3. Extracts Twitter Data with Phantombuster: Uses Phantombuster to scrape Twitter profiles based on a defined search criteria (likely hashtags).
  4. Waits for Phantombuster Completion: Introduces a delay to ensure the Phantombuster operation has finished.
  5. Analyzes Profiles with AI (GPT-4o): Utilizes an AI Agent powered by an OpenAI Chat Model (GPT-4o) to analyze the extracted Twitter profile data. This likely involves assessing profile relevance, engagement, or other criteria.
  6. Extracts Data from AI Response: Processes the output from the AI Agent, extracting specific information for further use.
  7. Optional: SharePoint Integration: Includes a placeholder for Microsoft SharePoint, suggesting the possibility of storing or retrieving data from SharePoint, though its specific role in this truncated JSON is not fully defined.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Phantombuster Account & API Key: For extracting Twitter data.
  • OpenAI API Key: For the GPT-4o powered AI Agent.
  • Microsoft SharePoint Account (Optional): If you intend to use the SharePoint integration.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your Phantombuster credentials with your API key.
    • Set up your OpenAI credentials with your API key.
    • (Optional) Configure your Microsoft SharePoint credentials if you plan to use that node.
  3. Configure Nodes:
    • Schedule Trigger: Adjust the schedule to your desired frequency (e.g., daily, hourly).
    • Edit Fields (Set): Modify the initial data, especially the target hashtag or search query for Phantombuster.
    • Phantombuster: Ensure the "Phantom" and "Arguments" are correctly configured to target Twitter profiles based on your desired hashtags or search terms.
    • Wait: Adjust the wait duration as needed based on the expected runtime of your Phantombuster phantom.
    • AI Agent and OpenAI Chat Model: Review the prompts and model parameters to ensure the AI analyzes profiles according to your specific criteria.
    • Extract from File: Verify the extraction logic matches the output format of the AI Agent.
    • Microsoft SharePoint (Optional): Configure this node if you want to integrate with SharePoint for data storage or retrieval.
  4. Activate the workflow: Once configured, activate the workflow to start the automation.

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