✨ Auto-like Twitter posts with AI hashtags, cookie rotation & SharePoint

⚡ 78 views · ✨ AI & LLMs

💡 Pro Tip — HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it — it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

Description

Who’s it for

Growth hackers, social-media managers, and brand builders who want to keep their Twitter (X) accounts active by automatically liking relevant posts on a set schedule—without manual scrolling.

How it works / What it does

1. Schedule Trigger runs every hour at a specified minute.
2. Select Cookie chooses a rotating Twitter session-cookie (to stay under 1 000 likes/day).
3. AI Agent generates a realistic AI/BPA-related hashtag.
4. Phantombuster Hashtag Agent scrapes recent tweets for that hashtag → Get Posts.
5. Get Random Post picks one tweet, checks it isn’t already liked (SharePoint CSV), and uploads a one-row twitter_posts_to_like.csv.
6. Phantombuster Autolike Agent receives the CSV link and likes the tweet.
7. The tweet URL is appended to twitter_posts_already_liked.csv to prevent duplicates.

How to set up

1. Create credentials: Phantombuster API key, SharePoint OAuth2, OpenAI API key.
2. In SharePoint › “Phantombuster” folder add:
   • twitter_posts_already_liked.csv (header postUrl).
   • twitter_session_cookies.txt – one cookie per line.
3. Adjust schedule if you need a different frequency.
4. Activate the workflow—likes will start automatically.

Requirements

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

How to customize

• Change hashtag logic: edit the prompt in AI Agent.
• Increase daily likes: add more cookies or shorten Wait nodes.
• Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes.

🔗 Nodes Used

Phantombuster, Schedule Trigger, AI Agent, OpenAI Chat Model, Convert to File, Extract from File

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup