Workflow overview
Why this workflow matters
Supports knowledge capture and document intelligence use cases.
Who’s it for B2B marketers, recruiters, and personal-brand builders who want to spark conversations on LinkedIn by automatically posting short, relevant comments on fresh industry content—while staying under daily limits. How it works / What it does Schedule Trigger fires every hour. Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. LinkedIn Search Agent (Phantombuster) scrapes recent posts. Get Random Post chooses one post and passes its text to Create Comment (GPT-4o) which returns a ≤150-character reply in the chosen language. Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches the Auto-comment Agent to post the reply. Post URL is logged to linkedin_posts_already_commented.csv to avoid duplicates. Wait nodes throttle launches to ~120 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • linkedin_session_cookies.txt – one cookie per line. • linkedin_posts_already_commented.csv with header postUrl. Edit Set ENV Variables to set default language, comment prompt, company ID, etc. Adjust schedule or comments-per-launch as needed. Activate the workflow; it will run hourly and comment on one new post each launch. Requirements AlekSystem 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change tone/length: edit the prompt in Create Comment. Comment more often: raise numberOfLinesPerLaunch and schedule frequency. Use Google Drive/Dropbox instead of SharePoint by swapping storage nodes.
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