Workflow overview
Why this workflow matters
Helpful for business development and pipeline building.
Who’s it for Recruiters, B2B marketers, and thought-leadership builders who want to boost their LinkedIn engagement by automatically liking fresh, relevant posts—while staying under LinkedIn’s daily limits. How it works / What it does Schedule Trigger runs hourly at a specified minute. Select Cookie chooses a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. Phantombuster LinkedIn Content Search Agent scrapes recent posts → Get Posts. Get Random Post selects one post, checks it isn’t already liked (SharePoint CSV) and appends the company-ID query param. If a personal LinkedIn Account is used, no company-ID is needed. Creates linkedin_posts_to_like.csv, uploads to SharePoint, and provides the URL to Autolike Agent which likes the post. The post URL is added to linkedin_posts_already_liked.csv to avoid duplicates. Wait nodes throttle launches to ≈400 likes/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_liked.csv with header postUrl. Update Set ENV Variables with your LinkedIn company ID (ENV_COMPANY_ID_LINKEDIN). Adjust schedule or likes-per-launch as needed. Activate the workflow; it will run hourly and like one new post per launch. Requirements AlekSystem 1.33 + Phantombuster Growth plan (API access) OpenAI account (GPT-4o) Microsoft 365 SharePoint tenant How to customize Change niche: edit the prompt in Generate Random Search Term. Like more posts: raise numberOfLinesPerLaunch and schedule frequency. Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes.
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