| name | linkedin-thread-monitor |
| description | Track which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics). |
LinkedIn Thread Monitor
Track which of your comments earned author replies. The author-reply signal is the highest-value inbound LinkedIn produces; this skill ensures you respond inside the window where momentum compounds.
Depends on APIFY_TOKEN. Without it, falls back to user-paste of recent comment URLs.
When to use
- Daily: "What threads need follow-up today?"
- After posting a batch of comments: "Check back in 6 hours"
- When an author replied personally: "Draft the response"
Input
- Your LinkedIn handle (last path segment of profile URL, e.g.
your-handle)
- Optional: window in hours (default 72)
Output
Output format (daily report, warm-thread preview, weekly roll-up): see references/output-spec.md. Headline: a table of recent comments with author-reply status + recommended action.
Steps
- Fetch user's recent comments. If
APIFY_TOKEN is set, call lib.ApifyClient.fetch_user_recent_comments(username=<your-handle>, result_limit=30). Each item already includes the parent post body, post URL, post author, and reaction stats. If APIFY_TOKEN is not set, ask the user to list (or paste) the URLs of comments they've posted in the last 72h.
- For each comment posted in last 72h: check the parent post's comment tree (use
fetch_post_comments(post_id=..., scrape_replies=True)) for:
