X Mentions Router: Apify + OpenAI → Notion, Slack & Sheets

X Mentions Router: Apify + OpenAI → Notion, Slack & Sheets

Turn public X mentions into an actionable triage stream—automatically scan mentions every four hours with Apify, classify them with an OpenAI model, then route questions to Notion, complaints to Slack, and everything else to Google Sheets for clean logging.

What this workflow does

• Runs on a schedule: Executes every four hours to keep up with fresh X activity.
• Searches X via Apify: Uses the dami_studio~twitter-search-scraper actor to collect up to your configured maximum results based on your search terms.
• Pre-filters and de-duplicates: Filters out very short mentions and skips posts already seen in previous workflow runs.
• Classifies mentions with OpenAI: Sends each remaining mention to an OpenAI chat model to return JSON containing:
  • route: question / complaint / noise
  • summary: a one-sentence summary
  • urgency score
• Routes automatically:
  • Questions → Notion: Creates a new page in a Notion database, including a link to the mention.
  • Complaints → Slack: Posts to your Slack channel with urgency score, summary, and link.
  • Noise → Google Sheets: Appends all other items to a Google Sheets sheet for simple tracking.

Use cases

• SaaS teams monitoring support demand: capture questions as structured Notion records.
• Customer success escalation: surface complaints immediately in Slack with urgency context.
• Brand/community monitoring: maintain a lightweight noise log in Google Sheets for reporting.

Technical details

• Integrations/nodes used: set, gmail, slack, filter, notion, switch.
• Apify actor: dami_studio~twitter-search-scraper (Twitter Search Scraper).
• OpenAI: chat model outputs JSON route/summary/urgency.
• Routing: switch logic sends to Notion, Slack, or Google Sheets logging.