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  1. Data Automation
  2. Data Tracking
  3. Filtered Data Processing

Filter and process incoming data for relevant information

This automation category focuses on capturing, filtering, and structuring incoming data streams into organized records without manual effort. By applying rules to incoming payloads, it ensures only pertinent information is extracted, reducing noise and errors in your workflows. Users gain real-time visibility, consistent data organization, and seamless handoffs to downstream processes.

Filter by common apps:

  • Webhooks by Zapier
  • Google Sheets
  • Filter by Zapier
  • systeme.io
  • Slack
  • Airtable
  • Formatter by Zapier
  • Smartsheet
  • Attentive
  • Google BigQuery
  • Zapier Tables
  • Sub-Zap by Zapier
  • Code by Zapier
  • HubSpot