Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Send daily applicant digest by role from Gmail to hiring managers with Google Gemini This workflow automatically collects all new job application emails from your Gmail labeled as applicants in the...
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This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by WeblineIndia.
Original n8n.io sourceThis workflow automatically collects all new job application emails from your Gmail labeled as applicants in the last 24 hours. Every day at 6:00 PM (Asia/Kolkata), it extracts structured details (name, email, phone, role, experience, skills, location, notice, summary) from each applicant (using Gemini AI or OpenAI). It then groups applicants by role and manager, compiles a neat HTML table digest for each manager and emails them a single summary — so hiring managers get everything they need, at a glance, in one place.
applicants and set up filters to route job emails there.| Issue | Possible Cause | Solution |
|---|---|---|
| No emails processed | No 'applicants' label or wrong time window | Check Gmail filters and adjust search query in fetch node |
| All digests go to fallback manager | Incorrect or missing role → manager mapping | Normalize role text in assignment node, expand map |
| AI Extraction returns bad/missing JSON | Wrong prompt, high temperature or missing field names | Tighten prompt, lower temperature, check example response |
| Duplicate/Old Emails appear | Date filter not correct | Use 'newer_than:1d' and keep 'mark as read' in email node |
| SMTP/Gmail Send errors | Auth problem, quota or app password missing | Use OAuth2, check daily send caps and app password settings |
| Blank or partially filled summary table | AI unable to parse poorly formatted/empty email | Improve sender email consistency, add fallback handling |
| Attachments not processed | No attachment extraction node | Add attachment-to-text parsing before AI node |
If you get stuck, need help customizing a mapping or adding nodes or want to integrate extra steps (e.g., resume text, Slack), just ask!
We're happy to guide you step by step, review your workflow, or help you troubleshoot any errors.
Contact WeblineIndia — Your n8n Automation partner!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Daily applicant digest by role with Gemini AI extraction for hiring managers |
|---|---|
| Complexity | intermediate |
| Nodes | 10 |
| Categories | AI Summarization, Multimodal AI |
| Author | WeblineIndia |
| Published | 21 Aug 2025 |
Use the JSON export at /data/workflows/7699/7699.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Send daily applicant digest by role from Gmail to hiring managers with Google Gemini This workflow automatically collects all new job application emails from your Gmail labeled as applicants in the...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Summarization, Multimodal AI use case.