Block 1 - Download file
- Type / Role
- n8n-nodes-base.googleDrive - googleDrive
- Config choices
- Version 3
This workflow is provided as-is. Please review and test before using in production.
When I was applying for roles, I learned the hard way that a one size fits all resume never wins. I obsessively tailored my resume for each posting, reflecting the exact scope, impact, and stack th...
n8n-nodes-base.googledrive, n8n-nodes-base.extractfromfile, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.html, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jugal.
Original n8n.io sourceWhen I was applying for roles, I learned the hard way that a one-size-fits-all resume never wins. I obsessively tailored my resume for each posting, reflecting the exact scope, impact, and stack the team cared about. That’s when the callbacks really started landing from places like Google, Apple, Amazon, and other big tech teams. Personalization worked because recruiters saw immediate alignment: my bullets mirrored their needs.
So I built a small automation that flips the script. Instead of you chasing listings, it collects them for you, scores the fit against your resume, drafts a tailored cover letter, and files everything neatly into a Google Sheet then pings you for the best ones. One daily run. No more “I’ll get to it later.” Just a short list of high-signal roles and a ready-to-edit draft.
But tailoring takes time and the hardest part was upstream: finding roles that truly matched my skills and narrowing to the best-fit few worth customizing for. That’s why I built a lightweight n8n workflow that does the heavy lifting for me: it pulls fresh roles, scores each one against my resume, drafts a role-specific cover letter, and drops everything into a clean Google Sheet. Below is a quick guide to set it up end-to-end so you can spend less time hunting and more time sending targeted, high-quality applications.
Tutorial -
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.
Showing the first 24 of 27 workflow blocks. Download the JSON for the full node graph.
| Workflow | Automate job search with LinkedIn, Google Sheets & AI |
|---|---|
| Complexity | advanced |
| Nodes | 27 |
| Categories | HR, AI Summarization |
| Author | Jugal |
| Published | 14 Oct 2025 |
Use the JSON export at /data/workflows/9602/9602.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.
When I was applying for roles, I learned the hard way that a one size fits all resume never wins. I obsessively tailored my resume for each posting, reflecting the exact scope, impact, and stack th...
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 HR, AI Summarization use case.