Ashish Kumar Swain This workflow corresponds to n8n.io template #3724 — we link there as the canonical source.
This workflow follows the Agent → Airtable recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"id": "JI81TaHdazYM3Wld",
"meta": {
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"name": "Automate Job Search with AI Resume Scoring & Tailoring using OpenAI, Apify, and Airtable",
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"Split Job Preferences": {
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},
"\ud83d\udd0d Apify: Scrape Jobs": {
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{
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},
"\ud83e\udd16 AI: Score CV vs Job": {
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},
"\ud83d\udd04 Loop: Score New Jobs": {
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},
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"\ud83d\udcc4 Parse AI Score Output": {
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},
"\ud83d\udd52 Trigger: Daily Job Fetch": {
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},
"\ud83e\uddf9 Clean & Extract Job Data": {
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},
"Job Extract with revamped scoring": {
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]
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},
"\u270d\ufe0f AI: Revamp CV Based on Job": {
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"\ud83d\udd04 Loop: Generate CV Suggestions": {
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},
"\ud83d\udd04 Loop: Search Jobs per Preference": {
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],
[
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},
"\ud83d\udcc4 Fetch Job Preferences (Google Sheets)": {
"main": [
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{
"node": "Split Job Preferences",
"type": "main",
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}
]
]
}
}
}
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About this workflow
This workflow is designed for job seekers who want to automate their job application research and resume optimization. It's ideal for professionals who want to match their CVs to new job postings daily, improving the chance of landing interviews without manual work. Problem:…
Source: https://n8n.io/workflows/3724/ — original creator credit. Request a take-down →
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