Block 1 - Wait
- Type / Role
- n8n-nodes-base.wait - wait
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Auto Source LinkedIn Candidates with GPT 4 Boolean Search & Google X ray How It Works: 1. User Input: The user pastes a job description or ideal candidate specifications into the workflow. 2. Boole...
n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Abdullah Maftah.
Original n8n.io sourceUser Input:
Boolean Search String Generation:
site:linkedin.com/in ("Job Title" AND "Skill1" AND "Skill2") Google Sheet Creation:
Google Search Execution:
Iterative Search & Data Extraction:
Data Storage:
✅ Automates profile sourcing, reducing manual search time.
✅ Generates precise LinkedIn Boolean search strings tailored to job descriptions.
✅ Extracts and saves LinkedIn profiles efficiently for recruitment efforts.
This solution leverages OpenAI and advanced search techniques to enhance your talent sourcing process, making it faster and more accurate! 🚀
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 | Automate LinkedIn candidates sourcing with Google X-ray Boolean search |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | HR, Multimodal AI |
| Author | Abdullah Maftah |
| Published | 21 Mar 2025 |
Use the JSON export at /data/workflows/3259/3259.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.
Auto Source LinkedIn Candidates with GPT 4 Boolean Search & Google X ray How It Works: 1. User Input: The user pastes a job description or ideal candidate specifications into the workflow. 2. Boole...
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, Multimodal AI use case.