This n8n workflow automates the process of collecting, analyzing, and organizing job-related data from multiple sources. Starting with an input of job descriptions received via webhook, it extracts key details using AI language models. The workflow then performs web searches to find relevant LinkedIn profiles and other web pages, scraping profile data with Apify. It applies a scoring system to evaluate profiles, verifies scraping completion, and retrieves detailed LinkedIn data. Finally, it stores the organized results in Google Sheets for easy analysis. Practical for recruiters or HR teams, this workflow streamlines talent sourcing, saving time and improving data accuracy.
Automated Job Data Collection and Analysis Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, function, googleSheets, httpRequest, if, limit, set, splitInBatches, splitOut, stickyNote, wait |
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