This n8n workflow automates the process of evaluating job candidates by integrating various data sources and processing tools. It triggers on new job applications submitted via JotForm, then fetches and validates essential candidate information such as LinkedIn, GitHub, and LeetCode usernames, along with resumes in PDF format. The workflow scrapes data from LinkedIn profiles, GitHub repositories, and LeetCode stats to assess technical skills. It also extracts and processes resume text from PDFs for content analysis. Using OpenAI’s language models, the workflow evaluates candidate profiles across multiple dimensions like GitHub activity, LinkedIn presence, and problem-solving skills. Results are aggregated, formatted, and appended to a Google Sheet for record-keeping and further review. This automation is ideal for HR teams seeking a streamlined, data-driven candidate screening process that combines multiple evaluation sources efficiently.
Automated Candidate Evaluation & Data Integration Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, httpRequest, if, jotFormTrigger, merge, n8n-nodes-pdfco.PDFco Api, noOp, stickyNote |
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