This n8n workflow automates the process of collecting, parsing, and storing job postings from various sources, specifically focusing on ‘Ask HN: Who is hiring’ discussions. It starts with a scheduled trigger that initiates searches for recent relevant posts on Hacker News using an Algolia search API. The workflow extracts main post details and replies, then fetches individual job posts and comments. Text cleaning and data extraction steps preprocess the job descriptions using custom code, removing noise, HTML tags, and formatting the content for easy analysis. The structured data is then processed with language models like Google Gemini to generate uniform, detailed job information, which is finally stored in Airtable for easy access and management. This workflow is ideal for recruiters, HR teams, or job aggregators seeking to automate the monitoring and organization of hiring trends on social and developer-oriented platforms.
Automated Job Post Gathering and Structuring Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, airtable, code, filter, httpRequest, limit, scheduleTrigger, set, splitOut |
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