Automate Your Job Search with HN Jobs Update
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Stay ahead in your job search by automatically collecting and structuring job postings from the "Ask HN: Who is hiring?" threads. This workflow leverages AI to parse and organize critical job details, making it easier to track opportunities.
About This Workflow
Tired of manually sifting through "Ask HN: Who is hiring?" posts to find your next career move? This n8n workflow automates the process by fetching the latest relevant threads from Algolia, filtering for recent postings, and then using Langchain's structured output parser to extract key information from each job advertisement. The AI-powered parsing transforms unstructured text into a clean, usable format, identifying details like company name, job title, location, employment type, salary, and application URLs. This ensures you never miss a relevant opportunity and can quickly assess its suitability.
This workflow is designed for developers, engineers, and anyone looking to streamline their job application process, especially those interested in remote, hybrid, or on-site roles within the tech industry.
Key Features
- Automatically fetches "Ask HN: Who is hiring?" posts using Algolia search.
- Filters for job postings within the last 30 days to ensure relevance.
- Utilizes Langchain's AI capabilities for structured data extraction from job descriptions.
- Parses crucial job details including company, title, location, salary, and application links.
- Outputs job data in a standardized, easy-to-use format.
How To Use
- Configure the HTTP Request Node: Ensure your API key and application ID for Algolia are correctly set up. The node is pre-configured to search for "Ask HN: Who is hiring?" posts.
- Split the Results: The
Split Outnode will separate the individual job posts from the fetched data. - Filter for Recent Posts: Use the
Filternode to keep only job postings from the last 30 days. - Extract Job Details: The
Trun into structured datanode (a Langchain LLM node) will process the job descriptions and extract structured information based on the provided schema. - Define Schema: The
Structured Output Parsernode is where you define the exact fields you want to extract (e.g.,company,title,location,salary,apply_url). Adjust theinputSchemato match your desired output. - Connect and Run: Connect the nodes as shown in the workflow and execute it to start receiving structured job data.
Apps Used
Workflow JSON
{
"id": "8ba622ab-2564-4622-a545-9433543a1139",
"name": "Automate Your Job Search with HN Jobs Update",
"nodes": 25,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8ba622ab-2564...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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