Find and rank job listings from Adzuna and Remotive via Telegram with Gemini and Sheets
Quick overview Youtube Video: https://youtu.be/v4NwIVS0GfA
Quick overview
Youtube Video: https://youtu.be/v4NwIVS0GfA
This workflow listens for Telegram messages with a job domain, uses Google Gemini to generate a search query, fetches matching roles from Adzuna and Remotive, ranks the best results with Gemini, replies in Telegram, and appends the top jobs to Google Sheets.
How it works
- Triggers when a Telegram message is received and extracts the chat ID and job domain text.
- Validates that the domain is at least two characters long and sends a usage/help message in Telegram if it is not.
- Uses Google Gemini to turn the domain into a structured search plan including a broad-but-relevant API search query and keywords.
- Calls the Adzuna Jobs API and the Remotive API with the generated search query, then normalizes both responses into a single common job format.
- Combines candidates from both sources, and if no jobs are found sends a “no matching jobs” reply in Telegram.
- Uses Google Gemini to select and rank the top jobs, formats a readable report, and sends the ranked list back to the user in Telegram.
- Splits the ranked jobs into individual items and appends them as rows in a Google Sheets spreadsheet for tracking.
Setup
- Connect Telegram Bot credentials for the Telegram trigger and message-sending steps.
- Add Google Gemini (Google PaLM) API credentials for both Gemini model steps.
- Configure Adzuna access by setting your Adzuna App ID in the workflow and adding the Adzuna App Key as HTTP Query Auth credentials used by the Adzuna request.
- Connect Google Sheets credentials (Service Account or OAuth) and select the target spreadsheet and sheet tab where job rows are appended.
- Review and adjust defaults such as Adzuna country, results per source, max days old, and the number of top jobs returned to Telegram.
production deployment
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creator
iamvaar
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AI Automation Engineer building production-grade n8n systems, custom nodes, and LLM pipelines.
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