This n8n workflow automates the process of extracting, processing, and posting job listings from Google Drive and Telegram inputs to a WordPress site. It involves multiple steps including file searching, data extraction with OpenAI’s GPT, data mapping, image handling, and final posting, streamlining the management and publication of recruitment listings.
The workflow begins by monitoring a designated Google Drive folder or receiving links via Telegram. It searches for relevant files and downloads the content for processing. Data is then extracted from the content using language models, and key details such as job title, category, location, company, and logo are parsed.
Data mapping nodes convert textual categories and types into specific IDs compatible with the target website. Images like company logos are downloaded and uploaded to WordPress, while other job details are formatted into the correct post structure.
The workflow includes validation checks to ensure all required fields are available. If data is incomplete, it attempts alternative extraction methods or notifies users of errors via Telegram. Successful postings are announced back to Telegram, along with detailed information about the posted job.
This workflow is ideal for digital agencies, HR teams, or freelance recruiters who need to efficiently publish job openings without manual intervention, ensuring timely updates and consistent formatting on their websites.
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