This n8n workflow automates the process of monitoring new Upwork job posts related to specific keywords, storing relevant data in Airtable, and notifying a Slack channel about new opportunities. Starting with a scheduled trigger every 30 minutes, it first checks if the current time falls within standard working hours (9 AM to 5 PM). If so, it sets essential parameters, including search URLs for Upwork jobs about Python and ChatGPT, and specifies a proxy country code (US). The workflow then sends a request to an Upwork scraper API (via Apify) to fetch recent job posts. It searches Airtable to identify new entries, avoiding duplicates, and then creates any new posts found into Airtable. Before notifying the team, it reverses the order of posts to send the latest updates first. Finally, it posts detailed job information in a Slack channel, keeping the team informed about relevant freelance opportunities. This automation is ideal for freelancers or agencies actively tracking Upwork for specific projects, ensuring timely updates and efficient data management.
Automated Upwork Job Monitoring and Notification Workflow
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | airtable, code, httpRequest, if, merge, scheduleTrigger, set, slack, stickyNote |
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