This n8n workflow automates the process of scraping Fiverr for user-generated content (UGC) gigs and storing the details in Google Sheets. It starts with a scheduled trigger that runs daily at a set time, then makes an HTTP request to Fiverr’s search results page for ‘UGC’ gigs. Using HTML extraction nodes, it parses the search results to extract key data such as gig title, price, seller name, and URL. Finally, it appends this information as new rows in a Google Sheet, creating a continuously updated database of Fiverr UGC gigs. This workflow is ideal for content creators, digital marketers, or agencies who want to monitor Fiverr gigs regularly for new opportunities, competitor analysis, or market insights.
Automated Fiverr UGC Gigs Scraper and Logger
Node Count | 6 – 10 Nodes |
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Nodes Used | googleSheets, html, httpRequest, scheduleTrigger, stickyNote |
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