This n8n workflow automates the process of identifying Chrome extensions installed on browsers by scraping LinkedIn pages, checking Google SERP for relevant extension details, and updating a Google Sheet. The workflow begins with a manual trigger for testing, sets a comprehensive list of extension IDs, and retrieves already processed items from a Google Sheet. It then filters out the processed entries and loops through new extension IDs, performing a Google search via the SERP API to find matching extension information. The results are subsequently upserted into a Google Sheet, creating a detailed inventory of extensions monitored through LinkedIn activities. This automation is practical for cybersecurity audits, browser management, or digital footprint analysis, providing a systematic way to track user-installed extensions and their metadata.
Tracking Chrome Extensions via LinkedIn and Google Sheets
Node Count | 6 – 10 Nodes |
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Nodes Used | code, googleSheets, httpRequest, limit, manualTrigger, merge, splitInBatches, stickyNote |
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