AI & AutomationNov 22, 20259 min read

Automating monthly audits with n8n + Python

A workflow concept that turns folders of GA4 / GSC / Screaming Frog screenshots into structured DOCX reports — with a human-review checkpoint before anything ships.

Jhastine MacalinoWordPress · Front-End · Technical SEO · Pampanga, PH

The repetitive part of monthly client audits is not the analysis — it is the transcription. Looking at a Search Console screenshot and typing "clicks: 271, impressions: 180,234, CTR: 0.2%, average position: 28.7" into a report template. Twenty times. Every month. Across five clients.

I am building an n8n + Python workflow that watches a monthly audit folder, classifies new screenshots by platform, extracts visible metrics, compares against last month, and feeds the structured data to a Python DOCX generator. The output is a draft report in the correct client folder.

The human checkpoint

The pipeline ends with a draft, not a published report. Every audit gets a manual review pass before delivery — because SEO metrics, screenshots, and AI interpretations all need a human reading them in context. Automation cuts the boring 80%. The interesting 20% stays mine.

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