Take a closer look at a project where I automated SEO reporting for Karavel's websites. By developing Python scripts linked to Google Search Console, I reduced reporting time by several hours per week and provided dynamic dashboards comparing current and previous years’ performances. A concrete example of how automation boosts strategic decision-making.
Context
At Groupe Karavel, SEO reporting was an essential but time-consuming manual task. Every week, the SEO team had to export data from Google Search Console, copy it into Excel, and compare performance manually between 2024 and 2025. Each brand (Promovacances, Promocroisières, Abcroisière, etc.) used a slightly different file, making cross-analysis and reporting alignment difficult.
This repetitive process had several drawbacks:
Long reporting time for each site (often several hours per week),
Frequent copy-paste errors or missing data,
Lack of dynamic visualizations to support quick decisions,
No centralized or historical tracking of SEO evolution.
Goal : replace this manual workflow with an automated, standardized, and data-driven reporting system, ensuring both time savings and more reliable insights for the SEO team.
My Role
To address this issue, I developed a Python-based automation pipeline that collects, processes, and visualizes SEO performance data automatically. The system integrates several key components:
Google Search Console API → to retrieve weekly data on clicks, impressions, CTR, and average positions,
SEMrush API → to add keyword volume and competitor visibility information,
SQLite database → to store historical SEO data from both 2024 and 2025,
Pandas → to clean, merge, and align datasets,
OpenPyXL → to automatically generate formatted Excel reports with charts and filters.
Each week, the script :
Extracts and updates SEO metrics from all data sources,
Compares the performance between current and previous years,
Creates automated Excel dashboards with key insights,
Synchronizes the final report with Google Sheets for collaborative use.
Bonus : I also added an intelligent color-coded system (green/red) to highlight growth or decline and make trends instantly visible.
The Result
Reporting time reduced by 5 to 6 hours every week.
100% automation of data collection and report generation.
Unified dashboard format for all Promovacances websites.
Fewer human errors and perfectly aligned SEO metrics across years.
Managers now have instant access to weekly, monthly, and year over year, comparisons through automated visual reports.
Goal : The SEO team can now focus on strategic insights, identifying which URLs are gaining or losing traffic, instead of repetitive manual exports.
This project shows how automation transforms SEO reporting from a tedious manual task into a strategic, data-driven process. By connecting APIs, structuring data, and building visual dashboards, I created a system that saves time, improves accuracy, and supports smarter SEO decision-making.
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