★ E-Commerce & Local SEO
Rank Change Anomaly Detector — Statistical detection of sudden changes.
v1.0 documentation
CSV/XLSX inputXLSX export
Quick start
1
Install
pip install -r requirements.txt2
Run
python rank_change_alerter.py --help3
Export
Add --output report.xlsx to save results as a spreadsheet.
Parameters
| Flag | Description |
|---|---|
--input required | Input |
--threshold | Threshold (decimal) |
--output | Output |
python rank_change_alerter.py --helpUse cases
Store audit
Local SEO setup
Client reporting
Run across product and category pages. Identify missing schema, thin descriptions, and faceted navigation issues.
Use for initial local SEO audit and ongoing monitoring. Check NAP consistency, schema markup, and competitor signals.
Export results as professional reports for e-commerce clients. Include specific recommendations with each finding.
Works well with
Combine with other tools for a complete workflow:
Dependencies
Requires: numpy, pandas. All included in requirements.txt.
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