Keyword Trend Forecaster
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⚲ Keyword Research & SERP

Keyword Trend Forecaster — Forecast keyword interest using time-series on GSC data.

v1.0 documentation

CSV/XLSX inputXLSX export
keyword_trend_forecaster.py50 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python keyword_trend_forecaster.py --help
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--input requiredInput
--keywordFilter by keyword
--periodsPeriods (integer)
--outputOutput
help
python keyword_trend_forecaster.py --help
Use cases
Keyword strategy
Client research
Competitor intelligence

Run before creating content. Use the output to plan which terms to target, group into clusters, and prioritize by difficulty. Export to XLSX and share with your content team.

Deliver keyword research as a paid service. Run the tool on a client's niche, export results, and present clusters as a content roadmap. Charge $100-300 per research package.

Analyze what keywords competitors rank for that you're missing. Feed the output into your content calendar to close gaps systematically.

Dependencies

Requires: numpy, pandas. All included in requirements.txt.

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