Marketing_Gtrends

Analyze Google Trends data for keywords, regions, and timeframes. Generates time series and bar plots.

Features

• Fetch Google Trends data for specific keywords.
• Analyze by geographic region and timeframe.
• Outputs CSV and visualizations.

Requirements

• Python: Python 3.10.9 (likely compatible with Python 3.1x versions).
• Dependencies: Install with:

pip install -r requirements.txt

Configuration

Edit the script to set:

• Keywords: KEYWORDS = ["keyword1", "keyword2", "keyword3", ...]
• Region: GEO options:
  • "IT": Italy (nationwide)
  • "IT-52": Tuscany
  • "IT-62": Lazio
  • "": Worldwide
• Timeframe: TIMEFRAME options:
  • 'now 1-H': Last hour
  • 'now 4-H': Last 4 hours
  • 'now 1-d': Last day
  • 'now 7-d': Last 7 days
  • 'today 1-m': Past 30 days
  • 'today 3-m': Past 90 days
  • 'today 12-m': Past 12 months
  • 'today 5-y': Past 5 years
  • 'all': Since the beginning of available data.

Usage

Run the script:

python marketing.py

Outputs

The EXAMPLE folder contains examples of typical outputs.

• CSV: Trends data (GoogleTrends_Mensile.csv)
• Plots:
  • Line plot (GoogleTrends_Mensile_Plot.png)
  • Bar plot (GoogleTrends_Bar_Plot_Sorted_Averages.png)