Contents

Chapter 1

Features

This chapter covers the core features and capabilities of Heatmap Integrator.

Features

  • Generate a self-contained tracking JavaScript snippet (<3KB)
  • Click tracking with element identification (tag, id, class)
  • Scroll depth milestone tracking (25%, 50%, 75%, 90%, 100%)
  • Batch event sending with sendBeacon for reliability
  • Click hotspot analysis with grid-based heatmap data
  • Most-clicked element ranking
  • Device breakdown (mobile/tablet/desktop)
  • Click zone distribution (top/middle/bottom)
  • Session-level scroll depth analysis
  • Configurable sampling rate and throttling
  • Text and JSON report output
  • Python stdlib only — zero pip dependencies

Quick Start

bash
# Generate the tracking snippet
python src/heatmap_integrator.py --generate-tracker --output tracker.html

# Generate with custom config
python src/heatmap_integrator.py --config examples/heatmap_config.json --generate-tracker

# Analyze collected event data
python src/heatmap_integrator.py --analyze examples/events.csv --report

# Scroll depth analysis only
python src/heatmap_integrator.py --analyze examples/events.csv --scroll-depth

# JSON output
python src/heatmap_integrator.py --analyze examples/events.csv --report --format json
Chapter 2

CLI Reference

Follow this guide to get Heatmap Integrator up and running in your environment.

CLI Reference

FlagDescription
--config, -cPath to tracker config JSON
--generate-trackerGenerate tracking JS snippet
--analyzePath to events CSV file to analyze
--reportGenerate full analysis report
--scroll-depthAnalyze scroll depth only
--clicks-onlyAnalyze clicks only
--output, -oOutput file
--format, -fOutput format: text or json
--verbose, -vEnable verbose logging

Configuration

See examples/heatmap_config.json for tracker configuration and examples/events.csv for the expected event data format.

Chapter 3
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Examples

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