This phase documents the collection of a 100-game sample dataset that served as the foundation for schema design and data quality assessment. The session implemented production-ready collection infrastructure with error handling, progress tracking, and periodic saves ensuring reliable data acquisition from the Steam Web API.
Phase 02 transformed API exploration insights from Phase 01 into operational collection infrastructure. The implemented script demonstrates robust error handling, rate limiting compliance, and data preservation patterns that would later scale to the full 240K+ application dataset. This 100-game sample provided sufficient diversity to identify all major data structures, edge cases, and quality patterns essential for PostgreSQL schema design.
This section provides systematic navigation to all files in this phase directory.
| Document | Purpose | Link |
|---|---|---|
| phase-02-worklog-steam-data-sample.md | Complete session log documenting sample collection implementation and findings | phase-02-worklog-steam-data-sample.md |
| Script | Purpose | Link |
|---|---|---|
| get_steam_data_sample.py | Production collection script with error handling and progress tracking | get_steam_data_sample.py |
| File | Purpose | Link |
|---|---|---|
| .env.example | Template for Steam API key and collection parameters | .env.example |
Visual representation of this phase's organization:
02-steam-data-sample/
├── 📋 phase-02-worklog-steam-data-sample.md # Session log
├── 🐍 get_steam_data_sample.py # Collection script
├── 📄 .env.example # Configuration template
└── 📂 README.md # This file- 📋 phase-02-worklog-steam-data-sample.md - Detailed session log documenting collection infrastructure implementation and sample dataset characteristics
- 🐍 get_steam_data_sample.py - Robust collection script with periodic saves, error handling, and progress monitoring
- 📄 .env.example - Configuration template for API keys and rate limiting parameters
This section establishes connections to related project phases and documentation.
| Category | Relationship | Documentation |
|---|---|---|
| Phase 01: Foundations | Provides API insights and rate limiting parameters used in collection script | ../01-dataset-foundations/README.md |
| Phase 03: Schema Analysis | Analyzes this sample dataset to design PostgreSQL schema | ../03-analyze-steam-data-sample/README.md |
| Steam API Methodology | Documents collection patterns established in this phase | ../../docs/methodologies/steam-api-collection.md |
- Sample Size: 100 successful game records from 179 API calls (56% success rate)
- Data Volume: Comprehensive metadata including descriptions, pricing, reviews, and media assets
- Quality Validation: Diverse content types (games, DLC, demos, videos, software) represented in sample
- Infrastructure: Production-ready collection script with error recovery and progress tracking
- Implemented periodic save mechanism (every 25 records) preventing data loss from API failures
- Robust error handling with detailed logging for success/failure pattern analysis
- Rate limiting compliance with 1.5-second delays maintaining sustainable API usage
- JSON output format preserving complete API response structures for analysis
For users exploring Phase 02:
- Start Here: phase-02-worklog-steam-data-sample.md - Read complete session log for collection insights
- Collection Script: get_steam_data_sample.py - Review production collection infrastructure (requires Steam API key)
- Next Phase: Phase 03: Schema Analysis - See how sample data informed database design
- Previous Phase: Phase 01: Foundations - Understand API exploration that preceded collection
| Field | Value |
|---|---|
| Author | VintageDon - https://github.com/vintagedon |
| Created | 2025-10-06 |
| Last Updated | 2025-10-06 |
| Version | 1.0 |
Tags: phase-02, sample-collection, data-infrastructure, steam-api, json-storage, error-handling