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README.md

📂 Phase 01: Dataset Foundations

This phase documents the initial exploration of the Steam Web API, establishing the technical feasibility of collecting comprehensive gaming platform data. The session focused on understanding API structure, identifying rate limiting constraints, and validating that the Steam API provides sufficient data richness to support multi-modal database architecture with vector embeddings and graph analysis capabilities.

Overview

Phase 01 represents the project's inception point where systematic API exploration revealed that Steam's official API could provide the data depth needed for advanced analytics. The session established conservative rate limiting parameters (1.5s delays achieving 17.3 requests/minute), documented the API's response structure, and confirmed availability of rich HTML descriptions suitable for NLP and embedding generation. These findings validated the feasibility of building a dataset significantly larger and more analytically capable than existing Steam datasets.


📋 Directory Contents

This section provides systematic navigation to all files in this phase directory.

Key Documents

Document Purpose Link
phase-01-worklog-data-set-foundations.md Complete session log documenting API exploration and feasibility analysis phase-01-worklog-data-set-foundations.md

Scripts

Script Purpose Link
test-steam-api.py Initial API validation script testing Steam Web API endpoints test-steam-api.py

Configuration Files

File Purpose Link
.env.example Template for Steam API key configuration .env.example

🗂️ Repository Structure

Visual representation of this phase's organization:

01-dataset-foundations/
├── 📋 phase-01-worklog-data-set-foundations.md  # Complete session log
├── 🐍 test-steam-api.py                         # API validation script
├── 📄 .env.example                              # Configuration template
└── 📂 README.md                                 # This file

File Descriptions:


🔗 Related Categories

This section establishes connections to related project phases and documentation.

Category Relationship Documentation
Phase 02: Sample Collection Builds upon API insights from Phase 01 to collect 100-game sample dataset ../02-steam-data-sample/README.md
Steam API Methodology Documents the rate limiting and collection strategies established in this phase ../../docs/methodologies/steam-api-collection.md
Work Logs Overview Parent directory containing all 12 development phases ../README.md

Phase Highlights

Key Discoveries

  • API Structure Validation: Confirmed Steam Web API provides comprehensive game metadata including descriptions, pricing, platform support, and media assets
  • Rate Limiting Analysis: Established sustainable rate of 17.3 requests/minute using 1.5-second delays with zero 429 errors
  • Data Richness Assessment: Identified rich HTML descriptions suitable for NLP processing and vector embedding generation
  • Success Rate Patterns: Documented ~56% API success rate due to delisted games, regional restrictions, and content type diversity

Technical Outcomes

  • Validated feasibility of collecting 240K+ applications from Steam catalog
  • Established conservative rate limiting approach preventing API throttling
  • Confirmed data structure supports planned multi-modal database architecture
  • Identified need for JSONB storage to preserve complex nested structures

Getting Started

For users exploring Phase 01:

  1. Start Here: phase-01-worklog-data-set-foundations.md - Read complete session log for context
  2. Try the Script: test-steam-api.py - Run API validation script (requires Steam API key in .env file)
  3. Next Phase: Phase 02: Sample Collection - See how findings informed 100-game sample collection
  4. Methodology: Steam API Collection - Understand systematic collection approach developed from this phase

Document Information

Field Value
Author VintageDon - https://github.com/vintagedon
Created 2025-10-06
Last Updated 2025-10-06
Version 1.0

Tags: phase-01, steam-api, feasibility-study, rate-limiting, api-exploration, project-foundations