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nuzlocke-tracker/.beans/nuzlocke-tracker-q5vd--explore-automated-data-sources-for-encounter-data.md
Julian Tabel fae6532b8a Add Game Data Cleanup epic with subtasks
Track the work needed to audit and complete encounter data and route
ordering across all supported games. Covers automated source exploration,
Gen 8+ stub population, ORAS/Let's Go completion, route ordering for
Gen 5+, Gen 1-4 ordering audit, and special encounters review.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10 10:00:14 +01:00

1.4 KiB

title, status, type, created_at, updated_at, parent
title status type created_at updated_at parent
Explore automated data sources for encounter data todo task 2026-02-10T08:58:47Z 2026-02-10T08:58:47Z nuzlocke-tracker-rzu4

Research and evaluate automated or semi-automated options for populating encounter data, especially for games where PokeAPI has no data (Gen 8+).

Potential sources to investigate:

  • PokeAPI CSV/database dumps — the raw data behind PokeAPI may have more than the REST API exposes
  • veekun/pokedex — community-maintained Pokémon database with encounter data
  • Bulbapedia / Serebii — structured wiki data that could be scraped (check terms of use)
  • pkNX / game data extraction — tools that extract data directly from game files
  • Community GitHub repos — search for curated encounter datasets (e.g. for romhack tools, fan wikis)

Goals:

  • Determine which games can realistically be populated via automation vs. manual entry
  • If a viable source is found, prototype a script/tool to import data into the existing seed JSON format
  • Document findings even if no automated approach is viable, so we know what's available

Notes:

  • The existing Go tool (tools/fetch-pokeapi/) could serve as a template for new data fetchers
  • Output format must match the existing {game}.json structure (routes with encounters, children for sub-areas)