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Step-by-step workflow for creating a new scraper source for Tokyo Taiwan Radar
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Planning principles, model selection, and scope rules for the Architect agent
Implementation rules for database migrations, Python scrapers, and Next.js web for the Engineer agent
BaseScraper contract, field rules, and Peatix-specific conventions for the Scraper Expert agent
Scraper test execution rules, output validation criteria, and report format for the Tester agent
BaseScraper contract, field rules, and Peatix-specific conventions for the Scraper Expert agent
Platform rules and field mappings for the 誠品生活日本橋 (eslite spectrum Nihonbashi) scraper
| name | scraper-dev |
| description | Step-by-step workflow for creating a new scraper source for Tokyo Taiwan Radar |
| applyTo | scraper/sources/** |
Guides creation of a new event scraper source for Tokyo Taiwan Radar. Covers the full workflow from generating the source file to registering it in the pipeline and validating dry-run output.
source venv/bin/activate (from repo root)playwright install chromiumscraper/.env populated with SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY, OPENAI_API_KEY, DEEPL_API_KEY# 1. Create the source file
cp scraper/sources/taiwan_cultural_center.py scraper/sources/<source_name>.py
# 2. Register it in the pipeline
# Add to SCRAPERS list in scraper/main.py
# 3. Test without DB writes
cd scraper && python main.py --dry-run --source <source_name>
Source file — create scraper/sources/<source_name>.py:
SOURCE_NAME = "<source_name>" as a class attributescrape() → list[Event] via BaseScrapersource_id to a stable, run-invariant value (URL hash, page slug, etc.)raw_title and raw_description to original scraped text — never overwritestart_date; prepend 開催日時: YYYY年MM月DD日\n\n to raw_descriptioncategory values (see web/lib/types.ts → CATEGORIES)Register — in scraper/main.py:
from sources.<source_name> import <ClassName>
SCRAPERS = [
TaiwanCulturalCenterScraper(),
PeatixScraper(),
<ClassName>(), # ← add here
]
BLOCKING: Do NOT commit the source file without also committing the
main.pyregistration in the same commit. A source file that is not inSCRAPERSwill never run in CI.
Test:
cd scraper && python main.py --dry-run --source <source_name> 2>&1
BLOCKING: Do NOT commit until dry-run exits 0 and logs at least one event. A source that has never been dry-run verified is not ready to merge.
Verify output — every event must have:
start_date populated (not null, not the publish date)raw_title and raw_description non-emptysource_id stable across runs (re-run twice and confirm same IDs)Document — before committing, create these files:
| File | Content |
|---|---|
.github/skills/sources/<source_name>/SKILL.md | Platform profile, field mappings, Taiwan filter, date extraction, troubleshooting |
.github/skills/sources/<source_name>/history.md | Initial implementation decisions and any first-run surprises |
Then update .github/skills/agents/scraper-expert/SKILL.md — add a ## <source_name>-specific section with 3–5 key rules.
Also update research_sources in Supabase: set status → implemented.
See
.github/skills/agents/scraper-expert/SKILL.md→ "Documentation Protocol" for full template.
| Parameter | Type | Required | Description |
|---|---|---|---|
source_name | str | Yes | Snake-case identifier, unique per source |
source_id | str | Yes | Stable dedup key — used for Supabase upsert |
original_language | str | Yes | "ja" / "zh" / "en" |
raw_title | str | Yes | Original scraped title — never translated |
raw_description | str | Yes | Original scraped body — never translated |
start_date | datetime | Yes | Event start; must NOT be the publish/scrape date |
end_date | datetime | No | Same as start_date for single-day events |
category | list[str] | No | Values from canonical list only |
parent_event_id | str | No | Set on sub-events; leave None for top-level |
Before choosing Playwright, check if the site offers a lighter alternative:
| Priority | Method | How to test |
|---|---|---|
| 1 | WordPress REST API | curl -s "https://example.com/wp-json/wp/v2/posts?per_page=1" | python3 -m json.tool |
| 2 | RSS / Atom feed | Look for <link rel="alternate" type="application/rss+xml"> in page <head> |
| 3 | Static HTML (requests + BS4) | curl -s URL | grep -c "<script" — if fewer than ~10 script tags, likely server-rendered |
| 4 | Playwright | Only when JavaScript rendering is required and no API/feed exists |
WordPress REST API and RSS have zero Playwright dependency, run faster in CI, and use far less memory. Prefer them for government/NGO/cultural-institution sites. Example: jposa_ja uses WP RSS; taiwanbunkasai uses static HTML.
| When | Action |
|---|---|
| Scraper is fully tested, dry-run passes, low-risk source | Commit directly to main |
| Scraper needs further validation, depends on pending DB migration, or is large/experimental | Create feat/source-<name> branch, push PR |
| Working across multiple sessions on the same source | Always use a branch to avoid partial commits on main |
After merging a feature branch, set research_sources.status → implemented in Supabase.
# Test a single source (dry-run, no DB writes):
bash .github/skills/agents/scraper-dev/scripts/test-source.sh <source_name>
# Test all sources (dry-run):
bash .github/skills/agents/scraper-dev/scripts/test-source.sh
start_date is null — The scraper fell through all extraction tiers. Check whether the event page structure matches the regex patterns. For TCC, run --dry-run and inspect raw_description for the date string.
source_id changes between runs — Do not use timestamps or random values. Use a hash of the stable URL path or the platform's own event ID.
Playwright timeout — Increase timeout in page.goto(). Some JS-heavy pages need wait_until="domcontentloaded" instead of "networkidle".
Category "culture" in output — "culture" is not a canonical category. Use "senses", "art", or another value from CATEGORIES in web/lib/types.ts.
DeepL quota exceeded — The annotator translates; the scraper should not call DeepL. If you added translation in the scraper, remove it and let annotator.py handle it.