Geizhals At

geizhals-at

Geizhals-only lookup skill (Austria) using plain HTTP.

Behavior

• Query Geizhals autocomplete endpoint (/acs) for product candidates.
• Fetch top candidate detail pages.
• Extract:
  • min_price_eur
  • shop
  • offer_count
  • price_confidence + price_source
• Return stable JSON records with schema_version.

Constraints

• No browser automation.
• No JS execution.
• Unofficial integration: HTML patterns can change and break extraction.
• Keep request volume low.

Usage

Run commands from the geizhals-at skill directory.

uv first:

uv run scripts/geizhals.py search "iphone 15" --limit 5

JSON output:

uv run scripts/geizhals.py search "mac mini" --limit 5 --json

Debug + explicit cache dir:

uv run scripts/geizhals.py search "bosch akkuschrauber" --limit 5 --json --debug --cache-dir /tmp/geizhals-cache

Fallback without uv:

python3 scripts/geizhals.py search "iphone 15" --limit 5

Output contract

Each result includes:

• schema_version (currently 1.0)
• name
• detail_url
• min_price_eur (nullable)
• shop (nullable)
• offer_count (nullable)
• price_confidence: high|medium|low|unknown
• price_source: embedded_offer_raw_price|meta_product_price|title_ab_price|none
• error (nullable)

Testing

Run parser tests from the skill directory:

uv run --with pytest python -m pytest tests/test_parsers.py

Fallback:

python3 -m pytest tests/test_parsers.py

Fixtures live in tests/fixtures/.

Known limitations

• Results are Geizhals-only by design.
• Some products may miss a shop or exact cheapest offer if page structure changes.
• If Geizhals rate-limits, the script retries with exponential backoff but can still fail.