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Extract structured data from web pages using AI
Passed 9 of 16 test cases with the skill, and 7 of 16 without it.
and 5 more in the full report
6 fixed7 passed either way7 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact endpoint path relative to $GOOSEWORKS_API_BASE used for proxying web data extraction requests?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies /v1/proxy/orthogonal/run. | Missed | Passed |
The instructions your model reads when the skill loads.
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Extract structured data from any web page using AI. Turn messy HTML into clean, organized data.
Uses Olostep, Scrapegraph, or Riveter APIs for AI-powered data extraction.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"olostep","path":"/v1/scrapes","body":{"url_to_scrape":"https://example.com/products"}}'
test cases passed, vs 7 / 16 without
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