Setup and Troubleshooting

Reference for installing dependencies and diagnosing common failures.

Installation

Recommended: uv

cd skills/documentation/research/google-scholar-search
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt

Alternative: standard venv

cd skills/documentation/research/google-scholar-search
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Verify

python3 scripts/google-scholar-search.py --help

Activating the environment

Every shell session requires activating the venv before running the script:

source skills/documentation/research/google-scholar-search/.venv/bin/activate

Troubleshooting

HTTP 429 / rate limit

Google Scholar rate-limits scraping aggressively. If you receive a 429 or the response body is unusually short (~under 1 KB):

1. Wait 60 seconds and retry once.
2. If still blocked, switch to the semantic-scholar MCP (see triage-paper SKILL.md for config).
3. Do not retry in a loop — it worsens and extends the block.

Empty result set on a valid query

A 200 response with zero results may be a silent CAPTCHA redirect. Check response length:

curl -s "https://scholar.google.com/scholar?q=machine+learning" | wc -c

If the byte count is under ~2000, the request was likely intercepted. Treat as a block; see above.

scholarly import error (author search only)

Author profile lookup requires the scholarly library. If it fails to import:

pip install scholarly

If scholarly triggers its own block, use Semantic Scholar’s author API via MCP instead.

Wrong Python version

The script requires Python 3.10+. Check with:

python3 --version

If below 3.8, use mise or pyenv to install a compatible version.