Aeo Prompt Question Finder
Find question-based Google Autocomplete suggestions for any topic.
- Rating
- 4.1 (343 reviews)
- Downloads
- 2,311 downloads
- Version
- 1.0.0
Overview
Find question-based Google Autocomplete suggestions for any topic.
Complete Documentation
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Prompt Question Finder
Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers.
Usage
Run the script from the skill directory:
python3 scripts/find_questions.py "travel itinerary"
Options
--modifiers what how why should— override default modifiers (default: what how why should can does is when where which will are do)--delay 0.5— seconds between requests (use 0.5–1.0 when running many topics in batch)--json— output as JSON for programmatic use--volume— fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain:dataforseo-login/dataforseo-password, or env varsDATAFORSEO_LOGIN/DATAFORSEO_PASSWORD)--location 2840— DataForSEO location code (default: 2840 = US)--lang en— language code for volume lookup (default: en)
Examples
# Default modifiers (what, how, why)
python3 scripts/find_questions.py "protein powder"
# Custom modifiers
python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when
# JSON output
python3 scripts/find_questions.py "travel itinerary" --json
Rate Limits
Google Autocomplete is an unofficial endpoint. Single-topic runs (10 requests) are safe. When running multiple topics in batch or parallel, always use --delay 0.5 or higher to avoid temporary IP blocks.
How It Works
For each modifier, the script queries https://suggestqueries.google.com/complete/search with "{modifier} {topic}" and returns the autocomplete suggestions. No API key required.
Installation
openclaw install aeo-prompt-question-finder
💻Code Examples
python3 scripts/find_questions.py "travel itinerary"
### Options
- `--modifiers what how why should` — override default modifiers (default: what how why should can does is when where which will are do)
- `--delay 0.5` — seconds between requests (use 0.5–1.0 when running many topics in batch)
- `--json` — output as JSON for programmatic use
- `--volume` — fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain: `dataforseo-login` / `dataforseo-password`, or env vars `DATAFORSEO_LOGIN` / `DATAFORSEO_PASSWORD`)
- `--location 2840` — DataForSEO location code (default: 2840 = US)
- `--lang en` — language code for volume lookup (default: en)
### Examples# Default modifiers (what, how, why)
python3 scripts/find_questions.py "protein powder"
# Custom modifiers
python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when
# JSON output
python3 scripts/find_questions.py "travel itinerary" --jsonTags
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