Keyword Intelligence
Multi-source autocomplete fetcher — no API keys needed. Pulls real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo.
Quick Usage
# All sources, default language (de)
python3 scripts/fetch_suggestions.py "keyword"
# Specific sources
python3 scripts/fetch_suggestions.py "keyword" --sources google,youtube
# English / US region
python3 scripts/fetch_suggestions.py "keyword" --lang en --region us
# Expand mode: fetch suggestions of suggestions (10x more keywords)
python3 scripts/fetch_suggestions.py "keyword" --sources google --expand
# JSON output (for piping or further processing)
python3 scripts/fetch_suggestions.py "keyword" --json
Options
| Flag | Default | Description |
|---|---|---|
--sources |
all |
all or comma-separated: google, youtube, amazon, ddg |
--lang |
de |
Language code: de, en, tr, fr, es, ... |
--region |
de |
Region: de, us, tr, gb, ... |
--expand |
off | Fetches 2nd-level suggestions from Google (base keywords → ~10x results) |
--json |
off | Outputs JSON instead of formatted text |
Sources
- Google — Broadest coverage, best for general web search intent
- YouTube — Video content ideas, tutorials, how-to queries
- Amazon — Product/buying intent keywords (works best for product niches)
- DuckDuckGo — Privacy-focused users, tech/dev audience
Workflow
- Start with a seed keyword and
--sources all - Identify which source is most relevant for the use case
- Use
--expandon the most promising source for deeper research - Export with
--jsonto process or display the results
Notes
- No rate limits enforced, but add delays for large batch jobs (the script adds 0.2s between expand calls)
- Amazon suggestions may be empty for non-product keywords — expected behavior
- YouTube returns fewer results for niche/regional keywords
--expandonly works on Google (most reliable for 2nd-level fetching)