Keyword Intelligence#

Multi-source autocomplete fetcher — no API keys needed. Pulls real-time suggestions from Google, YouTube, Amazon, and DuckDuckGo.

Quick Usage#

bash

# 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#

FlagDefaultDescription--sources``all``all or comma-separated: google, youtube, amazon, ddg``--lang``deLanguage code: de, en, tr, fr, es, ...--region``deRegion: de, us, tr, gb, ...--expandoffFetches 2nd-level suggestions from Google (base keywords → ~10x results)--jsonoffOutputs 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#

1. Start with a seed keyword and --sources all
2. Identify which source is most relevant for the use case
3. Use --expand on the most promising source for deeper research
4. Export with --json to 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
• --expand only works on Google (most reliable for 2nd-level fetching)