Keyword Suggestions - Google, YouTube, Bing, Amazon autocomplete

Turn a few seed keywords into hundreds of long-tail keyword ideas from what people actually type into Google, YouTube, Bing, Amazon and DuckDuckGo. Every idea comes ranked by popularity and tagged with search intent, ready to sort in a spreadsheet.

Why this one

• Five engines in one run. Google for web content, YouTube for video topics, Amazon for product and listing keywords, Bing and DuckDuckGo for a second opinion.
• Ranked, not just listed. Each keyword is expanded into dozens of queries (a-z, 0-9, question words, prepositions). appearances counts how many of those queries returned the same idea, which is a strong popularity signal. Results are sorted by it.
• Search intent built in. Every idea is tagged question, comparison, commercial, local or informational, so you can pull FAQ topics, "vs" articles or buying-guide keywords in one filter.
• Deeper long tail on request. Second round re-expands the 10 strongest ideas.
• Clean output. Duplicates across expansions and letter case are merged; the seed itself is left out unless you ask for it.
• You only pay for ideas. Failed lookups are free and listed in RUN_SUMMARY.

Example

Seed embedded c++, Google, alphabet + questions expansion:

rank	suggestion	appearances	intent
1	embedded c++ code example	16	informational
2	difference between c++ and embedded c++	11	comparison
3	embedded c++ interview questions	4	informational
4	is c++ embedded	4	question
6	what is embedded c++ used for	3	question

One seed on one engine with alphabet + questions typically returns 150-400 ideas.

Output

{
    "seed": "usb c hub",
    "engine": "amazon",
    "suggestion": "usb c hub for macbook pro",
    "rank": 3,
    "appearances": 9,
    "bestPosition": 1,
    "foundVia": "f",
    "intent": "informational",
    "wordCount": 6,
    "language": "en",
    "country": "US"
}

Use cases

• SEO and content plans: find long-tail topics and the questions people ask.
• YouTube channels: pick video titles people already search for.
• Amazon sellers: find the phrases shoppers type to fill titles and backend keywords.
• PPC: build keyword and negative-keyword lists fast.

Pricing

Pay per keyword idea. See the Pricing tab. Failed lookups are free.

Use it from code

curl -X POST "https://api.apify.com/v2/acts/dariandanciu~keyword-suggestions-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["standing desk"],"engines":["google","amazon"],"expand":["alphabet","questions"]}'

Good to know

• Autocomplete shows what people type, not exact search volume. Use appearances and rank to prioritize, and a volume tool if you need monthly numbers.
• Suggestions depend on language and country; set both for local markets.
• Amazon suggests only shopping-related phrases, so non-product seeds return few ideas there.

Feedback

Want another engine or a field? Open an issue on the Issues tab.