Google Autocomplete Scraper: Keyword Ideas from 7 Engines

Get real search suggestions for any keyword from 7 autocomplete sources in one run: Google, YouTube, Google Shopping, Bing, Yahoo, DuckDuckGo and Wikipedia. Each seed keyword is expanded with A–Z, 0–9, question words and prepositions. The Actor then shows which ideas appear on several engines, a strong sign of real demand.

Why this one:

• $0.25 per 1,000 suggestions. No start fee, no monthly rent. A typical run ("coffee maker", A–Z + questions, 4 engines) gives about 1,800 suggestions for about $0.45.
• 7 sources in one run. Each engine keeps its own ranking (position), and Google adds its relevance score and suggestion type.
• Cross-engine ideas and top questions are in the SUMMARY record and the run's status message. That makes it ready for content briefs, FAQ sections and AI agents.
• Any language and country (language, country). Question and preposition expansions are available in English, French, Spanish, German, Portuguese and Italian.
• Fast: about 11 seconds for 1,800 suggestions.

Use cases

• SEO keyword research: long-tail ideas and the questions people ask, for blog posts and FAQ sections.
• YouTube topics: what people type into YouTube search, kept separate from Google.
• Amazon/e-commerce copy: Google Shopping suggestions show product-intent phrases ("coffee maker grinder combo", "coffee maker under $50").
• PPC: new keywords and negative-keyword candidates.
• Content and AI pipelines: feed the cross-engine list to an LLM to draft outlines. Pair it with the Google Trends Scraper to check which ideas are growing.

Input

Field	What it does
keywords	Seed keywords.
engines	google, youtube, google_shopping, bing, duckduckgo, yahoo, wikipedia (default: google, youtube, bing, google_shopping).
expansions	seed, alphabet (A–Z), numbers (0–9), questions (how/what/why…), prepositions (for/with/vs/near…). Default: seed + alphabet + questions.
language, country	e.g. en + us, fr + fr, de + de.
maxSuggestionsPerKeyword	0 = no limit.

{
  "keywords": ["coffee maker"],
  "engines": ["google", "youtube", "bing", "google_shopping"],
  "expansions": ["seed", "alphabet", "questions"],
  "language": "en",
  "country": "us"
}

Output

One row per unique suggestion per engine (a real result from 2026-10-03):

{
  "keyword": "coffee maker",
  "engine": "youtube",
  "engineLabel": "YouTube",
  "query": "coffee maker j",
  "modifier": "+j",
  "suggestion": "coffee maker moka pot",
  "position": 11,
  "relevance": 554,
  "suggestionType": "QUERY",
  "language": "en",
  "country": "us",
  "scrapedAt": "2026-10-03T13:53:22.081Z"
}

The status message answers in one line (real run):

Saved 1810 suggestions for 1 keyword(s). "coffee maker": 1234 unique suggestions from 4 engine(s);
on several engines: "coffee maker cup", "coffee maker jar", "coffee maker mug", "coffee maker pot";
top questions: "which coffee maker should i buy", "what coffee maker makes the best coffee", …

For each keyword, SUMMARY holds the per-engine counts, the 15 strongest cross-engine ideas and the top 15 questions. Questions must mention your keyword.

Pricing (pay per event)

Event	Price
Suggestion saved (suggestion)	$0.00025 ($0.25 per 1,000)

Failed requests are never charged. Set Max cost per run to cap your spend, or use maxSuggestionsPerKeyword.

Notes

• DuckDuckGo suggestions come from Bing. In our tests every DuckDuckGo suggestion also appeared on Bing. Pick one of the two unless you need both.
• Google News and Image suggestions aren't offered, because Google currently returns the same list as web search for them.
• Suggestions are personalised by language and country, not by user. Results can change daily.
• Wikipedia returns article titles, useful for entities and topics rather than long-tail phrases.

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