Google Autocomplete Scraper - Keyword Ideas from 7 Engines avatar

Google Autocomplete Scraper - Keyword Ideas from 7 Engines

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Pay per usage

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Google Autocomplete Scraper - Keyword Ideas from 7 Engines

Google Autocomplete Scraper - Keyword Ideas from 7 Engines

Expand seed keywords through Google, YouTube, Google Shopping, Amazon, Bing, DuckDuckGo and eBay autocomplete in one run. One row per unique keyword with how many engines suggest it and its best position in each: a quick demand signal for SEO, YouTube and e-commerce.

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Pay per usage

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Datatrail

Datatrail

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5 days ago

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Turn one seed keyword into hundreds of real search phrases, pulled from the autocomplete of Google, YouTube, Google Shopping, Amazon, Bing, DuckDuckGo and eBay in a single run.

Instead of seven separate lists, you get one row per unique keyword with:

FieldWhat it means
keywordThe suggested phrase (normalized)
enginesCountHow many engines suggest it. A phrase suggested by 6–7 engines is searched everywhere; one suggested only by Amazon or YouTube tells you where the intent is
enginesWhich engines suggest it
bestPositionIts best position in each engine's dropdown (1 = first)
appearancesHow many expansions returned it
words, containsSeed, seed, fromQueriesFor filtering and long-tail work

From a real run, seed standing desk, all 7 engines, expansion all: 1,104 unique keywords in 18 seconds, of which 10 appear in all 7 engines, e.g. standing desk with drawers, standing desk riser, standing desk chair.

Example from a real run (seed coffee, Google, YouTube, Amazon and Bing, expansion alphabet: 1,098 keywords):

{
"keyword": "coffee table",
"engines": ["google", "amazon", "bing", "youtube"],
"enginesCount": 4,
"bestPosition": {"google": 1, "amazon": 1, "bing": 1, "youtube": 1},
"appearances": 7,
"words": 2,
"containsSeed": true
}

Who uses it

  • SEO and content teams: build topic clusters from real queries, prioritized by cross-engine agreement.
  • YouTubers: find what people type on YouTube specifically.
  • Amazon and eBay sellers: discover the product words buyers use, for listings and ads.

How to use it

  1. Add seed keywords.
  2. Pick engines and the expansion (alphabet adds a–z after the seed; questions adds how/what/why/best/vs/for…).
  3. Optional: set Only keywords suggested by at least N engines to keep the strongest ideas.

Language and country change the suggestions; Amazon uses the matching marketplace.

Pricing

Pay per result: one charge per unique keyword (already merged across engines). Use minEngines to pay only for the strongest ideas. Set a maximum cost per run and the Actor stops cleanly when it is reached.

Notes

Uses the public autocomplete endpoints each site serves to its own search box. Suggestions show what people type, not search volume.

Schedule it, use the API or connect it to your tools

  • Schedule daily or weekly runs in Apify to watch how suggestions change for your keywords.
  • Call it from your code with the Apify API (Python, JavaScript or plain HTTP) and get the results as JSON, CSV or Excel.
  • Send results to Google Sheets, Slack, Zapier, Make or a webhook with Apify integrations.

Troubleshooting

  • Few keywords: use the alphabet or all expansion and more engines.
  • Results look like another country: set language and country; Amazon uses the matching marketplace.

FAQ

Is this a keyword research tool? Yes: it gives you the phrases people really type, ranked by how many engines suggest them.

Does it give search volume? No. Autocomplete shows what people type, not how often. Cross-engine agreement is a quick demand signal.

Which engines? Google, YouTube, Google Shopping, Amazon, Bing, DuckDuckGo and eBay.