Keyword Suggest Scraper 🔤 (Google/YouTube/Amazon autocomplete)
Pricing
from $0.35 / 1,000 keyword suggestions
Keyword Suggest Scraper 🔤 (Google/YouTube/Amazon autocomplete)
Hundreds of real long-tail keyword ideas from Google, YouTube, Amazon and Bing autocomplete for your seed keywords: what people actually type. Alphabet and question-word expansion, any country and language, with position and question flag. No API key, no login.
Pricing
from $0.35 / 1,000 keyword suggestions
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Tagada Data
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Keyword Suggest Scraper: long-tail keyword ideas from Google, YouTube, Amazon and Bing autocomplete
Type a seed keyword, get hundreds of the exact phrases people really type into the search box. The actor reads the autocomplete dropdown of Google, YouTube, Amazon (14 marketplaces) and Bing, then expands every seed the way you would by hand: the seed followed by a to z and 0 to 9, plus question words (how, what, why, best...) and connectors (vs, for, with...). Every row says which seed, which source and exactly what was typed to surface it.
$0.50 per 1,000 suggestions, platform usage included. No API key, no login, no Google Cloud quota.
Who uses it
- SEO consultants and content marketers: topic clusters, blog and FAQ ideas, question keywords people ask.
- YouTubers and video SEO: what viewers type on YouTube (a different list from Google's), for titles and tags.
- Amazon sellers: what shoppers type in Amazon's search box on your marketplace, for listings and backend keywords.
- PPC teams: long-tail and negative-keyword ideas to feed into a keyword planner.
What you get
One row per distinct suggestion per seed per source (duplicates inside a source are removed):
| Field | Description |
|---|---|
source | google, youtube, amazon or bing |
seedKeyword | The seed this row came from |
suggestion | The suggested phrase, as the source shows it |
queryUsed | The exact text typed into the search box that surfaced it (e.g. espresso machine a, how espresso machine) |
position | Place in the dropdown for that lookup, 1 = top |
depth | 1 = from your seed, 2 = from expanding one of the top suggestions |
wordCount | Number of words in the suggestion |
isQuestion | True when it starts with a question word (how, what, why, wie, comment, cómo...) or ends with ? |
country, language | The country and language the suggestions are for |
searchUrl | The public search page for that suggestion |
capturedAt | When the row was collected |
Example row (real, from a run on 2026-10-16)
{"source": "google","seedKeyword": "espresso machine","suggestion": "espresso machine at home","queryUsed": "espresso machine a","position": 7,"depth": 1,"wordCount": 4,"isQuestion": false,"country": "US","language": "en","searchUrl": "https://www.google.com/search?q=espresso%20machine%20at%20home&hl=en&gl=US","capturedAt": "2026-10-15T23:14:23.200Z"}
How many suggestions will I get
One lookup returns about 10 suggestions, so the expansion is the product. Measured on 2026-10-16 for the seed "yoga mat" with the alphabet plus question words and depth 1: Google 496, YouTube 404, Amazon 380, Bing 467. A narrow seed gives fewer; the run status names every seed and source that ran out before your limit. Depth 2 also expands the first 5 suggestions of each seed and source, which finds many more (set a higher limit to use it). Amazon returns few suggestions for B2B or software topics (for "crm software" only 2).
Input examples
Quick start (this is the default):
{ "seedKeywords": ["espresso machine"], "sources": ["google", "youtube"], "expansion": "alphabet", "maxSuggestionsPerSeed": 100 }
Question keywords for content planning, German market:
{ "seedKeywords": ["kaffeemaschine"], "sources": ["google"], "country": "DE", "language": "de", "expansion": "alphabet+questions", "maxSuggestionsPerSeed": 500 }
Amazon shopper phrases on amazon.co.uk, deep:
{ "seedKeywords": ["yoga mat", "resistance bands"], "sources": ["amazon"], "country": "GB", "expansion": "alphabet", "depth": 2, "maxSuggestionsPerSeed": 1000 }
| Input | Meaning |
|---|---|
seedKeywords | One seed per line, up to 100 |
sources | google, youtube, amazon, bing (default Google + YouTube) |
country | Country of the suggestions; for Amazon it picks the marketplace (US, GB, DE, FR, IT, ES, CA, JP, AU, MX, BR, NL, SE, PL) |
language | Interface language (en, de, fr...). Question words are built in for English, German, French, Spanish, Italian and Portuguese; other languages use the English ones |
expansion | none (about 10 ideas), alphabet (a-z and 0-9), alphabet+questions |
depth | 1 or 2 (2 also expands the first 5 suggestions per seed and source) |
maxSuggestionsPerSeed | Limit per seed and per source, default 300, up to 2,000 |
Pricing
Pay per suggestion delivered, platform usage included:
| Plan | Per 1,000 suggestions |
|---|---|
| Free | $0.50 |
| Bronze | $0.45 |
| Silver | $0.40 |
| Gold | $0.35 |
Plus $0.001 per run to start. Seeds a source has no suggestions for are not charged. Set a maximum charge per run and the actor stops there.
FAQ
Is this search volume data? No. Autocomplete shows what people type, in the order the search engine ranks it, not how many searches there are. Use it to find the ideas, then check volume in your keyword tool.
Why do Google and YouTube give different lists? They are different search boxes. YouTube leans to tutorials, reviews and "vs" videos; Google leans to products, questions and local intent.
Does it use my country and language? Yes: country and language are sent with every lookup. Autocomplete can still vary a little between runs because the sources personalise and refresh their suggestions.
Why is Amazon missing for my country? Amazon has a suggestion service for the 14 marketplaces listed above. For other countries (India, for example) Amazon is skipped and the run status says so, instead of returning an empty list.
A seed returned nothing. The run status says whether the source answered with an empty list (nothing to suggest, usually a very unusual phrase), refused, or was cut by the run time limit. It never reports a refusal as an empty result.
Are results the same as typing in the browser? They come from the same suggestion services the search boxes call. Positions are the dropdown order for that lookup.
Related actors
- YouTube Search Scraper: see which videos rank for the keywords you found.
- YouTube Channel Scraper: study the channels behind those videos.
- Amazon Product Scraper: pull the products and prices behind an Amazon keyword.
- Google Trends Scraper: compare the interest over time of your best keywords.