Google Autocomplete Scraper – YouTube, Bing, Amazon
Pricing
from $0.50 / 1,000 keyword suggestions
Google Autocomplete Scraper – YouTube, Bing, Amazon
Turn seed keywords into long-tail ideas from Google, YouTube, Bing and Amazon autocomplete. A-Z and question expansion, any country. Deduplicated with source and position. $0.50 per 1,000 suggestions.
Pricing
from $0.50 / 1,000 keyword suggestions
Rating
0.0
(0)
Developer
Ryu Moon
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
10 hours ago
Last modified
Categories
Security
Limited permissionsShare
Keyword Autocomplete: Google, YouTube, Bing & Amazon
Turn one seed keyword into hundreds of long-tail keyword ideas from four autocomplete engines in a single run. Google, YouTube, Bing and Amazon suggestions with optional A–Z, 0–9 and question expansion, any country and language, deduplicated, with the source and position of every suggestion. No API key or login needed. Export to JSON, CSV, Excel or Google Sheets.
Use with AI agents (MCP, Claude, ChatGPT, Cursor)
Purpose: Expand seed keywords into long-tail keyword and question ideas from Google, YouTube, Bing and Amazon autocomplete, for any country and language.
When to use it
- SEO, content, YouTube or Amazon/Etsy listing keyword research: "give me long-tail keywords for X".
- Question ideas for FAQs and blog posts (
expandQuestions: true). - Comparing what people search for in different countries (
country,language).
When not to use it
- It returns suggestions, not search volumes. For relative popularity over time, use Google Trends Scraper on the best suggestions.
Example input
{"keywords": ["coffee grinder"],"sources": ["google","amazon"],"country": "GB","language": "en","expandQuestions": true,"maxSuggestionsPerKeyword": 200}
Output fields (one dataset item per row): seedKeyword, suggestion, sources (engine and position for each), bestPosition, query, expansion, wordCount, isQuestion, country, language.
Cost: $0.005 per run + $0.0005 per unique suggestion (200 suggestions ≈ $0.11). Cap spend with maxSuggestionsPerKeyword.
Connect it to your agent: add this remote MCP server (Apify's official MCP server, loaded with just this tool):
{"mcpServers": {"keyword-autocomplete-expander": {"url": "https://mcp.apify.com?tools=ryumoon-data/keyword-autocomplete-expander"}}}
Or call it from any agent with the Apify API: POST https://api.apify.com/v2/acts/ryumoon-data~keyword-autocomplete-expander/run-sync-get-dataset-items with the input above as the JSON body. Agents without an Apify account can pay per run with agentic payments (x402, MPP or Skyfire).
What can this keyword tool do?
- 🔤 Four engines at once: Google web search, YouTube, Bing and Amazon autocomplete, side by side.
- 🧩 A–Z and 0–9 expansion: queries
seed a…seed z(andseed 0…seed 9) to surface the long tail the plain seed doesn't show. - ❓ Question expansion:
how seed,what seed,why seed,can seedand more, in English, German, French, Spanish, Italian, Portuguese or Dutch. Good for FAQ sections, blog posts and "People also ask" style content. - ➕ Custom modifiers: add your own prefixes (
best,cheap) and suffixes (for beginners,vs,near me). - 🌍 Country and language: e.g.
GB+en,DE+de. Amazon uses the matching marketplace (amazon.co.uk, amazon.de …). - 🧹 Deduplicated: one row per unique suggestion listing every engine that returned it and its position in each, so you can see which ideas show up everywhere.
Use cases
- SEO: find long-tail keywords and question keywords for content briefs.
- YouTube creators: see what people type into YouTube search for a topic.
- Amazon sellers and Etsy/eBay listings: find buyer-intent product phrases for titles and backend keywords.
- PPC: build keyword and negative-keyword lists.
- Market research: compare what people search for in different countries and languages.
How much does it cost?
This Actor uses pay-per-event pricing. You pay only for these events:
| Event | Price | When it is charged |
|---|---|---|
| Actor start | $0.005 | Once per run (at the default 1 GB memory) |
| Keyword suggestion | $0.0005 | Each unique suggestion saved to the dataset ($0.50 per 1,000) |
Examples (real counts will vary by keyword):
- 1 seed, 4 engines, no expansion (about 30–40 suggestions): about $0.02
- 1 seed, 4 engines, A–Z + questions (about 600 suggestions in our test): about $0.31
- 10 seeds, Google only, A–Z (about 2,000 suggestions): about $1.00
Duplicates are merged before charging, so a suggestion returned by all four engines is charged once. Use Max suggestions per seed keyword or a maximum cost per run in Apify Console to cap spend.
Input
| Field | What it does | Default |
|---|---|---|
keywords (required) | Seed keywords | ["coffee grinder"] |
sources | google, youtube, bing, amazon | all four |
country / language | Two-letter codes | US / en |
expandAlphabet | Add seed a … seed z | false |
expandDigits | Add seed 0 … seed 9 | false |
expandQuestions | Add question words before the seed | false |
customPrefixes / customSuffixes | Your own modifiers | none |
mergeSources | One row per suggestion (on) or per engine per suggestion (off) | true |
excludeSeedKeyword | Drop the seed itself from results | false |
maxSuggestionsPerKeyword | Cost cap per seed, 0 = no limit | 0 |
maxConcurrency, maxRequestRetries, proxyConfiguration | Advanced | 4, 3, none |
{ "keywords": ["coffee grinder", "espresso machine"], "country": "GB", "language": "en", "expandAlphabet": true, "expandQuestions": true }
Output (one row per unique suggestion)
Real row from sample-output.json:
{"seedKeyword": "coffee grinder","suggestion": "coffee grinder walmart","sources": ["google", "bing"],"positions": { "google": 4, "bing": 4 },"bestPosition": 4,"query": "coffee grinder","expansion": "seed","wordCount": 3,"isQuestion": false,"country": "US","language": "en","timesSuggested": 2,"scrapedAt": "2026-11-02T09:10:15.183Z"}
queryis the text that was typed into the engine (e.g.coffee grinder b),expansionsays how it was built (seed,alphabet,question,custom-prefix,custom-suffix).positionsis the 1-based position in each engine's suggestion list;timesSuggestedcounts how often the suggestion appeared across all queries and engines.
Limits (please read)
- No search volumes or CPC. Autocomplete shows what people type, not how often. Use the output as an idea list and check volumes in your SEO tool.
- Suggestions are personalised by engines to location and time; results from the Apify cloud can differ slightly from what you see in your own browser.
- Up to about 10 suggestions per query per engine. That is how many the engines return; use expansion to get more.
- Amazon only for the 13 listed marketplaces. Other countries skip Amazon with a warning.
- Rate limits: very large runs (hundreds of seeds with full expansion) can be slowed by the engines. The Actor retries with back-off; lower Parallel requests or add a proxy if you see failures in the
SUMMARYrecord.
FAQ
Do I need an API key? No. The Actor uses the same public autocomplete endpoints your browser uses when you type into a search box.
Why do some suggestions appear for only one engine? Each engine has its own data. Suggestions returned by several engines (sources with 2+ entries) are usually the strongest ideas.
How do I get more results? Turn on A–Z, 0–9 and question expansion, and add custom prefixes/suffixes.
Is it legal? It only reads public autocomplete suggestions, which contain no personal data. You are responsible for complying with each engine's terms for your use case. Defaults are deliberately gentle (4 parallel requests with retries and back-off).
Integrations
Schedule it weekly per topic and send results to Google Sheets, Slack, a webhook, Zapier or Make with Apify integrations.
Changelog
- 0.1 – first release: Google, YouTube, Bing and Amazon; A–Z, 0–9, question and custom expansion; cross-engine dedupe.