How to Get Keyword Suggestions from Google, YouTube and Amazon Autocomplete
How to Get Keyword Suggestions from Google, YouTube and Amazon Autocomplete Autocomplete is one of the few remaining public windows into what people actually type. Google, YouTube, Amazon and Shopping all complete a seed into long-tail questions, comparisons and misspellings. SEO, App Store optimization and listing copy all benefit from that list — if you can get it in bulk, in the right country,…
Keyword suggestions from Google, YouTube and Amazon autocomplete are a valuable resource for SEO, app store optimization, and listing copy. These platforms provide autocomplete completions for seed terms, revealing long-tail queries, comparisons, and misspellings. This article explains how to access these suggestions in bulk using the Keyword Suggestion Tool on Apify.
Apify offers a simple API-style actor that queries autocomplete suggestions from Google, YouTube, Google Shopping, Amazon, and DuckDuckGo. Optional features include expansions like alphabet, questions, numbers, prepositions, and variations of and . The actor allows recursive depth and country/language filtering.
To get started, create an Apify account (the free plan is sufficient for testing). Provide a list of input URLs, IDs, or search terms, then run the actor. The output can be saved as CSV or JSON on your machine, and a Python snippet is provided for automated reruns or scheduling.
You do not need a Google Autocomplete API key, as the actor does not require one. Begin with a single seed and a single source to understand the output format. The actor is callable from JavaScript and AI agents through the Apify MCP server.
In the Apify Console, open the actor at https://apify.com/veenkes/veenkes-keyword-suggestions. Enter a seed keyword (e.g., "best crm") and choose sources (Google, YouTube, etc.). Select expansions (e.g., A-Z, questions) and set a maximum suggestions limit. Export the results in CSV or JSON format.
The actor's output includes fields like keyword, suggestion, source, query, modifier type, position, level, and scrape timestamp. This structured data can be filtered for specific use cases, such as content calendars for SEO, title and tag language for YouTube, or product phrase completions for Amazon sellers.
Keyword suggestion data is pay-per-result, starting at $0.40 per 1,000 suggestions on the free Apify plan. Pricing varies based on plan and run frequency. For a cost-effective test, limit the input size to inspect the schema.
While the actor is not officially affiliated with Google, YouTube, Amazon, or DuckDuckGo, it provides a practical workaround for accessing autocomplete suggestions. Use the data alongside volume tools for more comprehensive research, and be aware that autocomplete suggestions evolve over time and by location.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
