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Google Shopping suggestions for "running shoes"

Google Shopping keeps its own suggestion set, closer to buying intent than web search. This task queries it for a product seed with commercial and alphabet expansions and reports each suggestion's relevance and rank.

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Google Autocomplete Scraper - Keyword Suggestions & Relevance
Google Autocomplete Scraper - Keyword Suggestions & Relevancescrapesage/google-autocomplete-scraper
Suggestion
Query sent
Vertical
Position
+5 fields
Text
Number
Boolean
List
Object

Input

Seed keywords:running shoes
Google verticals:shopping
Expansion modes:commercial+1

Output fields

Suggestion
Query sent
Vertical
Position
Google relevance
Type
Country
Language
Scraped at

How it works

Sign up on Apify or log in

The Google Autocomplete Scraper - Keyword Suggestions & Relevance Actor is ready to run with the inputs already set for "Google Shopping suggestions for "running shoes"". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Shopping suggestions for "running shoes"" task

The Google Autocomplete Scraper - Keyword Suggestions & Relevance Actor will start running based on the input automatically. You can also change all the input fields, like seed keywords, google verticals, and more, to match your specific use case.

Receive the "Google Shopping suggestions for "running shoes"" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as suggestion, query sent, vertical, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Google Shopping suggestions for "running shoes"" task via API.

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