Go to example tasks
Google News suggestions around "electric cars", two levels deep
Runs a seed against Google News suggestions and then feeds every suggestion back in as a new seed, one level deep. A cheap map of how a news topic is being searched right now.
Google Autocomplete Scraper - Keyword Suggestions & Relevancescrapesage/google-autocomplete-scraper
Suggestion
Seed keyword
Query sent
Expansion
+5 fieldsTextNumberBooleanListObject
Input
Seed keywords:electric cars
Google verticals:news
Recursion depth:1
Output fields
Suggestion
Seed keyword
Query sent
Expansion
Modifier
Vertical
Position
Question?
Words
Sign up on Apify01
Create your Apify account to access the Google Autocomplete Scraper - Keyword Suggestions & Relevance.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
