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Find rising related queries for a keyword in the US

Export top and rising related queries for air fryer in the United States over the last 12 months, up to 50 rows. Top values are relative indices; rising values are growth percentages. Source availability and counts can change.

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Google Trends Scraper | Keyword Data API
Google Trends Scraper | Keyword Data APIdanthedataman/google-trends-data-api
Keyword
Trending term
Dataset
Date
+24 fields
Text
Number
Boolean
List
Object

Input

Search terms:air fryer
Data to extract:related_queries
Country / region code:US
Time range:today 12-m
Maximum results:50

Output fields

Keyword
Trending term
Dataset
Date
Date (Google label)
Region
Region code
Related query
Top / Rising
Value
Formatted
Scale
Search volume
Growth %
Active
Breakdown queries
Trends URL
Link
Has data
Geo
Time range
Category IDs
Comparison group
Started (epoch)
Ended (epoch)
Epoch
News articles
Window (h)

How it works

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The Google Trends Scraper | Keyword Data API Actor is ready to run with the inputs already set for "Find rising related queries for a keyword in the US". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find rising related queries for a keyword in the US" task

The Google Trends Scraper | Keyword Data API Actor will start running based on the input automatically. You can also change all the input fields, like search terms, data to extract, and more, to match your specific use case.

Receive the "Find rising related queries for a keyword in the US" 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 keyword, trending term, dataset, 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 "Find rising related queries for a keyword in the US" task via API.

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