Compare 10 sneaker brands on one Google Trends scale
DataRelay
Nike, Adidas, Puma, Asics, Reebok, New Balance, Under Armour, Fila, Vans and Converse – search interest in the US over 12 months on one scale (Google itself compares only 5 terms at once), with interest by state and related queries per brand.
Input
Output fields
Sign up on Apify or log in
The Google Trends API – Interest, Regions & Related Actor is ready to run with the inputs already set for "Compare 10 sneaker brands on one Google Trends scale". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Compare 10 sneaker brands on one Google Trends scale" task
The Google Trends API – Interest, Regions & Related Actor will start running based on the input automatically. You can also change all the input fields, like search terms, comparison, and more, to match your specific use case.
Receive the "Compare 10 sneaker brands on one Google Trends scale" 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 term, geo, time range, 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 "Compare 10 sneaker brands on one Google Trends scale" task via API.

Integrate "Compare 10 sneaker brands on one Google Trends scale" into your workflow
Connect "Compare 10 sneaker brands on one Google Trends scale" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay