Naver Search Seasonality Monitor Workflow

Created by

Automation Lab

Actor

Naver DataLab Search Trends Scraper

Build a monthly Naver search seasonality dataset for Korean retail categories and automate repeat exports to analytics tools and warehouses.

Try for free

Naver DataLab Search Trends Scraperautomation-lab/naver-datalab-search-trends-scraper

Keyword group

Keywords

Period

Interest ratio

+6 fields

Input

🔎 Keyword groups(required)

Group name(required):Camping+1

Keywords(required)

Start date:2020-01-01

End date:2026-06-30

Time unit:month

Output fields

Keyword group

Keywords

Period

Interest ratio

Time unit

Device

Gender

Age bands

Source URL

Scraped at

How it works

Sign up on Apify or log in

The Naver DataLab Search Trends Scraper Actor is ready to run with the inputs already set for "Naver Search Seasonality Monitor Workflow". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Naver Search Seasonality Monitor Workflow" task

The Naver DataLab Search Trends Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔎 keyword groups, start date, and more, to match your specific use case.

Receive the "Naver Search Seasonality Monitor Workflow" 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 group, keywords, period, 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 "Naver Search Seasonality Monitor Workflow" task via API.