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Naver Brand Search Trends Scraper Example

Compare weekly Korean brand search interest with structured Naver DataLab trend records ready for dashboards and recurring SEO reports.

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Naver DataLab Search Trends Scraper
Naver DataLab Search Trends Scraperautomation-lab/naver-datalab-search-trends-scraper
Keyword group
Keywords
Period
Interest ratio
+6 fields
Text
Number
Boolean
List
Object

Input

🔎 Keyword groups(required)
Group name(required):Samsung+1
Keywords(required)
Start date:2026-01-01
End date:2026-06-30
Time unit:week

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 Brand Search Trends Scraper Example". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Naver Brand Search Trends Scraper Example" 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 Brand Search Trends Scraper Example" 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 Brand Search Trends Scraper Example" task via API.

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Integrate "Naver Brand Search Trends Scraper Example" into your workflow

Connect "Naver Brand Search Trends Scraper Example" with 100+ integrations, or run it via API or MCP.

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