In this article, we will learn how to use Naver Data Lab, which provides various statistical data.

index

Naver Data Lab
search term trends
shopping insights
local statistics
Comment statistics
NAVER Datalab API
Query Trend API (Python)
Using Naver Data Lab
NAVER Data Lab provides search word trends, shopping insights, regional statistics, and comment statistics data classified by period, device, and gender.

To use Naver Data Lab isit the site below

This is the main screen of Naver Data Lab. You can check various data stats in the categories above. You can see how to use it below.

trends in search
Search term trends can provide relative data by period, gender, device, and age for up to five keywords.

search term trends
Simply enter the keywords for Sinsa Station and Seoul Station for a one-year period, and select the entire range to check the resulting value.

Naver Trend
Unfortunately, absolute values ​​are not provided. To use absolute values, you must subscribe to NAVER CLOUD PLATFORM’s Data Box service.

shopping insights
There are “Field Statistics” and “Search Biotechnology Email List Query Statistics” items in Shopping Insight. Let’s take a look below.

field statistics
field statistics
As for field statistics, you can select a field within a large category called shopping to check relative data by age, device, gender, and period. Select a category as above, select a condition, and click Search.

sneaker clicks
This is the data retrieved.

At the top, it provides relative click volume data by period. (Based on the highest value of 100) Below is a graph of PC/mobile, female/male, and age groups to see which group visits the most.

After setting the same conditions as applied in field statistics, we will search the search term statistics by adding the search terms “Nike” and “Adidas”.

Click volume analysis

Provides click volume relative data for each search term. Unfortunately, we do not provide device, gender, or age distributions for keywords.

local statistics
Regional statistics provide “regional interest” and “card usage statistics” data. Let’s see below.

interest by region
interest by region
Popular business seo
In interest by region, search volume data for cities/counties/districts in Korea are classified by industry and provided as relative values. There are 10 types of business categories: life, primary industry, secondary industry, leisure, tourism, company/institution/general place, hobby/entertainment, other service industry, fashion/beauty, and restaurant.

If you check the top data for payment amount in CMO Email List Gangnam-gu above, you can see that Bar is the highest in the pub category.