Back to tools

Naver Place Tag Analyzer

Analyze competitor Naver Place URLs to find the most-used tags

On PC, search your keyword on Naver Map, right-click a business name in the list, and copy the link address to paste here.

Analysis takes about 3-10 seconds.

Enter up to 10 competitor Naver Place URLs (3/10)

Results appear here

Naver Place Tag Analyzer for Competitor Keyword Research

Naver Place lets each business set up to five tags, but figuring out which tags actually help visibility, or what tags competitors are using, is hard to do by hand. The Naver Place Tag Analyzer is a free online tool that reads competitor Naver Place URLs and ranks the tags they use by how often they appear.

Using it is simple. Paste up to ten competitor Naver Place URLs and run the analysis. The tool collects the tags registered on each listing and ranks them by frequency. It supports both individual place URLs and Naver Place search result list URLs, so you can check many competitors at once.

This tool is especially useful for small business owners who manage their own Naver Place listing and need to decide which tags to set. Seeing which tags the top-ranked businesses in the same category and area share in common lets you choose relevant keywords based on data instead of guesswork.

The results show each tag with a frequency bar, and the top five tags can be copied with one click so you can paste them straight into your own Naver Place tag settings. Some listings may fail to parse if their tag data is private or the page structure differs, and those are listed separately as skipped.

The Naver Place Tag Analyzer only reads the public listing pages you provide by URL. It does not auto-search for businesses or crawl at scale, which makes it a lightweight reference tool rather than a bulk scraper.

If you are looking for a free Naver Place tag analyzer, place keyword recommendations, competitor tag analysis, or Naver Place SEO tags, use this tool to quickly check competitor tag rankings and build a tag combination for your own listing based on real data.