Automated Naver Cafe Mention Monitoring
Every morning, WebRun signs in to Naver Cafe, opens the cafes and boards you follow, finds posts and comments from the last day that mention your brand or your keywords, saves the text and links into a dated Google Drive archive, and posts a Slack digest that separates questions waiting on a reply from general chatter.
How do I monitor Naver Cafe posts about my brand?
WebRun signs in to Naver Cafe every morning, checks the cafes and boards you follow for posts and comments mentioning your brand or keywords, and archives each one with its link in Google Drive. It then posts a Slack digest that puts questions waiting on a reply above general chatter.
- Community questions reach a named owner the same morning
- Every mention is archived with a link you can search later
- Nothing is posted to the cafe without a person writing it
Built for Korean marketing teams · community managers · brand managers · ecommerce sellers · PR teams
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
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WebRun signs in and gets to work
Opens
cafe.naver.comin a real browser with your saved login - no setup, no API keys. -
1
Naver Cafe - find new posts about your brand
cafe.naver.com
WebRun opens Naver Cafe to find new posts about your brand. - Sign in to Naver Cafe and open each cafe you follow
- Go to the boards you nominated and list posts from the last 24 hours
- Search each board for your brand name, product names, and the keywords you gave
- Capture the post title, author, board, time, view count, comment count, and a link for every match
- Read the comments on matching posts and note any direct question aimed at your company
- Never write a post or a comment. WebRun reads the cafe and leaves it untouched
Done when Every matching post and comment from the last day is captured with its link and context.
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2
Google Drive - archive the posts with their links
drive.google.com
WebRun opens Google Drive to archive the posts with their links. - Open your community archive folder in Google Drive and create a dated document for today
- Record each matching post with its cafe, board, author, time, link, and the text you captured
- Group the entries by cafe so the busiest communities are easy to see
- Keep every previous day in the folder so the archive holds a searchable history
- Note the running count of mentions per week at the top of the document
Done when Today's mentions are archived in Drive with links and a weekly count.
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3
Slack - post the digest of what needs a reply
slack.com
WebRun opens Slack to post the digest of what needs a reply. - Post a digest to your community channel with two clear sections
- Put questions and complaints aimed at your company first, with the link and a one-line summary of each
- Follow with general mentions and their view and comment counts so reach is visible
- Name the person who should answer each question, and leave the reply to them
- Link the Drive archive so anyone can read the full text
Done when The community channel has today's digest with questions listed first.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Will it post or comment in the cafe?
No. WebRun reads the boards you nominate and never writes a post, a comment, or a reply. Community questions are listed in the internal Slack digest with a named owner, and a person answers them in their own words.
Which cafes and boards does it check?
Only the cafes and boards you nominate, using the brand and keyword list you give it. Everything else on Naver is ignored, so the digest stays about your community rather than the whole platform.
What if the same post keeps appearing?
It will not. WebRun archives each post by its link and reports only posts and comments new since the previous run, so a busy thread is raised once and then tracked by its comment count.
Related templates
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