Naver Blog and Cafe posts
Returns posts from Naver Blog and Naver Cafe, Korea's main blogging and community services, by keyword search or by post, blog or cafe links. Posts can include full text, images, comments, embedded place details and sponsorship disclosure flags. Useful for understanding Korean consumer discussion, product reviews and local recommendations.
What you get
- Post title, link, author and date
- Full text and HTML content
- Embedded images
- Tags and blog category or cafe board
- Likes and comment count
- View count for cafe posts
- Comments with author, date and reply flag
- Places mentioned in map embeds, with address and coordinates
- External link cards
- Sponsorship, affiliate and self-paid claim flags
- Search keyword and rank in Naver results
What it can do
- Search Naver Blog, Naver Cafe or both by keyword
- Sort search results by relevance or date
- Keep only posts within a date range or recent period
- Collect specific posts, or the recent posts of a blog, cafe or board
- Add full content and comments for each post
- Spot sponsored and affiliate posts from their disclosure text
Limits
- Up to 738 results per run
- Only publicly visible data
- Naver does not publish view counts for blog posts
- Blog post comments are only collected when scrapeBlogCommentsViaBrowser is on
- Comments require full content collection to be enabled
Input options
| Field | What it does |
|---|---|
| searchKeywords | Keywords to search; each is searched separately. |
| directUrls | Naver Blog or Cafe post links, or blog, cafe or board home links. |
| searchType | Search blog, cafe or both. |
| maxResults | Maximum results per keyword per service, or posts per listed blog or cafe. |
| sortBy | Sort by relevance (sim) or date. |
| dateFrom | Only posts on or after this day, or a period such as 7 days. |
| scrapeContent | Open each post for its full content. |
| scrapeComments | Collect comments from each post. |
Example
Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_naver_a directly through the REST API or MCP with an input like this:
{
"directUrls": [],
"searchKeywords": [
"best restaurants"
]
}
How to use it
- Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
- Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server
https://prolevelmax.com/mcpor call the REST API. - Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.
FAQ
How is this source billed?
Per result: $0.0084/result + $0.001/run, min $0.026/run. Your AI quotes the price first, and you are never charged more than the quote.
Do I need a Naver account or API key?
No. You only need a ProLevelMax account. One balance and one connection cover all 157 platforms.
Is the data real-time?
Yes. Every call fetches public Naver data at the time of the request. Only publicly visible content is collected.
More Naver sources
New users receive $1 in sign-up credit after verifying their email (one per person). No card required. Pay per use with no subscription. Top up by card (USD) or Alipay (CNY); Enterprise top-ups from $1,000 by bank transfer.
Start for free