Naver Place Blog Review Scraper 🇰🇷

Scrape blog and cafe reviews from Naver Place (네이버 플레이스 블로그 리뷰).

These are the blog posts and Naver Cafe articles that appear in the "블로그 리뷰" tab on Naver Place. They provide detailed, long-form reviews with photos — much richer than the short visitor reviews.

🚀 Quick Start (3 minutes)

1. Click "Try for free" on the Actor page
2. Paste a Naver Place URL:

   {
     "placeUrls": [
       "https://pcmap.place.naver.com/restaurant/1085956231"
     ],
     "maxReviews": 30,
     "includeFullContents": true
   }
   

3. Click Start — blog reviews with full text appear in the Dataset tab
4. Export as JSON, CSV, or Excel

Tip: Enable buyWithMyMoney to filter only genuine "내돈내산" (non-sponsored) reviews.

✨ Features

• No browser needed — Uses GraphQL API directly, fast and cost-efficient
• Blog + Cafe reviews — Extracts both Naver Blog posts and Naver Cafe articles
• 내돈내산 filter — Filter for independently-written reviews (not sponsored)
• Search within reviews — Find reviews mentioning specific keywords
• Full text extraction — Get the complete blog post content
• Multiple places — Scrape reviews from multiple places in one run
• Proxy support — Use Apify Proxy for reliable scraping at scale

🎯 Use Cases

• Market Research — Analyze what bloggers say about restaurants, cafes, and shops
• Competitive Analysis — Compare blog coverage volume and sentiment between competing businesses
• Influencer Discovery — Find active bloggers who review venues in your category
• 내돈내산 Filtering — Focus on genuine, non-sponsored reviews for authentic customer voice
• Content Marketing — Discover which aspects of a business bloggers highlight most
• SEO Research — Analyze top-ranking blog reviews for keyword and content strategy
• Sentiment Analysis — Feed long-form Korean review text into NLP pipelines
• PR Monitoring — Track new blog mentions of your business or brand

📊 Output Fields

Each review record includes:

Field	Type	Description
reviewId	string	Unique identifier for this blog review
title	string	Blog post title as written by the author
authorName	string	Blog author's public display name
authorHome	string	URL to the author's blog homepage
blogId	string	Naver blog ID (used in blog URLs)
postId	string	Individual blog post identifier
type	string	Source type: blog (Naver Blog) or cafe (Naver Cafe)
typeName	string	Korean label: 블로그 or 카페
url	string	Direct link to read the full blog post
rank	integer	Position in Naver's internal ranking algorithm
contentsPreview	string	First ~500 characters of the post content
fullContents	string	Complete blog post text (when includeFullContents is enabled)
contentsLength	integer	Total character count of the full post
thumbnailUrl	string	Main thumbnail image URL from the blog post
hasNaverReservation	boolean	Whether the author booked via Naver Reservation
placeId	string	Naver Place ID of the reviewed business

⚙️ Input Parameters

Parameter	Type	Default	Description
placeUrls	string[]	—	List of Naver Place URLs or IDs
placeId	string	—	Single place ID (alternative)
maxReviews	integer	100	Max reviews per place (1–200)
buyWithMyMoney	boolean	false	Only "내돈내산" (non-sponsored) reviews
searchQuery	string	—	Search keyword within reviews
includeFullContents	boolean	true	Include full blog text in output
proxyConfiguration	object	—	Apify Proxy settings

Example Input

{
    "placeUrls": [
        "https://pcmap.place.naver.com/restaurant/1085956231",
        "https://pcmap.place.naver.com/cafe/12345678"
    ],
    "maxReviews": 50,
    "buyWithMyMoney": false,
    "includeFullContents": true
}

⚠️ Limitations & Notes

• Max ~100 reviews per place — Naver's maxItemCount caps the blog reviews accessible via API, regardless of the maxReviews setting
• Full text extraction — Adds one extra HTTP request per review; disable includeFullContents for faster runs if you only need previews
• Rate limiting — Automatic retry with exponential backoff (up to 3 retries) on 429/5xx errors
• Cafe reviews — Some Naver Cafe posts may have restricted access depending on the cafe's membership settings
• No login required — All data comes from publicly accessible APIs
• Ranking — The rank field reflects Naver's proprietary ordering, not chronological order

💰 Pricing

$0.50 per 1,000 blog reviews — pay only for the data you receive. Platform usage costs are included at minimal cost.

🔗 Related Actors — Naver Place Suite

• Naver Place Search — Search places by keyword, get 25+ fields per listing
• Naver Place Reviews Scraper — Visitor reviews with star ratings and keywords
• Naver Place Photo Scraper — Business & visitor photos
• Naver Blog Search Scraper — Search Naver blogs by keyword

⚠️ Disclaimer

This Actor is provided for educational and research purposes. Please respect Naver's Terms of Service and use responsibly. The author is not responsible for any misuse of this tool.