Naver Place Photo Scraper 📸

Scrape photos from Naver Place (네이버 플레이스) photo tabs. Extract business photos, visitor review photos, blog post photos, clips, and videos with full metadata.

🚀 Quick Start (3 minutes)

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

   {
     "placeUrls": [
       { "url": "https://m.place.naver.com/restaurant/1472721182/photo" }
     ],
     "maxPhotos": 100,
     "filterBy": "all"
   }
   

3. Click Start — photo URLs and metadata appear in the Dataset tab
4. Export as JSON, CSV, or Excel

Tip: Use filterBy: "visitor" to get only customer-uploaded photos, or "business" for official ones.

✨ Features

• ⚡ Fast — Uses GraphQL API directly, no browser required
• 🔍 Filter by type — Business, visitor, blog, video, clip, or all
• 🤖 AI View — Access Naver's AI-categorized sub-filters (interior, food, exterior, etc.)
• 📄 Pagination — Automatically fetches all photos with cursor-based pagination
• 🔄 Proxy support — Optional Apify Proxy integration for high-volume scraping
• 🏪 Multi-place — Scrape photos from multiple places in one run

🎯 Use Cases

• Menu & Food Analysis — Collect food photos to analyze presentation, portion sizes, and popular dishes
• Competitive Visual Research — Compare photo quality, interior design, and ambiance across competing businesses
• Hotel & Accommodation Research — Gather real visitor photos of rooms, facilities, and surroundings
• Content Curation — Source user-generated visual content for a specific location or category
• Brand Monitoring — Track how customers visually represent your business
• Interior/Exterior Auditing — Use AI View filters to isolate interior, exterior, or signage photos
• Training Data Collection — Gather labeled images (food, interior, etc.) for computer vision models

📊 Output Fields

Each photo record includes:

Field	Type	Description
placeId	string	Naver Place business ID
photoType	string	Source type: ibu (business-uploaded), visitor (review photo), ugc (blog/cafe), clip (short video)
mediaType	string	image or video
originalUrl	string	Full-resolution image URL (directly downloadable)
width	integer	Image width in pixels (when available)
height	integer	Image height in pixels (when available)
date	string	Date the photo was uploaded or associated with
businessName	string	Name of the place this photo belongs to
authorNickname	string	Display name of the person who uploaded the photo
authorId	string	Uploader's Naver user ID
rating	integer	Star rating from the associated review (visitor photos only)
votedKeywords	array	Keywords from the associated review (visitor photos only)
videoUrl	string	Video stream URL (for video/clip types only)

Photo Type Reference

photoType value	Korean label	Description
ibu	업체	Official photos uploaded by the business
visitor	방문자	Photos attached to visitor reviews
ugc	블로그	Photos from blog/cafe posts about the place
clip	클립	Short video clips uploaded by users

AI View Sub-filters

When available, Naver provides AI-categorized sub-filters:

Code	Description
INTERIOR	Interior/ambiance photos
EXTERIOR	Storefront and exterior photos
FOOD	Food and drink photos
MENU_NAME:xxx	Photos of a specific menu item
SCENERY	Scenery and view photos
SIGNAGE	Signage and logo photos

⚙️ Input Parameters

Parameter	Type	Default	Description
placeUrls	array	—	List of Naver Place URLs
placeId	string	—	Single Naver Place ID
maxPhotos	integer	100	Max photos per place (1–10,000)
filterBy	string	"all"	Photo type: all, business, visitor, blog, video, clip
subFilter	string	—	AI View sub-filter code (e.g., INTERIOR, FOOD)
includeFilters	boolean	true	Include available filter categories in output
proxyConfiguration	object	—	Apify Proxy configuration

Example Input

{
    "placeUrls": [
        { "url": "https://m.place.naver.com/restaurant/1472721182/photo" }
    ],
    "maxPhotos": 200,
    "filterBy": "visitor"
}

⚠️ Limitations & Notes

• Max 10,000 photos per place — configurable via maxPhotos (default 100)
• Batch size — API returns ~50 photos per GraphQL request; large runs paginate automatically
• Rate limiting — Automatic retry with exponential backoff (up to 3 retries) on 429/5xx errors
• AI View availability — Sub-filters depend on whether Naver has classified photos for that specific place
• Video URLs — Video stream URLs are temporary and may expire after some time
• No login required — All photos come from publicly accessible APIs
• Speed — ~2–5 seconds per 60 photos (pure API calls, no browser overhead)

💰 Pricing

$0.50 per 1,000 photos — pay only for the photos you extract. 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 Blog Review Scraper — Blog/cafe reviews with full text
• 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.