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Naver Map Scraper by Keyword

This Naver Map scraper by keyword turns a Naver Map place search into a structured CSV export. Import the workflow, replace the sample keyword, and collect store names, categories, open status, ratings, review counts, addresses, nearby transport notes, business hours, phone numbers, conveniences, broadcast appearances, and the source search keyword.

Output

CSV

Fields

12

Paging

Up to 20

Source

Naver Map

Template

Free import

At a glance

Export Naver Map results to CSV

The packaged project starts with the Korean keyword 애견호텔. Change that search term for your own category, neighborhood, or competitor query, then run the same repeatable local workflow.

It is built for market mapping, local SEO audits, lead-list preparation, and Korean place research where a spreadsheet is faster to review than copied map cards.

Who it is for

Local SEO teams

Korean SERP audits

Favorable to scraping

Export competing stores for a service keyword, then compare categories, review counts, addresses, and convenience tags across neighborhoods.

Market researchers

Location scans

Favorable to scraping

Collect Naver Map business listings for restaurants, clinics, pet services, salons, or retail categories before sizing a local market.

Sales operations

Lead prep

Nuanced outcome

Build a reviewed prospect spreadsheet from public place cards, then verify contact numbers and opening hours before CRM import or outreach.


How to use

Run the Naver Map scraper by keyword in five steps

1

Download and import

Download the hosted JSON from the Naver Map Scraper by Keyword template link, then import it into UScraper.

2

Replace the sample keyword

The Navigate block opens a sample Naver Map search for 애견호텔. Replace the encoded keyword with your approved search term.

3

Keep the waits and iframe step

The workflow waits for page load, waits for iframe#searchIframe, then redirects into Naver's generated place-list frame before collecting rows.

4

Scroll, paginate, and collect

The collector scrolls the result list, extracts actual place title cards, filters navigation and service-restriction text, and clicks next when it is available.

5

Export and review the CSV

Structured Export creates naver-map-scraper.csv with headers. Open it in Excel, Sheets, or your BI workspace and inspect empty fields before scaling.

Output preview

What the Naver Map CSV export looks like

naver-map-scraper.csv
CSV - UTF-8 - Create

Column

store_name

Place or business name from the result title card.

Column

category

Naver category such as pet hotel, clinic, cafe, restaurant, or retail store.

Column

open_status

Visible status such as open, closed, holiday, or opening soon.

Column

star_rating

Rating value when Naver exposes it on the list card.

Column

review_count

Visitor review count parsed from the result text.

Column

address

Visible Korean address cleaned from the card body.

Column

nearby_transport

Station or exit note when shown near the listing.

Column

business_hours

Opening-hours snippet when available.

Column

contact_number

Phone number displayed in the place card.

Column

conveniences

Convenience tags such as parking, reservation, delivery, Wi-Fi, or pet-friendly.

Column

broadcast_appearances

TV or broadcast appearance text when visible.

Column

search_keyword

Keyword used for the Naver Map search.

Sample rows

2 of many

store_namecategoryopen_statusstar_ratingreview_countaddressnearby_transportbusiness_hourscontact_numberconveniencesbroadcast_appearancessearch_keyword
멍멍호텔 강남점애견호텔영업 중4.721,284서울 강남구 테헤란로 123역삼역 3번 출구에서 210m매일 09:00-21:0002-555-0188예약,주차,무선 인터넷생방송투데이 반려동물호텔 소개애견호텔
포근한펫하우스반려동물호텔영업 전4.58642서울 마포구 월드컵북로 45홍대입구역 1번 출구에서 480m평일 10:00-20:0002-555-0199예약,반려동물 동반,간편결제애견호텔
Headers included - one row per captured Naver Map place card - sample values are illustrative

For adjacent Korean research workflows, pair this page with the Naver Search Scraper, Naver News Scraper, and Naver Shopping SmartStore Scraper. For broader place datasets, browse the full UScraper template library or install the local desktop app from UScraper download.


Frequently asked questions

Scraping visible Naver Map results can be limited by Naver terms, robots rules, privacy laws, database rights, and local regulations. Keep collection narrow, avoid bypassing access controls or CAPTCHA, respect Naver's service rules, and get legal review before resale, enrichment, or large-scale monitoring.

Before you run

Practical limitations and maintenance

Guardrails for reliable Naver Map exports

Rate limits

Run slowly and avoid parallel place searches

Naver can throttle automated browsing or show service-restriction and CAPTCHA pages. Keep the bundled waits, use narrow keyword batches, and stop when the page asks for human confirmation.

Layout

Iframe and card markup can change

The template depends on Naver's search iframe, place title cards, list scrolling, and next-page controls. Empty CSV rows usually mean the page layout or restriction state needs inspection.

Policy

Treat public place data as governed data

Business listings can include personal data, copyrighted snippets, and platform-specific restrictions. Keep exports purpose-limited and review Naver policies before redistribution or commercial datasets.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]