You can access the Naver Blog & Cafe Scraper (한국어) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchKeywords": ["강남 맛집"],
10    "directUrls": [],
11    "maxResults": 10,
12    "maxConcurrency": 3,
13    "proxyConfiguration": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("parsebird/naver-blog-cafe-scraper-korean").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
21for item in client.dataset(run.default_dataset_id).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Naver Blog & Cafe Scraper — 게시글 & 댓글 수집 API API in Python

The Apify API client for Python is the official library that allows you to use Naver Blog & Cafe Scraper (한국어) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Naver Blog & Cafe Scraper (한국어) API in JavaScript

Naver Blog & Cafe Scraper (한국어) API through CLI

Naver Blog & Cafe Scraper (한국어) OpenAPI definition

Naver Blog & Cafe Scraper (한국어) API

Naver Map Scraper (한국어)

parsebird/naver-map-scraper-korean

네이버 지도 장소를 키워드 또는 URL로 수집: 상호명, 카테고리, 주소, 전화번호, 영업시간, 메뉴, 편의시설, 이미지, 리뷰까지. JSON, CSV, Excel로 내보내기.

ParseBird

Naver Blog & Cafe Scraper — Korean Word-of-Mouth Search

kdatafactory/naver-blog-cafe-scraper

Search Naver Blog (네이버 블로그) and Naver Cafe (네이버 카페) by keyword and get posts as clean JSON: title, snippet, author, blog/cafe name, post URL, publish date and thumbnail. Korea's word-of-mouth layer, for brand monitoring and PR tracking.

Seok June Park

Naver Place Review Scraper (한국어)

parsebird/naver-place-review-scraper-korean

네이버 플레이스 리뷰 추출: 방문자 리뷰 본문, 별점, 방문일, 방문자 선택 키워드, 사장님 답글, 사진, 네이버 블로그 리뷰까지. JSON, CSV, Excel로 내보내기.

ParseBird

NAVER CAFE URL CRAWLING

naver_crawling/naver-cafe-url-crawling

네이버 카페 글 URL을 입력하여, 제목/내용/이미지/댓글/대댓글을 크롤링 할 수 있습니다.

NAVER CAFE VIRAL

네이버 카페·블로그·뉴스 스크래퍼 | Naver Cafe, Blog & News Scraper

zen-studio/naver-blog-cafe-scraper

Extract Naver Cafe posts, Naver Blog posts and Naver News articles by keyword: full text, author, date, images and comment threads. Point it at a cafe address to go past Naver's 1,000-result limit, about 1,000 posts a minute. News adds publisher, section and reader comments.

Zen Studio

NAVER Blog & Cafe Scraper

parsebird/naver-blog-cafe-scraper

Scrape Naver Blog and Naver Cafe posts by keyword or direct URL: full content, images, tags, category, likes, comments, and place info. Export JSON, CSV, Excel.

ParseBird

Naver Blog Post Scraper (네이버 블로그)

hgservices/naver-blog-post-scraper

Scrape Naver Blog posts by URL or blogger ID — extract full body text and HTML, images, hashtags, category, date, likes, and comment counts. Export as JSON, CSV, or Excel.

Harish Garg

Naver Place Blog Review Scraper

oxygenated_quagmire/naver-blog-reviews

Scrape long-form blog review posts from Naver Place (네이버 플레이스) blog tab. Extract korean blog reviews, 내돈내산 authentic reviews, naver blog review data, korean influencer content, naver cafe reviews. Filter sponsored vs genuine customer reviews.