Naver Blog Search Scraper (네이버 블로그 검색)
Pricing
from $2.00 / 1,000 scraped posts
Search Naver Blog by keyword and extract every matching post — title, snippet, author, publish date, thumbnails, 내돈내산 flag, and optional full body text, hashtags, likes and comments. Filter by date. Export as JSON, CSV, or Excel.
You can access the Naver Blog Search Scraper (네이버 블로그 검색) 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.
![Naver Blog Scraper — Search + Post Content + Cafe [$1.5💰] avatar](https://images.apifyusercontent.com/9oeB5gdjO1MgskKQKcUYlZ1aUVdbm-WO_PcKwraDjP8/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItZDBzeXF4UDQ2WXAyUU83aUctWHhvVGg3RUl4dS1uYXZlci5qcGVn.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "keywords": ["캠핑"] }9
10# Run the Actor and wait for it to finish11run = client.actor("hgservices/naver-blog-search-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Naver Blog Search Scraper (네이버 블로그 검색) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: