Naver Blog Scraper: Search, Posts, Comments & Likes
Pricing
from $1.00 / 1,000 results
Search Naver Blog posts and authors, export blog post listings and profiles, and collect post comments or users who liked a post. Get titles, snippets, dates, author details and reactions for Korean content and influencer research.
You can access the Naver Blog Scraper: Search, Posts, Comments & Likes programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
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 = {9 "mode": "post_search",10 "maxResults": 10,11 "searchQueries": ["μ¬ν"],12 "selection": "sim",13 "postUrls": ["https://blog.naver.com/naverofficial/224385311793"],14 "profileUrls": ["https://blog.naver.com/naverofficial"],15}16
17# Run the Actor and wait for it to finish18run = client.actor("scrapingmonkey/naver-blog-scraper").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print(f"πΎ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")22for item in client.dataset(run.default_dataset_id).iterate_items():23 print(item)24
25# π Want to learn more π? Go to β 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 Scraper: Search, Posts, Comments & Likes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: