Naver Blog Rank Tracker (네이버 블로그 순위)
Pricing
from $2.40 / 1,000 keyword checkeds
Enter keywords and your Naver blog IDs or post URLs; get each blog's or post's rank in the Naver Blog search tab (top 30 by default, up to 1,000), with rank change since your last run. Optional full ranked list.
You can access the Naver Blog Rank Tracker (네이버 블로그 순위) 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.
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 "keywords": ["제주 카페"],10 "myBlogs": ["jejudo_official"],11 "maxRank": 30,12 "proxyConfiguration": { "useApifyProxy": True },13}14
15# Run the Actor and wait for it to finish16run = client.actor("magenta_courser/naver-blog-rank-tracker").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 Rank Tracker (네이버 블로그 순위) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: