Naver DataLab Search Trends Scraper
Pricing
from $0.02 / 1,000 trend point extracteds
Compare Korean keyword demand over time with typed Naver DataLab ratios, audience filters, and export-ready time series.
You can access the Naver DataLab Search Trends Scraper 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 Integrations settings 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 "keywordGroups": [10 {11 "name": "AI tools",12 "keywords": [13 "챗GPT",14 "ChatGPT",15 ],16 },17 {18 "name": "Naver AI",19 "keywords": [20 "하이퍼클로바",21 "클로바X",22 ],23 },24 ],25 "startDate": "2026-01-01",26 "endDate": "2026-06-30",27 "timeUnit": "week",28}29
30# Run the Actor and wait for it to finish31run = client.actor("automation-lab/naver-datalab-search-trends-scraper").call(run_input=run_input)32
33# Fetch and print Actor results from the run's dataset (if there are any)34print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])35for item in client.dataset(run["defaultDatasetId"]).iterate_items():36 print(item)37
38# 📚 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 DataLab Search Trends Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: