Naver Place Review Monitor — New Reviews to CSV
Pricing
$2.00 / 1,000 place checks
Monitor public Naver Place pages across up to 10 locations. The first run emits a baseline of recent visitor reviews; later runs emit only newly observed reviews, deduplicated per monitor key. Review rows are exportable as CSV/JSON from the run dataset; each run also writes a per-place summary.
You can access the Naver Place Review Monitor — New Reviews to CSV 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 "placeUrls": [10 "https://m.place.naver.com/restaurant/832363546/review/visitor",11 "https://m.place.naver.com/hairshop/1179250551/review/visitor",12 ],13 "monitorKey": "my-monitor",14}15
16# Run the Actor and wait for it to finish17run = client.actor("royal_niche/naver-place-review-monitor").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-startThe Apify API client for Python is the official library that allows you to use Naver Place Review Monitor — New Reviews to CSV API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: