Naver Place Multi-Location Review Monitor (네이버 리뷰 관리)
Pricing
from $1.60 / 1,000 location checks
Enter Naver Place locations (ID + your label) and get change rows - new reviews, owner replies added or edited - plus one free summary row per location: unanswered reviews, oldest unanswered age, reply rate, rating, top keywords. For franchises and agencies. No reviewer personal data.
You can access the Naver Place Multi-Location Review Monitor (네이버 리뷰 관리) 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 "locations": [10 {11 "placeId": "1922651675",12 "label": "Demo store 1",13 "group": "Demo client",14 },15 {16 "placeId": "1559904682",17 "label": "Demo store 2",18 "group": "Demo client",19 },20 ],21 "proxyConfiguration": { "useApifyProxy": True },22}23
24# Run the Actor and wait for it to finish25run = client.actor("magenta_courser/multi-location-review-monitor").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")29for item in client.dataset(run.default_dataset_id).iterate_items():30 print(item)31
32# 📚 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 Multi-Location Review Monitor (네이버 리뷰 관리) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: