Naver & Coupang CSV Cleaner: Won, Dates, Price Changes
Pricing
$1.00 / 1,000 cleaned rows
Clean Korean won amounts and dates in Naver or Coupang tables, then compare prices over time. $0.001 per cleaned row. Failed rows are free.
You can access the Naver & Coupang CSV Cleaner: Won, Dates, Price Changes 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 "csvText": """상품번호,날짜,가격,배송비10DEMO-01,2024년 3월 5일,\"38,900원\",300011DEMO-01,2024.03.08,\"36,900원\",300012""",13 "keyColumns": ["상품번호"],14 "compareByDateColumn": "날짜",15}16
17# Run the Actor and wait for it to finish18run = client.actor("marktrade/naver-coupang-csv-cleaner").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print(f"💾 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# 📚 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 & Coupang CSV Cleaner: Won, Dates, Price Changes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: