Musinsa Scraper ποΈ $0.9/1k
Pricing
from $0.80 / 1,000 results
$0.9/1k π° | Fast β‘οΈ | Quick Support π | Scrape Musinsa category and product pages; get prices, materials, sizes, and ratings. Export JSON or CSV for price monitoring and product research.
You can access the Musinsa Scraper ποΈ $0.9/1k programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
![Shopify & DTC Products [$1π°] Prices Β· Discounts Β· Reviews avatar](https://images.apifyusercontent.com/QfaJGsjLVtrbyz6oTiF_HcFnhYFvU8Qrd_XRJ62fnmk/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItZU9sdkZBN1NKZ09KcFpZS3MtZDhYb2FEZWtWQS1sb2dvLnBuZw.webp){kind=avatar}
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 "productUrls": ["https://global.musinsa.com/us/products/6104960"],10 "categoryUrls": ["https://global.musinsa.com/us/brand/musinsastandard"],11 "usePagination": True,12}13
14# Run the Actor and wait for it to finish15run = client.actor("123webdata/musinsa-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"πΎ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Musinsa Scraper ποΈ $0.9/1k API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: