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Fashion United Marketplace Scraper

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Fashion United Marketplace Scraper

Fashion United Marketplace Scraper

newbs/fashion-united-marketplace-scraper
Try for free

1 day trial then $29.00/month - No credit card required now

"Discover the latest trends with the Fashion-United Marketplace Scraper! Seamlessly aggregate clothing products from global fashion hubs. With proxy support & detailed output, navigate the vast fashion marketplace effortlessly. Elevate your fashion sourcing today!"

You can access the Fashion United Marketplace Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "category": "",
10    "country": "United states",
11    "product": "",
12    "numberOfResults": 10,
13    "proxy": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("newbs/fashion-united-marketplace-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Fashion United Marketplace Scraper API in Python

The Apify API client for Python is the official library that allows you to use Fashion United Marketplace Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Oct 2023

  • Modified a year ago