Easy Zoot Data Scraper
3 days trial then $9.99/month - No credit card required now
Easy Zoot Data Scraper
3 days trial then $9.99/month - No credit card required now
Effortlessly extract critical product data from Zoot, the top Czech fashion retailer. Use Zoot Scraper to pull details like prices, sizes, brands, and more, enhancing your e-commerce analysis. Compatible with CZ, SK, and RO domains: zoot.cz, zoot.sk, zoot.ro.
You can access the Easy Zoot Data 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 "startUrls": [
10 "https://www.zoot.cz/katalog/17504/zeny",
11 "https://www.zoot.cz/katalog/17572/muzi",
12 "https://www.zoot.cz/vse-pro-deti",
13 ],
14 "maxItems": 100,
15 "proxyConfiguration": { "useApifyProxy": True },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("dainty_screw/easy-zoot-data-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startEasy Zoot Data Scraper API in Python
The Apify API client for Python is the official library that allows you to use Easy Zoot Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
codemaster devopsActor Metrics
1 monthly user
-
3 stars
>99% runs succeeded
Created in Apr 2024
Modified 2 months ago
