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Zara

Zara

datasaurus/zara
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Scrape products from zara.com websites. All countries. Filter by Category or Product. Fast and efficient.

You can access the Zara 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    "start_urls": [
10        { "url": "https://www.zara.com/uk/" },
11        { "url": "https://www.zara.com/uk/en/woman-jackets-l1114.html?v1=2536936" },
12        { "url": "https://www.zara.com/uk/en/water-and-wind-protection-short-puffer-anorak-p03046241.html?v1=423159609&v2=2419032" },
13    ],
14    "category_filter": ["WOMAN"],
15    "subcategory_filter": ["woman-jackets"],
16    "product_seo_keyword_filter": ["water-and-wind-protection-short-puffer-anorak"],
17    "max_subcategories": 1,
18    "max_results": 10,
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("datasaurus/zara").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Zara API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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  • 1 monthly user

  • 2 stars

  • >99% runs succeeded

  • Created in Jan 2025

  • Modified a day ago

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