Bottega Veneta Product Scraper

Overview

Scrapes Bottega Veneta luxury fashion products with prices, descriptions, and images. Supports direct URLs.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Captures images and media URLs
• Supports direct URL input for targeted scraping
• Control output volume with configurable result limits

Use Cases

• Monitor - Monitor luxury goods pricing across retailers
• Track - Track product availability and exclusive releases
• Build - Build luxury market intelligence databases
• Analyze - Analyze pricing trends in the premium segment

Input Parameters

Parameter	Type	Description	Default
startUrls	array	Category or product pages to scrape	[...]
maxItems	integer	Maximum number of products to scrape	100
proxyConfiguration	object	Proxy configuration for bypassing rate limits	{...}

Output Example

Each result contains structured data like this:

{
  "name": "Bottega Veneta Product Sample Item",
  "price": 29.99,
  "sku": "SKU-12345",
  "category": "Standard",
  "description": "Detailed description of the item...",
  "url": "https://example.com/item/12345",
  "imageUrl": "https://example.com/images/sample.jpg"
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the Bottega Veneta Product Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~bottegaveneta-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/bottegaveneta-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect Bottega Veneta Product Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration