How can I scrape and compare product availability on Vestiaire Collective?

Scraping websites like Vestiaire Collective for product availability involves several steps and considerations. Here are the general steps you would follow:

  1. Check the Terms of Service: Before you start scraping, check Vestiaire Collective's Terms of Service or robots.txt file to ensure you're allowed to scrape their site. Scraping without permission may violate their terms and could result in your IP being blocked.

  2. Identify the Data You Need: Determine what information you need, such as product names, prices, availability, sizes, etc.

  3. Choose a Web Scraping Tool: Decide on the tools and libraries you'll use to scrape the website. For Python, popular libraries include requests for HTTP requests and BeautifulSoup or lxml for parsing HTML. For JavaScript, you might use Puppeteer or Cheerio.

  4. Write the Scraper: Create a script that sends requests to the website and parses the HTML response to extract the data you need.

  5. Handle Pagination: If the products are listed across multiple pages, you'll need to handle pagination in your script.

  6. Deal with JavaScript-Rendered Content: If the website uses JavaScript to render content, you might need a headless browser like Selenium or Puppeteer to execute the JavaScript and access the content.

  7. Respect the Website: Make sure your scraper is polite. Don't send too many requests in a short period, and try to mimic human behavior to avoid being detected and blocked.

  8. Store and Compare Data: Save the scraped data and implement logic to compare product availability based on your criteria.

Below is a simple example in Python using requests and BeautifulSoup. Note that this is a proof of concept and may not work if Vestiaire Collective's website structure changes or if they employ anti-scraping measures.

import requests
from bs4 import BeautifulSoup

# Replace `product_url` with the actual URL of the product page you want to scrape
product_url = ''

headers = {
    'User-Agent': 'Mozilla/5.0 (compatible; YourBot/1.0; +'

response = requests.get(product_url, headers=headers)

if response.status_code == 200:
    soup = BeautifulSoup(response.text, 'html.parser')

    # You need to inspect the webpage to find the correct class or id for the product availability element.
    # This is just an example and the actual class or id will likely be different.
    availability = soup.find('div', class_='product-availability-class')

    if availability:
        print('Product is available')
        print('Product is not available')
    print('Failed to retrieve the webpage')

# You would need additional logic to store the availability status and compare it over time.

And here is a basic example using JavaScript with Puppeteer:

const puppeteer = require('puppeteer');

(async () => {
    const browser = await puppeteer.launch();
    const page = await browser.newPage();
    await page.goto('', {
        waitUntil: 'networkidle2'

    // Again, you need to check the actual selectors on the website
    const availability = await page.evaluate(() => {
        const selector = document.querySelector('.product-availability-class');
        return selector ? selector.innerText : null;

    if (availability) {
        console.log('Product is available:', availability);
    } else {
        console.log('Product is not available');

    await browser.close();

Remember that web scraping can be legally and ethically controversial, and it's crucial to do it responsibly and within the boundaries of the law and the website's terms. If you're planning to scrape a website regularly or at scale, it's a good practice to contact the website owner and ask for permission or look for an official API that provides the data you need.

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