How do I handle pagination when scraping multiple pages on Vestiaire Collective?

When scraping multiple pages on a website like Vestiaire Collective, it's important to handle pagination correctly to access all the desired data. However, before proceeding, please be aware that web scraping may violate the terms of service of the website and can have legal implications. Always check the website's terms of service and respect robots.txt files to ensure that you are allowed to scrape their data.

Here is a general approach to handling pagination in web scraping, which you can adapt for use on Vestiaire Collective or similar sites:

Python with BeautifulSoup and Requests

One common way to handle pagination in Python is to use the requests library to fetch the content and BeautifulSoup from bs4 to parse it.

import requests
from bs4 import BeautifulSoup

base_url = ""
params = {
    'page': 1,  # Start from the first page
    # Add other necessary parameters here

while True:
    # Make a request to the current page
    response = requests.get(base_url, params=params)
    # Check if the request was successful
    if response.status_code != 200:

    # Parse the response content with BeautifulSoup
    soup = BeautifulSoup(response.content, 'html.parser')

    # Extract data from the current page
    # ...

    # Find the link to the next page, or a way to derive the next page's URL
    # This could be something like an element with class 'next', or simply incrementing the 'page' parameter
    next_page = soup.find('a', {'class': 'next'})
    if next_page:
        params['page'] += 1  # Increment the page number
        break  # No more pages, exit the loop

JavaScript with Puppeteer

In JavaScript, you could use Puppeteer to control a headless browser, which is helpful for scraping JavaScript-rendered content.

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  let currentPage = 1;
  const baseUrl = '';

  while (true) {
    const url = `${baseUrl}?page=${currentPage}`;
    await page.goto(url, { waitUntil: 'networkidle2' });

    // Extract data from the current page
    // ...

    // Check if there's a next page
    const nextPage = await page.evaluate(() => {
      const next = document.querySelector('');
      return next ? true : false;

    if (!nextPage) break; // No more pages, exit the loop

  await browser.close();

Tips for Handling Pagination on Vestiaire Collective

  1. JavaScript-rendered content: If the pagination relies on JavaScript to load content, you may need to use a tool like Puppeteer that can execute JavaScript to scrape the pages correctly.

  2. Rate Limiting: Websites like Vestiaire Collective may have rate-limiting in place. Ensure you're making requests at a reasonable rate to avoid being blocked.

  3. Session Management: When scraping a website, you may need to manage cookies or sessions to maintain state across requests, especially if the site requires a login.

  4. Data Extraction: Once you reach the correct page, you'll need to extract the data you're interested in. This typically involves selecting elements using CSS selectors or XPath and pulling out text, attributes, or other relevant information.

  5. Respect the Site: Remember to scrape responsibly, without causing undue load on Vestiaire Collective's servers. Consider caching pages and reusing data to minimize requests.

  6. Legal Compliance: Always check the site's terms of use and legal policies to ensure you're allowed to scrape their data. Some sites explicitly prohibit scraping, and ignoring such terms could lead to legal consequences or your IP being banned.

Remember, the above examples are generic, and you'll need to tailor them to fit the actual structure and behavior of Vestiaire Collective's website.

Related Questions

Get Started Now

WebScraping.AI provides rotating proxies, Chromium rendering and built-in HTML parser for web scraping