How do I update my scraping strategy if Vestiaire Collective implements new anti-scraping technology?

Vestiaire Collective, like many other websites, may implement anti-scraping technologies to protect their data from being scraped. If you notice that your current scraping strategy is no longer effective due to new anti-scraping measures, you'll need to adapt your approach. Here are some strategies you can employ to update your scraping strategy:

1. Analyze the New Anti-Scraping Measures

The first step is to understand what has changed on the website:

  • Use developer tools in your browser to inspect network requests and responses.
  • Look for changes in the HTML structure, JavaScript code, or CSS classes and IDs.
  • Check if the website is now using CAPTCHAs, requiring login, or implementing browser fingerprinting.

2. Adjust Your HTTP Headers

Websites often check for certain HTTP headers to determine if a request comes from a legitimate user or a bot.

import requests

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3',
    # Add other headers as necessary

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

3. Respect robots.txt

Always check the robots.txt file to see if scraping is disallowed for the parts of the site you are interested in. If it is, you should respect it.

4. Use a Headless Browser

Some sites require JavaScript to display content, and a headless browser like Puppeteer (for Node.js) or Selenium can help execute JavaScript like a real browser.

from selenium import webdriver

options = webdriver.ChromeOptions()
driver = webdriver.Chrome(options=options)

# Your scraping code here


5. Rotate IP Addresses and User Agents

If the website is blocking your IP address after a certain number of requests, you may need to rotate your IP addresses using proxies or a VPN service. Additionally, rotating user agents can help mimic different browsers.

6. Implement Delays and Randomized Clicks

Act more like a human user by randomizing click patterns and adding delays between requests.

import time
import random

time.sleep(random.uniform(1, 5))  # Random delay between 1 and 5 seconds

7. Update Scraping Logic

If the site has changed its structure, update your selectors (XPath, CSS selectors) accordingly.

from bs4 import BeautifulSoup

# Assuming 'response' is the HTML content obtained after a request
soup = BeautifulSoup(response.content, 'html.parser')
product_container = soup.select_one('.new-selector-for-product-container')

8. Handle CAPTCHAs

If CAPTCHAs are being used, you might need to use CAPTCHA solving services, but note that this might violate the website's terms of service.

# Example using a CAPTCHA solving service
from python_anticaptcha import AnticaptchaClient, ImageToTextTask

api_key = 'YOUR_API_KEY'
captcha_fp = open('captcha_image.png', 'rb')
client = AnticaptchaClient(api_key)
task = ImageToTextTask(captcha_fp)
job = client.createTask(task)
captcha_solution = job.get_captcha_text()

9. Consider Legal and Ethical Implications

Ensure that you are not violating the website's terms of service or any laws. It is essential to consider the ethical and legal implications of web scraping and adjust your strategy accordingly.


When updating your scraping strategy, it's crucial to be adaptable and considerate of the website's rules and regulations. Be prepared to iterate on your tactics as anti-scraping technologies evolve. It's a continuous process of monitoring, analyzing, and making necessary adjustments. Always prioritize respectful and ethical scraping practices.

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