How can I avoid getting blocked while scraping Vestiaire Collective?

Scraping websites like Vestiaire Collective can be challenging, as they often have mechanisms in place to detect and block scrapers. Understanding that scraping can have legal and ethical implications, it is crucial to ensure that you comply with the website's terms of service and any relevant laws before proceeding.

Here are some general tips to minimize the risk of getting blocked while scraping:

1. Read the robots.txt File

Before you start scraping, check the robots.txt file of the domain (e.g., This file tells you which parts of the site the administrator would prefer bots not to access. Respect these rules to avoid getting blocked.

2. User-Agent Rotation

Websites can identify bots by looking at the User-Agent string. Rotate user agents from a pool of well-known browsers to make your requests appear to come from different users.

3. IP Rotation

Using a single IP address for a large number of requests can lead to blocking. Use a pool of IP addresses and rotate them to distribute the requests. This can be done through proxies or VPN services.

4. Request Throttling

Make requests at a human-like interval. Do not bombard the server with requests. Use sleep intervals between requests to mimic human behavior.

5. Use Headless Browsers Sparingly

Headless browsers like Puppeteer or Selenium can execute JavaScript like a real browser, which is useful for scraping sites that heavily rely on JavaScript. However, they are also more likely to be detected. Use them only when necessary and consider combining them with the other techniques mentioned here.

6. Respect the Website's Structure

Avoid making unnecessary requests. Try to scrape the data as efficiently as possible, accessing only the pages you need.

7. Be Prepared to Handle CAPTCHAs

Some sites will present CAPTCHAs when they detect unusual behavior. You may need to use CAPTCHA solving services or find ways to minimize CAPTCHA triggers.

8. Headers and Cookies

Use session objects to maintain cookies and set headers that make your requests look more like a regular user's browser requests.

9. Referer and Session Data

Some websites check for valid Referer headers and session cookies. Maintain session data across requests.

Python Example with requests

Here's an example of how you might implement some of these strategies in Python using the requests library:

import time
import random
from itertools import cycle
import requests
from fake_useragent import UserAgent

# Rotating User-Agent
user_agent = UserAgent()

# List of proxies to rotate
proxies = ["", "", ""]
proxy_pool = cycle(proxies)

# Base URL
base_url = ""

# Session object
session = requests.Session()
session.headers = {'User-Agent': user_agent.random}

# Get a proxy from the pool
proxy = next(proxy_pool)
session.proxies = {"http": proxy, "https": proxy}

    # Make a request
    response = session.get(base_url)
    # Process the page
    # ...

    # Sleep to throttle requests
    time.sleep(random.uniform(1, 5))

except requests.exceptions.RequestException as e:
    # Log error or rotate proxy/user-agent

# Continue with the next request...

Remember, these tips are for educational purposes. When scraping, you should always follow the website's terms of service and applicable laws. If you're unsure, it's best to contact the website owner for permission to scrape their data.

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