Can I scrape images of products from Vestiaire Collective?

Scraping images or any content from websites like Vestiaire Collective is a matter that involves both technical and legal considerations. Before proceeding with the technical explanation, let's review the legal aspect.

Legal Considerations

  • Terms of Service: Always review the website's terms of service before attempting to scrape content. Many websites prohibit scraping in their terms, and violating these terms can result in legal action or being banned from the site.
  • Copyright Law: Images on websites are typically copyrighted material. Even if you can technically scrape them, you may not have the legal right to use or redistribute them.
  • Robots.txt: Check the robots.txt file of the website (e.g., to see if scraping is disallowed for certain parts of the site.

If you have determined that scraping images is permissible both legally and according to the website's terms, you can proceed with the technical aspects.

Technical Considerations

To scrape images from a website, you would generally use a combination of HTTP requests to get the webpage content and then parse the HTML to extract the image URLs. After that, you would download the images using the URLs obtained.

Here's an example of how you might do this in Python, using libraries like requests and BeautifulSoup:

import requests
from bs4 import BeautifulSoup
import os

# Specify the URL of the product page

# Make an HTTP request to get the page content
response = requests.get(url)

# Parse the HTML content using BeautifulSoup
soup = BeautifulSoup(response.text, 'html.parser')

# Find all image tags
image_tags = soup.find_all('img')

# Directory to save images
os.makedirs('images', exist_ok=True)

# Loop through the image tags and download the images
for i, image_tag in enumerate(image_tags):
    # Extract the image URL
    img_url = image_tag.get('src')
    if not img_url:

    # Make an HTTP request to download the image
    img_data = requests.get(img_url).content

    # Save the image to a file
    with open(f'images/image_{i}.jpg', 'wb') as file:

Note that the above script is a basic example and assumes that the image URLs are directly accessible from the src attribute of <img> tags. Websites may use different HTML structures or JavaScript to load images dynamically, in which case you might need to use tools like Selenium to handle JavaScript rendering.

For JavaScript, you might use libraries like Puppeteer to control a headless browser:

const puppeteer = require('puppeteer');
const fs = require('fs');
const path = require('path');
const download = require('image-downloader');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('PRODUCT_PAGE_URL');

  // Extract image sources
  const imageSrcs = await page.evaluate(() => {
    const images = Array.from(document.querySelectorAll('img'));
    return => img.src);

  // Download images
  for (const src of imageSrcs) {
    await download.image({
      url: src,
      dest: path.resolve(__dirname, 'images')  // Ensure this directory exists

  await browser.close();

Make sure you have installed Puppeteer and the image-downloader package before running this script:

npm install puppeteer image-downloader

Remember, the scripts provided are for educational purposes and should be adapted to respect the site's scraping policy and legal requirements. Always seek permission where possible and consider ethical implications when scraping content from any website.

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