🖼️ Image Scraper with Selenium

A flexible Python script to scrape image URLs from any website using Selenium. Just plug in your target URL and CSS selector, and it will fetch image sources with a headless Chrome browser.

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🚀 Features

• Headless Chrome automation
• Scrapes <img> tags or any image-containing elements
• Works on any site — just update the URL and selector
• Clean and configurable

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🧰 Requirements

• Python 3.7+
• Google Chrome
• ChromeDriver (matching your Chrome version)
• Selenium

📦 Install dependencies

pip install selenium

🧱 Install Chrome & ChromeDriver

Use this helper script or install via package manager:

Ubuntu/Debian:

sudo apt install -y chromium-browser chromium-chromedriver

macOS (Homebrew):

brew install --cask google-chrome
brew install chromedriver

Note: Make sure chromedriver is in your system's PATH. You can verify with:

which chromedriver

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⚙️ Configuration

Update the script with your:

• Target URL
• Image CSS selector (defaults to standard <img> tags)

Example snippet to modify:

search_url = "https://example.com/images"
img_elements = driver.find_elements(By.CSS_SELECTOR, "img")  # or your custom selector

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🧠 Usage

Run the script:

python main.py

It will prompt you for a URL, open it in a headless browser, and return a list of image URLs.

Example:

Enter page URL: https://example.com/gallery
Image 1: https://...
Image 2: https://...
Image 3: https://...

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🛠 Script Overview

def fetch_image_urls(url, selector="img", max_results=3):
    # Your scraping logic here

🔄 Change the selector to customize scraping:

• .photo-class img – nested images
• div.gallery img – within specific containers
• img.thumbnail – specific class-based images

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📁 Project Structure

.
├── main.py      # Main script

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⚠️ Disclaimer

• Be respectful of website terms of service.
• This is for educational or authorized use only.
• Some sites may use lazy-loading or dynamic content (use driver.execute_script() or scroll automation if needed).

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