How to Batch Download Images with Python: A Step‑by‑Step Web Scraping Guide

Introduction

Downloading images one by one is tedious; this guide shows how to batch download images from the website ivsky.com using Python.

Project Setup

Install PyCharm and set up a Python environment. Install the required libraries: pip install requests lxml fake_useragent The fake_useragent package may need to be installed separately with the command above.

Implementation

Define a class TianTangWebsite with an __init__ method, a main method, and helper methods for fetching pages and extracting image URLs.

Capture a realistic User‑Agent from the browser’s developer tools and set it in the request headers.

def main(self):
    for i in range(1, 2):  # page range, adjust as needed
        url = self.url.format(i)
        print(url)

Use formatted URLs with a placeholder for the page number, e.g.:

https://www.ivsky.com/bizhi/1920x1080/index_{}.html

Iterate over the pages, request each page, parse the HTML with lxml, locate image tags, and download the images.

Anti‑Scraping Measures

The script sets custom request headers and rotates the User‑Agent to avoid basic anti‑scraping defenses.

Conclusion

The article demonstrates a basic Python web‑scraping workflow for bulk image downloading, covering environment preparation, library installation, header configuration, URL handling, page iteration, HTML parsing, and download logic, with code examples ready to run.