How to Build a Python Web Scraper for Downloading Movies Step‑by‑Step

This guide walks you through setting up a Python environment, installing required libraries, writing a FilmSky class with request handling, parsing HTML using regular expressions, and saving movie titles and download links, providing a practical example of web crawling for movie sites.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Build a Python Web Scraper for Downloading Movies Step‑by‑Step

Project Background

Downloading movies from sites like "FilmSky" can be cumbersome because files must be fetched one by one and the update status is not obvious. This tutorial demonstrates a more visual way to browse and download movies using Python.

Project Preparation

First, install PyCharm and set up a Python environment (see the linked tutorial for details). The target website URL is:

https://www.ygdy8.net/html/gndy/dyzz/list_23_1.html

Install the required libraries (requests, time, re) via the PyCharm project interpreter.

Project Implementation

Create a FilmSky class with an __init__ method that stores the base URL and request headers, then implement a main method that iterates over pages using a for loop.

Use a URL pattern with a placeholder for page numbers:

https://www.ygdy8.net/html/gndy/dyzz/list_23_{}.html

Send HTTP requests with the requests library; the site uses the GBK charset (detectable from the response header). Add a short time.sleep delay to avoid being blocked.

Parse the returned HTML with regular expressions, locating the <table> rows, then extracting the <a href> attributes that contain the movie detail links.

For each detail page, request the page, extract the actual download link, and clean it up. Store the movie name and download URL in a dictionary.

Optimize the code by centralising the request headers and reusing a helper function for HTTP requests, reducing duplication.

Result

Running the script prints a list of movie titles with corresponding download links, which can be opened directly (using a download manager like Xunlei for faster downloads).

Summary

This article presents a Python web‑scraping solution that visually lists movies from the target site and provides convenient download links, while reminding readers not to overload the server and offering the full source code on request.

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BackendPythonregexWeb Scrapingrequestsmovie downloader
Python Crawling & Data Mining
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Python Crawling & Data Mining

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