Basic Python Web Scraping Techniques and Tips

The author shares a concise summary of Python web‑scraping knowledge gained from small projects, aiming to help readers quickly start scraping tasks.

1. The simplest Python scraper – directly use urllib.request.urlopen(url) or requests.get(url) to fetch a page, as demonstrated with an example of downloading comics from a site.

2. Adding request headers – some sites require headers like User‑Agent or Cookie. Create a header dictionary and include it in the request; the article shows a before‑and‑after comparison with screenshots.

3. Data hidden in the Network panel – if adding headers still yields no data, inspect the browser’s Network tab. Desired data may appear in XHR or JS responses, such as JSON files containing image URLs.

4. Dynamically loaded data – for pages that load content via POST requests (e.g., NetEase Cloud Music), Selenium can be used to render the page and capture the data, though the author does not detail the implementation.

5. Summary – the author links to separate articles for each technique, acknowledges the introductory depth, and encourages continued learning.