How to Earn Money with Python: Web Scraping, Platforms, and Practical Tips

The author shares a personal story of losing a job and discovering that Python side projects can generate income, often surpassing a full‑time salary.

Python web scraping is highlighted as a key skill, with a simple four‑step process (target site, page fetch, analysis, storage) and a discussion of common anti‑scraping measures such as IP blocking, encrypted data, login requirements, JavaScript rendering, captchas, and obfuscation.

Several platforms for obtaining Python freelance orders are listed, including CODING, Open Source Crowdsourcing, ZBJ, and Proginn, each with brief descriptions and URLs.

Additional order sources include community groups on QQ, WeChat, and forums, as well as self‑run stores on major e‑commerce sites; the author advises caution against scams and recommends relying on trusted referrals.

Practical advice for handling orders covers understanding pre‑tax compensation, flexible timelines, clear requirement communication, and a simple pricing formula: project hours × daily rate + urgency + margin.

The article also mentions other income avenues such as data‑collection for theses, self‑media (blogs, B‑station, podcasts), and long‑term content creation, emphasizing persistence despite initial low returns.