This tutorial walks through creating a minimal Node.js crawler that fetches the Douban Top 250 movie page using the built‑in https module, parses the HTML with cheerio, extracts titles, ratings and images, stores the data in an array, and writes the results to a JSON file.
This article explains how to create a lightweight icon management tool by uploading SVG files, converting them to Symbol elements, packaging them into a JavaScript file for the front‑end, and serving the generated iconfont.js from a back‑end endpoint.
This article explains why personalized tech‑news gathering is valuable, proposes a DIY framework for controlling sources, collection, filtering, reading experience and iteration, and demonstrates three concrete Node.js scraping examples—HTML pages, API data, and WeChat public accounts—plus extended thoughts on building a simple product.
The article explains how to create a WeChat Mini Program backend with Tencent Cloud development, use the React‑based Taro framework to build a Japanese sentence helper, consolidate multiple cloud functions via tcb-router, and scrape example sentences with superagent and cheerio, highlighting setup tips and known limitations.
This guide walks you through creating a lightweight Node.js web crawler using the request and cheerio modules, covering preparation, installation, core code, and testing steps, so you can fetch page HTML, parse data, and store results with just a few dozen lines of code.
