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Deep dives into web data infrastructure, extraction techniques, and the future of structured data at scale.
155 articles
TL;DR: Maximize Twitter data with expert web scraping. Learn scraping Twitter for sentiment analysis, marketing, and business intel. Comprehensive guide using TypeScript.
TL;DR: To use a proxy with HttpClient in C#, build a WebProxy, attach it to an HttpClientHandler (or SocketsHttpHandler), and pass that handler to the HttpClient constructor. For production, swap manual loops for IHttpClientFactory, add NetworkCredential for authenticated proxies, and wrap calls in retries with Polly so dead IPs do not take your worker down.
TL;DR: Most HTML tables can be scraped with a single line of pandas.read_html. When the table is paginated, JavaScript-rendered, or has merged headers, switch to Requests + BeautifulSoup or a headless browser like Playwright. This guide gives you a decision matrix, working code for all three approaches, and the cleaning steps that turn scraped rows into pipeline-ready data.
TL;DR: Cheerio is a lightweight HTML parser; Puppeteer drives a real Chromium browser. Use Cheerio when the data is already in the raw HTML, Puppeteer when JavaScript renders it, and combine them when a JS-heavy page has many fields to extract per visit.
TL;DR: Browser automation is the practice of driving a real or headless web browser from code so it clicks, types, navigates, and reads pages on your behalf. This guide explains what is browser automation under the hood, compares Selenium, Playwright, Puppeteer, and Cypress, and shows when not to reach for a full browser.
TL;DR: Web scraping collects raw data from public web pages. Data mining analyzes structured data to surface patterns, predictions, and segments. They are different stages of the same lifecycle, and most production systems combine them in a scrape-then-normalize-then-mine pipeline.
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