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1886d ago · 9 min read · tldr: Playwright wins new projects. Puppeteer wins Chromium-only tooling. Selenium wins legacy QA matrices. And somewhere around 20 parallel sessions, none of them should be running on your laptop. T
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Apr 17 · 4 min read · 🚀 Introduction Recently, I worked on a real-world problem where I needed to extract a large dataset (~80,000 records) from a web application. At first, it looked like a straightforward web scraping t
Join discussionApr 16 · 16 min read · Enormous amounts of data are constantly generated on the open web. Product prices change, job listings go live and get taken down, news articles are published, and company information gets updated. Fo
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Apr 13 · 7 min read · We often talk about ethics in tech as a moral obligation, but in web scraping, ethics is a functional requirement. If you ignore a site's boundaries, you aren't just being "rude"—you are actively trig
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Apr 9 · 3 min read · Introduction If you're scraping websites using Python, you’ll hit a wall fast: Your IP gets blocked. Most websites monitor traffic and block repeated requests from the same IP address. That’s why deve
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Apr 8 · 6 min read · Generating a web scraper using AI or boilerplate repositories is a great way to prototype. In minutes, you can have a Python script using Playwright that navigates Beautylish.com and extracts product
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Apr 3 · 3 min read · How to turn any Vinted search URL into a dataset Have you ever looked at a perfectly filtered page on Vinted and thought, "I wish I could just download this as a CSV?" Whether you're building a reselling bot, analyzing pricing trends for specific br...
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Apr 2 · 3 min read · A while ago, I found myself doing the same repetitive task again and again. Open a company profile. Copy basic information. Go to the website. Search for phone numbers. Read the content. Write a short
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