u/Equivalent-Truth4500

Due to my business needs, I’ve tried quite a few web scraping solutions, here’s my experience, maybe it helps someone else.

 Apify

Apify runs on pre-built "Actors", basically made scrapers for Google, Amazon, and social platforms. If the Actor you need already exists in their store, setup is genuinely plug-and-play. But once you go beyond the library and need something custom, you need to write code. I used Apify for a while, but when I started scraping more pages, the monthly bill jumped pretty fast.

Web Scraper (Chrome extension)
Web Scraper is a free and lightweight browser extension based around the idea of “sitemaps.” You basically define selector paths and let the browser follow those rules to collect data.

It’s best for temporary or lightweight scraping tasks that don’t need to run constantly. There’s no cloud scheduling or anything fancy, but cuz it’s free and easy to learn, a lot of smallbusiness and beginners like it.

Octoparse
Octoparse is more of a visual “point-and-click” scraper. Instead of coding, you interact with the page directly by clicking elements, scrolling, typing, etc., and it records those actions like a real user would. The core idea is basically simulating human behavior inside a browser. You open the built-in browser, click where you want data from, and it builds the workflow for you. They recently launched MCP, I haven’t tried it yet, but with LLMs feel much faster than doing everything manually.

Bright Data
Bright Data is more of an enterprise-style solution for difficult scraping targets. It has dedicated scraping APIs that can deal with anti-bot systems and return structured data directly. Anyone who’s scraped ecommerce sites all knows the worst part usually isn’t collecting the data,  it’s getting blocked, hit with endless CAPTCHAs, or burning proxies. That’s basically the problem Bright Data is built to solve.

Scrapy (Python framework)
Scrapy is probably the most popular open-source scraping framework in Python. It’s built on Twisted async I/O, so it can handle huge numbers of requests very efficiently. What makes it powerful is the modular structure (Spiders, Middlewares, Pipelines). You get very detailed control over downloading, parsing, cleaning, and storing data. The ecosystem is also much better now because it integrates nicely with Playwright for rendering JavaScript-heavy sites and SPAs.

Selenium / Playwright
Selenium and Playwright are technically browser automation tools, but people use them for scraping all the time. They can fully control a browser clicking, scrolling, typing, waiting for elements, handling dynamic content, etc. For modern sites with heavy AJAX loading, infinite scrolling, or complicated interactions, these tools are often the only practical option.

In the end, I think there’s no “best” scraping tool. It really depends on what you’re trying to do. If you just need to occasionally pull some data into a spreadsheet, Web Scraper or Octoparse is probably enough. If you’re doing ecommerce or cross-border business and need stable large-scale collection, Bright Data makes more sense. If you want full technical control and actually learn scraping infrastructure yourself, then Scrapy, Selenium, or Playwright are the better path.

These are just my own experiences after using em, and I’m sure there are still a lot of tools and use cases I haven’t covered. Feel free to share.

I used to think of paid apps the same way I thought of textbooks or notebooks: if I needed them for school, I just kept them around.

But this semester I realized a lot of the apps I pay for are not actually “college essentials” all year. Some are only useful during finals. Some are only useful for one specific class. Some are only useful when I’m working on a group project and everyone suddenly needs PDFs, cloud storage, planning tools, or some kind of design/editing app.

So I started sorting them into three groups:

Permanent: things I genuinely use every week
Semester-only: useful during school, but not during breaks
Panic purchases: things I bought during finals week and forgot about later

It sounds obvious, but this helped me stop treating every small subscription like it was automatically part of my student budget. A $5 or $10 app does not feel like much until there are six of them quietly renewing.

Curious how other students handle this. Do you keep your school-related apps active all year, cancel them during breaks, or just avoid paid tools unless a class absolutely needs them?