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CS Fundamentals for Scrapers

The CS bits that actually show up in scraping at scale.

Optional appendix. Data structures, BFS/DFS, and Big-O, framed entirely around scraping problems: dedup at scale, URL frontiers, crawl graphs, and why a naive list lookup kills a scraper that a set/dict wouldn't. No filler, just the parts you'll feel in real work and in interviews.

~2 weeks part-time · 5 lessons

Lessons

1. CS1

   Why CS Fundamentals Matter for Scrapers

   The four pieces of CS theory you'll actually feel in scraping work, why this is an optional appendix, and what to skip.

   beginner
2. CS2

   Data Structures for Scrapers

   The seven data structures you'll actually reach for in scraping: arrays, hash sets/maps, queues, stacks, heaps, trees, graphs. Each one framed around a real scraping problem.

   beginner
3. CS3

   Algorithms & Traversal: BFS, DFS, and the Searches You'll Reach For

   BFS and DFS are how a crawler walks a site. Plus binary search, sorting, recursion, and the one piece of DP you'll meet in scraping work.

   intermediate
4. CS4

   Big-O in Practice: Why Your Scraper Slows Down

   Time and space complexity, the way it actually bites scrapers. Plus a one-paragraph tour of computability and P vs NP, which is mostly interview trivia.

   intermediate
5. CS5

   How to Actually Study This: One Course + ~50 Problems

   The minimum effective dose for scraper-grade CS fluency. One structured DSA course in Python, then 50 to 100 LeetCode problems, and what to skip.

   beginner