Tutorial
Featured
Beginner
Building Your First Web Scraper with Python
A step-by-step guide to building a working web scraper from scratch using Python, Requests, and BeautifulSoup. No prior scraping experience required.
45 minutes
Resources
Tutorials, guides, and deep dives into data engineering and web scraping
7 tutorials • 3 guides • 1 case study • 1 comparison
Type
Level
Track
Tools
Tags
Guide
Featured
Intermediate
Why Web Scrapers Fail Silently: 7 Failure Modes Every Data Engineer Should Know
The 7 silent failure modes that break production scrapers without triggering errors — and the monitoring framework that catches them.
Case Study Advanced
Building ScraperGuard: Architecture Decisions and Tradeoffs
The 8 major design decisions behind ScraperGuard — library vs. service, observer vs. interceptor, rules vs. ML, dual fingerprinting, fault tolerance, and what I'd do differently.
+2
22 minutes
Part 8 of 8
Requires: Software engineering experience, Familiarity with Python project structure
Code
+1
Guide Advanced
From Scripts to Systems: Designing Production Scraping Infrastructure
Five architecture patterns for reliable scraping — observer vs. interceptor, snapshot baselines, failure classification, composite health scoring, and alerting.
20 minutes
Part 7 of 8
Requires: Production scraping experience, Understanding of distributed systems concepts
Code
+1
Tutorial Intermediate
Monitoring Playwright Scrapers with ScraperGuard
Add data quality monitoring to Playwright scrapers — async context manager, one-shot capture, multi-page workflows, and hybrid Scrapy+Playwright setups.
+1
Tutorial Intermediate
Integrating ScraperGuard with Scrapy: Add Scraper Monitoring in 5 Minutes
Add production monitoring to any Scrapy spider with 2 lines of config — middleware setup, custom signals, per-spider schemas, and troubleshooting.
14 minutes
Part 5 of 8
Requires: Working Scrapy project, Familiarity with Scrapy settings and pipelines
Code
+1
Guide Advanced
DOM Diffing Deep Dive: How to Detect Structural Changes in Web Pages
The complete algorithm for structural change detection — HTML normalization, dual fingerprinting, recursive tree comparison, and CSS selector tracking.
+1
Tutorial Intermediate
Building Schema Validation for Scraping Pipelines: From Type Checks to Drift Detection
Build a complete data validation layer — from Pydantic schemas and batch statistics to statistical drift detection that catches subtle degradation over time.
+1
Comparison Intermediate
Scrapy vs BeautifulSoup: Choosing the Right Python Scraping Tool
A hands-on comparison of Scrapy and BeautifulSoup with real code examples, architecture diagrams, performance benchmarks, and a decision framework to pick the right tool for your project.
25 minutes
Tutorial Beginner
Getting Started with ScraperGuard: Your First Scraper Health Check in 5 Minutes
Install ScraperGuard, define your first data schema, run a health check, and understand the report — step by step.
Tutorial Beginner
Understanding robots.txt: What Every Web Scraper Needs to Know
A beginner-friendly guide to robots.txt — what it is, how to read it, and how to build Python scrapers that respect website crawling rules automatically.
20 minutes
Tutorial Beginner
Respecting robots.txt in Python Web Scrapers: A Complete Guide
Learn how to build ethical web scrapers that respect robots.txt rules with Python. Includes working examples and best practices for responsible data collection.
20 minutes
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