M

Mostafa

Data Engineer & Scraping Specialist

I build production-grade web scrapers, data pipelines, and automation systems. This site documents what I've learned — practical techniques, real project breakdowns, and battle-tested patterns for collecting and processing data at scale.

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12

Resources

2

Projects

3

Learning Tracks

5

Code Examples

4+

hours of content

What You'll Learn Here

Tutorials

7

Step-by-step guides on scraping tools, techniques, and architecture

Guides

3

In-depth references for production-level data engineering skills

Case Studies

1

Production-ready data scraping and pipeline project breakdowns

Comparisons

1

Head-to-head tool comparisons to help you pick the right stack

Featured Content

Tutorial 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

Guide 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.

18 minutes

Open Source Projects

Real Estate Market Data Pipeline

Featured

Automated system collecting and analyzing property listings across multiple platforms, processing 50K+ records daily into structured datasets for market trend analysis

PythonScrapyPostgreSQLDockerRedis

50,000+ records/day 2M+ property records collected

ScraperGuard

Featured

Production-grade observability and reliability layer for web scraping pipelines — detects when scrapers silently break and explains why.

PythonlxmlPydantic v2SQLiteFastAPI

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