Data EngineeringAutomation
Data Scraping Platform
Containerized Python scraping engine with event-driven orchestration on AWS.
Overview
Client Overview
A high-throughput data scraping platform built on Python with Selenium and Beautiful Soup, designed to run as containerized jobs on AWS ECS. We orchestrated job execution via AWS EventBridge and packaged container images through AWS ECR for reliable, repeatable scraping at scale.
Industries
Data EngineeringAutomation
Technologies
PythonSeleniumBeautiful SoupAWS ECSAWS ECRAWS EventBridge
Status
Live & Active
Challenges
The Challenges
1
Scraping a wide variety of target sites with different anti-bot defenses.
2
Running long-lived browser sessions reliably in containerized environments.
3
Scheduling scraping jobs to run on cron-like triggers without manual ops.
4
Keeping container builds reproducible and deployable through ECR.
Solutions
Solutions & Strategies
01
Scraping Engine
- Used Selenium for JS-heavy targets and Beautiful Soup for fast HTML parsing.
- Built modular scrapers per target so adding new sources stays low-effort.
02
Containerization & Delivery
- Packaged scrapers as Docker images and stored them in AWS ECR.
- Deployed and scaled jobs on AWS ECS with isolated task definitions.
03
Event-Driven Orchestration
- Used AWS EventBridge to trigger jobs on schedules and external events.
- Designed retry and dead-letter handling for transient scraping failures.
Results
The Results
✓Key Achievements
- Reliable, repeatable scraping pipeline running in production.
- Containerized jobs scaling elastically on AWS ECS.
- Event-driven scheduling via EventBridge.
- Modular per-target scraper architecture.
★Project Highlights
- Python + Selenium + Beautiful Soup engine.
- AWS ECS-orchestrated container jobs.
- ECR-managed image lifecycle.
- EventBridge-driven scheduling.
Tech Stack
Technologies Used
Scraping
PythonSeleniumBeautiful Soup
Infrastructure
AWS ECSAWS ECRAWS EventBridge