Python: Scalable Web Scraping and API Workflows
Python: Scalable Web Scraping and API Workflows, Handling web scraping at scale can be challenging. In this course, Python: Scalable Web Scraping and API Workflows, you’ll learn to build efficient, maintainable web scraping workflows using Requests, BeautifulSoup, and Celery. First, you’ll explore how to fetch web data efficiently using the Requests library while handling headers, sessions, and rate limits. Next, you’ll discover how to parse and extract meaningful information from HTML with BeautifulSoup, handling messy or inconsistent data structures. Finally, you’ll learn how to scale your web scraping tasks using Celery and Redis to process jobs asynchronously and improve performance. When you’re finished with this course, you’ll have the skills and knowledge of scalable web scraping and API integration needed to handle large-scale data extraction efficiently, avoid common pitfalls, and integrate your scraping workflows into production-ready applications.
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What You'll Master in this Course
Course Curriculum19 Lectures
5 sections • 1.4 hours total length
Requirements
- Basic enthusiasm to learn and follow along with lessons
- A computer or mobile device with a modern internet connection
Description
Instructor
Senior Industry Specialist
Specialist in Software Engineering & Algorithms
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.
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