Web Scraping & APIs for Data Analysts

Learn to collect real-world data through web scraping and APIs, the two main ways data analysts get data that isn't already in a clean file. You'll go from HTTP and HTML basics to real skills: parsing pages, handling pagination and JavaScript-heavy sites, working with APIs, and automating full data pipelines. Everything builds around one consistent case study, so lessons connect instead of feeling scattered. The course closes with three portfolio projects, price intelligence, job market analysis, and real estate trends, each with a real dataset and a full worked solution ready to add to your portfolio.

Rutvik Acharya

Principal Data Scientist

Atlassian

Loading modules...

What You'll Learn

Send HTTP requests, parse HTML with BeautifulSoup, and scrape both static and JavaScript-rendered pages with Selenium

Work with REST APIs: authentication, pagination, rate limits, and flattening nested JSON into clean tables

Build resilient, production-ready pipelines with error handling, retries, scheduling, logging, and data validation

omplete three portfolio-ready projects: competitor price intelligence, job market analysis, and a real estate market tracker

Who Should Attend

Aspiring data analysts who want to collect their own data instead of relying only on files someone else prepared

Working analysts who want to add scraping and API skills to strengthen their resume and interview readiness

Career changers building a portfolio of real, end-to-end data projects

Anyone comfortable with basic Python who wants a structured, hands-on path into data collection

CERTIFICATION

Certificate of Completion

7 Modules

19 Hours 30 Minutes

41 Lessons

38 Challenges

Language: English

FAQ

FREQUENTLY ASKED QUESTIONS

Basic familiarity with Python is helpful but not required to start. Module 1 begins from first principles, covering how the web works before any coding is introduced, and the pace is designed for a beginner comfortable with general computer use.

You will need Python 3.9 or later along with a few libraries covered in Lesson 1.5, including requests, BeautifulSoup, and pandas. Postman is also used for exploring APIs. All of these are free to install, and the course walks through setup step by step.

The course has 7 modules and 41 lessons, moving from foundational concepts through web scraping, APIs, advanced automation, and building analysis-ready datasets. It closes with 3 full portfolio projects you can add directly to your portfolio.

It depends on the site, the data, and how it is collected. Module 1 covers this in detail, including robots.txt, Terms of Service, rate limiting, and data privacy considerations, so you understand how to make responsible decisions before collecting any data.

Both. Lessons use a consistent running scenario to build skills step by step, and the 3 portfolio projects use realistic, downloadable datasets covering competitor pricing, job postings, and real estate listings, each with specific analysis questions and a full worked solution.

The course covers both in depth. Modules 2 and 3 focus on web scraping, while Module 4 covers REST APIs from authentication through pagination and nested JSON, since most real analyst roles require both skills depending on the data source.

That is exactly what web scraping is for. The course teaches a clear decision framework in Lesson 1.1 for choosing between scraping and APIs, and covers scraping techniques for both static pages and JavaScript-rendered sites using Selenium.

The course is built specifically to be portfolio-ready. The 3 end-to-end projects each include a business problem, a real dataset, specific questions, and a complete worked solution you can show employers as evidence of practical, applied skills.

The course totals approximately 19 hours and 30 minutes across all 7 modules, though the exact pace depends on how much time you spend on the practice exercises and portfolio projects.

Yes, a Certificate of Completion is awarded once you finish the course, which you can add to your resume or professional profiles alongside the portfolio projects you build.

Scroll Up

GET FREE CAREER COUNSELING