Web Scraping Water Levels in Python

Total study time: 24 hours

How can you use web scraping to collect and visualize dam water levels more efficiently? In this 1-on-1 course, you’ll learn how to extract data from websites, store it in a spatial database, and display it on interactive maps. With expert guidance and hands-on assignments, you’ll master web scraping and data analysis techniques you can apply right away.

Web scraping dam levels in Python

Web scraping is a fast, automated way to collect data from websites. It’s especially useful for tracking dam water levels, where up-to-date insights are critical. With web scraping, you can pull real-time data, process it, and visualize it—no manual searching required.

Python makes this process simple and powerful. You’ll use it to extract, clean, and analyze data with tools like BeautifulSoup and Pandas—two of the most popular libraries for data handling. That’s why Python is a go-to choice for professionals working in water management, GIS, and data analysis.

By automating data collection and visualization, you can quickly generate insights and support smarter decision-making.

What will you learn in this blended learning course?

In this course, you’ll learn how to collect dam level data from websites using web scraping and Python. You’ll start by building a data model and plotting the results on an interactive map using Folium.

Next, you’ll explore how to use Django’s Template Engine to display updated data on your website—without needing Ajax. This makes it easy to create dynamic pages that automatically reflect the latest information.

You’ll also set up a spatial database using PostgreSQL, commonly used for geospatial data. On top of your map, you’ll add a floating dashboard with charts that visualize trends and patterns in water levels.

Why choose this course on web scraping dam levels in Python?

Blended learning gives you the best of both worlds—live instruction and self-paced modules—so you can build real, job-ready skills. In this course, you’ll learn how to gather, process, and visualize dam level data using Python, PostgreSQL, and Django.

We kick things off with a live session where you’ll dive right into real data. With help from experts, you’ll scrape dam levels from websites, load them into a spatial database, and get your data ready for mapping.

Then, in our self-paced modules, you’ll learn key concepts step by step. You’ll explore Python libraries like BeautifulSoup and Pandas, build your database in PostgreSQL/PostGIS, and create interactive maps using Leaflet and Django.

Later, in a second live session, you’ll put everything together. You’ll build a mini dashboard that shows charts and real-time data, and connect your backend to the frontend using Django templates.

A highlight of this course is its real-world workflow. You’ll work through practical water management scenarios and build tools you can use in your own projects right away.

By the end of the course, you won’t just understand the theory—you’ll be able to collect, manage, and visualize data that supports smarter, faster decisions in your field.

Sign up for this
Blended Learning

    Price: €395 (excl. VAT)



    Start:
     2-hour online session


    Self-study:
     Review course materials


    End:
     1-hour online session



    You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

    Learning Outcomes

    After completing this course, you’ll be able to:

    • Use Python to scrape dam level data from websites
    • Store geospatial data in a PostgreSQL/PostGIS database
    • Visualize your data on interactive maps
    • Build a real-time dashboard with charts and map layers
    • Use Django to pass data between the backend and frontend

    More Information?

    Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.

    Frequently Asked Questions

    We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.

    Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.

     

    Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.

    Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.

    After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.

    Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.