I’m looking for assistance in developing a personalized overview of my calendar data using Python. My calendar is filled with many recurring events that take place on various dates throughout the year.
What I aim to do is categorize all events by their names and display all the dates when each event happens. Currently, I have to manually look for each event name, which is quite time-consuming when I have a long list of calendar entries.
Here’s the format I hope to achieve:
Meeting A
- Feb 5, 2022
- Apr 20, 2022
- Jun 10, 2022
Workshop B
- Jan 25, 2022
- May 15, 2022
- Oct 8, 2022
Training C
- Mar 3, 2022
- Jul 18, 2022
- Nov 22, 2022
Could anyone guide me on how to implement this using the Google Calendar API? Any examples of code or advice would be greatly appreciated.
I encountered a similar challenge and found a solution that worked effectively. Begin by utilizing the Google Calendar API to collect all events within your specified date range. Ensure you set up proper authentication, then use the events().list() method with the appropriate timeMin and timeMax parameters to retrieve events for the year.
Once you have the data, construct a dictionary where each event summary is a key, and its corresponding dates are stored in a list. While processing each event, focus on extracting the event summary and the respective start date, appending it to the corresponding summary’s list.
Remember to consider how all-day events may differ in date formatting compared to timed ones. It’s also important to standardize your event names to avoid issues with duplicates, such as distinguishing between “Weekly Standup” and “weekly standup.” Lastly, handle pagination effectively by using the nextPageToken to ensure no events are omitted.
You could write Python scripts for the Google Calendar API, but there’s a way cleaner approach that doesn’t involve any coding.
I’ve handled similar calendar reporting at work. Writing API calls, dealing with pagination, managing auth tokens, and formatting data gets messy quick. Plus you’re stuck maintaining that script whenever Google changes things.
Better solution: set up an automated workflow that pulls your calendar data, groups events by name, sorts dates, and spits out exactly what you need. You can run it weekly and have it email you the summary or dump it into a Google Sheet.
The best part? You set it up once through a visual interface instead of debugging Python. No OAuth headaches, no rate limits, no manually parsing JSON responses.
I use this for our team’s recurring meeting reports and it saves hours compared to custom scripts. The workflow handles all the API mess behind the scenes while you just configure what data you want and how to format it.
Had this exact problem with quarterly reviews across multiple departments. Here’s what saved me tons of time: get your data structure right from the start. Once you’ve got your Google Calendar API credentials, use collections.defaultdict(list) - it automatically creates lists for new event names without checking if they exist first. Way cleaner code. Big thing nobody’s mentioned: timezone conversions will bite you. Events from different timezones mess up your date grouping unless you convert everything to local time first. Watch out for recurring events too - they have exceptions and modifications that show up as separate events with different IDs but same names. I threw in a simple regex to strip out stuff like “(Cancelled)” or “- Rescheduled” so the grouping stays accurate. If you’re dealing with huge calendars, add a progress bar. Processing hundreds of events takes forever, especially when expanding recurring series across a whole year.
quick tip - don’t overthink the auth setup. just enable the calendar api in console and download the credentials json. use pickle to save your token after first auth so you won’t need to reauthorize every time. made this mistake and kept getting prompted for permissions lol. if you want it simple, dump everything into a pandas dataframe first - makes grouping by event name easy with .groupby()
Been there with calendar chaos. Built something similar last year when our project timelines were scattered across dozens of recurring meetings.
For the Google Calendar API, use events().list() with a time range covering your entire year. Set singleEvents=True to expand recurring events into individual instances.
Basic flow:
Authenticate and build the service object
Pull all events within your date range
Create a dictionary where event names are keys and date lists are values
Sort the dates for each event
Tricky part is handling event names with slight variations. I did some basic string cleaning to group similar events together.
Gotcha - the API returns datetime objects, so you’ll need to format them for your desired output. Watch out for all-day events versus timed events, they come back differently.
Multiple calendars? Loop through each calendar ID and merge the results.
Pagination can be annoying with tons of events, but it’s fine for most personal calendars. Just don’t make your time range too broad or you’ll hit rate limits.