Python – MongoDB Date Time query with examples

Today, in this article will see how to write a MongoDB Date Time query to get records based on timestamp or date range using Python language.

We will use the PyMongo package to install the driver and query MongoDB.

We will cover the below aspects in today’s article,

Getting started

Here below is a sample schema or document we shall use for the date range query,

Install PyMongo package

Please install the PyMongo driver package to get support for the MongoClient connection class and properties.

For more details visit- https://api.mongodb.com/python/current

Add PyMongo Import statements

Please add below using namespaces

from pymongo import MongoClient

from datetime import datetime

If you need support for date time zone support like UTC or ETC etc, please add below other import statements,

from datetime import datetime, tzinfo, timezone

Define MongoDB Connection

client = MongoClient('mongodb://localhost:27017/')
db = client['your_database']
collection = db['your_collection']

Here we will be using the below query to get the documents between two dates in MongoDB Collection.

Python – Mongo Date greater than query (‘gt’)

Define the date for the query

start_date = datetime(2023, 1, 1)

OR

Date time using time zone

start_date = datetime(2023, 1, 1, tzinfo=timezone.utc)

Define the filter

filter =  {
         'DateAdded': {
                '$gt': start_date 

         }
  }

Get the results

result = client['TheCodeBuzz']['Books'].find(filter=filter)

#print the results

for document in result: 

     print(document)

Below is the complete code,

from datetime import datetime, tzinfo, timezone
from pymongo import MongoClient

# Define Python Mongo Connection

client = MongoClient('mongodb://localhost:27017/')
db = client['your_database']
collection = db['your_collection']

# define date for the query 

start_date = datetime(2023, 1, 1)

# define filter for the query 

filter =  {
         'DateAdded': {
                '$gt': start_date 

         }
  }

#execute query 

result = client['TheCodeBuzz']['Books'].find(filter=filter)

#print the results
for document in result: 

     print(document)

Mongo Atlas UI

The above query produces the same result as indicated below using ATLAS UI,

Python – Mongo Date less than query (‘lt’)

# define date for the query 

start_date = datetime(2023, 1, 1)

# define filter for the query 

filter =  {
         'DateAdded': {
                '$lt': start_date 

         }
  }

Python – Mongo Date less than and greater than date query

# define date for the query 

start_date = datetime(2023, 8, 1)
end_date = datetime(2024, 1, 1)

# define filter for the query 

filter =  {
         'DateAdded': {
                '$gte': start_date,
                '$lt': end_date

         }
  }

That’s all! Happy coding!

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