Extracting dates from a sentence in spaCy

I have a string like so:

"The dates are from 30 June 2019 to 1 January 2022 inclusive"

I want to extract the dates from this string using spaCy.

Here is my function so far:

def extract_dates_with_year(text):
    doc = nlp(text)
    dates_with_year = []
    for ent in doc.ents:
        if ent.label_ == "DATE":
            dates_with_year.append(ent.text)
    return dates_with_year

This returns the following output:

['30 June 2019 to 1 January 2022']

However, I want output like:

['30 June 2019', '1 January 2022']

The issue is that "to" is considered part of the date. So when you do for ent in doc.ents, your loop only has one iteration, as "30 June 2019 to 1 January 2022" is considered one entity.

As you don't want this behaviour, you can amend your function to split on "to":

def extract_dates_with_year(text):
    doc = nlp(text)
    dates_with_year = []
    for ent in doc.ents:
        if ent.label_ == "DATE":
            for ent_txt in ent.text.split("to"):
                dates_with_year.append(ent_txt.strip())
    return dates_with_year

This will correctly handle dates like these, as well as single dates, and strings with multiple dates:

txt = """
     The dates are from 30 June 2019 to 1 January 2022 inclusive.
     And oddly also 5 January 2024.
     And exclude 21 July 2019 until 23 July 2019.
"""

extract_dates_with_year(txt)

# Output:
[
 '30 June 2019',
 '1 January 2022',
 '5 January 2024',
 '21 July 2019',
 '23 July 2019'
]