Searcch pubmed using Bio.Entrez, write results on a CSV file

pubmedLookup.py

#serach pubmed with a keywword, write specific information on a CSV file using E Utilities
from Bio import Entrez
import csv

def search(query):
    #provide NCBI your email address
    Entrez.email = 'youremail@email.com'

    #get the list of IDs
    searchHandle = Entrez.esearch(db='pubmed',
                            sort='relevance',
                            retmax='500',
                            retmode='xml',
                            mindate = 2013,
                            maxdate = 2017,
                            term=query)
    searchResults = Entrez.read(searchHandle)
    id = searchResults['IdList']
    print(id)
    idList = ','.join(id)

    #get specific information regarding the article
    fetchHandle = Entrez.efetch(db = 'pubmed',
                                retmode = 'xml',
                                id = idList)
    fetchResults = Entrez.read(fetchHandle)
    title = [' ', 'Title', 'Abstract', 'Address', 'Name', 'Year', 'Country']
    results = []
    results.append(title)
    counter = 0
    for paper in fetchResults['PubmedArticle']:
        PMID = paper['MedlineCitation']['PMID']
        article = paper['MedlineCitation']['Article']

        #some articles lack certain information, rasing exception to keep the loop going
        try:
            title = article['ArticleTitle']
            abstract = article['Abstract']['AbstractText'][0]
            articleYear = article['Journal']['JournalIssue']['PubDate']['Year']
            name = article['AuthorList'][0]
            formatedName = name['ForeName'] +' '+name['LastName']
            affiliation = article['AuthorList'][-1]['AffiliationInfo'][0]['Affiliation']
            publicationType = paper['MedlineCitation']['Article']['PublicationTypeList'][0]
            country = affiliation[(affiliation.rfind(',')) + 2:][:-1]
        except (KeyError, IndexError) as error:
            pass

    return results



#write the results on CSV file
def _csv_writer(filename, query):
    with open(filename, 'w', newline = '', encoding='UTF-8') as file:
        csv_writer = csv.writer(file, dialect = 'excel')
        rawData = search(query)
        for i in rawData:
            csv_writer.writerow(i)
    file.close()

_csv_writer('takedaTest.csv', 'adoptive cell therapy')
#search('copd')