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ship_deaths.py
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ship_deaths.py
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import requests, re, csv, time
from bs4 import BeautifulSoup
def firefox_request(url):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1',
'Accept-Encoding': ', '.join(('gzip', 'deflate')),
'Accept': '*/*',
'Connection': 'keep-alive',
}
return requests.get(url, headers=headers)
def get_tags(list_items):
tags = []
for li in list_items:
tag = {}
tag['url'] = li.find('a')['href']
tag['slug'] = tag['url'].rsplit('/', 2)[1]
tag['text'] = li.find('a').text
tags.append(tag)
return tags
def parse_page(url):
"""
Parse a Cruise Ship Deaths article for relevant information.
Returns dict
Fields: date_published, death_time, death_type, deceased_name, deceased_age, deceased_gender,
is_passenger, is_crew, cruise_line, ship_name, ship_callsign, url
"""
death_types = ['murder', 'overboard', 'suicide', 'natural', 'accident', 'illness', 'missing',
'alcohol-related', 'drug-overdose', 'drowning', 'fire', 'sinking', 'norovirus']
death_type_bc_mappings = {
'murders': 'murder',
'overboards': 'overboard',
'suicides': 'suicide',
'natural causes': 'natural',
'accidental deaths': 'accident',
'illness': 'illness',
'port deaths': 'in-port',
'missing presumed dead': 'missing',
'overdoses': 'overdose',
'disasters': 'disaster',
'drowning': 'drowning',
'fires': 'fire',
'sinkings': 'sinking'
}
genders = ['male', 'female']
cruise_lines = ['disney', ' of the seas', 'carnival', 'norwegian', 'princess', 'mv ', 'ms ']
resp = firefox_request(url)
soup = BeautifulSoup(resp.text, 'html.parser')
first_graf = soup.find('div', {'class': 'entry-content'}).findAll('p')[0].text
death = {'is_passenger': False, 'is_crew': False}
death['date_published'] = soup.find('span', {'class': 'entry-meta-date'}).find('a').text
death['deceased_name'] = first_graf.split(',')[0]
death['url'] = url
for tag in get_tags(soup.find('div', {'class': 'entry-tags'}).findAll('li')):
if tag['slug'].startswith('time-of-death'):
matches = re.match('time-of-death-([0-9]{4})', tag['slug'])
if matches:
death['death_time'] = matches.group(1)
if tag['slug'] in death_types:
death['death_type'] = tag['slug']
if re.match('alcohol-related', tag['slug']):
death['death_type'] = 'alcohol-related'
elif re.match('suicidal', tag['slug']):
death['death_type'] = 'suicide'
if 'death_type' not in death:
breadcrumb = soup.find('nav', {'class': 'mh-breadcrumb'}).findAll('span', {'itemprop': 'title'})[1]
bc_key = breadcrumb.text.replace('Cruise Ship', '').strip().lower()
if bc_key in death_type_bc_mappings:
death['death_type'] = death_type_bc_mappings[bc_key]
age_match = re.match('age-([0-9]+)', tag['slug'])
if age_match:
death['deceased_age'] = age_match.group(1)
if tag['slug'] in genders:
death['deceased_gender'] = tag['slug']
if tag['slug'] == 'passenger':
death['is_passenger'] = True
if tag['slug'] == 'crew':
death['is_crew'] = True
if 'Cruise Line' in tag['text'] or 'Cruises' in tag['text']:
death['ship_cruise_line'] = tag['text']
else:
for line in cruise_lines:
if line in tag['text'].lower() and line != tag['text'].lower():
death['ship_name'] = tag['text']
if 'ship_name' in death and death['ship_name'].lower() in callsign_lookup:
death['ship_callsign'] = callsign_lookup[death['ship_name'].lower()]
return death
callsign_lookup = {}
with open('data/cruise-ship-locations-QueryResult.csv', 'r') as fh:
for row in [r.split(',') for r in fh.readlines()]:
callsign_lookup[row[0]] = row[1].replace('\n', '')
base_url = 'https://www.cruiseshipdeaths.com/tag/{}/page/{}/'
columns = ['date_published', 'death_time', 'death_type', 'deceased_name', 'deceased_age', 'deceased_gender',
'is_passenger', 'is_crew', 'ship_cruise_line', 'ship_name', 'ship_callsign', 'url']
deaths = []
with open('data/output_deaths.csv', 'w') as fh:
w = csv.DictWriter(fh, columns)
w.writeheader()
for year in range(2000, 2018):
keep_extracting = True
page = 1
urls = []
while keep_extracting:
url = base_url.format(year, page)
resp = firefox_request(url)
if resp.status_code == 200:
# get list of articles
soup = BeautifulSoup(resp.text, 'html.parser')
for article in soup.findAll('article'):
urls.append(article.find('header').find('a')['href'])
page += 1
time.sleep(15)
else:
keep_extracting = False
for article_url in urls:
print(article_url)
try:
death_parsed = parse_page(article_url)
deaths.append(death_parsed)
w.writerow(death_parsed)
time.sleep(30)
except Exception as e:
print('Uncaught exception {}'.format(e))
print("extracted {} deaths".format(len(deaths)))