def main():
#fetch data from our google spreadsheet that tells us what to scrape
home_dir, data_dir, database, db_user, db_pw, commands_url = make_config(
'_nh')
site = {
'URL': 'http://p2c.nhcgov.com/p2c/Summary.aspx',
'Agency': "New Hanover County Sheriff's Office",
'County': 'New Hanover',
'How far back': '7'
}
#variables we'll use in our scraping and data format
county = site['County']
url = site['URL']
agency = site['Agency']
#this is how many days back we want to scrape
#e.g. 1 would scrape a total of 2 days:
# today plus 1 day back (yesterday)
howfar = int(site['How far back'])
#try for daily bulletin
bulletin_url = try_bulletin(url)
start_scrape(agency, county, bulletin_url, howfar)
#output data as tab-delimited text files named for the
#record type (arrest.txt, incident.txt, citation.txt, accident.txt)
print_files(scraper_commands.all_data, data_dir)
for data_type in all_data:
data_file = data_dir + '/' + data_type + '.txt'
table = data_type.lower() + 's'
load(database, data_file, table, db_user, db_pw)
def main():
#fetch data from our google spreadsheet that tells us what to scrape
home_dir, data_dir, database, db_user, db_pw, commands_url = make_config('_nh')
site = {'URL': 'http://p2c.nhcgov.com/p2c/Summary.aspx','Agency':"New Hanover County Sheriff's Office",'County': 'New Hanover','How far back':'7'}
#variables we'll use in our scraping and data format
county = site['County']
url = site['URL']
agency = site['Agency']
#this is how many days back we want to scrape
#e.g. 1 would scrape a total of 2 days:
# today plus 1 day back (yesterday)
howfar = int(site['How far back'])
#try for daily bulletin
bulletin_url = try_bulletin(url)
start_scrape(agency, county, bulletin_url, howfar)
#output data as tab-delimited text files named for the
#record type (arrest.txt, incident.txt, citation.txt, accident.txt)
print_files(scraper_commands.all_data,data_dir)
for data_type in all_data:
data_file = data_dir + '/' + data_type + '.txt'
table = data_type.lower() + 's'
load(database,data_file, table, db_user, db_pw)
def main():
home_dir, data_dir, database, db_user, db_pw, commands_url = make_config()
sites_to_scrape = fetch_commands(commands_url)
#pick out site we want as index from list of sites
#passed as an argument to this script
site = sites_to_scrape[int(sys.argv[1])]
#variables we'll use in our scraping and data format
county = site['County']
url = site['URL']
agency = site['Agency']
#this is how many days back we want to scrape
#e.g. 1 would scrape a total of 2 days:
# today plus 1 day back (yesterday)
howfar = int(site['How far back'])
#try for daily bulletin
#if not, then go for search
bulletin_url = scrape_bulletin.try_bulletin(url)
if bulletin_url:
if bulletin_url == 'unreachable':
print "\t".join([url,bulletin_url])
else:
data = scrape_bulletin.start_scrape(agency, county, bulletin_url, howfar)
else:
#we'll need to import the functionality to scrape a search site
import scrape_search
data = scrape_search.start_scrape(agency, url, howfar, county)
if not data:
print "\t".join([url,"failed"])
#output data as tab-delimited text files named for the
#record type (arrest.txt, incident.txt, citation.txt, accident.txt)
print_files(all_data,data_dir, site['Site'])
exit()
for data_type in all_data:
data_file = data_dir + '/' + site['Site'] + data_type + '.txt'
table = data_type.lower() + 's'
db_load(database,data_file, table, db_user, db_pw)
