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import urllib2 | |
import json | |
import csv | |
def get_info(api): | |
try: | |
data = urllib2.urlopen(api) | |
response_data = json.load(data) | |
data.close() | |
except urllib2.HTTPError, e: | |
print "HTTP error: {}".format(e.code) | |
except urllib2.URLError, e: | |
print "Network error: {}".format(e.reason.args[1]) | |
item_keys = [] | |
write_header = True | |
with open('nyc_jobs2.csv', 'wb') as csv_file: | |
writer = csv.writer(csv_file) | |
for item in response_data: | |
item_values = [] | |
for key in item: | |
if write_header: | |
item_keys.append(key) | |
value = item.get(key, '') | |
#check if the vlue is a string, and if so, convert to unicode | |
if isinstance(value, basestring): | |
item_values.append(value.encode('utf-8')) | |
else: | |
item_values.append(value) | |
if write_header: | |
writer.writerow(item_keys) | |
write_header = False | |
writer.writerow(item_values) | |
csv_file.close() | |
api_link = "https://data.cityofnewyork.us/resource/kpav-sd4t.json" | |
get_info(api_link) | |
#outputs a csv file with the following fields: | |
#minimum_qual_requirements,salary_range_from,additional_information,job_description,to_apply,title_code_no,process_date,civil_service_title,posting_updated,job_id,agency,division_work_unit,business_title,__of_positions,hours_shift,work_location_1,residency_requirement,salary_range_to,posting_type,work_location,preferred_skills,salary_frequency,level,posting_date |
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