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import requests
import pandas as pd
class RegulationsDataFetcher:
API_KEY = '4T29l93SvmnyNCVFZUFzSfUqTq6k7S0Wqn93sLcH'
BASE_COMMENT_URL = 'https://api.regulations.gov/v4/comments'
BASE_DOCKET_URL = 'https://api.regulations.gov/v4/dockets/'
HEADERS = {
'X-Api-Key': API_KEY,
'Content-Type': 'application/json'
}
def __init__(self, docket_id):
self.docket_id = docket_id
self.docket_url = self.BASE_DOCKET_URL + docket_id
self.dataset = []
def fetch_comments(self, page_number):
"""Fetch a page of comments."""
url = f'{self.BASE_COMMENT_URL}?filter[docketId]={self.docket_id}&page[number]={page_number}&page[size]=100'
response = requests.get(url, headers=self.HEADERS)
if response.status_code == 200:
return response.json()
else:
print(f'Failed to retrieve comments: {response.status_code}')
return None
def get_docket_info(self):
"""Get docket information."""
response = requests.get(self.docket_url, headers=self.HEADERS)
if response.status_code == 200:
docket_data = response.json()
return (docket_data['data']['attributes']['agencyId'],
docket_data['data']['attributes']['title'],
docket_data['data']['attributes']['modifyDate'])
else:
print(f'Failed to retrieve docket info: {response.status_code}')
return None
def fetch_comment_details(self, comment_url):
"""Fetch detailed information of a comment."""
response = requests.get(comment_url, headers=self.HEADERS)
if response.status_code == 200:
return response.json()
else:
print(f'Failed to retrieve comment details: {response.status_code}')
return None
def collect_data(self):
"""Collect data by iterating through all comment pages."""
initial_data = self.fetch_comments(1)
total_pages = initial_data['meta']['totalPages'] if initial_data else 0
docket_info = self.get_docket_info()
for page_number in range(1, total_pages + 1):
data = self.fetch_comments(page_number)
if data:
for comment in data['data']:
comment_details = self.fetch_comment_details(comment['links']['self'])
if comment_details:
comment_data = comment_details['data']['attributes']
self.dataset.append({
'docket_agency': docket_info[0],
'docket_title': docket_info[1],
'docket_date': docket_info[2],
'comment_id': comment['id'],
'comment_url': comment['links']['self'],
'comment_date': comment['attributes']['postedDate'],
'comment_title': comment['attributes']['title'],
'commenter_name': comment_data.get('firstName', '') + " " + comment_data.get('lastName', ''),
'comment_length': len(comment_data.get('comment', '')),
'comment_text': comment_data.get('comment', '')
})
if len(self.dataset) == 10: #temporary for runtime
break
# Example usage
docket_ids = ['SAMHSA-2016-0001', 'SAMHSA-2023-0001', 'DEA-2020-0031', 'CMS-2021-0167', 'DOD-2015-HA-0109']
all_data = []
for docket_id in docket_ids:
fetcher = RegulationsDataFetcher(docket_id)
fetcher.collect_data()
all_data.extend(fetcher.dataset)
combined_df = pd.DataFrame(all_data)
combined_df.to_csv('temp.csv', index=False) |