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