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import requests |
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import pandas as pd |
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from concurrent.futures import ThreadPoolExecutor |
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from bs4 import BeautifulSoup |
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from os.path import isfile |
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from sys import argv |
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def fetch(args): |
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''' Fetch a single url ''' |
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url, session = args |
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response = session.get(url) |
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page_number = url.split('=')[-1] |
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soup = BeautifulSoup(response.text, 'lxml') |
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error = soup.find('div', {'class': 'error-page'}) |
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if error: |
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print(f'Error page: {url} does not exist') |
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return [] |
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print('.', end='', flush=True) |
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return [(page_number, f"https://pitchfork.com{e['href']}") for e in soup.find_all('a', {'class': 'review__link'})] |
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def get_urls(start, end): |
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''' Return a list of urls from the Pitchfork reviews page ''' |
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urls = [f'https://pitchfork.com/reviews/albums/?page={i}' for i in range(start, end+1)] |
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reviews = [] |
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session = requests.Session() |
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with ThreadPoolExecutor(max_workers=5) as executor: |
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for result in executor.map(fetch, ((url, session) for url in urls)): |
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reviews.extend(result) |
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print() |
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return reviews |
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def insert_into_df(data): |
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''' Insert data into a pandas dataframe ''' |
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df = pd.DataFrame(data, columns=['page', 'url']) |
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df.drop_duplicates(subset='url', keep='first', inplace=True) |
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return df |
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def main(): |
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start, end = int(argv[1]), int(argv[2]) |
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print(f'Fetching urls from pages {start} to {end}') |
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data = get_urls(start, end) |
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print(f'Fetched {len(data)} urls') |
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df = insert_into_df(data) |
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print(f'Writing to urls.csv') |
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if isfile('urls.csv'): |
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df_existing = pd.read_csv('urls.csv') |
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df_combined = pd.concat([df_existing, df]) |
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else: |
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df_combined = df |
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df_combined.drop_duplicates(subset='url', keep='first', inplace=True) |
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df_combined.to_csv('urls.csv', index=False) |
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print('Done') |
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if __name__ == '__main__': |
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main() |
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