Created
June 17, 2018 17:07
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| import requests | |
| import pandas as pd | |
| from bs4 import BeautifulSoup | |
| url = "http://www.maisbolao.com.br/bolao/classificacao/31858/bolao-da-twist" | |
| class HTMLTableParser: | |
| def parse_url(self, url): | |
| response = requests.get(url) | |
| soup = BeautifulSoup(response.text, 'lxml') | |
| return [self.parse_html_table(table) for table in soup.find_all("table")] | |
| def parse_html_table(self, table): | |
| n_columns = 0 | |
| n_rows = 0 | |
| column_names = [] | |
| for row in table.find_all("tr"): | |
| td_tags = row.find_all("td") | |
| if len(td_tags): | |
| n_rows += 1 | |
| if n_columns == 0: | |
| n_columns = len(td_tags) | |
| th_tags = row.find_all("th") | |
| if len(th_tags) and not len(column_names): | |
| for th in th_tags: | |
| column_names.append(th.get_text()) | |
| if len(column_names) and len(column_names) != n_columns: | |
| raise Exception("column titles do not match the number of columns") | |
| columns = column_names if len(column_names) else range(0, n_columns) | |
| df = pd.DataFrame("<UNK>", columns=columns[3:], index=range(1, n_rows+1)) | |
| row_marker = 0 | |
| for row in table.find_all("tr")[1:]: | |
| column_marker = 0 | |
| columns = row.find_all("td") | |
| for column in columns[3:]: | |
| df.iat[row_marker, column_marker] = column.get_text() | |
| column_marker += 1 | |
| if len(columns): | |
| row_marker += 1 | |
| for col in df: | |
| try: | |
| df[col] = df[col].astype(int) | |
| except ValueError: | |
| pass | |
| return df | |
| if __name__ == '__main__': | |
| hp = HTMLTableParser() | |
| table = hp.parse_url(url) | |
| print(table[0]) |
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