此脚本查找包含文章的子页面的地址,并从中收集数据。如何使用计数器找到10个最常见的单词及其编号。 2.查找每个作者的10个最常见的单词及其编号?
我看到了一些示例,但是在这些示例中,抓取代码完全不同,我不知道如何使用它们
残废代码:
import requests
from bs4 import BeautifulSoup as bs
from selenium import webdriver
from collections import Counter
import psycopg2 as pg2
from sqlalchemy.dialects.postgresql import psycopg2
url = 'https://teonite.com/blog/page/{}/index.html'
all_links = []
headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
'User-Agent': 'Mozilla/5.0'
}
with requests.Session() as s:
r = s.get('https://teonite.com/blog/')
soup = bs(r.content, 'lxml')
article_links = ['https://teonite.com' + item['href'][2:] for item in soup.select('.post-content a')]
all_links.append(article_links)
num_pages = int(soup.select_one('.page-number').text.split('/')[1])
for page in range(2, num_pages + 1):
r = s.get(url.format(page))
soup = bs(r.content, 'lxml')
article_links = ['https://teonite.com' + item['href'][2:] for item in soup.select('.post-content a')]
all_links.append(article_links)
all_links = [item for i in all_links for item in i]
d = webdriver.Chrome()
contents = []
authors = []
for article in all_links:
d.get(article)
soup = bs(d.page_source, 'lxml')
[t.extract() for t in soup(['style', 'script', '[document]', 'head', 'title'])]
visible_text = soup.getText()
content = soup.find('section', attrs={'class': 'post-content'})
contents.append(content)
author = soup.find('span', attrs={'class': 'author-content'})
authors.append(author)
unique_authors = list(set(authors))
unique_contents = list(set(contents))
try:
print(soup.select_one('.post-title').text)
except:
print(article)
print(soup.select_one('h1').text)
break # for debugging
d.quit()
# POSTGRESQL CONNECTION
# 1. Connect to local database using psycopg2
import psycopg2
hostname = 'balarama.db.elephantsql.com'
username = 'yagoiucf'
password = 'jXoWgxxxxxxxxxxxxxxxxxxxHo'
database = 'yagoiucf'
conn = psycopg2.connect(host='balarama.db.elephantsql.com', user='yagoiucf',
password='jxxxxxxx8HxxxxxxxxxxxMHo', dbname='yagoiucf')
conn.close()