将新闻写入CSV文件（Python 3，BeautifulSoup）

我希望Python3.6将以下代码的输出写入csv。如果它是这样的话，那就太好了：每篇文章一行（它是a），四列分别是“标题”、“URL”、“类别”[#Politik等]、“PublishedAt”

对于写入csv，我已经有了这个

with open('%s_schlagzeilen.csv' % datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S.%f'), 'w', newline='',
              encoding='utf-8') as file:
        w = csv.writer(file, delimiter="|")
        w.writerow([...])

---

…需要知道下一步要做什么。谢谢！！提前

您可以将所有需要提取的字段收集到字典列表中，并使用写入CSV文件：

import csv
import datetime

from bs4 import BeautifulSoup
import requests


website = 'http://spiegel.de/schlagzeilen'
r = requests.get(website)
soup = BeautifulSoup((r.content), "lxml")

articles = []
for a in soup.select(".schlagzeilen-content.schlagzeilen-overview a[title]"):
    category, published_at = a.find_next_sibling(class_="headline-date").get_text().split(",")

    articles.append({
        "Title": a.get_text(),
        "URL": a.get('href'),
        "Category": category.strip(" ()"),
        "PublishedAt": published_at.strip(" ()")
    })

filename = '%s_schlagzeilen.csv' % datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S.%f')
with open(filename, 'w', encoding='utf-8') as f:
    writer = csv.DictWriter(f, fieldnames=["Title", "URL", "Category", "PublishedAt"], )

    writer.writeheader()
    writer.writerows(articles)

注意我们是如何定位类别和“published at”-我们需要转到下一个同级元素并用逗号分割文本，去掉额外的括号

import csv
import datetime

from bs4 import BeautifulSoup
import requests


website = 'http://spiegel.de/schlagzeilen'
r = requests.get(website)
soup = BeautifulSoup((r.content), "lxml")

articles = []
for a in soup.select(".schlagzeilen-content.schlagzeilen-overview a[title]"):
    category, published_at = a.find_next_sibling(class_="headline-date").get_text().split(",")

    articles.append({
        "Title": a.get_text(),
        "URL": a.get('href'),
        "Category": category.strip(" ()"),
        "PublishedAt": published_at.strip(" ()")
    })

filename = '%s_schlagzeilen.csv' % datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S.%f')
with open(filename, 'w', encoding='utf-8') as f:
    writer = csv.DictWriter(f, fieldnames=["Title", "URL", "Category", "PublishedAt"], )

    writer.writeheader()
    writer.writerows(articles)