Fra*_*nkC 3 python beautifulsoup web-scraping
我们有这个网址:https : //www.aliexpress.com/store/feedback-score/1665279.html
所需的内容是 iframe 内的“反馈历史记录”表:
Feedback 1 Month 3 Months 6 Months
Positive (4-5 Stars) 154 562 1,550
Neutral (3 Stars) 8 19 65
Negative (1-2 Stars) 8 20 57
Positive feedback rate 95.1% 96.6% 96.5%
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我们如何提取它?
您只需要获取 的src属性iframe,然后请求并解析其内容:
import requests
from bs4 import BeautifulSoup
s = requests.Session()
r = s.get("https://www.aliexpress.com/store/feedback-score/1665279.html")
soup = BeautifulSoup(r.content, "html.parser")
iframe_src = soup.select_one("#detail-displayer").attrs["src"]
r = s.get(f"https:{iframe_src}")
soup = BeautifulSoup(r.content, "html.parser")
for row in soup.select(".history-tb tr"):
print("\t".join([e.text for e in row.select("th, td")]))
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结果:
反馈 1 个月 3 个月 6 个月 正面(4-5 星) 154 562 1,550 中性(3 星) 8 19 65 负(1-2 星) 8 20 57 好评率 95.1% 96.6% 96.5%