我们有这个网址:https://www.aliexpress.com/store/feedback-score/1665279.html
所需的内容是"反馈历史记录"表,它位于 iframe 内:
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%
我们如何提取它?
只需要获取iframe
的 src
属性,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")]))
结果:
反馈 1 个月 3 个月 6 个月好评(4-5星( 154 562 1,550中性(3星( 8 19 65差评(1-2星( 8 20 57正反馈率 95.1% 96.6% 96.5%