问题
I am attempting to use Beautiful Soup to extract some values out of a web page (not very much wisdom here..) which are hourly values from a weatherbug forecast. In Chrome developer mode I can see the values are nested within the div classes as shown in the snip below:
In Python I can attempt to mimic a web browser and find these values:
import requests
import bs4 as BeautifulSoup
import pandas as pd
from bs4 import BeautifulSoup
url = 'https://www.weatherbug.com/weather-forecast/hourly/san-francisco-ca-94103'
header = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
"X-Requested-With": "XMLHttpRequest"
}
page = requests.get(url, headers=header)
soup = BeautifulSoup(page.text, 'html.parser')
With the code below, I can find 12 of these hour-card_mobile_cond div classes which seems about correct as when searching for hourly forecast I can see 12 hours/variables of future data. Im not sure why I am picking up a mobile device method to view...(?)
temp_containers = soup.find_all('div', class_ = 'hour-card__mobile__cond')
print(type(temp_containers))
print(len(temp_containers))
Output:
<class 'bs4.element.ResultSet'>
12
I am doing something incorrect below if I attempt to make up some code to loop thru all these div classes to dive down a little further.. I can 12 empty lists returned.. Would anyone have a tip at all where I can improve? Ultimately I am looking to put all 12 future hourly forecasted values into a pandas dataframe.
for div in temp_containers:
a = div.find_all('div', class_ = 'temp ng-binding')
print(a)
EDIT, complete code based on answer with pandas dataframe
import requests
from bs4 import BeautifulSoup
import pandas as pd
r = requests.get(
"https://www.weatherbug.com/weather-forecast/hourly/san-francisco-ca-94103")
soup = BeautifulSoup(r.text, 'html.parser')
stuff = []
for item in soup.select("div.hour-card__mobile__cond"):
item = int(item.contents[1].get_text(strip=True)[:-1])
print(item)
stuff.append(item)
df = pd.DataFrame(stuff)
df.columns = ['temp']
回答1:
The website is loaded via JavaScript dynamically once the page loads. so you can use requests-html or selenium.
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
options = Options()
options.add_argument('--headless')
driver = webdriver.Firefox(options=options)
driver.get(
"https://www.weatherbug.com/weather-forecast/hourly/san-francisco-ca-94103")
data = driver.find_elements_by_css_selector("div.temp.ng-binding")
for item in data:
print(item.text)
driver.quit()
Output:
51°
52°
53°
54°
53°
53°
52°
51°
51°
50°
50°
49°
Updated per user-request:
import requests
from bs4 import BeautifulSoup
r = requests.get(
"https://www.weatherbug.com/weather-forecast/hourly/san-francisco-ca-94103")
soup = BeautifulSoup(r.text, 'html.parser')
for item in soup.select("div.hour-card__mobile__cond"):
item = int(item.contents[1].get_text(strip=True)[:-1])
print(item, type(item))
Output:
51 <class 'int'>
52 <class 'int'>
53 <class 'int'>
53 <class 'int'>
53 <class 'int'>
53 <class 'int'>
52 <class 'int'>
51 <class 'int'>
51 <class 'int'>
50 <class 'int'>
50 <class 'int'>
50 <class 'int'>
回答2:
When you see class = "temp ng-binding" this means the div has class of "temp" and of "ng-binding" so looking for both won't work. Also, when I ran your script, the html of the temp containers, looked like this:
print(temp_containers[0])
<div class="temp">
51°
</div>
so I ran this and got results
import requests
import pandas as pd
from bs4 import BeautifulSoup
url = 'https://www.weatherbug.com/weather-forecast/hourly/san-francisco-ca-94103'
header = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
"X-Requested-With": "XMLHttpRequest"
}
page = requests.get(url, headers=header)
soup = BeautifulSoup(page.text, 'html.parser')
temp_containers = soup.find_all('div', class_ = 'hour-card__mobile__cond')
print(type(temp_containers))
print(len(temp_containers))
for div in temp_containers:
a = div.find('div', class_ = 'temp')
print(a.text)
来源:https://stackoverflow.com/questions/60728681/beautiful-soup-loop-over-div-element-in-html