Include Other Informations in the Scraping Process
Now that we have understood how the scraping process works let's finish the job and also include the missing information in our process!
Uppgift
Swipe to start coding
- Import
pandasand initialize an emptydf. - Create a
forloop to iterate over all tags. - Scrape the country name, the capital city, population, and area.
- Append the scraped values in the
df.
Lösning
99
1
2
3
4
5
6
7
8
9
10
11
12
13
import pandas as pd
col_names = ["Country", "Capital City", "Population", "Area"]
countries = pd.DataFrame(columns = col_names)
for item in soup.find_all("div",{"class":"col-md-4 country"}):
index = len(countries)
countries.loc[index, ["Country"]] = item.find_all("h3", {"class":"country-name"})[0].text.lstrip().rstrip()
countries.loc[index, ["Capital City"]] = item.find_all("span", {"class":"country-capital"})[0].text
countries.loc[index, ["Population"]] = item.find_all("span", {"class":"country-population"})[0].text
countries.loc[index, ["Area"]] = item.find_all("span", {"class":"country-area"})[0].text
countries
Mark tasks as Completed
Var allt tydligt?
Tack för dina kommentarer!
Avsnitt 1. Kapitel 6
Fråga AI
Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal
