Extract Author’s information from Geeksforgeeks article using Python
In this article, we are going to write a python script to extract author information from GeeksforGeeks article.
Module needed
- bs4: Beautiful Soup(bs4) is a Python library for pulling data out of HTML and XML files. This module does not come built-in with Python. To install this type the below command in the terminal.
pip install bs4
- requests: Requests allows you to send HTTP/1.1 requests extremely easily. This module also does not comes built-in with Python. To install this type the below command in the terminal.
pip install requests
Approach:
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- Import module
- Make requests instance and pass into URL
- Initialize the article Title
- Pass URL into a getdata()
- Scrape the data with the help of requests and Beautiful Soup
- Find the required details and filter them.
Stepwise execution of scripts:
Step 1: Import all dependence
Python
# import moduleimport requestsfrom bs4 import BeautifulSoup |
Step 2: Create a URL get function
Python3
# link for extract html data# Making a GET request def getdata(url): r=requests.get(url) return r.text |
Step 3: Now merge the Article name into URL and pass the URL into the getdata() function and Convert that data into HTML code
Python3
# input article by geekarticle = "optparse-module-in-python"# url# pass the url# into getdata functionhtmldata=getdata(url)soup = BeautifulSoup(htmldata, 'html.parser')# display html codeprint(soup) |
Output:
Step 4: Traverse the author’s name from the HTML document.
Python
# traverse author namefor i in soup.find('div', class_="author_handle"): Author = i.get_text()print(Author) |
Output:
kumar_satyam
Step 5: Now create a URL with author-name and get HTML code.
Python3
# now get author information# with author name# pass the url# into getdata functionhtmldata=getdata(profile)soup = BeautifulSoup(htmldata, 'html.parser') |
Step 6: Traverse the author’s information.
Python3
# traverse information of authorname = soup.find( 'div', class_='mdl-cell mdl-cell--9-col mdl-cell--12-col-phone textBold medText').get_text()author_info = []for item in soup.find_all('div', class_='mdl-cell mdl-cell--9-col mdl-cell--12-col-phone textBold'): author_info.append(item.get_text())print("Author name :")print(name)print("Author information :")print(author_info) |
Output:
Author name : Satyam Kumar
Author information :
[‘LNMI patna’, ‘\nhttps://www.linkedin.com/in/satyam-kumar-174273101/’]
Complete code:
Python3
# import moduleimport requestsfrom bs4 import BeautifulSoup# link for extract html data# Making a GET requestdef getdata(url): r = requests.get(url) return r.text# input article by geekarticle = "optparse-module-in-python"# url# pass the url# into getdata functionhtmldata = getdata(url)soup = BeautifulSoup(htmldata, 'html.parser')# traverse author namefor i in soup.find('div', class_="author_handle"): Author = i.get_text()# now get author information# with author name# pass the url# into getdata functionhtmldata = getdata(profile)soup = BeautifulSoup(htmldata, 'html.parser')# traverse information of authorname = soup.find( 'div', class_='mdl-cell mdl-cell--9-col mdl-cell--12-col-phone textBold medText').get_text()author_info = []for item in soup.find_all('div', class_='mdl-cell mdl-cell--9-col mdl-cell--12-col-phone textBold'): author_info.append(item.get_text())print("Author name :", name)print("Author information :")print(author_info) |
Output:
Author name : Satyam Kumar
Author information :
[‘LNMI patna’, ‘\nhttps://www.linkedin.com/in/satyam-kumar-174273101/’]
