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Scraping Reddit with Python and BeautifulSoup

Last Updated : 23 Jul, 2025

In this article, we are going to see how to scrape Reddit with Python and BeautifulSoup. Here we will use Beautiful Soup and the request module to scrape the data.

• 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: Request allows you to send HTTP/1.1 requests extremely easily. This module also does not come built-in with Python. To install this type the below command in the terminal.

pip install requests

Approach:

• Import all the required modules.
• Pass the URL in the getdata function(UDF) to that will request to a URL, it returns a response. We are using the GET method to retrieve information from the given server using a given URL.

Syntax: requests.get(url, args)

• Now Parse the HTML content using bs4.

Syntax: soup = BeautifulSoup(r.content, 'html5lib')

Parameters:

• r.content : It is the raw HTML content.
• html.parser : Specifying the HTML parser we want to use.

• Now filter the required data using soup.Find_all function.

Let’s see the stepwise execution of the script.

Step 1: Import all dependence

# import module
import requests
from bs4 import BeautifulSoup

Step 2: Create a URL get function

# user define function
# Scrape the data
def getdata(url):
    r = requests.get(url, headers = HEADERS)
    return r.text

Step 3: Now take the URL and pass the URL into the getdata() function and Convert that data into HTML code.

url = "https://www.reddit.com/r/learnpython/comments/78qnze/web_scraping_in_20_lines_of_code_with/"

# pass the url
# into getdata function
htmldata = getdata(url)
soup = BeautifulSoup(htmldata, 'html.parser')
  
# display html code
print(soup)

Output:

Note: This is only HTML code or Raw data.

Now find authors with a div tag where class_ ="NAURX0ARMmhJ5eqxQrlQW". We can open the webpage in the browser and inspect the relevant element by pressing right-click as shown in the figure.

Example:

# find the Html tag
# with find()
# and convert into string
data_str = ""
for item in soup.find_all("div", class_="NAURX0ARMmhJ5eqxQrlQW"):
    data_str = data_str + item.get_text()
      
print(data_str)
      

Output:

kashaziz

Now find the article text, here we will follow the same methods as the above example.

Example:

# find the Html tag
# with find()
# and convert into string
data_str = ""
result = ""
for item in soup.find_all("div", class_="_3xX726aBn29LDbsDtzr_6E _1Ap4F5maDtT1E1YuCiaO0r D3IL3FD0RFy_mkKLPwL4"):
    data_str = data_str + item.get_text()
print(data_str)

Output:

Now Scrape the comments, here we will follow the same methods as the above example.

# find the Html tag
# with find()
# and convert into string
data_str = ""

for item in soup.find_all("p", class_="_1qeIAgB0cPwnLhDF9XSiJM"):
    data_str = data_str + item.get_text()
print(data_str)

Output:

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