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How to Scrape Paragraphs using Python?

  • Last Updated : 29 Dec, 2020

Prerequisite: Implementing Web Scraping in Python with BeautifulSoup

In this article, we are going to see how we extract all the paragraphs from the given HTML document or URL using python.

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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


  • Import module
  • Create an HTML document and specify the ‘<p>’ tag into the code
  • Pass the HTML document into the Beautifulsoup() function
  • Use the ‘P’ tag to extract paragraphs from the Beautifulsoup object
  • Get text from the HTML document with get_text().



# import module
from bs4 import BeautifulSoup
# Html doc
html_doc = """
<p>Welcome geeks.</p>
<p>Hello geeks.</p>
soup = BeautifulSoup(html_doc, 'html.parser')
# traverse paragraphs from soup
for data in soup.find_all("p"):


Welcome geeks.
Hello geeks.

Now Lets Extract Paragraphs from the given URL.



# import module
import requests
import pandas as pd
from bs4 import BeautifulSoup
# link for extract html data
def getdata(url):
    r = requests.get(url)
    return r.text
htmldata = getdata("")
soup = BeautifulSoup(htmldata, 'html.parser')
data = ''
for data in soup.find_all("p"):


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