get all tags using specific style by BeautifulSoup in python

Question

I am trying to parse some HTML files. I want to extract all text using a specific font size. For instance, I want to get all text of p, div, span, etc tags using font-size:10px in their style. I am using BeautifulSoup to parse my HTML files and extract the preferred data. To extract data of tags using specific font sizes, I used the following script in python. While it does not work.

file = open("file.html", "r")
soup = BeautifulSoup(file.read(), features="html.parser")
main_texts = soup.findAll(attrs={"style":"font-size:10px"})
for item in main_texts :
   whole_text += item.getText()

Also, My HTML content is like this

    Academic Qualifications 
2012-Current  CPA (Australia)    CPA (Aust.) Holder  2010-2012  Royal Melbourne Institute of Technology     Bachelor in Business (Accountancy)       2006-2009         Ngee Ann Polytechnic                            Diploma in Accountancy  2002-2005        Henderson Secondary School                           GCE ‘O’ Levels  1996-2001        River Valley Primary School                             PSLE   Co-Curriculum Achievements 
NPCC (2002 -2005)     -National Youth Achievement Award (Bronze)       -CCA Merit Award (NPCC)  Ngee Ann Poly (2006 – 2009)   -Freshmen Orientation Sub-Committee Member       -Freshmen Recruitment Sub-Committee Member       -Ngee Ann Canoeing Club Member  Nippon Yusen Kaisha (2011- 2012) - Social Recreational Committee Member  Personal Skills 
Software Skills 1. Microsoft Office (Excel, Pivot, V-lookup, Powerpoint) Excellent 2. Bloomberg       Intermediate 3. Thomson Reuters      Intermediate 4.

Do you have any idea to resolve this problem?

user_12349734 · Answer

You can use an [attribute*="value"] CSS Selector.

To use a CSS Selector, instead of the .find_all() method, use .select():

...
# The following will select all `style` elements containing `font-size:10px`
main_text = soup.select('[style*="font-size:10px"]')

get all tags using specific style by BeautifulSoup in python

1 Answers