m_pdf_reader.py

import os
import pandas as pd

path = '/home/shivank98/Desktop/Motion'   # Set the path for folder where all pdf are kept.
files = []
for r, d, f in os.walk(path):
    for file in f:
        if '.pdf' in file:
            files.append(os.path.join(r, file))

data = []

def get_roll_number(s):
    v = s.find(':')
    return s[v+1: v+11]

def get_gender(s):
    v = s.find("Gender :")
    return s[v+8]

def get_category(s):
    v = s.find("Category :")
    return s[v+10:v+12]

def get_application_number(s):
    v = s.find("Application Number:")
    return s[v+20:v+32]

def get_timing_of_test(s):
    v = s.find("Shift")
    return s[v+5:v+8]

def get_test_center(s):
    v =  s.find("Venue of Test :")#Venue of Test :
    d = s.find("Photograph")
    return s[v+14:d]



import PyPDF2
for i in range(len(files)):
    pdfFileObj = open(str(files[i]), 'rb')
    pdfReader = PyPDF2.PdfFileReader(pdfFileObj) 
    pageObj = pdfReader.getPage(0) 
    s = pageObj.extractText()
    print(get_application_number(s))
    app_num = get_application_number(s)

    print(get_roll_number(s))
    roll_num = get_roll_number(s)

    print(get_gender(s))
    gender = get_gender(s)

    print(get_category(s))
    category = get_category(s)

    print(get_timing_of_test(s))
    test_time = get_timing_of_test(s)

    print(get_test_center(s))  
    test_center = get_test_center(s)

    pdfFileObj.close() 
    tup = [app_num, roll_num, gender, category, test_time, test_center]
    data.append(tup)

    print()
    print()

df = pd.DataFrame(data, columns = ['ApplicationNum', 'RollNum', 'Category', 'Gender', 'TestTime', 'TestCenter'])
df.to_csv('pdf_data.csv')

simply run python m_pdf_reader.py after setting line#4 where a path needs to be set off where the pdf files are kept.
this will result in a CSV file consist of the required database.