ID:- 512
NAME:- GOOSE
PROJECT NAME:- Random
REPORT ID:- 30321
REPORT NAME:- ANIMAL
KEYWORDS:- ['"help,goose,Grease,GB"']


ID:- 566
NAME:- MOOSE
PROJECT NAME:- Random
REPORT ID:- 30213
REPORT NAME:- ANIMAL
KEYWORDS:- ['"Moose, boar, hansel"']

ID, NAME, PROJECT NAME, REPORT ID, REPORT NAME, KEYWORDS

with open('test.txt', 'r') as in_file:
    stripped = (line.strip() for line in in_file)
    lines = (line for line in stripped if line)
    grouped = itertools.izip(*[lines] * 6)
    with open('extracted.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow((‘ID’, ‘NAME’, ‘PROJECT NAME’, ‘REPORT ID’, ‘REPORT NAME’, ‘KEYWORDS’))
        writer.writerows(grouped)

import re

# `text` is your input text

data = {}
keys = ['ID', 'NAME', 'PROJECT NAME', 'REPORT ID', 'REPORT NAME', 'KEYWORDS']
for k in keys:
    data[k] = re.findall(r'%s:- (.*)' % k, text)

import csv

csv_file = 'out.csv'

with open(csv_file, 'w') as csvfile:
    writer = csv.DictWriter(csvfile, fieldnames=keys)
    writer.writeheader()
    for x in data:
        writer.writerow(x)