webscraping and multiprocessing with py

wm.py

def get_set_data(link, mp_data):
    try:
        articles = Article() # gets article information
        article_data = {
            'url': article.url,
            'summary': article.summary,
            'content': article.text,
            'keywords': article.keywords,
            'tags': article.tags
        }

        article_words = article.text.split(' ')
        article_paragraphs = article.text.splitlines()
        if len(article_paragraphs) <= 0:
            word_paragraph_ratio = 0
        else:
            word_paragraph_ratio = len(article_words) / len(article_paragraphs)

        article_data['word_paragraph_ratio'] = word_paragraph_ratio
        article_data['paragraph_count'] = len(article_paragraphs)
        article_data['word_count'] = len(article_words)
        # Article High Quality Detection
        if len(article_words) >= 250:
            if word_paragraph_ratio >= 6:
                mp_data['site_info']['hq_pages_num'].value += 1
                article_data['hq'] = True
            else:
                article_data['hq'] = False

        mp_data['articles'].append(article_data) # appender...

        mp_data['site_info']['pages_num'].value += 1
    except ArticleException:
        pass

mp_data['articles']=mp_data['articles'] + article_data

from multiprocessing import Process, Manager

def f(d):
d[1] = d[1] + [4]
d[1]=d[1]+[5]
d[1]=d[1]+['fjasfkjs']

print(d)

if name == 'main':
manager = Manager() # create only 1 mgr
d = manager.dict() # create only 1 dict
d[1] = []
p = Process(target=f,args=(d,)) # say to 'f', in which 'd' it should append
p.start()
p.join()