Created
March 12, 2016 18:29
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Twitter Search Client
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from nltk.twitter import Query | |
from nltk.twitter import credsfromfile | |
import pandas as pd | |
def hrefs_from_text(str): | |
res = str | |
for s in str.split(): | |
if s.startswith('http'): | |
res = str.replace(s, '<a href=\"{0}\">{0}</a>'.format(s)) | |
return res | |
oauth = credsfromfile() | |
client = Query(**oauth) | |
with open('twitter.html', 'w') as html: | |
html.write('<html><body>') | |
df = pd.read_csv('keywords.csv') | |
df = df[df['Flag'] == 'Use'] | |
li_html = '<li>name={0} created={1} favorited={2} retweeted={3} {4}</li>' | |
for term in df['Term']: | |
query = 'python {}'.format(term) | |
html.write('<h1>{}</h1>'.format(query)) | |
html.write('<ol>') | |
tweets = client.search_tweets(keywords=query + ' http -RT', | |
lang='en', limit=5) | |
for t in tweets: | |
text = t['text'] | |
uname = t['user']['name'] | |
html.write(li_html.format(uname, t['created_at'], | |
t['favorite_count'], | |
t['retweet_count'], | |
hrefs_from_text(text))) | |
html.write('</ol>') | |
html.write('</body></html>') |
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