libremiami-search/searx/engines/twitter.py

64 lines
1.6 KiB
Python

## Twitter (Social media)
#
# @website https://www.bing.com/news
# @provide-api yes (https://dev.twitter.com/docs/using-search)
#
# @using-api no
# @results HTML (using search portal)
# @stable no (HTML can change)
# @parse url, title, content
#
# @todo publishedDate
from urlparse import urljoin
from urllib import urlencode
from lxml import html
from cgi import escape
# engine dependent config
categories = ['social media']
language_support = True
# search-url
base_url = 'https://twitter.com/'
search_url = base_url+'search?'
# specific xpath variables
results_xpath = '//li[@data-item-type="tweet"]'
link_xpath = './/small[@class="time"]//a'
title_xpath = './/span[@class="username js-action-profile-name"]//text()'
content_xpath = './/p[@class="js-tweet-text tweet-text"]//text()'
# do search-request
def request(query, params):
params['url'] = search_url + urlencode({'q': query})
# set language if specified
if params['language'] != 'all':
params['cookies']['lang'] = params['language'].split('_')[0]
return params
# get response from search-request
def response(resp):
results = []
dom = html.fromstring(resp.text)
# parse results
for tweet in dom.xpath(results_xpath):
link = tweet.xpath(link_xpath)[0]
url = urljoin(base_url, link.attrib.get('href'))
title = ''.join(tweet.xpath(title_xpath))
content = escape(''.join(tweet.xpath(content_xpath)))
# append result
results.append({'url': url,
'title': title,
'content': content})
# return results
return results