forked from zaclys/searxng
80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
"""
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Twitter (Social media)
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@website https://twitter.com/
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@provide-api yes (https://dev.twitter.com/docs/using-search)
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@using-api no
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@results HTML (using search portal)
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@stable no (HTML can change)
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@parse url, title, content
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@todo publishedDate
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"""
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from urlparse import urljoin
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from urllib import urlencode
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from lxml import html
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from datetime import datetime
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from searx.engines.xpath import extract_text
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# engine dependent config
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categories = ['social media']
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language_support = True
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# search-url
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base_url = 'https://twitter.com/'
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search_url = base_url + 'search?'
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# specific xpath variables
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results_xpath = '//li[@data-item-type="tweet"]'
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link_xpath = './/small[@class="time"]//a'
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title_xpath = './/span[contains(@class, "username")]'
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content_xpath = './/p[contains(@class, "tweet-text")]'
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timestamp_xpath = './/span[contains(@class,"_timestamp")]'
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# do search-request
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def request(query, params):
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params['url'] = search_url + urlencode({'q': query})
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# set language if specified
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if params['language'] != 'all':
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params['cookies']['lang'] = params['language'].split('_')[0]
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else:
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params['cookies']['lang'] = 'en'
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return params
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# get response from search-request
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def response(resp):
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results = []
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dom = html.fromstring(resp.text)
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# parse results
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for tweet in dom.xpath(results_xpath):
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link = tweet.xpath(link_xpath)[0]
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url = urljoin(base_url, link.attrib.get('href'))
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title = extract_text(tweet.xpath(title_xpath))
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content = extract_text(tweet.xpath(content_xpath)[0])
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pubdate = tweet.xpath(timestamp_xpath)
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if len(pubdate) > 0:
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timestamp = float(pubdate[0].attrib.get('data-time'))
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publishedDate = datetime.fromtimestamp(timestamp, None)
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# append result
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results.append({'url': url,
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'title': title,
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'content': content,
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'publishedDate': publishedDate})
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else:
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# append result
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results.append({'url': url,
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'title': title,
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'content': content})
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# return results
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return results
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