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			99 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			99 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| ## Bing (News)
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| #
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| # @website     https://www.bing.com/news
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| # @provide-api yes (http://datamarket.azure.com/dataset/bing/search),
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| #              max. 5000 query/month
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| #
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| # @using-api   no (because of query limit)
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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, publishedDate
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| 
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| from urllib import urlencode
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| from cgi import escape
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| from lxml import html
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| from datetime import datetime, timedelta
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| from dateutil import parser
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| import re
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| from searx.engines.xpath import extract_text
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| 
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| # engine dependent config
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| categories = ['news']
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| paging = True
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| language_support = True
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| 
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| # search-url
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| base_url = 'https://www.bing.com/'
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| search_string = 'news/search?{query}&first={offset}'
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| 
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| 
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| # do search-request
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| def request(query, params):
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|     offset = (params['pageno'] - 1) * 10 + 1
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| 
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|     if params['language'] == 'all':
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|         language = 'en-US'
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|     else:
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|         language = params['language'].replace('_', '-')
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| 
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|     search_path = search_string.format(
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|         query=urlencode({'q': query, 'setmkt': language}),
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|         offset=offset)
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| 
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|     params['cookies']['_FP'] = "ui=en-US"
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| 
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|     params['url'] = base_url + search_path
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| 
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|     return params
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| 
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| 
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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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| 
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|     dom = html.fromstring(resp.content)
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| 
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|     # parse results
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|     for result in dom.xpath('//div[@class="sn_r"]'):
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|         link = result.xpath('.//div[@class="newstitle"]/a')[0]
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|         url = link.attrib.get('href')
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|         title = extract_text(link)
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|         contentXPath = result.xpath('.//div[@class="sn_txt"]/div//span[@class="sn_snip"]')
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|         content = escape(extract_text(contentXPath))
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| 
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|         # parse publishedDate
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|         publishedDateXPath = result.xpath('.//div[@class="sn_txt"]/div'
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|                                           '//span[contains(@class,"sn_ST")]'
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|                                           '//span[contains(@class,"sn_tm")]')
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| 
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|         publishedDate = escape(extract_text(publishedDateXPath))
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| 
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|         if re.match("^[0-9]+ minute(s|) ago$", publishedDate):
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|             timeNumbers = re.findall(r'\d+', publishedDate)
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|             publishedDate = datetime.now() - timedelta(minutes=int(timeNumbers[0]))
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|         elif re.match("^[0-9]+ hour(s|) ago$", publishedDate):
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|             timeNumbers = re.findall(r'\d+', publishedDate)
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|             publishedDate = datetime.now() - timedelta(hours=int(timeNumbers[0]))
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|         elif re.match("^[0-9]+ hour(s|), [0-9]+ minute(s|) ago$", publishedDate):
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|             timeNumbers = re.findall(r'\d+', publishedDate)
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|             publishedDate = datetime.now()\
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|                 - timedelta(hours=int(timeNumbers[0]))\
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|                 - timedelta(minutes=int(timeNumbers[1]))
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|         elif re.match("^[0-9]+ day(s|) ago$", publishedDate):
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|             timeNumbers = re.findall(r'\d+', publishedDate)
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|             publishedDate = datetime.now() - timedelta(days=int(timeNumbers[0]))
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|         else:
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|             try:
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|                 publishedDate = parser.parse(publishedDate, dayfirst=False)
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|             except TypeError:
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|                 publishedDate = datetime.now()
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| 
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|         # append result
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|         results.append({'url': url,
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|                         'title': title,
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|                         'publishedDate': publishedDate,
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|                         'content': content})
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| 
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|     # return results
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|     return results
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