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81 lines
2.1 KiB
Python
81 lines
2.1 KiB
Python
## Bing (Images)
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#
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# @website https://www.bing.com/images
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# @provide-api yes (http://datamarket.azure.com/dataset/bing/search), 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, img_src
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#
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# @todo currently there are up to 35 images receive per page, because bing does not parse count=10. limited response to 10 images
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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 yaml import load
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import re
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# engine dependent config
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categories = ['images']
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paging = True
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# search-url
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base_url = 'https://www.bing.com/'
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search_string = 'images/search?{query}&count=10&first={offset}'
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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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# required for cookie
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language = 'en-US'
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search_path = search_string.format(
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query=urlencode({'q': query}),
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offset=offset)
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params['cookies']['SRCHHPGUSR'] = \
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'NEWWND=0&NRSLT=-1&SRCHLANG=' + language.split('-')[0]
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params['url'] = base_url + search_path
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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.content)
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# init regex for yaml-parsing
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p = re.compile( '({|,)([a-z]+):(")')
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# parse results
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for result in dom.xpath('//div[@class="dg_u"]'):
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link = result.xpath('./a')[0]
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# parse yaml-data (it is required to add a space, to make it parsable)
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yaml_data = load(p.sub( r'\1\2: \3', link.attrib.get('m')))
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title = link.attrib.get('t1')
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#url = 'http://' + link.attrib.get('t3')
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url = yaml_data.get('surl')
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img_src = yaml_data.get('imgurl')
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# append result
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results.append({'template': 'images.html',
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'url': url,
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'title': title,
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'content': '',
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'img_src': img_src})
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# TODO stop parsing if 10 images are found
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if len(results) >= 10:
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break
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# return results
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return results
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