searxng/searx/engines/bing_images.py

82 lines
2.1 KiB
Python

## Bing (Images)
#
# @website https://www.bing.com/images
# @provide-api yes (http://datamarket.azure.com/dataset/bing/search), max. 5000 query/month
#
# @using-api no (because of query limit)
# @results HTML (using search portal)
# @stable no (HTML can change)
# @parse url, title, img_src
#
# @todo currently there are up to 35 images receive per page, because bing does not parse count=10. limited response to 10 images
from urllib import urlencode
from cgi import escape
from lxml import html
from yaml import load
import re
# engine dependent config
categories = ['images']
paging = True
# search-url
base_url = 'https://www.bing.com/'
search_string = 'images/search?{query}&count=10&first={offset}'
# do search-request
def request(query, params):
offset = (params['pageno'] - 1) * 10 + 1
# required for cookie
language = 'en-US'
search_path = search_string.format(
query=urlencode({'q': query}),
offset=offset)
params['cookies']['SRCHHPGUSR'] = \
'NEWWND=0&NRSLT=-1&SRCHLANG=' + language.split('-')[0]
params['url'] = base_url + search_path
print(params['url'])
return params
# get response from search-request
def response(resp):
results = []
dom = html.fromstring(resp.content)
# init regex for yaml-parsing
p = re.compile( '({|,)([a-z]+):(")')
# parse results
for result in dom.xpath('//div[@class="dg_u"]'):
link = result.xpath('./a')[0]
# parse yaml-data (it is required to add a space, to make it parsable)
yaml_data = load(p.sub( r'\1\2: \3', link.attrib.get('m')))
title = link.attrib.get('t1')
#url = 'http://' + link.attrib.get('t3')
url = yaml_data.get('surl')
img_src = yaml_data.get('imgurl')
# append result
results.append({'template': 'images.html',
'url': url,
'title': title,
'content': '',
'img_src': img_src})
# TODO stop parsing if 10 images are found
if len(results) >= 10:
break
# return results
return results