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from selenium import webdriver from urllib import parse from time import sleep class GetBibs(): def __init__(self, driver_path, option_path, ie_search_url, gg_search_url) -> None: self.ie_search_url = ie_search_url self.gg_search_url = gg_search_url # 启用带插件的浏览器 option = webdriver.ChromeOptions() option.add_argument("--user-data-dir=" + option_path) self.browser = webdriver.Chrome(executable_path=driver_path, options=option) # 打开chrome浏览器 self.browser.set_window_size(800, 800) # 不要随意修改,太窄会导致按钮的隐藏,模拟点击失效 def get_bib_from_IEEE(self, paper_title): strto_pn = parse.quote(paper_title) url = self.ie_search_url + strto_pn self.browser.get(url) compare_title = ''.join(list(filter(str.isalnum, paper_title))).lower() # 等待词条加载 for i in range(100): try: elements = self.browser.find_elements_by_css_selector("[class='List-results-items']") elements[0].get_attribute('id') break except: sleep(0.1) # 扫描所有词条,是否存在所需文献 paper_url = r'https://ieeexplore.ieee.org/document/' for i in elements: s_title = i.text.split('\n')[0] s_title = ''.join(list(filter(str.isalnum, s_title))).lower() if s_title == compare_title: paper_url += i.get_attribute('id') break if paper_url == r'https://ieeexplore.ieee.org/document/': # 没找到 return '' # 进入文献页面 self.browser.get(paper_url) # 等待加载bib按钮 for i in range(100): try: element = self.browser.find_element_by_css_selector("[class='layout-btn-white cite-this-btn']") element.click() break except: sleep(0.1) # 点击bibtex for i in range(100): try: element = self.browser.find_element_by_css_selector("[class='modal-dialog']") element = element.find_elements_by_css_selector("[class='document-tab-link']")[1] element.click() break except: sleep(0.1) for i in range(100): try: self.browser.find_element_by_css_selector("[class='text ris-text']") break except: sleep(0.1) sleep(2) bib = self.browser.find_element_by_css_selector("[class='text ris-text']").text return bib def get_bib_from_google_scholar(self, paper_title): strto_pn = parse.quote(paper_title) url = self.gg_search_url + strto_pn self.browser.get(url) # 等待词条加载 for i in range(100): try: # element = self.browser.find_element_by_css_selector("[class='gs_r gs_or gs_scl']") # element = element.find_element_by_css_selector("[class='gs_fl']") # element = element.find_element_by_css_selector("[class='gs_or_cit gs_nph']") element = self.browser.find_element('css selector', '.gs_r.gs_or.gs_scl') element = element.find_element('css selector', '.gs_fl') element = element.find_element('css selector', '.gs_or_cit.gs_nph') element.click() break except: sleep(0.1) for i in range(100): try: # element = self.browser.find_element_by_id("gs_citi") # element = element.find_element_by_css_selector("[class='gs_citi']") element = self.browser.find_element('id', 'gs_citi') element = element.find_element('css selector', '.gs_citi') element.click() break except: sleep(0.1) for i in range(100): try: # bib = self.browser.find_element_by_tag_name('pre').text bib = self.browser.find_element('tag name', 'pre').text break except: sleep(0.1) return bib def get_bib(self, paper_title): # bib = self.get_bib_from_IEEE(paper_title) # if bib != '': # return "IEEE", bib return "Google", self.get_bib_from_google_scholar(paper_title) driver_path = r'C:/Users/admin/Desktop/chromedriver' # 浏览器驱动位置 option_path = r"C:/Users/Administrator/AppData/Local/Google/Chrome/User Data/" # 使浏览器能用你自定义的设置,否则Selenium创建的浏览器对象是默认设置,一些插件就不能用了 ie_search_url = r'https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=' # 在执行代码之前,先打开IEEE官网的搜索页面,把类似的网址复制到这里,等号=后面就是一会儿要搜索的内容 gg_search_url = r'https://scholar.google.com/scholar?hl=zh-CN&as_sdt=0%2C5&inst=1597255436240989024&q=' # 谷歌学术也是一样 get_bibs = GetBibs(driver_path, option_path, ie_search_url, gg_search_url) # %% **********************以上定义爬虫对象,以下开始爬取******************************* paper_titles = { # 要爬取的论文,key用于标记,value是论文题目。下面是一些样例 "ESPCN": 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network', "Sparse_Coding": 'Image Super-Resolution Via Sparse Representation', "ESRGAN": 'ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks', "EnhanceNet": 'EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis', 'Meta-SR': 'Meta-SR: A Magnification-Arbitrary Network for Super-Resolution', 'SAN': 'Second-Order Attention Network for Single Image Super-Resolution', } for k in paper_titles.keys(): source, bib = get_bibs.get_bib(paper_titles[k]) print(source + ":", k) print(bib) print()
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