在命令行这样执行: python run.py example.pdf deu | xargs -0 echo > extract.txt 最终 extract.txt 的结果如下: -- Parsing...https://github.com/tesseract-ocr/tessdoc/blob/main/Data-Files-in-different-versions.md 最后的话 从 PDF 中提取文本的脚本实现并不复杂...,许多库简化了工作并取得了...
AI代码解释 defparse(self,response):products=response.xpath('//div[@id="mainsrp-itemlist"]//div[@class="items"][1]//div[contains(@class, "item")]')forproductinproducts:item=ProductItem()item['price']=''.join(product.xpath('.//div[contains(@class, "price")]//text()').extract()...
()').extract()).strip() item['title'] = ''.join(product.xpath('.//div[contains(@class, "title")]//text()').extract()).strip() item['shop'] = ''.join(product.xpath('.//div[contains(@class, "shop")]//text()').extract()).strip() item['image'] = ''.join(product....
parentTitleList = response.xpath('//div[@id="tab01"]//h3/a/text()').extract() # 获取大类的url列表 parentUrlList = response.xpath('//div[@id="tab01"]//h3/a/@href').extract() # 遍历大类列表 for i in range(len(parentTitleList)): # 根据大类的标题名新建目录 parentDir = '....
image_src ="http://www.521609.com"+ li.xpath('./a/img/@src').extract_first() item = ImgproItem() item['image_src'] = image_srcyielditemifself.pageNum <3: self.pageNum +=1url =format(self.url%self.pageNum)print('url',url)yieldscrapy.Request(url=url, callback=self.parse) ...
def crop_image(image_file_name): # 保存图片 # 截图验证码图片 # 定位某个元素在浏览器中的位置 time.sleep(2) img = browser.find_element_by_xpath("//*[@class='geetest_canvas_slice geetest_absolute']") location = img.location print("图片的位置", location) ...
['height'] + top#左#打开图片im =Image.open(file_name)#裁剪图片img =im.crop(left,top,right,height)#保存图片img.save(file_name)#获取页面所有的handledefextract_handle(self):returnself.driver.window_handles()#进入指定的handle页面defget_to_page(self,key):returnself.driver.switch_to_window(...
-> // use the document // ... // and then extract further hyperlinks conte...
Extract and Print Titles: Inside each of these tr elements, the script locates the td with class "title", navigates to the nested span with class "titleline", and finds the a tag within it. The text of this a tag contains the news article's title, which is then printed. This script...
Web scraping has been used to extract data from websites almost from the time the World Wide Web was born. In the early days, scraping was mainly done on static pages – those with known elements, tags, and data. More recently, however, advanced technologies in web development have made ...