python实现百度文库自动化爬取
作者:siyangbing
项目介绍
可以下载doc,ppt,pdf.对于doc文档可以下载,doc中的表格无法下载,图片格式的文档也可以下载.ppt和pdf是先下载图片再放到ppt中.只要是可以预览的都可以下载。
已有功能
- 将可以预览的word文档下载为word文档,如果文档是扫描件,同样支持.
- 将可以预览的ppt和pdf下载为不可编辑的ppt,因为网页上只有图片,所以理论上无法下载可编辑的版本.
环境安装
pip install requests pip install my_fake_useragent pip install python-docx pip install opencv-python pip install python-pptx pip install selenium pip install scrapy
本项目使用的是chromedriver控制chrome浏览器进行数据爬取的的,chromedriver的版本和chrome需要匹配
Windows用看这里
1. 如果你的chrome浏览器版本恰好是87.0.4280,那么恭喜你,你可以直接看使用方式了,因为我下载的chromedriver也是这个版本
2. 如果不是,你需要查看自己的chrome浏览器版本,然后到chromedriver下载地址:http://npm.taobao.org/mirrors/chromedriver/ 这个地址下载对应版本的chromedriver,比如你的浏览器版本是87.0.4280,你就可以找到87.0.4280.20/这个链接,如果你是windows版本然后选择chromedriver_win32.zip进行下载解压。千万不要下载LASEST——RELEASE87.0.4280这个链接,这个链接没有用,之前有小伙伴走过弯路的,注意一下哈。
3. 用解压好的chromedriver.exe替换原有文件,然后跳到使用方式
ubuntu用户看这里
讲道理,你已经用ubuntu了,那位就默认你是大神,你只要根据chrome的版本下载对应的chromdriver(linux系统的),然后把chromedriver的路径改称你下载解压的文件路径就好了,然后跳到使用方式。哈哈哈,我这里就偷懒不讲武德啦
使用方式:
把代码中的url改为你想要下载的链接地址,脚本会自动文档判断类型,并把在当前目录新建文件夹并把文件下载到当前目录。
主要代码
import os import time from selenium import webdriver from selenium.webdriver.common.desired_capabilities import DesiredCapabilities from scrapy import Selector import requests from my_fake_useragent import UserAgent import docx from docx.shared import Inches import cv2 from pptx import Presentation from pptx.util import Inches #dows是的chromedriver chromedriver_path = "./chromedriver.exe" #用ubuntu的chromedriver # chromedriver_path = "./chromedriver" doc_dir_path = "./doc" ppt_dir_path = "./ppt" # url = "https://wenku.baidu.com/view/4410199cb0717fd5370cdc2e.html?fr=search"# doc_txt p # url = "https://wenku.baidu.com/view/4d18916f7c21af45b307e87101f69e314332fa36.html" # doc_txt span # url = "https://wenku.baidu.com/view/dea519c7e53a580216fcfefa.html?fr=search" # doc_txt span br # url = 'https://wk.baidu.com/view/062edabeb6360b4c2e3f5727a5e9856a5712262d?pcf=2&bfetype=new' # doc_img # url = "https://wenku.baidu.com/view/2af6de34a7e9856a561252d380eb6294dd88228d"# vip限定doc # url = "https://wenku.baidu.com/view/3de365cc6aec0975f46527d3240c844769eaa0aa.html?fr=search" #ppt # url = "https://wenku.baidu.com/view/18a8bc08094e767f5acfa1c7aa00b52acec79c55"#pdf # url = "https://wenku.baidu.com/view/bbe27bf21b5f312b3169a45177232f60dccce772" # url = "https://wenku.baidu.com/view/5cb11d096e1aff00bed5b9f3f90f76c660374c24.html?fr=search" # url = "https://wenku.baidu.com/view/71f9818fef06eff9aef8941ea76e58fafab045a6.html" # url = "https://wenku.baidu.com/view/ffc6b32a68eae009581b6bd97f1922791788be69.html" url = "https://wenku.baidu.com/view/d4d2e1e3122de2bd960590c69ec3d5bbfd0adaa6.html" class DownloadImg(): def __init__(self): self.ua = UserAgent() def download_one_img(self, img_url, saved_path): # 下载图片 header = { "User-Agent": "{}".format(self.ua.random().strip()), 'Connection': 'close'} r = requests.get(img_url, headers=header, stream=True) print("请求图片状态码 {}".format(r.status_code)) # 返回状态码 if r.status_code == 200: # 写入图片 with open(saved_path, mode="wb") as f: f.write(r.content) print("download {} success!".format(saved_path)) del r return saved_path class StartChrome(): def __init__(self): mobile_emulation = {"deviceName": "Galaxy S5"} capabilities = DesiredCapabilities.CHROME capabilities['loggingPrefs'] = {'browser': 'ALL'} options = webdriver.ChromeOptions() options.add_experimental_option("mobileEmulation", mobile_emulation) self.brower = webdriver.Chrome(executable_path=chromedriver_path, desired_capabilities=capabilities, chrome_options=options) # 启动浏览器,打开需要下载的网页 self.brower.get(url) self.download_img = DownloadImg() def click_ele(self, click_xpath): # 单击指定控件 click_ele = self.brower.find_elements_by_xpath(click_xpath) if click_ele: click_ele[0].location_once_scrolled_into_view # 滚动到控件位置 self.brower.execute_script('arguments[0].click()', click_ele[0]) # 单击控件,即使控件被遮挡,同样可以单击 def judge_doc(self, contents): # 判断文档类别 p_list = ''.join(contents.xpath("./text()").extract()) span_list = ''.join(contents.xpath("./span/text()").extract()) # # if span_list # if len(span_list)>len(p_list): # xpath_content_one = "./br/text()|./span/text()|./text()" # elif len(span_list)<len(p_list): # # xpath_content_one = "./br/text()|./text()" # xpath_content_one = "./br/text()|./span/text()|./text()" if len(span_list)!=len(p_list): xpath_content_one = "./br/text()|./span/text()|./text()" else: xpath_content_one = "./span/img/@src" return xpath_content_one def create_ppt_doc(self, ppt_dir_path, doc_dir_path): # 点击关闭开通会员按钮 xpath_close_button = "//div[@class='na-dialog-wrap show']/div/div/div[@class='btn-close']" self.click_ele(xpath_close_button) # 点击继续阅读 xpath_continue_read_button = "//div[@class='foldpagewg-icon']" self.click_ele(xpath_continue_read_button) # 点击取消打开百度app按钮 xpath_next_content_button = "//div[@class='btn-wrap']/div[@class='btn-cancel']" self.click_ele(xpath_next_content_button) # 循环点击加载更多按钮,直到显示全文 click_count = 0 while True: # 如果到了最后一页就跳出循环 if self.brower.find_elements_by_xpath("//div[@class='pagerwg-loadSucc hide']") or self.brower.find_elements_by_xpath("//div[@class='pagerwg-button' and @style='display: none;']"): break # 点击加载更多 xpath_loading_more_button = "//span[@class='pagerwg-arrow-lower']" self.click_ele(xpath_loading_more_button) click_count += 1 print("第{}次点击加载更多!".format(click_count)) # 等待一秒,等浏览器加载 time.sleep(1.5) # 获取html内容 sel = Selector(text=self.brower.page_source) #判断文档类型 xpath_content = "//div[@class='content singlePage wk-container']/div/p/img/@data-loading-src|//div[@class='content singlePage wk-container']/div/p/img/@data-src" contents = sel.xpath(xpath_content).extract() if contents:#如果是ppt self.create_ppt(ppt_dir_path, sel) else:#如果是doc self.create_doc(doc_dir_path, sel) # a = 3333 # return sel def create_ppt(self, ppt_dir_path, sel): # 如果文件夹不存在就创建一个 if not os.path.exists(ppt_dir_path): os.makedirs(ppt_dir_path) SLD_LAYOUT_TITLE_AND_CONTENT = 6 # 6代表ppt模版为空 prs = Presentation() # 实例化ppt # # 获取完整html # sel = self.get_html_data() # 获取标题 xpath_title = "//div[@class='doc-title']/text()" title = "".join(sel.xpath(xpath_title).extract()).strip() # 获取内容 xpath_content_p = "//div[@class='content singlePage wk-container']/div/p/img" xpath_content_p_list = sel.xpath(xpath_content_p) xpath_content_p_url_list=[] for imgs in xpath_content_p_list: xpath_content = "./@data-loading-src|./@data-src|./@src" contents_list = imgs.xpath(xpath_content).extract() xpath_content_p_url_list.append(contents_list) img_path_list = [] # 保存下载的图片路径,方便后续图片插入ppt和删除图片 # 下载图片到指定目录 for index, content_img_p in enumerate(xpath_content_p_url_list): p_img_path_list=[] for index_1,img_one in enumerate(content_img_p): one_img_saved_path = os.path.join(ppt_dir_path, "{}_{}.jpg".format(index,index_1)) self.download_img.download_one_img(img_one, one_img_saved_path) p_img_path_list.append(one_img_saved_path) p_img_max_shape = 0 for index,p_img_path in enumerate(p_img_path_list): img_shape = cv2.imread(p_img_path).shape if p_img_max_shape<img_shape[0]: p_img_max_shape = img_shape[0] index_max_img = index img_path_list.append(p_img_path_list[index_max_img]) print(img_path_list) # 获取下载的图片中最大的图片的尺寸 img_shape_max=[0,0] for img_path_one in img_path_list: img_path_one_shape = cv2.imread(img_path_one).shape if img_path_one_shape[0]>img_shape_max[0]: img_shape_max = img_path_one_shape # 把图片统一缩放最大的尺寸 for img_path_one in img_path_list: cv2.imwrite(img_path_one,cv2.resize(cv2.imread(img_path_one),(img_shape_max[1],img_shape_max[0]))) # img_shape_path = img_path_list[0] # 获得图片的尺寸 # img_shape = cv2.imread(img_shape_path).shape # 把像素转换为ppt中的长度单位emu,默认dpi是720 # 1厘米=28.346像素=360000 # 1像素 = 12700emu prs.slide_width = img_shape_max[1] * 12700 # 换算单位 prs.slide_height = img_shape_max[0] * 12700 for img_path_one in img_path_list: left = Inches(0) right = Inches(0) # width = Inches(1) slide_layout = prs.slide_layouts[SLD_LAYOUT_TITLE_AND_CONTENT] slide = prs.slides.add_slide(slide_layout) pic = slide.shapes.add_picture(img_path_one, left, right, ) print("insert {} into pptx success!".format(img_path_one)) # os.remove(img_path_one) for root,dirs,files in os.walk(ppt_dir_path): for file in files: if file.endswith(".jpg"): img_path = os.path.join(root,file) os.remove(img_path) prs.save(os.path.join(ppt_dir_path, title + ".pptx")) print("download {} success!".format(os.path.join(ppt_dir_path, title + ".pptx"))) def create_doc(self, doc_dir_path, sel): # 如果文件夹不存在就创建一个 if not os.path.exists(doc_dir_path): os.makedirs(doc_dir_path) # # 获取完整html # sel = self.get_html_data() # 获取标题 xpath_title = "//div[@class='doc-title']/text()" title = "".join(sel.xpath(xpath_title).extract()).strip() document = docx.Document() # 创建word文档 document.add_heading(title, 0) # 添加标题 # 获取文章内容 xpath_content = "//div[contains(@data-id,'div_class_')]//p" # xpath_content = "//div[contains(@data-id,'div_class_')]/p" contents = sel.xpath(xpath_content) # 判断内容类别 xpath_content_one = self.judge_doc(contents) if xpath_content_one.endswith("text()"): # 如果是文字就直接爬 for content_one in contents: one_p_list = content_one.xpath(xpath_content_one).extract() p_txt = "" for p in one_p_list: if p==" ": p_txt += ('\n'+p) else: p_txt += p # content_txt_one = '*'.join(content_one.xpath(xpath_content_one).extract()) pp = document.add_paragraph(p_txt) document.save(os.path.join(doc_dir_path, '{}.docx'.format(title))) print("download {} success!".format(title)) elif xpath_content_one.endswith("@src"): # 如果是图片就下载图片 for index, content_one in enumerate(contents.xpath(xpath_content_one).extract()): # 获取图片下载路径 content_img_one_url = 'https:' + content_one # 保存图片 saved_image_path = self.download_img.download_one_img(content_img_one_url, os.path.join(doc_dir_path, "{}.jpg".format( index))) document.add_picture(saved_image_path, width=Inches(6)) # 在文档中加入图片 os.remove(saved_image_path) # 删除下载的图片 document.save(os.path.join(doc_dir_path, '{}.docx'.format(title))) # 保存文档到指定位置 print("download {} success!".format(title)) if __name__ == "__main__": start_chrome = StartChrome() # start_chrome.create_doc_txt(doc_dir_path) start_chrome.create_ppt_doc(ppt_dir_path, doc_dir_path)
项目地址
https://github.com/siyangbing/baiduwenku
以上就是python实现百度文库自动化爬取的详细内容,更多关于python 爬取百度文库的资料请关注脚本之家其它相关文章!