当前位置：首页 > news >正文

【新三板年报文本分析】第二辑：从pdf链接的列表中批量下载年报文件

news 2025/9/11 22:04:46

第一辑中已经获取了新三板年报的pdf链接，使用request库进行批量下载。

send_headers为requests的headers，不需要做变动。

在for循环中读取每一行数据的链接数据，创建一个空pdf，将链接指向的pdf文件写入空pdf文件。

for循环内容可以根据个人需求更改for循环里的内容。

#引用 requests文件
import requests
import pandas as pd
import timeyear=2018
stage='创新层'
dataPath='nianbaoURL33968.csv'
df=pd.read_csv(dataPath)send_headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36",
"Connection": "keep-alive",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
"Accept-Language": "zh-CN,zh;q=0.8"}for i in range(33968):if df['year'][i]==year and df['stage'][i]==stage:address=df['url'][i]f=requests.get(address, headers=send_headers ,stream=True, timeout=20)fileName='data\\'+str(year)+stage+'\\'+str(i+1)+'_'+str(df['year'][i])+df['firm'][i]+'.pdf'with open(fileName, "wb") as file:file.write(f.content)file.close()print('序号'+str(i+1)+':'+df['firm'][i]+'完成')time.sleep(0.25)