python爬虫题目

网站

https://project-iprj6705f17ebcfad66461658c5c-8000.preview.node01.inscode.run/

第一道题爬取api并且保存

python 复制代码
import requests,re
import json
url = "https://project-iprj6705f17ebcfad66461658c5c-8000.preview.node01.inscode.run/tasks/api/"
headers= {

'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'
}

res = requests.get(url,headers=headers).json()
with open('1.json','w') as f:
    f.write(json.dumps(res,ensure_ascii=False))

第二道爬取所有图片

python 复制代码
from urllib.parse import urljoin
import requests,re
from urllib.parse import urlparse
import json
url = "https://project-iprj6705f17ebcfad66461658c5c-8000.preview.node01.inscode.run/tasks/api/"
headers= {

'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'
}

res = requests.get(url,headers=headers).json()
list1 = res['articles']
list2=[]
for i in list1:
    list2.append(i['image'])
base_url ="https://"+urlparse(url).netloc

for image in list2:
    image_url = urljoin(base_url,image)
    img = requests.get(image_url).content
    img_name = image.split("/")[-1]
    with open(img_name,'wb') as f:
        f.write(img)

第三道 爬取题目和摘要

python 复制代码
import requests,csv
from lxml import etree
with open("data.csv","w",newline='',encoding='gbk') as f:
    writer = csv.writer(f)
    writer.writerow(["题目","再要"])
url = "https://project-iprj6705f17ebcfad66461658c5c-8000.preview.node01.inscode.run/tasks/article/list/"
headers= {

'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36'
}

res = requests.get(url,headers=headers)
html = etree.HTML(res.text)
wen_zhang = html.xpath('//div[@class="lab-block"]//a//@href')
with open("data.csv","w",newline='',encoding='gbk') as f:
    writer = csv.writer(f)
    writer.writerow(["ti","zai"])



for i in wen_zhang:
    url_l = "https://project-iprj6705f17ebcfad66461658c5c-8000.preview.node01.inscode.run/"+i
    result = requests.get(url_l,headers=headers)
    select = etree.HTML(result.text)
    timu = select.xpath('//h2/text()')[0]
    zaiyao = select.xpath('//p//text()')
    result = "".join(zaiyao)
    with open("data.csv", "a", newline='',encoding='utf-8') as f:
        writer = csv.writer(f)
        writer.writerow([timu, result])
相关推荐
沐知全栈开发5 分钟前
Bootstrap4 表格详解
开发语言
CryptoRzz16 分钟前
欧美(美股、加拿大股票、墨西哥股票)股票数据接口文档
java·服务器·开发语言·数据库·区块链
久未18 分钟前
Pytorch autoload机制自动加载树外扩展(Autoload Device Extension)
人工智能·pytorch·python
java1234_小锋34 分钟前
TensorFlow2 Python深度学习 - TensorFlow2框架入门 - 使用Keras.Model来定义模型
python·深度学习·tensorflow·tensorflow2
Learn Beyond Limits38 分钟前
TensorFlow Implementation of Content-Based Filtering|基于内容过滤的TensorFlow实现
人工智能·python·深度学习·机器学习·ai·tensorflow·吴恩达
java1234_小锋38 分钟前
TensorFlow2 Python深度学习 - 函数式API(Functional API)
python·深度学习·tensorflow·tensorflow2
Never_Satisfied39 分钟前
在JavaScript / HTML中,div容器在内容过多时不显示超出的部分
开发语言·javascript·html
Y2003091639 分钟前
使用 PyTorch 实现 MNIST 手写数字识别
python
马尚来1 小时前
移动端自动化测试Appium,从入门到项目实战Python版
python
天才测试猿1 小时前
WebUI自动化测试:POM设计模式全解析
自动化测试·软件测试·python·selenium·测试工具·设计模式·测试用例