帮我写一个多线程爬虫python代码
时间: 2023-03-12 12:09:30 浏览: 85
答:以下是一段多线程爬虫python代码:import threading
import requestsdef fetch_content(url):
response = requests.get(url)
print(response.content)urls = [
'http://example.com/1',
'http://example.com/2',
'http://example.com/3',
]threads = [threading.Thread(target=fetch_content, args=(url,)) for url in urls]for thread in threads:
thread.start()for thread in threads:
thread.join()
相关问题
python写一个多线程爬虫
可以使用Python的多线程库threading来实现多线程爬虫。以下是一个简单的示例代码:
```python
import threading
import requests
def fetch_url(url):
response = requests.get(url)
print(response.text)
urls = ['https://www.google.com', 'https://www.baidu.com', 'https://www.yahoo.com']
threads = []
for url in urls:
t = threading.Thread(target=fetch_url, args=(url,))
threads.append(t)
t.start()
for t in threads:
t.join()
```
这个代码会创建三个线程,每个线程都会去请求一个URL并打印出响应内容。最后,主线程会等待所有子线程执行完毕后再退出。
python多线程爬虫代码
以下是一个简单的 Python 多线程爬虫代码示例:
```python
import requests
from bs4 import BeautifulSoup
import threading
def get_url(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
links = soup.find_all('a')
for link in links:
print(link.get('href'))
urls = ['https://www.baidu.com', 'https://www.google.com', 'https://www.bing.com']
threads = []
for url in urls:
t = threading.Thread(target=get_url, args=(url,))
threads.append(t)
t.start()
for t in threads:
t.join()
```
这个代码使用了 requests 库和 BeautifulSoup 库来获取网页内容和解析 HTML,使用了 threading 库来实现多线程。在这个例子中,我们定义了一个 get_url 函数来获取每个网页的链接,并使用多线程来同时获取多个网页的链接。