在Python中,使用Go语言进行网络爬虫的错误处理,可以通过以下几种方式实现:
- 使用try-except语句捕获异常:
import requests from bs4 import BeautifulSoup def get_html(url): try: response = requests.get(url) response.raise_for_status() # 如果请求失败,抛出异常 return response.text except requests.exceptions.RequestException as e: print(f"请求错误:{e}") return None except Exception as e: print(f"其他错误:{e}") return None def parse_html(html): try: soup = BeautifulSoup(html, 'html.parser') # 解析逻辑 except Exception as e: print(f"解析错误:{e}") url = "https://example.com" html = get_html(url) if html: parse_html(html)
- 使用日志记录错误:
import logging import requests from bs4 import BeautifulSoup logging.basicConfig(filename='error.log', level=logging.ERROR) def get_html(url): try: response = requests.get(url) response.raise_for_status() return response.text except requests.exceptions.RequestException as e: logging.error(f"请求错误:{e}") return None except Exception as e: logging.error(f"其他错误:{e}") return None def parse_html(html): try: soup = BeautifulSoup(html, 'html.parser') # 解析逻辑 except Exception as e: logging.error(f"解析错误:{e}") url = "https://example.com" html = get_html(url) if html: parse_html(html)
- 使用第三方库(如
ratelimiter
)限制爬虫速度,避免触发目标网站的限制策略,从而减少错误:
from ratelimiter import RateLimiter import requests from bs4 import BeautifulSoup rate_limiter = RateLimiter(max_calls=10, period=1) def get_html(url): try: with rate_limiter: response = requests.get(url) response.raise_for_status() return response.text except requests.exceptions.RequestException as e: print(f"请求错误:{e}") return None except Exception as e: print(f"其他错误:{e}") return None def parse_html(html): try: soup = BeautifulSoup(html, 'html.parser') # 解析逻辑 except Exception as e: print(f"解析错误:{e}") url = "https://example.com" html = get_html(url) if html: parse_html(html)
通过这些方法,可以有效地处理Python Go爬虫中的错误。