在Python爬虫开发的面试过程中,对requests、BeautifulSoup与Scrapy这三个核心库的理解和应用能力是面试官重点考察的内容。本篇文章将深入浅出地解析这三个工具,探讨面试中常见的问题、易错点及应对策略,并通过代码示例进一步加深理解。
常见问题:
易错点与避免策略:
requests.get()
等方法捕获requests.exceptions.RequestException
,确保程序在遇到网络问题时能优雅退出。text
或json()
属性,以确保数据获取成功。代码示例:
import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
def fetch_data(url, retries=3, backoff_factor=0.5):
session = requests.Session()
retry_strategy = Retry(
total=retries,
status_forcelist=[429, 500, 502, 503, 504],
method_whitelist=["GET", "POST"],
backoff_factor=backoff_factor
)
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)
try:
response = session.get(url, timeout=10)
response.raise_for_status() # Raise for non-2xx status codes
return response.json() # Assuming JSON response
except requests.exceptions.RequestException as e:
print(f"Request failed: {e}")
return None
常见问题:
lxml
作为解析器,避免不必要的全文搜索。易错点与避免策略:
代码示例:
from bs4 import BeautifulSoup
import requests
def parse_html(html):
soup = BeautifulSoup(html, 'lxml') # 使用lxml解析器提高效率
title = soup.find('title').get_text().strip() # 获取页面标题
article_links = [a['href'] for a in soup.select('.article-list a')] # 使用CSS选择器提取文章链接
return title, article_links
常见问题:
易错点与避免策略:
start_requests
、parse
等方法,确保爬取逻辑正确。DOWNLOAD_DELAY
)、并发数(CONCURRENT_REQUESTS_PER_DOMAIN
)等参数,遵守网站robots.txt规则,避免被封禁。代码示例:
import scrapy
class ExampleSpider(scrapy.Spider):
name = 'example'
start_urls = ['https://example.com/articles']
def parse(self, response):
for article in response.css('.article'):
title = article.css('.article-title::text').get()
author = article.css('.article-author::text').get()
link = article.css('.article-link::attr(href)').get()
yield {
'title': title,
'author': author,
'link': response.urljoin(link), # 正确处理相对链接
}
next_page = response.css('.pagination a.next::attr(href)').get()
if next_page is not None:
yield response.follow(next_page, self.parse)
总结,掌握requests、BeautifulSoup与Scrapy的正确使用方法和常见问题应对策略,是提升Python爬虫面试成功率的关键。通过深入理解上述内容并结合实际项目经验,面试者将能展现出扎实的技术功底和良好的编程习惯。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。