Python 爬虫入门 Day 3 - 实现爬虫多页抓取与翻页逻辑

Python 第二阶段 - 爬虫入门

🎯 今日目标

掌握网页分页的原理和定位“下一页”的链接
能编写循环逻辑自动翻页抓取内容
将多页抓取整合到爬虫系统中

📘 学习内容详解

🔁 网页分页逻辑介绍
以 quotes.toscrape.com 为例：

首页链接：https://quotes.toscrape.com/
下一页链接：<li class="next"><a href="/page/2/">Next</a></li>

我们可以通过 BeautifulSoup 查找li.next > a['href'] 获取下一页地址，并拼接 URL。

🧪 核心思路伪代码

while True:1. 请求当前页 URL2. 解析 HTML，提取所需内容3. 判断是否存在下一页链接- 如果有，拼接新 URL，继续循环- 如果没有，break 退出循环

💻 示例代码（多页抓取）

import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoindef scrape_all_quotes(start_url):quotes = []url = start_urlwhile url:print(f"正在抓取：{url}")res = requests.get(url)soup = BeautifulSoup(res.text, 'lxml')for quote_block in soup.find_all("div", class_="quote"):quote_text = quote_block.find("span", class_="text").text.strip()author = quote_block.find("small", class_="author").text.strip()tags = [tag.text for tag in quote_block.find_all("a", class_="tag")]quotes.append({"quote": quote_text,"author": author,"tags": tags})# 查找下一页next_link = soup.select_one("li.next > a")if next_link:next_href = next_link['href']url = urljoin(url, next_href)  # 拼接为完整URLelse:url = Nonereturn quotesif __name__ == "__main__":all_quotes = scrape_all_quotes("https://quotes.toscrape.com/")print(f"共抓取到 {len(all_quotes)} 条名言")# 示例输出前3条for quote in all_quotes[:3]:print(f"\n{quote['quote']}\n—— {quote['author']}｜标签：{', '.join(quote['tags'])}")

🧠 今日练习任务

修改已有爬虫，实现抓取所有页面的名言数据
使用 len() 查看共抓取多少条数据

额外挑战：将所有数据保存为 JSON 文件（使用 json.dump）

练习代码：

import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
import jsondef scrape_all_quotes(start_url):quotes = []url = start_urlwhile url:print(f"抓取页面：{url}")response = requests.get(url)soup = BeautifulSoup(response.text, "lxml")quote_blocks = soup.find_all("div", class_="quote")for block in quote_blocks:text = block.find("span", class_="text").text.strip()author = block.find("small", class_="author").text.strip()tags = [tag.text for tag in block.find_all("a", class_="tag")]quotes.append({"quote": text,"author": author,"tags": tags})# 找到下一页链接next_link = soup.select_one("li.next > a")if next_link:next_href = next_link['href']url = urljoin(url, next_href)else:url = Nonereturn quotesif __name__ == "__main__":start_url = "https://quotes.toscrape.com/"all_quotes = scrape_all_quotes(start_url)print(f"\n共抓取到 {len(all_quotes)} 条名言。\n")# 保存到 JSON 文件output_file = "quotes.json"with open(output_file, "w", encoding="utf-8") as f:json.dump(all_quotes, f, ensure_ascii=False, indent=2)print(f"数据已保存到文件：{output_file}")

运行输出：

正在抓取：https://quotes.toscrape.com/
正在抓取：https://quotes.toscrape.com/page/2/
正在抓取：https://quotes.toscrape.com/page/3/
正在抓取：https://quotes.toscrape.com/page/4/
正在抓取：https://quotes.toscrape.com/page/5/
正在抓取：https://quotes.toscrape.com/page/6/
正在抓取：https://quotes.toscrape.com/page/7/
正在抓取：https://quotes.toscrape.com/page/8/
正在抓取：https://quotes.toscrape.com/page/9/
正在抓取：https://quotes.toscrape.com/page/10/
共抓取到 100 条名言
数据已保存到文件：quotes.json

quotes.json文件输出：

[{"quote": "“The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking.”","author": "Albert Einstein","tags": ["change","deep-thoughts","thinking","world"]},{"quote": "“It is our choices, Harry, that show what we truly are, far more than our abilities.”","author": "J.K. Rowling","tags": ["abilities","choices"]},{"quote": "“There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle.”","author": "Albert Einstein","tags": ["inspirational","life","live","miracle","miracles"]},... # 此处省去95条数据{"quote": "“A person's a person, no matter how small.”","author": "Dr. Seuss","tags": ["inspirational"]},{"quote": "“... a mind needs books as a sword needs a whetstone, if it is to keep its edge.”","author": "George R.R. Martin","tags": ["books","mind"]}