下面为您详细讲解如何用Python多线程爬取豆瓣影评API接口:
1. 准备工作
首先,为了爬取豆瓣影评API接口,我们需要先准备以下工作:
- 安装Python3以及requests、beautifulsoup4等必要的Python库;
- 申请豆瓣API接口的访问权限,并拿到访问令牌Token;
- 了解Python的多线程编程原理和实现方法。
2. 编写代码
接下来,我们可以用Python编写多线程爬取豆瓣影评API接口的代码了。具体代码实现过程如下:
2.1. 导入库和设置参数
import requests
import threading
from bs4 import BeautifulSoup
url = 'https://api.douban.com/v2/movie/subject/{subject_id}/reviews?start={start_index}&count={page_size}&apikey={apikey}'
subject_id = 1292052 # 电影《肖申克的救赎》的豆瓣ID
page_size = 20 # 每页数量
start_index = 0 # 起始索引
apikey = '这里填写你的豆瓣API访问令牌'
2.2. 定义方法
def crawl_reviews(start):
res = requests.get(url.format(subject_id=subject_id, start_index=start, page_size=page_size, apikey=apikey))
soup = BeautifulSoup(res.text, 'html.parser')
reviews = soup.find_all('review')
for review in reviews:
# 这里可以对每一条影评的元素进行处理
print(review.contents[1].text)
2.3. 多线程爬取数据
threads = []
for i in range(0, 100, page_size): # 假设要爬取前 100 条评论
thread = threading.Thread(target=crawl_reviews, args=(i,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
3. 示例说明
以上就是爬取豆瓣影评API接口的完整攻略。接下来,我们给出两个示例说明,帮助大家更好的理解和使用这些代码:
示例1:爬取《肖申克的救赎》影评的标题
def crawl_reviews_title(start):
res = requests.get(url.format(subject_id=subject_id, start_index=start, page_size=page_size, apikey=apikey))
soup = BeautifulSoup(res.text, 'html.parser')
reviews = soup.find_all('review')
for review in reviews:
# 爬取影评的标题
print(review.find('title').text)
threads = []
for i in range(0, 100, page_size): # 假设要爬取前 100 条评论
thread = threading.Thread(target=crawl_reviews_title, args=(i,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
示例2:爬取电影《霸王别姬》的影评
url = 'https://api.douban.com/v2/movie/subject/{subject_id}/reviews?start={start_index}&count={page_size}&apikey={apikey}'
subject_id = 1291546 # 电影《霸王别姬》的豆瓣ID
threads = []
for i in range(0, 100, page_size): # 假设要爬取前 100 条评论
thread = threading.Thread(target=crawl_reviews, args=(i,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
以上就是两个简单的示例,供大家参考。希望能对大家理解和使用此文提供帮助。
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