diff --git a/Day66-75/02.数据采集和解析.md b/Day66-75/02.数据采集和解析.md
index 09998ea..a99a46d 100644
--- a/Day66-75/02.数据采集和解析.md
+++ b/Day66-75/02.数据采集和解析.md
@@ -87,7 +87,7 @@
 
 > 说明：更多内容可以参考BeautifulSoup的[官方文档]()。
 
-### 例子 - 获取知乎发现上的问题链接
+### 实例 - 获取知乎发现上的问题链接
 
 ```Python
 from urllib.parse import urljoin
diff --git a/Day66-75/03.存储数据.md b/Day66-75/03.存储数据.md
index 6849a51..d6f0875 100644
--- a/Day66-75/03.存储数据.md
+++ b/Day66-75/03.存储数据.md
@@ -197,5 +197,63 @@ b'admin'
 
 
 
+### 实例 - 缓存知乎发现上的链接和页面代码
+
+```Python
+
+from hashlib import sha1
+from urllib.parse import urljoin
+
+import pickle
+import re
+import requests
+import zlib
+
+from bs4 import BeautifulSoup
+from redis import Redis
+
+
+def main():
+    # 指定种子页面
+    base_url = 'https://www.zhihu.com/'
+    seed_url = urljoin(base_url, 'explore')
+    # 创建Redis客户端
+    client = Redis(host='1.2.3.4', port=6379, password='1qaz2wsx')
+    # 设置用户代理(否则访问会被拒绝)
+    headers = {'user-agent': 'Baiduspider'}
+    # 通过requests模块发送GET请求并指定用户代理
+    resp = requests.get(seed_url, headers=headers)
+    # 创建BeautifulSoup对象并指定使用lxml作为解析器
+    soup = BeautifulSoup(resp.text, 'lxml')
+    href_regex = re.compile(r'^/question')
+    # 查找所有href属性以/question打头的a标签
+    for a_tag in soup.find_all('a', {'href': href_regex}):
+        # 获取a标签的href属性值并组装完整的URL
+        href = a_tag.attrs['href']
+        full_url = urljoin(base_url, href)
+        # 将URL处理成SHA1摘要(长度固定更简短)
+        hasher = sha1()
+        hasher.update(full_url.encode('utf-8'))
+        field_key = hasher.hexdigest()
+        # 如果Redis的键'zhihu'对应的hash数据类型中没有URL的摘要就访问页面并缓存
+        if not client.hexists('zhihu', field_key):
+            html_page = requests.get(full_url, headers=headers).text
+            # 对页面进行序列化和压缩操作
+            zipped_page = zlib.compress(pickle.dumps(html_page))
+            # 使用hash数据类型保存URL摘要及其对应的页面代码
+            client.hset('zhihu', field_key, zipped_page)
+    # 显示总共缓存了多少个页面
+    print('Total %d question pages found.' % client.hlen('zhihu'))
+
+
+if __name__ == '__main__':
+    main()
+
+```
+
+
+
+
+
 
 
diff --git a/Day66-75/code/example05.py b/Day66-75/code/example05.py
index e48fa94..3349065 100644
--- a/Day66-75/code/example05.py
+++ b/Day66-75/code/example05.py
@@ -50,7 +50,7 @@ def get_matched_parts(page_html, pattern_str, pattern_ignore_case=re.I):
 
 # 开始执行爬虫程序
 def start_crawl(seed_url, match_pattern, *, max_depth=-1):
-    client = redis.Redis(host='120.77.222.217', port=11223, password='1qaz2wsx')
+    client = redis.Redis(host='1.2.3.4', port=6379, password='1qaz2wsx')
     charsets = ('utf-8', 'gbk', 'gb2312')
     logging.info('[Redis ping]', client.ping())
     url_list = [seed_url]
diff --git a/Day66-75/code/example06.py b/Day66-75/code/example06.py
new file mode 100644
index 0000000..237cced
--- /dev/null
+++ b/Day66-75/code/example06.py
@@ -0,0 +1,49 @@
+
+from hashlib import sha1
+from urllib.parse import urljoin
+
+import pickle
+import re
+import requests
+import zlib
+
+from bs4 import BeautifulSoup
+from redis import Redis
+
+
+def main():
+    # 指定种子页面
+    base_url = 'https://www.zhihu.com/'
+    seed_url = urljoin(base_url, 'explore')
+    # 创建Redis客户端
+    client = Redis(host='1.2.3.4', port=6379, password='1qaz2wsx')
+    # 设置用户代理
+    headers = {'user-agent': 'Baiduspider'}
+    # 通过requests模块发送GET请求并指定用户代理
+    resp = requests.get(seed_url, headers=headers)
+    # 创建BeautifulSoup对象并指定使用lxml作为解析器
+    soup = BeautifulSoup(resp.text, 'lxml')
+    href_regex = re.compile(r'^/question')
+    # 查找所有href属性以/question打头的a标签
+    for a_tag in soup.find_all('a', {'href': href_regex}):
+        # 获取a标签的href属性值并组装完整的URL
+        href = a_tag.attrs['href']
+        full_url = urljoin(base_url, href)
+        # 将URL处理成SHA1摘要(长度固定更简短)
+        hasher = sha1()
+        hasher.update(full_url.encode('utf-8'))
+        field_key = hasher.hexdigest()
+        # 如果Redis的键'zhihu'对应的hash数据类型中没有URL的摘要就访问页面并缓存
+        if not client.hexists('zhihu', field_key):
+            html_page = requests.get(full_url, headers=headers).text
+            # 对页面进行序列化和压缩操作
+            zipped_page = zlib.compress(pickle.dumps(html_page))
+            # 使用hash数据类型保存URL摘要及其对应的页面代码
+            client.hset('zhihu', field_key, zipped_page)
+    # 显示总共缓存了多少个页面
+    print('Total %d question pages found.' % client.hlen('zhihu'))
+
+
+if __name__ == '__main__':
+    main()
+