diff --git a/2.500强公司信息爬取.py b/2.500强公司信息爬取.py
new file mode 100644
index 0000000..e3a26ea
--- /dev/null
+++ b/2.500强公司信息爬取.py
@@ -0,0 +1,39 @@
+import requests
+import pandas as pd
+import matplotlib.pyplot as plt
+import re
+plt.rcParams['font.sans-serif'] = ["SimHei"]
+def crawl_data():
+
+    response = requests.get("https://top.chinaz.com/gongsitop/index_500top.html")  
+    data = response.text
+    company_names = re.findall('<a.*?target="_blank">(.+?)</a></h3>', data)
+    legal_representatives = re.findall('法定代表人：</span>(.+?)</p>',data)
+    registration_times = re.findall('注册时间：</span>(.+?)</p>', data)
+    securities =  re.findall('证券类别：</span>(.+?)</p>', data)
+
+    df = pd.DataFrame({
+        "公司名": company_names,
+        "法定代表人": legal_representatives,
+        "注册时间": registration_times,
+        "证券类别": securities
+    })
+
+    df.to_csv("500qiang.csv", index=False)
+
+def analyze_data():
+    df = pd.read_csv("500qiang.csv")
+    securities_counts = df["证券类别"].value_counts()
+    total = len(df)
+    proportions = securities_counts / total
+
+    labels = securities_counts.index
+    sizes = proportions * 100
+
+    plt.pie(sizes, labels=labels, autopct='%1.1f%%')
+    plt.axis('equal')
+    plt.title("500 强公司证券占比")
+    plt.show()
+
+crawl_data()
+analyze_data()
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