{"id":1078877,"date":"2025-01-08T12:15:43","date_gmt":"2025-01-08T04:15:43","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1078877.html"},"modified":"2025-01-08T12:15:46","modified_gmt":"2025-01-08T04:15:46","slug":"python%e5%a6%82%e4%bd%95%e7%88%ac%e5%8f%96%e4%b8%8a%e5%b8%82%e5%85%ac%e5%8f%b8%e6%8a%a5%e8%a1%a8-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1078877.html","title":{"rendered":"python\u5982\u4f55\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182209\/0ab6316f-bd2d-4e93-8ac5-a0753b3b9a39.webp\" alt=\"python\u5982\u4f55\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u901a\u8fc7\u516c\u5f00API\u83b7\u53d6\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u6570\u636e\u6e90\u3001\u4f7f\u7528\u7f51\u7edc\u722c\u866b\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528\u7f51\u7edc\u722c\u866b\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u76f4\u63a5\u4ece\u516c\u53f8\u5b98\u65b9\u7f51\u7ad9\u3001\u8bc1\u5238\u4ea4\u6613\u6240\u7f51\u7ad9\u3001\u4ee5\u53ca\u5176\u4ed6\u91d1\u878d\u6570\u636e\u63d0\u4f9b\u5546\u7684\u7f51\u7ad9\u4e0a\u83b7\u53d6\u6700\u65b0\u7684\u62a5\u8868\u6570\u636e\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u7f51\u7edc\u722c\u866b\u6765\u83b7\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u83b7\u53d6\u76ee\u6807\u7f51\u7ad9URL\u548c\u5206\u6790\u7f51\u9875\u7ed3\u6784<\/h3>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u722c\u53d6\u6570\u636e\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u5b9a\u76ee\u6807\u7f51\u7ad9\u7684URL\uff0c\u5e76\u4e14\u5206\u6790\u7f51\u9875\u7684\u7ed3\u6784\u3002\u5bf9\u4e8e\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\uff0c\u901a\u5e38\u53ef\u4ee5\u5728\u8bc1\u5238\u4ea4\u6613\u6240\u5b98\u65b9\u7f51\u7ad9\u3001\u4e0a\u5e02\u516c\u53f8\u5b98\u65b9\u7f51\u7ad9\u3001\u91d1\u878d\u6570\u636e\u63d0\u4f9b\u5546\u7b49\u7f51\u7ad9\u4e0a\u627e\u5230\u3002\u4f8b\u5982\uff1a\u5728\u4e2d\u56fd\uff0c\u4e0a\u6d77\u8bc1\u5238\u4ea4\u6613\u6240\u548c\u6df1\u5733\u8bc1\u5238\u4ea4\u6613\u6240\u7684\u7f51\u7ad9\u4e0a\u53ef\u4ee5\u627e\u5230\u5927\u91cf\u4e0a\u5e02\u516c\u53f8\u7684\u62a5\u8868\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u6d4f\u89c8\u5668\u6253\u5f00\u76ee\u6807\u7f51\u7ad9\uff0c\u627e\u5230\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u9875\u9762\uff0c\u53f3\u952e\u70b9\u51fb\u9875\u9762\u9009\u62e9\u201c\u68c0\u67e5\u201d\u6216\u8005\u201c\u67e5\u770b\u9875\u9762\u6e90\u4ee3\u7801\u201d\uff0c\u5206\u6790\u7f51\u9875\u7684HTML\u7ed3\u6784\uff0c\u627e\u5230\u62a5\u8868\u6570\u636e\u6240\u5728\u7684HTML\u6807\u7b7e\u548c\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528Python\u5e93\u8fdb\u884c\u6570\u636e\u722c\u53d6<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u5e38\u7528\u7684\u7f51\u7edc\u722c\u866b\u5e93\u6709<code>requests<\/code>\u3001<code>BeautifulSoup<\/code>\u3001<code>Selenium<\/code>\u7b49\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528<code>requests<\/code>\u548c<code>BeautifulSoup<\/code>\u5e93\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u6240\u9700\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86\u9700\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install requests<\/p>\n<p>pip install beautifulsoup4<\/p>\n<p>pip install pandas<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u7f16\u5199\u722c\u866b\u4ee3\u7801<\/h4>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u6f14\u793a\u5982\u4f55\u4ece\u4e00\u4e2a\u5047\u8bbe\u7684\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u9875\u9762\u722c\u53d6\u62a5\u8868\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import requests<\/p>\n<p>from bs4 import BeautifulSoup<\/p>\n<p>import pandas as pd<\/p>\n<h2><strong>\u76ee\u6807URL<\/strong><\/h2>\n<p>url = &#39;https:\/\/www.example.com\/financial-reports&#39;<\/p>\n<h2><strong>\u53d1\u9001HTTP\u8bf7\u6c42<\/strong><\/h2>\n<p>response = requests.get(url)<\/p>\n<p>response.r<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>se_for_status()  # \u68c0\u67e5\u8bf7\u6c42\u662f\u5426\u6210\u529f<\/p>\n<h2><strong>\u89e3\u6790HTML<\/strong><\/h2>\n<p>soup = BeautifulSoup(response.text, &#39;html.parser&#39;)<\/p>\n<h2><strong>\u67e5\u627e\u62a5\u8868\u6570\u636e<\/strong><\/h2>\n<h2><strong>\u5047\u8bbe\u62a5\u8868\u6570\u636e\u5728\u4e00\u4e2a\u8868\u683c\u4e2d<\/strong><\/h2>\n<p>table = soup.find(&#39;table&#39;, {&#39;class&#39;: &#39;financial-report-table&#39;})<\/p>\n<h2><strong>\u63d0\u53d6\u8868\u683c\u4e2d\u7684\u6570\u636e<\/strong><\/h2>\n<p>data = []<\/p>\n<p>headers = [header.text for header in table.find_all(&#39;th&#39;)]<\/p>\n<p>rows = table.find_all(&#39;tr&#39;)[1:]  # \u8df3\u8fc7\u8868\u5934\u884c<\/p>\n<p>for row in rows:<\/p>\n<p>    cols = row.find_all(&#39;td&#39;)<\/p>\n<p>    cols = [col.text.strip() for col in cols]<\/p>\n<p>    data.append(cols)<\/p>\n<h2><strong>\u5c06\u6570\u636e\u5b58\u50a8\u5230DataFrame<\/strong><\/h2>\n<p>df = pd.DataFrame(data, columns=headers)<\/p>\n<h2><strong>\u6253\u5370\u62a5\u8868\u6570\u636e<\/strong><\/h2>\n<p>print(df)<\/p>\n<h2><strong>\u4fdd\u5b58\u5230Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df.to_excel(&#39;financial_reports.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5047\u8bbe\u62a5\u8868\u6570\u636e\u5728\u4e00\u4e2a\u5e26\u6709\u7c7b\u540d\u4e3a<code>financial-report-table<\/code>\u7684HTML\u8868\u683c\u4e2d\u3002\u9996\u5148\u53d1\u9001HTTP\u8bf7\u6c42\u83b7\u53d6\u7f51\u9875\u5185\u5bb9\uff0c\u7136\u540e\u4f7f\u7528<code>BeautifulSoup<\/code>\u89e3\u6790HTML\uff0c\u627e\u5230\u62a5\u8868\u6570\u636e\u6240\u5728\u7684\u8868\u683c\uff0c\u63d0\u53d6\u8868\u683c\u4e2d\u7684\u6570\u636e\u5e76\u5b58\u50a8\u5230Pandas DataFrame\u4e2d\uff0c\u6700\u540e\u5c06\u6570\u636e\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u5904\u7406\u52a8\u6001\u7f51\u9875<\/h3>\n<\/p>\n<p><p>\u6709\u4e9b\u7f51\u7ad9\u7684\u5185\u5bb9\u662f\u901a\u8fc7JavaScript\u52a8\u6001\u52a0\u8f7d\u7684\uff0c\u5bf9\u4e8e\u8fd9\u79cd\u60c5\u51b5\uff0c<code>requests<\/code>\u5e93\u65e0\u6cd5\u76f4\u63a5\u83b7\u53d6\u5b8c\u6574\u7684\u7f51\u9875\u5185\u5bb9\u3002\u8fd9\u65f6\u53ef\u4ee5\u4f7f\u7528<code>Selenium<\/code>\u5e93\u6765\u6a21\u62df\u6d4f\u89c8\u5668\u884c\u4e3a\uff0c\u52a0\u8f7d\u52a8\u6001\u5185\u5bb9\u3002<\/p>\n<\/p>\n<p><h4>\u5b89\u88c5Selenium\u548c\u6d4f\u89c8\u5668\u9a71\u52a8<\/h4>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install selenium<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0b\u8f7d\u5e76\u5b89\u88c5\u5bf9\u5e94\u7684\u6d4f\u89c8\u5668\u9a71\u52a8\uff0c\u4f8b\u5982Chrome\u6d4f\u89c8\u5668\u9a71\u52a8<code>chromedriver<\/code>\u3002<\/p>\n<\/p>\n<p><h4>\u4f7f\u7528Selenium\u722c\u53d6\u52a8\u6001\u7f51\u9875<\/h4>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528<code>Selenium<\/code>\u722c\u53d6\u52a8\u6001\u7f51\u9875\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from selenium import webdriver<\/p>\n<p>from bs4 import BeautifulSoup<\/p>\n<p>import pandas as pd<\/p>\n<h2><strong>\u914d\u7f6eSelenium<\/strong><\/h2>\n<p>options = webdriver.ChromeOptions()<\/p>\n<p>options.add_argument(&#39;--headless&#39;)  # \u65e0\u5934\u6a21\u5f0f<\/p>\n<h2><strong>\u542f\u52a8\u6d4f\u89c8\u5668<\/strong><\/h2>\n<p>driver = webdriver.Chrome(options=options)<\/p>\n<h2><strong>\u76ee\u6807URL<\/strong><\/h2>\n<p>url = &#39;https:\/\/www.example.com\/financial-reports&#39;<\/p>\n<h2><strong>\u6253\u5f00\u7f51\u9875<\/strong><\/h2>\n<p>driver.get(url)<\/p>\n<h2><strong>\u7b49\u5f85\u7f51\u9875\u52a0\u8f7d\u5b8c\u6210\uff08\u6839\u636e\u9700\u8981\u8bbe\u7f6e\u7b49\u5f85\u65f6\u95f4\u6216\u6761\u4ef6\uff09<\/strong><\/h2>\n<p>driver.implicitly_wait(10)  # \u7b49\u5f8510\u79d2<\/p>\n<h2><strong>\u83b7\u53d6\u7f51\u9875\u5185\u5bb9<\/strong><\/h2>\n<p>html = driver.page_source<\/p>\n<h2><strong>\u5173\u95ed\u6d4f\u89c8\u5668<\/strong><\/h2>\n<p>driver.quit()<\/p>\n<h2><strong>\u89e3\u6790HTML<\/strong><\/h2>\n<p>soup = BeautifulSoup(html, &#39;html.parser&#39;)<\/p>\n<h2><strong>\u67e5\u627e\u62a5\u8868\u6570\u636e<\/strong><\/h2>\n<p>table = soup.find(&#39;table&#39;, {&#39;class&#39;: &#39;financial-report-table&#39;})<\/p>\n<h2><strong>\u63d0\u53d6\u8868\u683c\u4e2d\u7684\u6570\u636e<\/strong><\/h2>\n<p>data = []<\/p>\n<p>headers = [header.text for header in table.find_all(&#39;th&#39;)]<\/p>\n<p>rows = table.find_all(&#39;tr&#39;)[1:]<\/p>\n<p>for row in rows:<\/p>\n<p>    cols = row.find_all(&#39;td&#39;)<\/p>\n<p>    cols = [col.text.strip() for col in cols]<\/p>\n<p>    data.append(cols)<\/p>\n<h2><strong>\u5c06\u6570\u636e\u5b58\u50a8\u5230DataFrame<\/strong><\/h2>\n<p>df = pd.DataFrame(data, columns=headers)<\/p>\n<h2><strong>\u6253\u5370\u62a5\u8868\u6570\u636e<\/strong><\/h2>\n<p>print(df)<\/p>\n<h2><strong>\u4fdd\u5b58\u5230Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df.to_excel(&#39;financial_reports.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528<code>Selenium<\/code>\u542f\u52a8\u6d4f\u89c8\u5668\uff0c\u6253\u5f00\u76ee\u6807\u7f51\u9875\uff0c\u7b49\u5f85\u7f51\u9875\u52a0\u8f7d\u5b8c\u6210\u540e\u83b7\u53d6\u7f51\u9875\u5185\u5bb9\uff0c\u7136\u540e\u4f7f\u7528<code>BeautifulSoup<\/code>\u89e3\u6790HTML\u5e76\u63d0\u53d6\u62a5\u8868\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5904\u7406\u53cd\u722c\u866b\u673a\u5236<\/h3>\n<\/p>\n<p><p>\u6709\u4e9b\u7f51\u7ad9\u4f1a\u91c7\u53d6\u53cd\u722c\u866b\u673a\u5236\uff0c\u9650\u5236\u9891\u7e41\u7684\u722c\u53d6\u884c\u4e3a\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u53cd\u722c\u866b\u673a\u5236\u53ca\u5e94\u5bf9\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h4>1. User-Agent\u5934<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u8bbe\u7f6e<code>User-Agent<\/code>\u5934\u6765\u4f2a\u88c5\u6210\u6d4f\u89c8\u5668\u8bf7\u6c42\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">headers = {<\/p>\n<p>    &#39;User-Agent&#39;: &#39;Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/85.0.4183.102 Safari\/537.36&#39;<\/p>\n<p>}<\/p>\n<p>response = requests.get(url, headers=headers)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u8bf7\u6c42\u95f4\u9694<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u8bbe\u7f6e\u8bf7\u6c42\u95f4\u9694\uff0c\u907f\u514d\u9891\u7e41\u8bf7\u6c42\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import time<\/p>\n<p>for i in range(10):<\/p>\n<p>    response = requests.get(url, headers=headers)<\/p>\n<p>    # \u5904\u7406\u6570\u636e<\/p>\n<p>    time.sleep(5)  # \u7b49\u5f855\u79d2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. IP\u4ee3\u7406<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u4f7f\u7528IP\u4ee3\u7406\uff0c\u907f\u514dIP\u88ab\u5c01\u7981\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">proxies = {<\/p>\n<p>    &#39;http&#39;: &#39;http:\/\/your_proxy_ip:port&#39;,<\/p>\n<p>    &#39;https&#39;: &#39;https:\/\/your_proxy_ip:port&#39;<\/p>\n<p>}<\/p>\n<p>response = requests.get(url, headers=headers, proxies=proxies)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u722c\u53d6\u5230\u7684\u62a5\u8868\u6570\u636e\u901a\u5e38\u9700\u8981\u8fdb\u4e00\u6b65\u6e05\u6d17\u548c\u5206\u6790\u3002\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h4>\u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u53bb\u9664\u7a7a\u503c<\/p>\n<p>df.dropna(inplace=True)<\/p>\n<h2><strong>\u8f6c\u6362\u6570\u636e\u7c7b\u578b<\/strong><\/h2>\n<p>df[&#39;Revenue&#39;] = df[&#39;Revenue&#39;].astype(float)<\/p>\n<h2><strong>\u5904\u7406\u65e5\u671f\u683c\u5f0f<\/strong><\/h2>\n<p>df[&#39;Date&#39;] = pd.to_datetime(df[&#39;Date&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\"># \u6309\u5e74\u4efd\u6c47\u603b\u8425\u6536<\/p>\n<p>annual_revenue = df.groupby(df[&#39;Date&#39;].dt.year)[&#39;Revenue&#39;].sum()<\/p>\n<h2><strong>\u8ba1\u7b97\u540c\u6bd4\u589e\u957f\u7387<\/strong><\/h2>\n<p>annual_revenue_pct = annual_revenue.pct_change() * 100<\/p>\n<p>print(annual_revenue)<\/p>\n<p>print(annual_revenue_pct)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528Python\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u6d89\u53ca\u591a\u4e2a\u6b65\u9aa4\uff0c\u5305\u62ec\u786e\u5b9a\u76ee\u6807\u7f51\u7ad9\u3001\u5206\u6790\u7f51\u9875\u7ed3\u6784\u3001\u7f16\u5199\u722c\u866b\u4ee3\u7801\u3001\u5904\u7406\u52a8\u6001\u7f51\u9875\u3001\u5e94\u5bf9\u53cd\u722c\u866b\u673a\u5236\u3001\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790\u7b49\u3002\u901a\u8fc7\u5408\u7406\u4f7f\u7528<code>requests<\/code>\u3001<code>BeautifulSoup<\/code>\u3001<code>Selenium<\/code>\u7b49\u5e93\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u83b7\u53d6\u548c\u5904\u7406\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u6570\u636e\uff0c\u4e3a\u91d1\u878d\u6570\u636e\u5206\u6790\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u83b7\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u7684\u76f8\u5173\u6570\u636e\uff1f<\/strong><br \/>\u8981\u83b7\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u6570\u636e\uff0c\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528\u5404\u5927\u91d1\u878d\u7f51\u7ad9\u7684API\u6216\u89e3\u6790\u7f51\u9875\u6570\u636e\u3002\u5e38\u7528\u7684Python\u5e93\u5305\u62ec<code>requests<\/code>\u7528\u4e8e\u53d1\u9001\u8bf7\u6c42\uff0c<code>BeautifulSoup<\/code>\u7528\u4e8e\u89e3\u6790HTML\u6587\u6863\uff0c<code>pandas<\/code>\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5b58\u50a8\u3002\u901a\u8fc7\u7f16\u5199\u722c\u866b\u811a\u672c\uff0c\u53ef\u4ee5\u5b9a\u671f\u6293\u53d6\u6240\u9700\u7684\u62a5\u8868\u6570\u636e\u3002<\/p>\n<p><strong>\u5728\u54ea\u4e9b\u7f51\u7ad9\u53ef\u4ee5\u627e\u5230\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u7684\u722c\u53d6\u8d44\u6e90\uff1f<\/strong><br \/>\u8bb8\u591a\u91d1\u878d\u4fe1\u606f\u7f51\u7ad9\u90fd\u63d0\u4f9b\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u6570\u636e\uff0c\u4f8b\u5982\u4e1c\u65b9\u8d22\u5bcc\u7f51\u3001\u96ea\u7403\u7f51\u548c\u96c5\u864e\u8d22\u7ecf\u7b49\u3002\u8fd9\u4e9b\u7f51\u7ad9\u901a\u5e38\u4f1a\u6709\u76f8\u5e94\u7684API\u6216\u5f00\u653e\u6570\u636e\u63a5\u53e3\uff0c\u4f9b\u5f00\u53d1\u8005\u8fdb\u884c\u6570\u636e\u6293\u53d6\u3002\u6b64\u5916\uff0c\u6ce8\u610f\u9075\u5faa\u7f51\u7ad9\u7684\u722c\u866b\u534f\u8bae\uff0c\u4ee5\u907f\u514d\u5bf9\u7f51\u7ad9\u9020\u6210\u8d1f\u62c5\u3002<\/p>\n<p><strong>\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u6cd5\u5f8b\u548c\u9053\u5fb7\u95ee\u9898\uff1f<\/strong><br \/>\u5728\u8fdb\u884c\u6570\u636e\u722c\u53d6\u65f6\uff0c\u52a1\u5fc5\u9075\u5faa\u7f51\u7ad9\u7684\u4f7f\u7528\u6761\u6b3e\u548c\u670d\u52a1\u534f\u8bae\u3002\u786e\u4fdd\u4e0d\u8fdd\u53cd\u7248\u6743\u6cd5\u4ee5\u53ca\u6570\u636e\u4f7f\u7528\u653f\u7b56\u3002\u53ef\u4ee5\u901a\u8fc7robots.txt\u6587\u4ef6\u67e5\u770b\u7f51\u7ad9\u662f\u5426\u5141\u8bb8\u722c\u866b\u8bbf\u95ee\u7279\u5b9a\u9875\u9762\u3002\u6b64\u5916\uff0c\u5408\u7406\u8bbe\u7f6e\u8bf7\u6c42\u9891\u7387\uff0c\u4ee5\u514d\u5bf9\u76ee\u6807\u7f51\u7ad9\u9020\u6210\u8fc7\u5927\u538b\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u722c\u53d6\u4e0a\u5e02\u516c\u53f8\u62a5\u8868\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\uff1a\u901a\u8fc7\u516c\u5f00API\u83b7\u53d6\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u6570\u636e\u6e90\u3001\u4f7f\u7528\u7f51\u7edc\u722c\u866b\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u7f51 [&hellip;]","protected":false},"author":3,"featured_media":1078887,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078877"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1078877"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078877\/revisions"}],"predecessor-version":[{"id":1078890,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078877\/revisions\/1078890"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1078887"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1078877"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1078877"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1078877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}