python批量发送get请求获取api返回数据后写入excel问题

想要批量发送Get请求获取api返回的数据，并且将数据导出为excel表格

headers = {
    "Authorization": "Bearer " + token
}
with open("url.txt", "r", encoding="utf-8") as read_url:
    url_get = read_url.readlines()
    for li in url_get:
        response = requests.get(url=li, headers=headers)
        content_data_total = json.loads(data_num_response.text)["data"]["total"]
        result = {'taskId':li.replace("*****", "").replace("&size=1", "").replace("\n",""),
                                           'data_amount':content_data_total}
        print(result)

打印的数据是这样的

尝试过的方法

        def data_excel():
            data_f = pd.DataFrame(list(result_get_notexported_data_num))
            # 指定字段顺序
            data_order = ["taskId", "data_amount"]
            data_f = data_f[data_order]
            # 将列名转换为中文
            data_columns_map = {
                "taskId": "任务Id",
                "data_amount": "总量",
            }
            data_f.rename(columns=data_columns_map, inplace=True)
            # 指定生成的表格名称
            data_filepath = pd.ExcelWriter(current_date + "   数据.xlsx")
            # 替换空单元格
            data_f.fillna("", inplace=True)
            # 输出
            data_f.to_excel(data_filepath, encoding="utf-8", index=False)
            # 保存表格
            data_filepath.save()
            # 转写为html
            data_html_f = pd.read_excel(current_date + "   数据.xlsx")
            data_html_f2 = status_html_f.drop(labels="任务Id", axis=1)  # 删除taskId列
            data_html_f2.to_html(current_date + "   数据.html", encoding="utf_8_sig", header=True,
                                   index=False)


        if __name__ == '__main__':
            data_excel()
报错：
**raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['taskId', 'data_amount'], dtype='object')] are in the [columns]"**

我想要把这些数据以taskId和data amount为表头，写入excel表格中，并将excel表格转换为html格式，请教该如何实现！谢谢！

导出到excel和转换成html用pandas几行代码就可以了

    data = [{'taskId': 1, 'data_amount': 0},
                {'taskId': 2, 'data_amount': 0},
                {'taskId': 3, 'data_amount': 0},
                {'taskId': 4, 'data_amount': 0},
                {'taskId': 5, 'data_amount': 0}]
    df = pd.DataFrame(data)
    # 导出excel
    df.to_excel("test.xlsx", index=False)
    # 转换html表格
    html_table = df.to_html('测试.html', index=False)
    print(html_table )