Python/魏凡森/爬虫 -13806--14444.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests #这个导入库需要自己下载\n",
    "import re\n",
    "import pandas as pd\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14238\n",
      "14245\n",
      "14252\n",
      "14259\n",
      "14266\n",
      "14273\n",
      "14280\n",
      "14287\n",
      "14294\n",
      "14301\n",
      "14308\n",
      "14315\n",
      "14322\n",
      "14329\n",
      "14336\n",
      "14343\n",
      "14350\n",
      "14357\n",
      "14364\n",
      "14371\n",
      "14378\n",
      "14385\n",
      "14392\n",
      "14399\n",
      "14406\n",
      "14413\n",
      "14420\n",
      "14427\n",
      "14434\n",
      "14441\n"
     ]
    }
   ],
   "source": [
    "#生成链接\n",
    "header={\n",
    "    'User-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36'\n",
    "}\n",
    "base_url='https://www.lottery.gov.cn/kjpls/{}.html'\n",
    "data=[]\n",
    "#改变range值控制url数量\n",
    "for i in range(14233,14445):\n",
    "    new_url=base_url.format(i)\n",
    "\n",
    "#获取数据并且整合\n",
    "\n",
    "    r=requests.get(new_url,headers=header)\n",
    "    r.encoding=r.apparent_encoding\n",
    "    date=re.findall(r'期于(.+?)开奖',r.text)[0]\n",
    "    if re.findall(r'投注总额(.+?) 元。',r.text) == []: #判断缺失值\n",
    "        amount=-1\n",
    "    else :\n",
    "        amount=re.findall(r'投注总额(.+?) 元。',r.text)[0]\n",
    "    \n",
    "    \n",
    "    result=re.findall(r'开奖结果： (.+?)<.+?>',r.text)[0]\n",
    "    data.append(\n",
    "        #date帮你改成了时间格式\n",
    "        [date,amount,result]\n",
    "               )\n",
    "#爬取多个网站的时候可以设置延迟，或者加个if判断每爬几个网站暂停一段时间\n",
    "    if i%7==0:\n",
    "        print(i)\n",
    "        time.sleep(3)\n",
    "    elif i%2==0:\n",
    "        time.sleep(2)\n",
    "    \n",
    "    \n",
    "\n",
    "#date[:4]+date[6:8]+date[10:12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14444"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#保存数据\n",
    "title=['date','amount','result']\n",
    "df=pd.DataFrame(data,columns=title).set_index('date')\n",
    "df.to_csv('data14233--14445-1--na.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('data14233--14445-1--na.csv',parse_dates=['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>amount</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014 年01 月14 日</td>\n",
       "      <td>-1</td>\n",
       "      <td>5 3 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014 年01 月15 日</td>\n",
       "      <td>17,874,118</td>\n",
       "      <td>1 7 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014 年01 月16 日</td>\n",
       "      <td>-1</td>\n",
       "      <td>9 8 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014 年01 月17 日</td>\n",
       "      <td>-1</td>\n",
       "      <td>0 7 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014 年01 月18 日</td>\n",
       "      <td>-1</td>\n",
       "      <td>0 2 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2014 年08 月07 日</td>\n",
       "      <td>14,826,202</td>\n",
       "      <td>2 0 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2014 年08 月08 日</td>\n",
       "      <td>15,116,914</td>\n",
       "      <td>0 5 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2014 年08 月09 日</td>\n",
       "      <td>14,274,666</td>\n",
       "      <td>7 7 5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2014 年08 月10 日</td>\n",
       "      <td>14,198,140</td>\n",
       "      <td>2 1 4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2014 年08 月11 日</td>\n",
       "      <td>15,260,976</td>\n",
       "      <td>6 0 9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>202 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               date      amount result\n",
       "0    2014 年01 月14 日          -1  5 3 5\n",
       "1    2014 年01 月15 日  17,874,118  1 7 5\n",
       "2    2014 年01 月16 日          -1  9 8 2\n",
       "3    2014 年01 月17 日          -1  0 7 1\n",
       "4    2014 年01 月18 日          -1  0 2 1\n",
       "..              ...         ...    ...\n",
       "197  2014 年08 月07 日  14,826,202  2 0 5\n",
       "198  2014 年08 月08 日  15,116,914  0 5 6\n",
       "199  2014 年08 月09 日  14,274,666  7 7 5\n",
       "200  2014 年08 月10 日  14,198,140  2 1 4\n",
       "201  2014 年08 月11 日  15,260,976  6 0 9\n",
       "\n",
       "[202 rows x 3 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(-10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#title=['date','amount','result']\n",
    "#df1=pd.DataFrame(data,columns=title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 212 entries, 0 to 211\n",
      "Data columns (total 3 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   date    212 non-null    object\n",
      " 1   amount  212 non-null    object\n",
      " 2   result  212 non-null    object\n",
      "dtypes: object(3)\n",
      "memory usage: 5.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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