06. Beautifulsoup.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bs4     # bs4라는 외부 모듈을 가져온다\n",
    "\n",
    "# urllib라는 라이브러리 내의 request 모듈에 있는 urlopen 함수를 가져온다     \n",
    "from urllib.request import urlopen     \n",
    "\n",
    "import pandas as pd     # pandas라는 모듈을 pd라는 이름으로 가져온다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "html_doc = \"\"\"\n",
    "<html><head><title>The Office</title></head>\n",
    "<body>\n",
    "<p class=\"title\"><b>The Office</b></p>\n",
    "<p class=\"story\">In my office, there are four officers,\n",
    "<a href=\"http://example.com/YW\" class=\"member\">YW</a>,\n",
    "<a href=\"http://example.com/JK\" class=\"member\">JK</a>,\n",
    "<a href=\"http://example.com/YJ\" class=\"member\">YJ</a> and\n",
    "<a href=\"http://example.com/KS\" class=\"member\">KS</a>\n",
    ".</p>\n",
    "<p class=\"story\">...</p>\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(html_doc, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<html>\n",
      " <head>\n",
      "  <title>\n",
      "   The Office\n",
      "  </title>\n",
      " </head>\n",
      " <body>\n",
      "  <p class=\"title\">\n",
      "   <b>\n",
      "    The Office\n",
      "   </b>\n",
      "  </p>\n",
      "  <p class=\"story\">\n",
      "   In my office, there are four officers,\n",
      "   <a class=\"member\" href=\"http://example.com/YW\">\n",
      "    YW\n",
      "   </a>\n",
      "   ,\n",
      "   <a class=\"member\" href=\"http://example.com/JK\">\n",
      "    JK\n",
      "   </a>\n",
      "   ,\n",
      "   <a class=\"member\" href=\"http://example.com/YJ\">\n",
      "    YJ\n",
      "   </a>\n",
      "   and\n",
      "   <a class=\"member\" href=\"http://example.com/KS\">\n",
      "    KS\n",
      "   </a>\n",
      "   .\n",
      "  </p>\n",
      "  <p class=\"story\">\n",
      "   ...\n",
      "  </p>\n",
      " </body>\n",
      "</html>\n"
     ]
    }
   ],
   "source": [
    "print(soup.prettify())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<title>The Office</title>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soup.title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Office'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soup.title.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<a class=\"member\" href=\"http://example.com/YW\">YW</a>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soup.a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<a class=\"member\" href=\"http://example.com/YW\">YW</a>,\n",
       " <a class=\"member\" href=\"http://example.com/JK\">JK</a>,\n",
       " <a class=\"member\" href=\"http://example.com/YJ\">YJ</a>,\n",
       " <a class=\"member\" href=\"http://example.com/KS\">KS</a>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soup.find_all('a')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "ResultSet object has no attribute 'text'. You're probably treating a list of items like a single item. Did you call find_all() when you meant to call find()?",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-9b05955da626>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msoup\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfind_all\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'a'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bs4/element.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1805\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__getattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1806\u001b[0m         raise AttributeError(\n\u001b[0;32m-> 1807\u001b[0;31m             \u001b[0;34m\"ResultSet object has no attribute '%s'. You're probably treating a list of items like a single item. Did you call find_all() when you meant to call find()?\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1808\u001b[0m         )\n",
      "\u001b[0;31mAttributeError\u001b[0m: ResultSet object has no attribute 'text'. You're probably treating a list of items like a single item. Did you call find_all() when you meant to call find()?"
     ]
    }
   ],
   "source": [
    "soup.find_all('a').text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<a class=\"member\" href=\"http://example.com/YJ\">YJ</a>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soup.find_all('a')[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "YW\n",
      "JK\n",
      "YJ\n",
      "KS\n"
     ]
    }
   ],
   "source": [
    "member = soup.find_all('a')\n",
    "for m in member:\n",
    "    print(m.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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