scraping.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b4d2aafb",
   "metadata": {},
   "source": [
    "# Práctica de Web Scraping "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5176786",
   "metadata": {},
   "source": [
    "## Importar librerías"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "167c1a39",
   "metadata": {},
   "source": [
    "Importo la librería [requests](https://docs.python-requests.org/en/latest/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "875d7611",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e45ffdb8",
   "metadata": {},
   "source": [
    "Voy a importar de la librería [bs4](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) `BeautifulSoup`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "17b4d831",
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be15f8bc",
   "metadata": {},
   "source": [
    "## Variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45a54562",
   "metadata": {},
   "source": [
    "Explicación de variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67d4b203",
   "metadata": {},
   "source": [
    "### Definimos URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d7cb94b5",
   "metadata": {},
   "outputs": [],
   "source": [
    " URL = \"https://resultados.elpais.com/deportivos/juegos-olimpicos/medallero/\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b72f7060",
   "metadata": {},
   "source": [
    "### Realizamos la petición a la web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a16f23b3",
   "metadata": {},
   "source": [
    "Si el estatus code no es `200` no se puede leer la página\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b60bb4f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vamos a por ello\n"
     ]
    }
   ],
   "source": [
    "req = requests.get(URL)\n",
    "if (req.status_code != 200):\n",
    "    raise Exception(\"No se puede hacer Web Scraping en\"+ URL)\n",
    "if (req.status_code == 200):\n",
    "    print(\"Vamos a por ello\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1003861e",
   "metadata": {},
   "source": [
    "### De requests a BeautifulSoup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1295e2a6",
   "metadata": {},
   "source": [
    "Pasamos el contenido HTML de la web a un objeto `BeautifulSoup()`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "60ff4517",
   "metadata": {},
   "outputs": [],
   "source": [
    "html = BeautifulSoup(req.text, \"html.parser\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a7ca6d6",
   "metadata": {},
   "source": [
    "### Variables de datos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95e1133c",
   "metadata": {},
   "source": [
    "Definimos las variables `paises`, `oros`, etc y las identificamos con la función `find_all()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4bac7f9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "paises = html.find_all(\"th\",{\"class\":\"pais\"})\n",
    "oros = html.find_all(\"td\",{\"class\":\"m_oro\"})\n",
    "platas = html.find_all(\"td\",{\"class\":\"m_plata\"})\n",
    "bronces = html.find_all(\"td\",{\"class\":\"m_bronce\"})\n",
    "totales = html.find_all(\"td\",{\"class\":\"m_total\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffb12209",
   "metadata": {},
   "source": [
    "## Hacemos la pregunta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fc96aa5f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "¿QUIERES CONOCER LOS 20 PAÍSES QUE HAN OBTENIDO MÁS MEDALLAS EN 2020?\n",
      " \n",
      " Si tu respuesta es Sí, presiona \"s\" \n",
      "s\n",
      "Vale, vamos a ello\n"
     ]
    }
   ],
   "source": [
    "respuesta=input('¿QUIERES CONOCER LOS 20 PAÍSES QUE HAN OBTENIDO MÁS MEDALLAS EN 2020?\\n \\n Si tu respuesta es Sí, presiona \"s\" \\n')\n",
    "if(respuesta == 's'): \n",
    "    print('Vale, vamos a ello')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd210f91",
   "metadata": {},
   "source": [
    "## Bucle para obtener los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4a1f507f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "RESULTADOS DE LOS DATOS DE LOS JUEGOS OLÍMPICOS 2020\n",
      "\n",
      "PAÍSES\n",
      "1. Estados Unidos \n",
      "Oro: 39 Plata: 41 Bronce: 33 \n",
      " Total: 113 \n",
      " \n",
      "2. China \n",
      "Oro: 38 Plata: 32 Bronce: 18 \n",
      " Total: 88 \n",
      " \n",
      "3. Japón \n",
      "Oro: 27 Plata: 14 Bronce: 17 \n",
      " Total: 58 \n",
      " \n",
      "4. Reino Unido \n",
      "Oro: 22 Plata: 21 Bronce: 22 \n",
      " Total: 65 \n",
      " \n",
      "5. ROC \n",
      "Oro: 20 Plata: 28 Bronce: 23 \n",
      " Total: 71 \n",
      " \n",
      "6. Australia \n",
      "Oro: 17 Plata: 7 Bronce: 22 \n",
      " Total: 46 \n",
      " \n",
      "7. Países Bajos \n",
      "Oro: 10 Plata: 12 Bronce: 14 \n",
      " Total: 36 \n",
      " \n",
      "8. Francia \n",
      "Oro: 10 Plata: 12 Bronce: 11 \n",
      " Total: 33 \n",
      " \n",
      "9. Alemania \n",
      "Oro: 10 Plata: 11 Bronce: 16 \n",
      " Total: 37 \n",
      " \n",
      "10. Italia \n",
      "Oro: 10 Plata: 10 Bronce: 20 \n",
      " Total: 40 \n",
      " \n",
      "11. Canadá \n",
      "Oro: 7 Plata: 6 Bronce: 11 \n",
      " Total: 24 \n",
      " \n",
      "12. Brasil \n",
      "Oro: 7 Plata: 6 Bronce: 8 \n",
      " Total: 21 \n",
      " \n",
      "13. Nueva Zelanda \n",
      "Oro: 7 Plata: 6 Bronce: 7 \n",
      " Total: 20 \n",
      " \n",
      "14. Cuba \n",
      "Oro: 7 Plata: 3 Bronce: 5 \n",
      " Total: 15 \n",
      " \n",
      "15. Hungría \n",
      "Oro: 6 Plata: 7 Bronce: 7 \n",
      " Total: 20 \n",
      " \n",
      "16. Corea del Sur \n",
      "Oro: 6 Plata: 4 Bronce: 10 \n",
      " Total: 20 \n",
      " \n",
      "17. Polonia \n",
      "Oro: 4 Plata: 5 Bronce: 5 \n",
      " Total: 14 \n",
      " \n",
      "18. República Checa \n",
      "Oro: 4 Plata: 4 Bronce: 3 \n",
      " Total: 11 \n",
      " \n",
      "19. Kenia \n",
      "Oro: 4 Plata: 4 Bronce: 2 \n",
      " Total: 10 \n",
      " \n",
      "20. Noruega \n",
      "Oro: 4 Plata: 2 Bronce: 2 \n",
      " Total: 8 \n",
      " \n",
      "Qué lástima, y...\n"
     ]
    }
   ],
   "source": [
    "print('\\nRESULTADOS DE LOS DATOS DE LOS JUEGOS OLÍMPICOS 2020\\n')\n",
    "print ('PAÍSES')\n",
    "for i in range (20):\n",
    "# Con el método \"getText()\" no nos devuelve el HTML\n",
    "    print(\"%d. %s \\nOro: %s Plata: %s Bronce: %s \\n Total: %s \\n \" % (i+1, paises[i+1].text.strip(),oros[i].text.strip(),platas[i].text.strip(),bronces[i].text.strip(), totales[i].text.strip()))\n",
    "else:\n",
    "    print('Qué lástima, y...')"
   ]
  }
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