Web Scraping-iPhone11.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "id": "b9639403",
   "metadata": {},
   "source": [
    "# INTRODUCTION TO WEB SCRAPING"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84344147",
   "metadata": {},
   "source": [
    "## What is Web Scraping?\n",
    "\n",
    "Web scraping is the process of automatically extracting data from websites. It allows you to download data from web pages and extract specific information that you need. This can be a very useful technique for data analysis, research, and automation.\n",
    "\n",
    "There are several tools and libraries available for web scraping, but in this notebook, we will focus on using the **BeautifulSoup** library in Python.\n",
    "\n",
    "Real world **examples**:\n",
    "    \n",
    "    - Scraping e-commerce wesites for product data\n",
    "    \n",
    "    - Scraping job posting for marker research\n",
    "    \n",
    "    - scraping news articles for sentiment analysis\n",
    "\n",
    "\n",
    "## What is BeautifulSoup?\n",
    "\n",
    "BeautifulSoup is a Python library that makes it easy to scrape information from web pages. It parses the HTML or XML structure of a web page and provides a simple interface for navigating and searching the page.\n",
    "\n",
    "With BeautifulSoup, you can easily extract data from web pages, such as text, links, images, and tables. You can also use it to search for specific elements or attributes on a page, and to navigate between pages."
   ]
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   "cell_type": "markdown",
   "id": "807d3465",
   "metadata": {},
   "source": [
    "# Using Requests and Beautiful Soup for we scraping\n",
    "\n",
    "When scraping a website, the **first step** is to make an HTTP request to the website's server to retrieve the HTML content. Requests library is used to make this request, and it can handle various HTTP methods such as GET, POST, PUT, DELETE, etc.\n",
    "\n",
    "Requests is a Python library that is often used in conjunction with Beautiful Soup for web scraping. It is a popular HTTP library that allows Python developers to send HTTP/1.1 requests and handle responses easily.\n",
    "\n",
    "Once the HTML content is retrieved, Beautiful Soup can be used to parse the HTML and extract relevant data. Beautiful Soup is a Python library used for web scraping purposes to extract the data from HTML and XML files. It provides a convenient and easy-to-use interface for parsing HTML and XML documents.\n",
    "\n",
    "Therefore, requests and Beautiful Soup are often used together in web scraping projects. Requests is used to retrieve the HTML content, and Beautiful Soup is used to parse and extract data from the HTML content."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e153ddfd",
   "metadata": {},
   "source": [
    "# Installing requests \n",
    "\n",
    "To install the Requests library in Python, you can use pip, which is the package installer for Python. Here are the steps to install the Requests library using pip:\n",
    "\n",
    "1) Open a command prompt or terminal on your computer.\n",
    "2) Type the following command and press Enter to ensure that pip is      up-to-date:\n",
    "\n",
    "                > pip install --upggrade pip\n",
    "                \n",
    "3) Type the following command and press Enter to install the Requests library:\n",
    "\n",
    "                > pip install requests\n",
    "                \n",
    "After completing these steps, the Requests library should be installed on your computer, and you can start using it for your web scraping projects in Python."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04ae7135",
   "metadata": {},
   "source": [
    "## AGENDA : To scrape the reviews of 'iPhone 11' on flipkart"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67eabc92",
   "metadata": {},
   "source": [
    "**link** : https://www.flipkart.com/apple-iphone-11-black-64-gb/product-reviews/itm4e5041ba101fd?pid=MOBFWQ6BXGJCEYNY&page=< Specify page number >"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0e811a92",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Started to scrape page  1003\n",
      "Page  1003  scraped succesfully\n",
      "Started to scrape page  1004\n",
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      "Started to scrape page  1005\n",
      "Page  1005  scraped succesfully\n",
      "Started to scrape page  1006\n",
      "Page  1006  scraped succesfully\n",
      "Started to scrape page  1007\n",
      "Page  1007  scraped succesfully\n",
      "Started to scrape page  1008\n",
      "Page  1008  scraped succesfully\n",
      "Started to scrape page  1009\n",
      "Page  1009  scraped succesfully\n",
      "Started to scrape page  1010\n",
      "Page  1010  scraped succesfully\n",
      "Started to scrape page  1011\n",
      "Page  1011  scraped succesfully\n",
      "Started to scrape page  1012\n",
      "Page  1012  scraped succesfully\n",
      "Started to scrape page  1013\n",
      "Page  1013  scraped succesfully\n",
      "Started to scrape page  1014\n",
      "Page  1014  scraped succesfully\n",
      "Started to scrape page  1015\n",
      "Page  1015  scraped succesfully\n",
      "Started to scrape page  1016\n",
      "Page  1016  scraped succesfully\n",
      "Started to scrape page  1017\n",
      "Page  1017  scraped succesfully\n",
      "Started to scrape page  1018\n",
      "Page  1018  scraped succesfully\n",
      "Started to scrape page  1019\n",
      "Page  1019  scraped succesfully\n",
      "Started to scrape page  1020\n",
      "Page  1020  scraped succesfully\n",
      "Started to scrape page  1021\n",
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      "Started to scrape page  1022\n",
      "Page  1022  scraped succesfully\n",
      "Started to scrape page  1023\n",
      "Page  1023  scraped succesfully\n",
      "Started to scrape page  1024\n",
      "Page  1024  scraped succesfully\n",
      "Started to scrape page  1025\n",
      "Page  1025  scraped succesfully\n",
      "Started to scrape page  1026\n",
      "Page  1026  scraped succesfully\n",
      "Started to scrape page  1027\n",
      "Page  1027  scraped succesfully\n",
      "Started to scrape page  1028\n",
      "Page  1028  scraped succesfully\n",
      "Started to scrape page  1029\n",
      "Page  1029  scraped succesfully\n",
      "Started to scrape page  1030\n",
      "Page  1030  scraped succesfully\n",
      "Started to scrape page  1031\n",
      "Page  1031  scraped succesfully\n",
      "Started to scrape page  1032\n",
      "Page  1032  scraped succesfully\n",
      "Started to scrape page  1033\n",
      "Page  1033  scraped succesfully\n",
      "Started to scrape page  1034\n",
      "Page  1034  scraped succesfully\n",
      "Started to scrape page  1035\n",
      "Page  1035  scraped succesfully\n",
      "Started to scrape page  1036\n",
      "Page  1036  scraped succesfully\n",
      "Started to scrape page  1037\n",
      "Page  1037  scraped succesfully\n",
      "Started to scrape page  1038\n",
      "Page  1038  scraped succesfully\n",
      "Started to scrape page  1039\n",
      "Page  1039  scraped succesfully\n",
      "Started to scrape page  1040\n",
      "Page  1040  scraped succesfully\n",
      "Started to scrape page  1041\n",
      "Page  1041  scraped succesfully\n",
      "Started to scrape page  1042\n",
      "Page  1042  scraped succesfully\n",
      "Started to scrape page  1043\n",
      "Page  1043  scraped succesfully\n",
      "Started to scrape page  1044\n",
      "Page  1044  scraped succesfully\n",
      "Started to scrape page  1045\n",
      "Page  1045  scraped succesfully\n",
      "Started to scrape page  1046\n",
      "Page  1046  scraped succesfully\n",
      "Started to scrape page  1047\n",
      "Page  1047  scraped succesfully\n",
      "Started to scrape page  1048\n",
      "Page  1048  scraped succesfully\n",
      "Started to scrape page  1049\n",
      "Page  1049  scraped succesfully\n",
      "Started to scrape page  1050\n",
      "Page  1050  scraped succesfully\n",
      "Started to scrape page  1051\n",
      "Page  1051  scraped succesfully\n",
      "Started to scrape page  1052\n",
      "Page  1052  scraped succesfully\n",
      "Started to scrape page  1053\n",
      "Page  1053  scraped succesfully\n",
      "Started to scrape page  1054\n",
      "Page  1054  scraped succesfully\n",
      "Started to scrape page  1055\n",
      "Page  1055  scraped succesfully\n",
      "Started to scrape page  1056\n",
      "Page  1056  scraped succesfully\n",
      "Started to scrape page  1057\n",
      "Page  1057  scraped succesfully\n",
      "Started to scrape page  1058\n",
      "Page  1058  scraped succesfully\n",
      "Started to scrape page  1059\n",
      "Page  1059  scraped succesfully\n",
      "Started to scrape page  1060\n",
      "Page  1060  scraped succesfully\n",
      "Started to scrape page  1061\n",
      "Page  1061  scraped succesfully\n",
      "Started to scrape page  1062\n",
      "Page  1062  scraped succesfully\n",
      "Started to scrape page  1063\n",
      "Page  1063  scraped succesfully\n",
      "Started to scrape page  1064\n",
      "Page  1064  scraped succesfully\n",
      "Started to scrape page  1065\n",
      "Page  1065  scraped succesfully\n",
      "Started to scrape page  1066\n",
      "Page  1066  scraped succesfully\n",
      "Started to scrape page  1067\n",
      "Page  1067  scraped succesfully\n",
      "Started to scrape page  1068\n",
      "Page  1068  scraped succesfully\n",
      "Started to scrape page  1069\n",
      "Page  1069  scraped succesfully\n",
      "Started to scrape page  1070\n",
      "Page  1070  scraped succesfully\n",
      "Started to scrape page  1071\n",
      "Page  1071  scraped succesfully\n",
      "Started to scrape page  1072\n",
      "Page  1072  scraped succesfully\n",
      "Started to scrape page  1073\n",
      "Page  1073  scraped succesfully\n",
      "Started to scrape page  1074\n",
      "Page  1074  scraped succesfully\n",
      "Started to scrape page  1075\n",
      "Page  1075  scraped succesfully\n",
      "Started to scrape page  1076\n",
      "Page  1076  scraped succesfully\n",
      "Started to scrape page  1077\n",
      "Page  1077  scraped succesfully\n",
      "Started to scrape page  1078\n",
      "Page  1078  scraped succesfully\n",
      "Started to scrape page  1079\n",
      "Page  1079  scraped succesfully\n",
      "Started to scrape page  1080\n",
      "Page  1080  scraped succesfully\n",
      "Started to scrape page  1081\n",
      "Page  1081  scraped succesfully\n",
      "Started to scrape page  1082\n",
      "Page  1082  scraped succesfully\n",
      "Started to scrape page  1083\n",
      "Page  1083  scraped succesfully\n",
      "Started to scrape page  1084\n",
      "Page  1084  scraped succesfully\n",
      "Started to scrape page  1085\n",
      "Page  1085  scraped succesfully\n",
      "Started to scrape page  1086\n",
      "Page  1086  scraped succesfully\n",
      "Started to scrape page  1087\n",
      "Page  1087  scraped succesfully\n",
      "Started to scrape page  1088\n",
      "Page  1088  scraped succesfully\n",
      "Started to scrape page  1089\n",
      "Page  1089  scraped succesfully\n",
      "Started to scrape page  1090\n",
      "Page  1090  scraped succesfully\n",
      "Started to scrape page  1091\n",
      "Page  1091  scraped succesfully\n",
      "Started to scrape page  1092\n",
      "Page  1092  scraped succesfully\n",
      "Started to scrape page  1093\n",
      "Page  1093  scraped succesfully\n",
      "Started to scrape page  1094\n",
      "Page  1094  scraped succesfully\n",
      "Started to scrape page  1095\n",
      "Page  1095  scraped succesfully\n",
      "Started to scrape page  1096\n",
      "Page  1096  scraped succesfully\n",
      "Started to scrape page  1097\n",
      "Page  1097  scraped succesfully\n",
      "Started to scrape page  1098\n",
      "Page  1098  scraped succesfully\n",
      "Started to scrape page  1099\n",
      "Page  1099  scraped succesfully\n",
      "Started to scrape page  1100\n",
      "Page  1100  scraped succesfully\n",
      "Started to scrape page  1101\n",
      "Page  1101  scraped succesfully\n",
      "Started to scrape page  1102\n",
      "Page  1102  scraped succesfully\n",
      "Started to scrape page  1103\n",
      "Page  1103  scraped succesfully\n",
      "Started to scrape page  1104\n",
      "Page  1104  scraped succesfully\n"
     ]
    }
   ],
   "source": [
    "# Load the necessary libraries\n",
    "\n",
    "from bs4 import BeautifulSoup as bs #bs4 stands for Beautifulsoup4\n",
    "\n",
    "import requests \n",
    "\n",
    "name_list = []\n",
    "rating_list = []\n",
    "review_list = []\n",
    "\n",
    "for page in range(1,1105):\n",
    "    \n",
    "    url = \"https://www.flipkart.com/apple-iphone-11-black-64-gb/product-reviews/itm4e5041ba101fd?pid=MOBFWQ6BXGJCEYNY&page=\"+str(page)\n",
    "    status_code = requests.get(url)\n",
    "    \n",
    "    #get() sends a HTTP GET request and receive a response\n",
    "\n",
    "    #get() returns a HTTP status code of response\n",
    "\n",
    "    #If status code is 200 then OK \n",
    "    #If status code is 404 then page not found\n",
    "    #If status code is 503 for server unavailable currently, etc\n",
    "    \n",
    "    if str(status_code) == \"<Response [200]>\":\n",
    "        \n",
    "        soup = bs(status_code.content,'html.parser') # soup is an object of bs \n",
    "        \n",
    "        print(\"Started to scrape page \",page)\n",
    "        \n",
    "    #From inspect, click on select option (top right corner in inpect tab)\n",
    "    #then click on any name of customer on page to get the name tag and it's class name\n",
    "        \n",
    "        \n",
    "        names = soup.find_all('p',class_='_2sc7ZR _2V5EHH')\n",
    "        \n",
    "        # same with ratings and reviews\n",
    "        \n",
    "        ratings = soup.find_all('div',class_='_3LWZlK _1BLPMq')\n",
    "        reviews = soup.find_all('div',class_='t-ZTKy')\n",
    "        \n",
    "        #find_all() will give all the content of specified tag and class\n",
    "        \n",
    "        for i in range(len(names)):\n",
    "            name_list.append(names[i].get_text())\n",
    "            if len(ratings) > i:\n",
    "                rating_list.append(ratings[i].get_text())\n",
    "            else:\n",
    "                rating_list.append(\"N/A\")\n",
    "            if len(reviews) > i:\n",
    "                review_list.append(reviews[i].get_text())\n",
    "            else:\n",
    "                review_list.append(\"N/A\")\n",
    "            \n",
    "        print(\"Page \",page,\" scraped succesfully\")\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b6e3ef77",
   "metadata": {},
   "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>Customer names</th>\n",
       "      <th>Ratings out of 5</th>\n",
       "      <th>Review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Flipkart Customer</td>\n",
       "      <td>5</td>\n",
       "      <td>Really satisfied with the Product I received.....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Flipkart Customer</td>\n",
       "      <td>5</td>\n",
       "      <td>Amazing phone with great cameras and better ba...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Manish Raghuvanshi</td>\n",
       "      <td>5</td>\n",
       "      <td>Great iPhone very snappy experience as apple k...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>George Haokip</td>\n",
       "      <td>4</td>\n",
       "      <td>I'm Really happy with the productDelivery was ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jimly  Gogoi</td>\n",
       "      <td>5</td>\n",
       "      <td>It's my first time to use iOS phone and I am l...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9962</th>\n",
       "      <td>Rajat Garg</td>\n",
       "      <td>4</td>\n",
       "      <td>GoodREAD MORE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9963</th>\n",
       "      <td>Amarjit Singh</td>\n",
       "      <td>5</td>\n",
       "      <td>AwesomeREAD MORE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9964</th>\n",
       "      <td>Subham S</td>\n",
       "      <td>4</td>\n",
       "      <td>Works as usual .READ MORE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9965</th>\n",
       "      <td>Rohan Sk</td>\n",
       "      <td>5</td>\n",
       "      <td>killer 😘😘 PhoneREAD MORE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9966</th>\n",
       "      <td>Rosy  Chettri</td>\n",
       "      <td>5</td>\n",
       "      <td>awesome phoneREAD MORE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9967 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Customer names Ratings out of 5  \\\n",
       "0      Flipkart Customer                5   \n",
       "1      Flipkart Customer                5   \n",
       "2     Manish Raghuvanshi                5   \n",
       "3          George Haokip                4   \n",
       "4           Jimly  Gogoi                5   \n",
       "...                  ...              ...   \n",
       "9962          Rajat Garg                4   \n",
       "9963       Amarjit Singh                5   \n",
       "9964            Subham S                4   \n",
       "9965            Rohan Sk                5   \n",
       "9966       Rosy  Chettri                5   \n",
       "\n",
       "                                                 Review  \n",
       "0     Really satisfied with the Product I received.....  \n",
       "1     Amazing phone with great cameras and better ba...  \n",
       "2     Great iPhone very snappy experience as apple k...  \n",
       "3     I'm Really happy with the productDelivery was ...  \n",
       "4     It's my first time to use iOS phone and I am l...  \n",
       "...                                                 ...  \n",
       "9962                                      GoodREAD MORE  \n",
       "9963                                   AwesomeREAD MORE  \n",
       "9964                          Works as usual .READ MORE  \n",
       "9965                           killer 😘😘 PhoneREAD MORE  \n",
       "9966                             awesome phoneREAD MORE  \n",
       "\n",
       "[9967 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now we'll import pandas to convert the data into a csv\n",
    "import pandas as pd \n",
    "\n",
    "df = pd.DataFrame()\n",
    "\n",
    "df['Customer names'] = name_list\n",
    "df['Ratings out of 5'] = rating_list\n",
    "df['Review'] = review_list\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6e35f275",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(r'...\\iPhone_11_Reviews.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7834b5f1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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