Data Collection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from bs4 import BeautifulSoup\n",
    "import requests "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create an empty list to collect all reviews\n",
    "reviews  = []\n",
    "\n",
    "#create an empty list to collect rating stars\n",
    "stars = []\n",
    "\n",
    "#create an empty list to collect date\n",
    "date = []\n",
    "\n",
    "#create an empty list to collect country the reviewer is from\n",
    "country = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error on page 33\n",
      "Error on page 35\n",
      "Error on page 35\n"
     ]
    }
   ],
   "source": [
    "for i in range(1, 36):\n",
    "    page = requests.get(f\"https://www.airlinequality.com/airline-reviews/british-airways/page/{i}/?sortby=post_date%3ADesc&pagesize=100\")\n",
    "    \n",
    "    soup = BeautifulSoup(page.content, \"lxml\")\n",
    "    \n",
    "    for item in soup.find_all(\"div\", class_=\"text_content\"):\n",
    "        reviews.append(item.text)\n",
    "    \n",
    "    for item in soup.find_all(\"div\", class_ = \"rating-10\"):\n",
    "        try:\n",
    "            stars.append(item.span.text)\n",
    "        except:\n",
    "            print(f\"Error on page {i}\")\n",
    "            stars.append(\"None\")\n",
    "            \n",
    "    #date\n",
    "    for item in soup.find_all(\"time\"):\n",
    "        date.append(item.text)\n",
    "        \n",
    "    #country\n",
    "    for item in soup.find_all(\"h3\"):\n",
    "        country.append(item.span.next_sibling.text.strip(\" ()\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3500"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(reviews)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3500"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "stars = stars[:3500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\"reviews\":reviews,\"stars\": stars, \"date\":date, \"country\": country})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>reviews</th>\n",
       "      <th>stars</th>\n",
       "      <th>date</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Not Verified |  Happy with the flight crew. Ha...</td>\n",
       "      <td>\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t5</td>\n",
       "      <td>24th September 2024</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>✅ Trip Verified |   Horrible service from boar...</td>\n",
       "      <td>10</td>\n",
       "      <td>22nd September 2024</td>\n",
       "      <td>Morocco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Not Verified |  My wife and I are very disappo...</td>\n",
       "      <td>1</td>\n",
       "      <td>13th September 2024</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Not Verified |  We flew BA between Heathrow an...</td>\n",
       "      <td>1</td>\n",
       "      <td>13th September 2024</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Not Verified |  Absolutely disgusted with BA. ...</td>\n",
       "      <td>8</td>\n",
       "      <td>13th September 2024</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             reviews  \\\n",
       "0  Not Verified |  Happy with the flight crew. Ha...   \n",
       "1  ✅ Trip Verified |   Horrible service from boar...   \n",
       "2  Not Verified |  My wife and I are very disappo...   \n",
       "3  Not Verified |  We flew BA between Heathrow an...   \n",
       "4  Not Verified |  Absolutely disgusted with BA. ...   \n",
       "\n",
       "                         stars                 date         country  \n",
       "0  \\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t5  24th September 2024   United States  \n",
       "1                           10  22nd September 2024         Morocco  \n",
       "2                            1  13th September 2024   United States  \n",
       "3                            1  13th September 2024       Australia  \n",
       "4                            8  13th September 2024  United Kingdom  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3500, 4)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "cwd = os.getcwd()\n",
    "df.to_csv(cwd+ \"/BA_reviews.csv\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}