BA_data_collection.ipynb

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      "authorship_tag": "ABX9TyNvOYOlkbXVPTISW40sn6C1",
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        "<a href=\"https://colab.research.google.com/github/i-ninte/data-analytics-R-python/blob/main/BA_data_collection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install requests\n"
      ],
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      "outputs": [
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          "name": "stdout",
          "text": [
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (2.31.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests) (3.3.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests) (2023.7.22)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install beautifulsoup4\n"
      ],
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            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (4.11.2)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4) (2.5)\n"
          ]
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      ]
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      "cell_type": "code",
      "execution_count": 21,
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      "outputs": [
        {
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          "text": [
            "Error on page: 32\n",
            "Error on page: 33\n",
            "Error on page: 33\n",
            "Error on page: 35\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from bs4 import BeautifulSoup\n",
        "import requests\n",
        "page_size=100\n",
        "# Create empty lists to collect reviews and other information\n",
        "reviews = []\n",
        "stars = []\n",
        "date = []\n",
        "country = []\n",
        "traveler_type = []\n",
        "seat_type = []\n",
        "seat_comfort = []\n",
        "cabin_staff_service = []\n",
        "food_and_beverages = []\n",
        "inflight_environment = []\n",
        "ground_service = []\n",
        "wifi_and_internet = []\n",
        "\n",
        "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={page_size}\")\n",
        "    soup = BeautifulSoup(page.content, \"html5\")\n",
        "    for item in soup.find_all(\"div\", class_=\"text_content\"):\n",
        "        reviews.append(item.text)\n",
        "\n",
        "    # Rating\n",
        "    for item in soup.find_all(\"div\", class_=\"rating-10\"):\n",
        "        try:\n",
        "            stars.append(item.span.text)\n",
        "        except:\n",
        "            print(\"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(\" ()\"))\n",
        "\n",
        "    # Additional information\n",
        "    for item in soup.find_all(\"tr\"):\n",
        "        if \"Type Of Traveller\" in item.text:\n",
        "            traveler_type.append(item.find(\"td\").text)\n",
        "        if \"Seat Type\" in item.text:\n",
        "            seat_type.append(item.find(\"td\").text)\n",
        "        if \"Seat Comfort\" in item.text:\n",
        "            seat_comfort.append(item.find(\"td\").text)\n",
        "        if \"Cabin Staff Service\" in item.text:\n",
        "            cabin_staff_service.append(item.find(\"td\").text)\n",
        "        if \"Food & Beverages\" in item.text:\n",
        "            food_and_beverages.append(item.find(\"td\").text)\n",
        "        if \"Inflight Entertainment\" in item.text:\n",
        "            inflight_environment.append(item.find(\"td\").text)\n",
        "        if \"Ground Service\" in item.text:\n",
        "            ground_service.append(item.find(\"td\").text)\n",
        "        if \"Wifi & Internet\" in item.text:\n",
        "            wifi_and_internet.append(item.find(\"td\").text)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#check the length of the total reviews\n",
        "len(reviews)"
      ],
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              "3500"
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          "metadata": {},
          "execution_count": 7
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    {
      "cell_type": "code",
      "source": [
        "len(country)"
      ],
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              "3500"
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          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#check length  of stars\n",
        "stars = stars[:3500]\n"
      ],
      "metadata": {
        "id": "ywKG6AjERsxc"
      },
      "execution_count": 23,
      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "len(stars)"
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          "metadata": {},
          "execution_count": 24
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      "cell_type": "code",
      "source": [
        "len(traveler_type)"
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        "len(seat_type)"
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          "metadata": {},
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        "len(cabin_staff_service)"
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      "source": [
        "len(food_and_beverages)"
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      "source": [
        "len(inflight_environment)"
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          "metadata": {},
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      "cell_type": "code",
      "source": [
        "len(ground_service)"
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    {
      "cell_type": "code",
      "source": [
        "len(wifi_and_internet)"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "ICnBT8S3Yo8J",
        "outputId": "679a1cbb-1abf-4686-f812-3060b74eb09d"
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          "metadata": {},
          "execution_count": 34
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    },
    {
      "cell_type": "code",
      "source": [
        "# Determine the list with the least length\n",
        "min_length = min(len(stars), len(traveler_type), len(seat_type), len(seat_comfort), len(cabin_staff_service), len(food_and_beverages), len(inflight_environment), len(ground_service))\n",
        "\n",
        "# Extend the lists to be the same length (3500) with zeros as placeholders\n",
        "stars = stars[:min_length] + [0] * (3500 - min_length)\n",
        "traveler_type = traveler_type[:min_length] + [0] * (3500 - min_length)\n",
        "seat_type = seat_type[:min_length] + [0] * (3500 - min_length)\n",
        "seat_comfort = seat_comfort[:min_length] + [0] * (3500 - min_length)\n",
        "cabin_staff_service = cabin_staff_service[:min_length] + [0] * (3500 - min_length)\n",
        "food_and_beverages = food_and_beverages[:min_length] + [0] * (3500 - min_length)\n",
        "inflight_environment = inflight_environment[:min_length] + [0] * (3500 - min_length)\n",
        "ground_service = ground_service[:min_length] + [0] * (3500 - min_length)\n"
      ],
      "metadata": {
        "id": "ifNFAgmYZvki"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a DataFrame from the collected data\n",
        "df = pd.DataFrame({\n",
        "    \"reviews\": reviews,\n",
        "    \"stars\": stars,\n",
        "    \"date\": date,\n",
        "    \"country\": country,\n",
        "\n",
        "})\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "lp2Gyoo_MtDZ"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df.to_csv(\"BA_reviews.csv\")"
      ],
      "metadata": {
        "id": "Adymi4DgR3Qf"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df= pd.read_csv(\"BA_reviews.csv\",index_col=0)"
      ],
      "metadata": {
        "id": "KTDJi0GWaOxm"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
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      },
      "execution_count": 45,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             reviews  stars  \\\n",
              "0  ✅ Trip Verified |   I flew from Istanbul to Lo...      5   \n",
              "1  Not Verified |  I have flow on BA several time...      1   \n",
              "2  ✅ Trip Verified |   The flight departed over a...      1   \n",
              "3  ✅ Trip Verified |   I hate British Airways! We...      1   \n",
              "4  ✅ Trip Verified |   Our BA flight from Porto t...      1   \n",
              "\n",
              "                date         country  \n",
              "0  19th October 2023  United Kingdom  \n",
              "1  19th October 2023   United States  \n",
              "2  17th October 2023  United Kingdom  \n",
              "3  17th October 2023   United States  \n",
              "4  16th October 2023  United Kingdom  "
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>reviews</th>\n",
              "      <th>stars</th>\n",
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              "      <td>Not Verified |  I have flow on BA several time...</td>\n",
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              "      <td>19th October 2023</td>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ce4208d8-6f39-489a-af27-07791836d217\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ce4208d8-6f39-489a-af27-07791836d217')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ce4208d8-6f39-489a-af27-07791836d217 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    }
  ]
}