scraping_article.ipynb

scraping_article.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/EvanMarie/676e8011e5b3e8060df83d284a670996/scraping_article.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ad0f180c-0855-48a8-a225-08745efb956e",
      "metadata": {
        "id": "ad0f180c-0855-48a8-a225-08745efb956e"
      },
      "source": [
        "# **🕸️ Web Scraping with Selenium and Beautiful Soup**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3617e773-2267-4265-8534-b24a4daf16d6",
      "metadata": {
        "id": "3617e773-2267-4265-8534-b24a4daf16d6"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "from time import sleep\n",
        "from bs4 import BeautifulSoup\n",
        "from selenium import webdriver\n",
        "from selenium.webdriver.common.by import By\n",
        "from selenium.webdriver.common.keys import Keys\n",
        "from IPython import display"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1e72f868-e6a8-4810-9c9f-078bfc28ad1b",
      "metadata": {
        "id": "1e72f868-e6a8-4810-9c9f-078bfc28ad1b"
      },
      "source": [
        "### **Driver instantiation and retrieving HTML data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "490f23f2-19cd-4cfe-b5c7-4c2c45c8d677",
      "metadata": {
        "id": "490f23f2-19cd-4cfe-b5c7-4c2c45c8d677"
      },
      "outputs": [],
      "source": [
        "url = 'https://www.sciencefocus.com/nature/why-do-we-find-puppies-so-cute/'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "cdbfd287-be4f-4160-89ad-a7a7c1adf3d8",
      "metadata": {
        "id": "cdbfd287-be4f-4160-89ad-a7a7c1adf3d8"
      },
      "outputs": [],
      "source": [
        "driver = webdriver.Chrome()\n",
        "driver.get(url)\n",
        "sleep(5)\n",
        "html_data = driver.page_source"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "32315cf4-323a-4b0d-8715-4e6229fa06cf",
      "metadata": {
        "id": "32315cf4-323a-4b0d-8715-4e6229fa06cf"
      },
      "source": [
        "### **Making soup**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b246137c-cde3-47fa-8fc0-d60bdfa4c09e",
      "metadata": {
        "id": "b246137c-cde3-47fa-8fc0-d60bdfa4c09e"
      },
      "outputs": [],
      "source": [
        "soup = BeautifulSoup(html_data, 'html.parser')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e0b2977d-d07b-4f10-96d1-1ad41c5a635c",
      "metadata": {
        "id": "e0b2977d-d07b-4f10-96d1-1ad41c5a635c"
      },
      "source": [
        "### **Getting the title**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ae98bdf5-cd34-4bfc-acfc-e922081d9623",
      "metadata": {
        "id": "ae98bdf5-cd34-4bfc-acfc-e922081d9623",
        "outputId": "a05a07ce-5088-41b5-8470-0cfa94bcf442"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "bs4.element.ResultSet"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(soup.find_all('h1'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "eb1cef0b-dc3d-4af2-8383-0c9bf8f2a484",
      "metadata": {
        "id": "eb1cef0b-dc3d-4af2-8383-0c9bf8f2a484",
        "outputId": "4699b6ea-4f31-422a-fafa-30399b1e4873"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Why do we find puppies so cute?'"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "title = soup.find_all('h1')[0].text\n",
        "title"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "bd1332b3-6d1d-42ae-bc45-10eb93283f8a",
      "metadata": {
        "id": "bd1332b3-6d1d-42ae-bc45-10eb93283f8a"
      },
      "source": [
        "### **Getting the author**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5346ed9c-1e3d-4ff6-8324-54a84f1922a1",
      "metadata": {
        "tags": [],
        "id": "5346ed9c-1e3d-4ff6-8324-54a84f1922a1",
        "outputId": "57ad83cd-ea15-4774-fe88-4886525499d2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Christian Jarrett'"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "author = soup.find_all('a', {'class': 'link link--styled'})[0].text\n",
        "author"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "fdbc0e52-2ffd-4afd-8cc1-c212b777adec",
      "metadata": {
        "id": "fdbc0e52-2ffd-4afd-8cc1-c212b777adec"
      },
      "source": [
        "### **Getting the article text**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c1f7d37e-eb98-4bf1-8ce1-58c01d6fc4a8",
      "metadata": {
        "id": "c1f7d37e-eb98-4bf1-8ce1-58c01d6fc4a8"
      },
      "outputs": [],
      "source": [
        "for div in soup.find_all('div', {'class': 'post__content'}):\n",
        "\tarticle_text = div.text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6cdb72e8-6ba9-4a18-8537-32e98d545339",
      "metadata": {
        "id": "6cdb72e8-6ba9-4a18-8537-32e98d545339",
        "outputId": "bcfc3ce1-cc73-4919-9808-6842bdecf23b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Asked by: Arnold Hopper, SwanseaAdvertisementWith their big, round eyes, button noses and large heads, puppies share many of the same physical characteristics as human babies. And like babies, as well as kittens, teddies and many cartoon characters, puppies provoke in us an automatic ‘cute response’. They grab our attention, we enjoy looking at them and, at a neural level, they trigger activity associated with reward and also compassion and empathy.In humans, and other animals, this response is an evolved, innate behaviour that motivates adults to look after helpless infants, and to be more sensitive to their needs and feelings. It makes sense, then, that a recent study found that puppies reach peak cuteness at eight weeks of age, just the time when their canine mothers leave them to fend for themselves.Read more:\\nDo babies have nightmares?\\nIs stroking good for pets?\\nAdvertisementSubscribe to BBC Focus magazine for fascinating new Q&As every month and follow @sciencefocusQA on Twitter for your daily dose of fun facts.'"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "article_text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "10dedbde-718d-41ca-b9ad-8a5a88acd5c0",
      "metadata": {
        "id": "10dedbde-718d-41ca-b9ad-8a5a88acd5c0"
      },
      "outputs": [],
      "source": [
        "article_text = article_text.replace('\\n', ' ')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "df397452-af2f-4004-917d-2dd3a38b3603",
      "metadata": {
        "id": "df397452-af2f-4004-917d-2dd3a38b3603",
        "outputId": "d03a38bd-6c43-4014-8155-2a2a05c2ee6f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Asked by: Arnold Hopper, SwanseaAdvertisementWith their big, round eyes, button noses and large heads, puppies share many of the same physical characteristics as human babies. And like babies, as well as kittens, teddies and many cartoon characters, puppies provoke in us an automatic ‘cute response’. They grab our attention, we enjoy looking at them and, at a neural level, they trigger activity associated with reward and also compassion and empathy.In humans, and other animals, this response is an evolved, innate behaviour that motivates adults to look after helpless infants, and to be more sensitive to their needs and feelings. It makes sense, then, that a recent study found that puppies reach peak cuteness at eight weeks of age, just the time when their canine mothers leave them to fend for themselves.Read more: Do babies have nightmares? Is stroking good for pets? AdvertisementSubscribe to BBC Focus magazine for fascinating new Q&As every month and follow @sciencefocusQA on Twitter for your daily dose of fun facts.'"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "article_text"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b6a150b3-5e4d-412e-9f6f-4fbf05618cf7",
      "metadata": {
        "id": "b6a150b3-5e4d-412e-9f6f-4fbf05618cf7"
      },
      "source": [
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5a350958-6acd-4795-a550-9a15178973f2",
      "metadata": {
        "id": "5a350958-6acd-4795-a550-9a15178973f2"
      },
      "source": [
        "## **Google Search**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a36f0711-b643-4241-85fa-e61fcaea2b06",
      "metadata": {
        "id": "a36f0711-b643-4241-85fa-e61fcaea2b06"
      },
      "outputs": [],
      "source": [
        "url = 'https://google.com'\n",
        "driver = webdriver.Chrome()\n",
        "driver.get(url)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c66448dd-f556-4c7e-a07e-8c3c430ce51c",
      "metadata": {
        "id": "c66448dd-f556-4c7e-a07e-8c3c430ce51c"
      },
      "source": [
        "#### **Accessing the search bar**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5b777798-bbcf-467a-9cff-f82eb2a67200",
      "metadata": {
        "id": "5b777798-bbcf-467a-9cff-f82eb2a67200"
      },
      "outputs": [],
      "source": [
        "search_field = driver.find_element(By.NAME, 'q')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3e28f2a7-881c-423a-b4ca-6107a5864489",
      "metadata": {
        "id": "3e28f2a7-881c-423a-b4ca-6107a5864489"
      },
      "source": [
        "#### **Inputting the search query and hitting \"enter\"**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e1333d1d-1ca4-4732-8f87-bef88d8f548c",
      "metadata": {
        "id": "e1333d1d-1ca4-4732-8f87-bef88d8f548c"
      },
      "outputs": [],
      "source": [
        "search_field.send_keys('Why are dogs so cute?')\n",
        "search_field.send_keys(Keys.ENTER) "
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3646926d-0c7f-486f-9763-8dfe862bf993",
      "metadata": {
        "id": "3646926d-0c7f-486f-9763-8dfe862bf993"
      },
      "source": [
        "#### **Collecting the HTML data for the results of the search**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6b567e22-62fe-4922-84f9-d5051c20c105",
      "metadata": {
        "id": "6b567e22-62fe-4922-84f9-d5051c20c105"
      },
      "outputs": [],
      "source": [
        "html_data = driver.page_source"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7c284cfb-8e37-4f54-ab7d-61576432b773",
      "metadata": {
        "id": "7c284cfb-8e37-4f54-ab7d-61576432b773"
      },
      "source": [
        "#### **Making soup**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b966f9ca-3a11-4c88-b8a1-6b02ab68bcd8",
      "metadata": {
        "id": "b966f9ca-3a11-4c88-b8a1-6b02ab68bcd8"
      },
      "outputs": [],
      "source": [
        "soup = BeautifulSoup(html_data, 'html.parser')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e5b116a9-bfa7-4b37-943a-dccfa4a95501",
      "metadata": {
        "id": "e5b116a9-bfa7-4b37-943a-dccfa4a95501"
      },
      "source": [
        "### **Getting All Article Titles**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "fdc582bb-6750-41db-b95e-648e215eeef1",
      "metadata": {
        "tags": [],
        "id": "fdc582bb-6750-41db-b95e-648e215eeef1",
        "outputId": "a50f4403-411f-4c17-c81e-731fba57528e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['The Scientific Reason Behind Why We Find Dogs So Cute',\n",
              " 'Do dogs know we think they are cute? - The Healthy Journal',\n",
              " 'Curious Kids: Why is our dog so cute? - The Conversation',\n",
              " 'Why Do Dogs Love Us? Science Explains - Inverse',\n",
              " 'Dogs Mentally Understand How Much We Love Them, Canine Cognition ...',\n",
              " 'Curious Kids: Why is our dog so cute? - The Conversation',\n",
              " 'The Science of Cute: How Cuteness Makes Us Love Our Dogs',\n",
              " \"Why Are Dogs So Cute? - Dogs 'N Stuff\",\n",
              " 'Why is my dog so cute? | Ohio Wesleyan University',\n",
              " 'Science Explains What Makes Your Dog So Cute - WSJ',\n",
              " 'Why do we find puppies so cute? - BBC Science Focus',\n",
              " 'What makes a dog cute to a human being? - Quora',\n",
              " 'Why Are Puppies So Cute? | Psychology Today',\n",
              " \"What Your Dog's Cute Behaviors Really Mean\",\n",
              " 'More results',\n",
              " 'Try again']"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "[title.text for title in soup.find_all('h3')]"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "74afaa4b-63db-4b74-b51a-0ac43216fe62",
      "metadata": {
        "id": "74afaa4b-63db-4b74-b51a-0ac43216fe62"
      },
      "source": [
        "### **Drop the two non-titles from the end of the list**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "06aec3aa-e06e-4874-8987-1d13efadf7ac",
      "metadata": {
        "id": "06aec3aa-e06e-4874-8987-1d13efadf7ac"
      },
      "outputs": [],
      "source": [
        "titles = [title.text for title in soup.find_all('h3')][:14]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0de52790-e91c-463a-872f-ba60fd0b1217",
      "metadata": {
        "id": "0de52790-e91c-463a-872f-ba60fd0b1217",
        "outputId": "80601162-2eef-4161-995c-f776bcbff4ae"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['The Scientific Reason Behind Why We Find Dogs So Cute',\n",
              " 'Do dogs know we think they are cute? - The Healthy Journal',\n",
              " 'Curious Kids: Why is our dog so cute? - The Conversation',\n",
              " 'Why Do Dogs Love Us? Science Explains - Inverse',\n",
              " 'Dogs Mentally Understand How Much We Love Them, Canine Cognition ...',\n",
              " 'Curious Kids: Why is our dog so cute? - The Conversation',\n",
              " 'The Science of Cute: How Cuteness Makes Us Love Our Dogs',\n",
              " \"Why Are Dogs So Cute? - Dogs 'N Stuff\",\n",
              " 'Why is my dog so cute? | Ohio Wesleyan University',\n",
              " 'Science Explains What Makes Your Dog So Cute - WSJ',\n",
              " 'Why do we find puppies so cute? - BBC Science Focus',\n",
              " 'What makes a dog cute to a human being? - Quora',\n",
              " 'Why Are Puppies So Cute? | Psychology Today',\n",
              " \"What Your Dog's Cute Behaviors Really Mean\"]"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "titles"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1a32bd82-2630-4e34-919a-b61adcb3e896",
      "metadata": {
        "id": "1a32bd82-2630-4e34-919a-b61adcb3e896"
      },
      "source": [
        "### **Remove the 4 extra titles between header article and other articles**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a0a18c94-c8b7-4745-9102-059f65b35b6a",
      "metadata": {
        "id": "a0a18c94-c8b7-4745-9102-059f65b35b6a"
      },
      "outputs": [],
      "source": [
        "del titles[1:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "765746fd-0ce0-4a49-bcd5-8f8101f3c7a7",
      "metadata": {
        "id": "765746fd-0ce0-4a49-bcd5-8f8101f3c7a7",
        "outputId": "e267c697-63f2-409f-d30a-8bf9fe0b02ad"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['The Scientific Reason Behind Why We Find Dogs So Cute',\n",
              " 'Curious Kids: Why is our dog so cute? - The Conversation',\n",
              " 'The Science of Cute: How Cuteness Makes Us Love Our Dogs',\n",
              " \"Why Are Dogs So Cute? - Dogs 'N Stuff\",\n",
              " 'Why is my dog so cute? | Ohio Wesleyan University',\n",
              " 'Science Explains What Makes Your Dog So Cute - WSJ',\n",
              " 'Why do we find puppies so cute? - BBC Science Focus',\n",
              " 'What makes a dog cute to a human being? - Quora',\n",
              " 'Why Are Puppies So Cute? | Psychology Today',\n",
              " \"What Your Dog's Cute Behaviors Really Mean\"]"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "titles"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "06be1865-860d-4d64-a479-1a4efc23c9f3",
      "metadata": {
        "id": "06be1865-860d-4d64-a479-1a4efc23c9f3"
      },
      "source": [
        "### **Getting head article**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8e339f4f-5a98-45db-9fbf-4c0812c275a9",
      "metadata": {
        "id": "8e339f4f-5a98-45db-9fbf-4c0812c275a9"
      },
      "outputs": [],
      "source": [
        "articles = []"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a960744f-e3e6-4daf-99e5-0ac9ad898470",
      "metadata": {
        "id": "a960744f-e3e6-4daf-99e5-0ac9ad898470"
      },
      "source": [
        "#### **Checking the number of articles in the heading**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "48edc10d-38af-4254-985e-65502aa2a296",
      "metadata": {
        "id": "48edc10d-38af-4254-985e-65502aa2a296",
        "outputId": "2306229f-858d-4fbc-a6ac-1ba380e6637a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(soup.find_all('div', {'class': 'xpdopen'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "140e8af8-25fb-4c0c-b99c-90f26f81bf3e",
      "metadata": {
        "tags": [],
        "id": "140e8af8-25fb-4c0c-b99c-90f26f81bf3e",
        "outputId": "ddc0e6e4-f469-4f36-d66e-dfb887c4ccd7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute#:~:text=In%20the%20past%2C%20research%20suggested,dogs%20are%20a%20perfect%20example.'"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "articles.append(soup.find_all('div', {'class': 'xpdopen'})[0].find_all('a')[0]['href'])\n",
        "\n",
        "soup.find_all('div', {'class': 'xpdopen'})[0].find_all('a')[0]['href']"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "357be03e-fcfd-42b0-a956-2e4862e2bf08",
      "metadata": {
        "id": "357be03e-fcfd-42b0-a956-2e4862e2bf08"
      },
      "source": [
        "### **Getting the rest of the articles**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "34ad2647-5cfd-40f7-9d0a-b118bd6f65ed",
      "metadata": {
        "id": "34ad2647-5cfd-40f7-9d0a-b118bd6f65ed",
        "outputId": "58b4e7f5-bb18-4f6e-faf5-617b66413247"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "9"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(soup.find_all('div', {'data-header-feature': '0'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "477b5423-7c03-4e15-ae43-87f95f612a19",
      "metadata": {
        "id": "477b5423-7c03-4e15-ae43-87f95f612a19",
        "outputId": "b16af525-86bd-4961-82a7-e38d170aba7f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://theconversation.com/curious-kids-why-is-our-dog-so-cute-138035'"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "soup.find_all('div', {'data-header-feature': '0'})[0].find_all('a')[0]['href']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "590b6ca3-4a65-4cd2-87ee-e71935496d2a",
      "metadata": {
        "id": "590b6ca3-4a65-4cd2-87ee-e71935496d2a",
        "outputId": "42812288-5238-4462-d49a-fc878d596576"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://www.rover.com/blog/science-cute-dogs/'"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "soup.find_all('div', {'data-header-feature': '0'})[1].find_all('a')[0]['href']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f2c8ea6c-c245-4f72-a0ea-4d9ee142ce15",
      "metadata": {
        "id": "f2c8ea6c-c245-4f72-a0ea-4d9ee142ce15",
        "outputId": "0b9774cd-1fba-47f5-b3c2-a31c887b528a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://dogsnstuff.net/why-are-dogs-so-cute/'"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "soup.find_all('div', {'data-header-feature': '0'})[2].find_all('a')[0]['href']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "dc768d75-dca3-4cd1-a634-ee387fa8b17c",
      "metadata": {
        "id": "dc768d75-dca3-4cd1-a634-ee387fa8b17c"
      },
      "outputs": [],
      "source": [
        "for article in soup.find_all('div', {'data-header-feature': '0'}):\n",
        "\tarticles.append(article.find_all('a')[0]['href'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5f8139c7-8942-47a7-bd26-bb56d8d8ea0b",
      "metadata": {
        "id": "5f8139c7-8942-47a7-bd26-bb56d8d8ea0b",
        "outputId": "15824504-6dd8-40f1-e88c-b43b2c58ca6e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute#:~:text=In%20the%20past%2C%20research%20suggested,dogs%20are%20a%20perfect%20example.',\n",
              " 'https://theconversation.com/curious-kids-why-is-our-dog-so-cute-138035',\n",
              " 'https://www.rover.com/blog/science-cute-dogs/',\n",
              " 'https://dogsnstuff.net/why-are-dogs-so-cute/',\n",
              " 'https://www.owu.edu/news-media/from-our-perspective/why-is-my-dog-so-cute/',\n",
              " 'https://www.wsj.com/story/national-dog-day-what-makes-your-pup-so-cute-its-all-in-the-eyebrows-feff3811',\n",
              " 'https://www.sciencefocus.com/nature/why-do-we-find-puppies-so-cute/',\n",
              " 'https://www.quora.com/What-makes-a-dog-cute-to-a-human-being',\n",
              " 'https://www.psychologytoday.com/us/blog/thinking-about-kids/202003/why-are-puppies-so-cute',\n",
              " 'https://vcahospitals.com/know-your-pet/what-your-dogs-cute-behaviors-really-mean']"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "articles"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "32797fe8-ac9e-4357-8e90-7f0278f3c16e",
      "metadata": {
        "id": "32797fe8-ac9e-4357-8e90-7f0278f3c16e"
      },
      "source": [
        "### **Combine article titles and urls as a dataframe**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a5e34386-0f9b-4952-a607-b7c846b822ab",
      "metadata": {
        "id": "a5e34386-0f9b-4952-a607-b7c846b822ab",
        "outputId": "3cf35c3f-0003-4b3f-898b-2053e5ccb2ec"
      },
      "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>title</th>\n",
              "      <th>url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>The Scientific Reason Behind Why We Find Dogs ...</td>\n",
              "      <td>https://www.dabl.com/dabl-home/dabl-home/artic...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Curious Kids: Why is our dog so cute? - The Co...</td>\n",
              "      <td>https://theconversation.com/curious-kids-why-i...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>The Science of Cute: How Cuteness Makes Us Lov...</td>\n",
              "      <td>https://www.rover.com/blog/science-cute-dogs/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Why Are Dogs So Cute? - Dogs 'N Stuff</td>\n",
              "      <td>https://dogsnstuff.net/why-are-dogs-so-cute/</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Why is my dog so cute? | Ohio Wesleyan University</td>\n",
              "      <td>https://www.owu.edu/news-media/from-our-perspe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Science Explains What Makes Your Dog So Cute -...</td>\n",
              "      <td>https://www.wsj.com/story/national-dog-day-wha...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Why do we find puppies so cute? - BBC Science ...</td>\n",
              "      <td>https://www.sciencefocus.com/nature/why-do-we-...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>What makes a dog cute to a human being? - Quora</td>\n",
              "      <td>https://www.quora.com/What-makes-a-dog-cute-to...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Why Are Puppies So Cute? | Psychology Today</td>\n",
              "      <td>https://www.psychologytoday.com/us/blog/thinki...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>What Your Dog's Cute Behaviors Really Mean</td>\n",
              "      <td>https://vcahospitals.com/know-your-pet/what-yo...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               title  \\\n",
              "0  The Scientific Reason Behind Why We Find Dogs ...   \n",
              "1  Curious Kids: Why is our dog so cute? - The Co...   \n",
              "2  The Science of Cute: How Cuteness Makes Us Lov...   \n",
              "3              Why Are Dogs So Cute? - Dogs 'N Stuff   \n",
              "4  Why is my dog so cute? | Ohio Wesleyan University   \n",
              "5  Science Explains What Makes Your Dog So Cute -...   \n",
              "6  Why do we find puppies so cute? - BBC Science ...   \n",
              "7    What makes a dog cute to a human being? - Quora   \n",
              "8        Why Are Puppies So Cute? | Psychology Today   \n",
              "9         What Your Dog's Cute Behaviors Really Mean   \n",
              "\n",
              "                                                 url  \n",
              "0  https://www.dabl.com/dabl-home/dabl-home/artic...  \n",
              "1  https://theconversation.com/curious-kids-why-i...  \n",
              "2      https://www.rover.com/blog/science-cute-dogs/  \n",
              "3       https://dogsnstuff.net/why-are-dogs-so-cute/  \n",
              "4  https://www.owu.edu/news-media/from-our-perspe...  \n",
              "5  https://www.wsj.com/story/national-dog-day-wha...  \n",
              "6  https://www.sciencefocus.com/nature/why-do-we-...  \n",
              "7  https://www.quora.com/What-makes-a-dog-cute-to...  \n",
              "8  https://www.psychologytoday.com/us/blog/thinki...  \n",
              "9  https://vcahospitals.com/know-your-pet/what-yo...  "
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "articles_df = pd.concat([pd.Series(titles), pd.Series(articles)], axis = 1)\n",
        "articles_df.columns = ['title', 'url']\n",
        "articles_df"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a1598c51-7c0d-4c5d-bb14-57195ab9a7f3",
      "metadata": {
        "id": "a1598c51-7c0d-4c5d-bb14-57195ab9a7f3"
      },
      "source": [
        "### **Scraping the first article in the dataframe**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ef07cb4b-b9a2-40b0-90d5-8b0cb14f3440",
      "metadata": {
        "id": "ef07cb4b-b9a2-40b0-90d5-8b0cb14f3440"
      },
      "outputs": [],
      "source": [
        "url = articles_df.iloc[0].url"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9dca759a-3f61-45e9-99c9-b8dc5a68acf4",
      "metadata": {
        "id": "9dca759a-3f61-45e9-99c9-b8dc5a68acf4"
      },
      "outputs": [],
      "source": [
        "driver = webdriver.Chrome()\n",
        "driver.get(url)\n",
        "html_data = driver.page_source\n",
        "soup = BeautifulSoup(html_data, 'html.parser')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6cdb38ef-1276-4e85-b0a1-bcc88c9a7417",
      "metadata": {
        "id": "6cdb38ef-1276-4e85-b0a1-bcc88c9a7417"
      },
      "source": [
        "### **The title**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "69ba07e2-d26b-444a-a476-fb96540bae6f",
      "metadata": {
        "id": "69ba07e2-d26b-444a-a476-fb96540bae6f",
        "outputId": "cba905e0-9348-47a0-8880-93e2f6f90127"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'The Scientific Reason Behind Why We Find Dogs So Cute '"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "title = soup.find_all('h1')[0].text\n",
        "title"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7475906b-895b-4ebe-b6ff-89caefb342ab",
      "metadata": {
        "id": "7475906b-895b-4ebe-b6ff-89caefb342ab"
      },
      "source": [
        "### **What can be found in the meta data?**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "95500c6c-4ca3-414d-9341-46a69681788e",
      "metadata": {
        "id": "95500c6c-4ca3-414d-9341-46a69681788e",
        "outputId": "572e5305-c228-4a4f-900e-f4f8e009ffba"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[<meta content=\"#e70058\" name=\"theme-color\"/>,\n",
              " <meta content=\"width=device-width\" name=\"viewport\"/>,\n",
              " <meta charset=\"utf-8\"/>,\n",
              " <meta content=\"max-image-preview:large\" name=\"robots\"/>,\n",
              " <meta content=\"summary_large_image\" name=\"twitter:card\"/>,\n",
              " <meta content=\"The Scientific Reason Behind Why We Find Dogs So Cute \" name=\"description\"/>,\n",
              " <meta content=\"https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute\" property=\"og:url\"/>,\n",
              " <meta content=\"The Scientific Reason Behind Why We Find Dogs So Cute \" property=\"og:title\"/>,\n",
              " <meta content=\"https://api.dabl.com/sites/default/files/styles/video_1280x720/public/images/2022-05/istock-1170679242.jpg?h=c549983f\" property=\"og:image\"/>,\n",
              " <meta content=\"The Scientific Reason Behind Why We Find Dogs So Cute \" property=\"og:description\"/>,\n",
              " <meta content=\"https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute\" name=\"twitter:url\"/>,\n",
              " <meta content=\"1280\" name=\"twitter:image:width\"/>,\n",
              " <meta content=\"720\" name=\"twitter:image:height\"/>,\n",
              " <meta content=\"https://api.dabl.com/sites/default/files/styles/video_1280x720/public/images/2022-05/istock-1170679242.jpg?h=c549983f\" name=\"twitter:image\"/>,\n",
              " <meta content=\"\" name=\"keywords\"/>,\n",
              " <meta content=\"The Scientific Reason Behind Why We Find Dogs So Cute \" name=\"twitter:title\"/>,\n",
              " <meta content=\"A recent study revealed the science behind why humans find dogs so adorable, and it’s at least partially our own fault! \" name=\"twitter:description\"/>,\n",
              " <meta content=\"The Scientific Reason Behind Why We Find Dogs So Cute \" property=\"og:title\"/>,\n",
              " <meta content=\"A recent study revealed the science behind why humans find dogs so adorable, and it’s at least partially our own fault! \" property=\"og:description\"/>,\n",
              " <meta content=\"21\" name=\"next-head-count\"/>,\n",
              " <meta content=\"A751Xsk4ZW3DVQ8WZng2Dk5s3YzAyqncTzgv+VaE6wavgTY0QHkDvUTET1o7HanhuJO8lgv1Vvc88Ij78W1FIAAAAAB7eyJvcmlnaW4iOiJodHRwczovL3d3dy5nb29nbGV0YWdtYW5hZ2VyLmNvbTo0NDMiLCJmZWF0dXJlIjoiUHJpdmFjeVNhbmRib3hBZHNBUElzIiwiZXhwaXJ5IjoxNjgwNjUyNzk5LCJpc1RoaXJkUGFydHkiOnRydWV9\" http-equiv=\"origin-trial\"/>,\n",
              " <meta content=\"A751Xsk4ZW3DVQ8WZng2Dk5s3YzAyqncTzgv+VaE6wavgTY0QHkDvUTET1o7HanhuJO8lgv1Vvc88Ij78W1FIAAAAAB7eyJvcmlnaW4iOiJodHRwczovL3d3dy5nb29nbGV0YWdtYW5hZ2VyLmNvbTo0NDMiLCJmZWF0dXJlIjoiUHJpdmFjeVNhbmRib3hBZHNBUElzIiwiZXhwaXJ5IjoxNjgwNjUyNzk5LCJpc1RoaXJkUGFydHkiOnRydWV9\" http-equiv=\"origin-trial\"/>]"
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "soup.find_all('meta')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b6563e5e-30d0-4fbd-9a04-45ee04e1152b",
      "metadata": {
        "id": "b6563e5e-30d0-4fbd-9a04-45ee04e1152b"
      },
      "source": [
        "### **Title via meta data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a3899ed4-26ac-46b3-93f2-ecea7550bdd8",
      "metadata": {
        "id": "a3899ed4-26ac-46b3-93f2-ecea7550bdd8",
        "outputId": "ee42ac4d-1fb5-4034-8b79-2397742cc473"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'The Scientific Reason Behind Why We Find Dogs So Cute '"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "title_metadata = [x.attrs for x in soup.find_all('meta') if 'og:title' in list(x.attrs.values())]\n",
        "title = title_metadata[0]['content']\n",
        "title"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "20258724-24d7-40d7-96ed-9f7de2211e81",
      "metadata": {
        "id": "20258724-24d7-40d7-96ed-9f7de2211e81"
      },
      "source": [
        "### **URL via meta data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "aaa0d967-ab4a-46dc-bd7e-09f8e2cc781d",
      "metadata": {
        "id": "aaa0d967-ab4a-46dc-bd7e-09f8e2cc781d",
        "outputId": "6fd4b27b-6a0f-4222-e053-f1a311b8e49c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute'"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "url_metadata = [x.attrs for x in soup.find_all('meta') if 'og:url' in list(x.attrs.values())]\n",
        "url = url_metadata[0]['content']\n",
        "url"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "25fa0a62-8698-423e-8950-73d3a7bc78ee",
      "metadata": {
        "id": "25fa0a62-8698-423e-8950-73d3a7bc78ee",
        "outputId": "9adf57cb-be85-4b87-dee9-c37a4d86239d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"100%\"\n",
              "            height=\"400\"\n",
              "            src=\"https://www.dabl.com/dabl-home/dabl-home/articles/scientific-reason-behind-why-we-find-dogs-so-cute\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "            \n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.IFrame at 0x7fdd38d4d090>"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "display.IFrame(url, '100%', 400)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "498ea2e4-fb82-49ef-961a-7287e61d0bef",
      "metadata": {
        "id": "498ea2e4-fb82-49ef-961a-7287e61d0bef"
      },
      "source": [
        "### **Image via meta data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8507c7e0-2803-443d-8d7f-d8a0f0696781",
      "metadata": {
        "id": "8507c7e0-2803-443d-8d7f-d8a0f0696781",
        "outputId": "b54906de-e6e7-4b58-a206-2d7f8c1c64a3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'https://api.dabl.com/sites/default/files/styles/video_1280x720/public/images/2022-05/istock-1170679242.jpg?h=c549983f'"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "image_metadata = [x.attrs for x in soup.find_all('meta') if 'og:image' in list(x.attrs.values())]\n",
        "image = image_metadata[0]['content']\n",
        "image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6118ed6a-2f1b-48c3-8cef-7f53747db57a",
      "metadata": {
        "id": "6118ed6a-2f1b-48c3-8cef-7f53747db57a",
        "outputId": "ea6fd962-e403-41ea-eb35-1ac4574c51e5"
      },
      "outputs": [
        {
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 40,
          "metadata": {
            "image/jpeg": {
              "width": 600
            }
          },
          "output_type": "execute_result"
        }
      ],
      "source": [
        "display.Image(data=image.replace('?h=c549983f', ''), \n",
        "\t\t\t  width = 600)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "95da7f26-b614-46dd-bad4-0c177b6acd53",
      "metadata": {
        "id": "95da7f26-b614-46dd-bad4-0c177b6acd53"
      },
      "source": [
        "### **Getting author data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7e25e7a7-561a-4163-81cf-8a4ceaa72ded",
      "metadata": {
        "id": "7e25e7a7-561a-4163-81cf-8a4ceaa72ded",
        "outputId": "c77d5117-a49f-4ffb-d238-59d8da8d3b50"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<div class=\"content__presented-by\"><div class=\"content__show-badge\"><img alt=\"Dabl At Home Dec 2020\" height=\"144\" src=\"https://api.dabl.com/sites/default/files/styles/144x144/public/images/2020-12/DablAtHome_0.jpg?h=df1a205b\" width=\"144\"/></div><div>Presented By<br/><span>Dabl at Home</span></div></div>"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "soup.find_all('div', {'class': 'content__presented-by'})[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "bccf63dc-99ba-4f52-9c3c-a84e96fb044c",
      "metadata": {
        "id": "bccf63dc-99ba-4f52-9c3c-a84e96fb044c",
        "outputId": "32efd5a4-0eb4-4093-e1c7-c9d39cc612b4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'Dabl at Home'"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "author = soup.find_all('div', {'class': 'content__presented-by'})[0]\\\n",
        "\t\t\t\t\t\t       .text.replace('Presented By', '')\n",
        "author"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "941a9a1d-cd6d-4a58-9fd3-53039815ffbb",
      "metadata": {
        "id": "941a9a1d-cd6d-4a58-9fd3-53039815ffbb"
      },
      "source": [
        "### **First method of getting article text**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b00cd180-3afd-47d1-8c29-39db9ead95f1",
      "metadata": {
        "id": "b00cd180-3afd-47d1-8c29-39db9ead95f1",
        "outputId": "5d3764bb-e51c-4136-f259-b3b3087d6b06"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'A recent study revealed the science behind why humans find dogs so adorable, and it’s at least partially our own fault!It’s no secret that dogs are adorable, and most pet owners would argue that their furry friend is the cutest in existence! But have you ever wondered what it is about your dog’s appearance that makes him so irresistible? Scientists have recently uncovered a genetic reason behind your fur baby’s endearing puppy dog eyes, but we’re going to have to go back in time many years to fully explain it.It’s thought that our bond with wolves — the ancestors of domesticated dogs — began approximately 40,000 years when most humans lived as hunter-gatherers. Dogs weren’t born until humans startedselectively breeding wolves with the most desirable traits an estimated 33,000 years agoto act as their companions. Thus, the dogs we know and love today were born and man gained a new best friend, forming a bond between our species that has withstood thousands of years.But anew studyhas found that humanity has imparted more on dogs than we initially realized, and it’s a key factor in why we find them so cute. In an effort to communicate with their human counterparts — and as a result of selectively breeding dogs whose facial expressions looked similar to our own — dogs have learned to mirror the expressions of their owners. Consequently, the looks our dogs mimic are what makes us fall in love with their appearances.Specifically, dogsdeveloped different facial musclesfrom wolves that allow them to replicate human expressions through eyebrow movement, with the evolutionary purpose of making themselves more endearing and communicating with their owners. While wolves primarily utilize “slow-twitch” muscle fibers that are useful for long, extended movements like howling, dogs predominantly use “fast-twitch” muscle fibers. These muscles allow dogs to mimic the facial expressions of humans when they’re sad, and to make their eyes appear larger, giving them an almost childlike appearance that really makes those puppy dog eyes sweep us off our feet. The study also found that dogs are unique from other mammals in that they are the only species that can demonstrate the bond they share with their pet parent through a mutual gaze.In the past, research suggested we found dogs to be cute because they subconsciously reminded us of babies and we are instinctually hardwired to want to care for and protect our young. It’s aphenomenon called kinderschema, of which dogs are a perfect example. Kinderschema describes mammals with large rounded eyes, small noses, and disproportionate head sizes with little mouths and chins that we find adorable because it reminds us of our own babies. This new study is one of the first times science has really investigated the role our dog’s facial anatomy plays in dog-human interactions and in developing affection toward our pets, and we areherefor it!Get more great inspiration, ideas, and pet parent tips on Dabl! Check ourDabl TV scheduleand find outwhere to watch Dabl TV.Related:How Does The Weather Impact Your Pet’s Mental Health?Related:New Puppy Checklist: What To Buy Before Bringing Your New Pet HomeRelated:6 Reasons To Become A Foster Home For Pets In Need!Dogs'"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "article_text = soup.find_all('div', \n",
        "\t\t\t\t\t\t\t {'class': 'content__body-main'})[0]\\\n",
        "\t\t\t\t\t\t\t  .get_text(strip=True).replace('\\u200b', '')\n",
        "\n",
        "article_text"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f6af1822-a30e-416d-adb8-0dabf79ac125",
      "metadata": {
        "id": "f6af1822-a30e-416d-adb8-0dabf79ac125"
      },
      "source": [
        "### **Second method of getting article text**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5a267e59-7f26-4650-89e9-13a29bbbebbf",
      "metadata": {
        "id": "5a267e59-7f26-4650-89e9-13a29bbbebbf",
        "outputId": "e81a20fc-4e9b-4eaf-9848-346397e12bf3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "'It’s no secret that dogs are adorable, and most pet owners would argue that their furry friend is the cutest in existence! But have you ever wondered what it is about your dog’s appearance that makes him so irresistible? Scientists have recently uncovered a genetic reason behind your fur baby’s endearing puppy dog eyes, but we’re going to have to go back in time many years to fully explain it. It’s thought that our bond with wolves — the ancestors of domesticated dogs — began approximately 40,000 years when most humans lived as hunter-gatherers. Dogs weren’t born until humans startedselectively breeding wolves with the most desirable traits an estimated 33,000 years agoto act as their companions. Thus, the dogs we know and love today were born and man gained a new best friend, forming a bond between our species that has withstood thousands of years. But anew studyhas found that humanity has imparted more on dogs than we initially realized, and it’s a key factor in why we find them so cute. In an effort to communicate with their human counterparts — and as a result of selectively breeding dogs whose facial expressions looked similar to our own — dogs have learned to mirror the expressions of their owners. Consequently, the looks our dogs mimic are what makes us fall in love with their appearances. Specifically, dogsdeveloped different facial musclesfrom wolves that allow them to replicate human expressions through eyebrow movement, with the evolutionary purpose of making themselves more endearing and communicating with their owners. While wolves primarily utilize “slow-twitch” muscle fibers that are useful for long, extended movements like howling, dogs predominantly use “fast-twitch” muscle fibers. These muscles allow dogs to mimic the facial expressions of humans when they’re sad, and to make their eyes appear larger, giving them an almost childlike appearance that really makes those puppy dog eyes sweep us off our feet. The study also found that dogs are unique from other mammals in that they are the only species that can demonstrate the bond they share with their pet parent through a mutual gaze. In the past, research suggested we found dogs to be cute because they subconsciously reminded us of babies and we are instinctually hardwired to want to care for and protect our young. It’s aphenomenon called \\u200b\\u200bkinderschema, of which dogs are a perfect example. Kinderschema describes mammals with large rounded eyes, small noses, and disproportionate head sizes with little mouths and chins that we find adorable because it reminds us of our own babies. This new study is one of the first times science has really investigated the role our dog’s facial anatomy plays in dog-human interactions and in developing affection toward our pets, and we areherefor it! Get more great inspiration, ideas, and pet parent tips on Dabl! Check ourDabl TV scheduleand find outwhere to watch Dabl TV.  '"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "article_text = ' '.join([p.get_text(strip=True) for p in soup.find_all('p')])\n",
        "article_text"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6e044655-8126-4972-88cc-e7d59a3be96d",
      "metadata": {
        "id": "6e044655-8126-4972-88cc-e7d59a3be96d"
      },
      "source": [
        "### **Compiling the data as a dataframe**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "21a942ba-a42c-4575-993e-d14d1ff742a1",
      "metadata": {
        "id": "21a942ba-a42c-4575-993e-d14d1ff742a1",
        "outputId": "6eb1ffe2-6106-4917-fc34-b63e4bbfbdc4"
      },
      "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>title</th>\n",
              "      <th>author</th>\n",
              "      <th>article_text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>The Scientific Reason Behind Why We Find Dogs ...</td>\n",
              "      <td>Dabl at Home</td>\n",
              "      <td>It’s no secret that dogs are adorable, and mos...</td>\n",
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              "0  The Scientific Reason Behind Why We Find Dogs ...  Dabl at Home   \n",
              "\n",
              "                                        article_text  \n",
              "0  It’s no secret that dogs are adorable, and mos...  "
            ]
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