Etsy Web Scraping Assignment.ipynb

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    "# These are the libraries we used - feel free to import any other libraries as necessary\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# You may have to download beautifulsoup by uncommenting and running the line below\n",
    "# !pip install beautifulsoup4\n",
    "\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "import requests"
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   "source": [
    "# Etsy Web Scraping  \n",
    "Pick an item/category, such as \"Backpacks\". Feel free to pick any item/category you want!"
   ]
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    "## 1.1: Make a histogram of item prices on the first page.  \n",
    "Use beautifulsoup to get the prices of all the items on the first page (as in the first page product results). Refer to the workshop demo if needed!\n",
    "\n",
    "Hint: which CSS class can be used to find all of the price tags?"
   ]
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    "# To get started:\n",
    "\n",
    "# Request URL\n",
    "page = requests.get(\"https://www.etsy.com/...\")\n",
    "\n",
    "# Fetch webpage\n",
    "soup = BeautifulSoup(page.content,\"html.parser\")"
   ]
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    "## 1.2: What is the mean of the prices in the first page?"
   ]
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    "## 2.1: Make a histogram of item prices on the second page.  \n",
    "Is there a noticable difference between this and the histogram of prices on the first page?"
   ]
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    "## 2.2: What is the mean of prices on the second page?"
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    "## 3.1: What is the distribution of all item prices in the first 20 pages?  \n",
    "Hint: look at the URL of the second page -- what part of the url can you change to move to the next page?"
   ]
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    "## 3.2: Is there a relationship between the page number and the average price of items on that page?\n",
    "\n",
    "Support your answer with a visualization"
   ]
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