Firm Addition

MarketWatch.ipynb

@@ -0,0 +1,110 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "132001000000.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from urllib.request import urlopen\n",
+    "from urllib.parse import quote\n",
+    "from bs4 import BeautifulSoup\n",
+    "import time\n",
+    "import re\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "select_year = 2021\n",
+    "\n",
+    "try:\n",
+    "    html = urlopen(\n",
+    "        f\"https://www.marketwatch.com/investing/stock/ibm/financials/balance-sheet\"\n",
+    "    )\n",
+    "    time.sleep(0.1)\n",
+    "    bsObj = BeautifulSoup(html.read(), 'html.parser')\n",
+    "except Exception as e:\n",
+    "    print(e)\n",
+    "    print(\"Can't open url.\")\n",
+    "else:\n",
+    "    bs_table = bsObj.find(name=\"table\", attrs={\"aria-label\":\"Financials - Assets data table\"})\n",
+    "    bs = bs_table.find(name=\"tr\", attrs={\"class\":\"table__row\"}).find_all(lambda tag: tag.name == 'th' and \n",
+    "                                    tag.get('class') == ['overflow__heading'])\n",
+    "    years_list = [i.div.contents[0] for i in bs][0:-1]\n",
+    "    years_list = map(int, years_list)\n",
+    "    bs = bs_table.find_all(name=\"tr\", attrs={\"class\":\"table__row is-highlighted\"})\n",
+    "    for i in bs:\n",
+    "        if i.td.div.contents[0] == 'Total Assets':\n",
+    "            string = i.find(\"div\", attrs={\"class\":\"chart--financials js-financial-chart\"}).attrs['data-chart-data']\n",
+    "            total_assets_list = string.split(',')\n",
+    "            total_assets_list = map(float, total_assets_list)\n",
+    "    total_assets = pd.DataFrame({\"year\":years_list,'total_asset':total_assets_list})\n",
+    "    print(total_assets.loc[total_assets['year']==2021,'total_asset'].to_list()[0])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<th class=\"overflow__heading fixed--column m70\">\n",
+       "<div class=\"cell__content fixed--cell\">Item</div>\n",
+       "<div class=\"cell__content\">Item</div>\n",
+       "</th>"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bs_table.th"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.8.8"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "bcdafc093860683ffb58d6956591562b7f8ed5d58147d17d71a5d4d6605a08df"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}