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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "621c09fe",
"metadata": {},
"outputs": [],
"source": [
"from bs4 import BeautifulSoup\n",
"import pandas as pd\n",
"\n",
"# Read HTML content from the file\n",
"with open(\"index.html\", \"r\", encoding=\"utf-8\") as file:\n",
" html_content = file.read()\n",
"\n",
"# Parse the HTML content\n",
"soup = BeautifulSoup(html_content, \"html.parser\")\n",
"\n",
"# Find the table\n",
"table = soup.find(\"table\")\n",
"\n",
"# Extract table data\n",
"if table:\n",
" rows = table.find_all(\"tr\")\n",
" data = []\n",
" for row in rows:\n",
" columns = row.find_all(\"td\")\n",
" if columns: # Ensure it's not a header row or empty row\n",
" row_data = [column.text.strip() for column in columns]\n",
" data.append(row_data)\n",
" # Create DataFrame\n",
" df = pd.DataFrame(data)\n",
" \n",
" # Extract first part and last word from the first column\n",
" df['Name'] = df[0].str.split().str[:-1].str.join(\" \")\n",
" df['Ticker'] = df[0].str.split().str[-1]\n",
" df[['Name', 'Ticker']].to_csv(\"Company List.csv\")\n",
"else:\n",
" print(\"Table not found in the HTML content.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "38efd2c9",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'c' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mc\u001b[49m)\n",
"\u001b[0;31mNameError\u001b[0m: name 'c' is not defined"
]
}
],
"source": [
"print(c)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6c185203",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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