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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"import pandas as pd\n",
"import json\n",
"import datetime\n",
"import numpy as np\n",
"from datetime import timedelta "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def getNews(api_key,endpoint,ticker,from_date,to_date,num=1000):\n",
" # Set the parameters for the request\n",
" params = {\n",
" \"api_token\": api_key,\n",
" \"s\": ticker,\n",
" \"from\": from_date, \n",
" \"to\": to_date,\n",
" \"limit\": num,\n",
" }\n",
" \n",
" # Make the request to the API\n",
" response = requests.get(endpoint, params=params)\n",
" \n",
" # Print the response from the API\n",
" #print(response.json())\n",
"\n",
" #Return a Pandas dataframe from the response\n",
" return pd.DataFrame(response.json())"
]
},
{
"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": "3.11.9"
},
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},
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"nbformat_minor": 2
}
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