{ "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" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }