{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Twitter NBA scrape\n",
    "Notebook to scrape tweets about the NBA.\n",
    "### Current status: waiting for \"premium\" account to be approved so I can access historical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import praw\n",
    "import time\n",
    "import requests\n",
    "from datetime import datetime\n",
    "from ast import literal_eval\n",
    "import json\n",
    "import pandas as pd\n",
    "import tweepy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "credentials = {}  \n",
    "with open(\"twitter_credentials.json\", \"r\") as file:  \n",
    "    credentials = json.load(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "auth = tweepy.OAuthHandler(credentials['CONSUMER_KEY'], credentials['CONSUMER_SECRET'])\n",
    "auth.set_access_token(credentials['ACCESS_TOKEN'], credentials['ACCESS_SECRET'])\n",
    "api = tweepy.API(auth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ganma = tweepy.Cursor(api.search, q=\"Kevin Love\",\n",
    "             since = \"2018-05-21\",\n",
    "             until=\"2018-05-22\",\n",
    "             lang=\"en\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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