Upload 01_API_Data.ipynb

01 Codes/01_API_Data.ipynb

@@ -0,0 +1,121 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> Notebook to download data using twitter's API"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tweepy\n",
+    "import os\n",
+    "import csv\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Saved the API Keys in the environment variables\n",
+    "consumer_key = os.getenv(\"TWITTER_CONSUMER_KEY\")\n",
+    "consumer_secret = os.getenv(\"TWITTER_CONSUMER_SECRET\")\n",
+    "access_token = os.getenv(\"TWITTER_ACCESS_TOKEN\")\n",
+    "access_token_secret = os.getenv(\"TWITTER_ACCESS_TOKEN_SECRET\")\n",
+    "bearer_token = os.getenv(\"BEARER_TOKEN\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "from requests_oauthlib import OAuth1\n",
+    "import urllib\n",
+    "\n",
+    "\n",
+    "auth = OAuth1(consumer_key, consumer_secret, access_token, access_token_secret)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "https://api.twitter.com/2/tweets/search/recent?query=%23AppleVisionPro-is:retweets&tweet.fields=author_id,created_at&max_results=10000\n"
+     ]
+    }
+   ],
+   "source": [
+    "def create_url():\n",
+    "    query = urllib.parse.quote(\"#AppleVisionPro\") + \"-is:retweets\"\n",
+    "    tweet_fields = \"tweet.fields=author_id,created_at\"\n",
+    "    max_results = \"max_results=10000\"\n",
+    "    url = \"https://api.twitter.com/2/tweets/search/recent?query={}&{}&{}\".format(\n",
+    "        query, tweet_fields, max_results\n",
+    "    )\n",
+    "    print(url)\n",
+    "    return url\n",
+    "\n",
+    "\n",
+    "def connect_to_endpoint(url):\n",
+    "    headers = {\n",
+    "        \"Authorization\": \"Bearer \" + bearer_token,\n",
+    "        \"Content-Type\": \"application/json\",\n",
+    "    }\n",
+    "    response = requests.get(url, headers=headers, auth=auth)\n",
+    "    # print(response)\n",
+    "    return response.json()\n",
+    "\n",
+    "\n",
+    "def main():\n",
+    "    url = create_url()\n",
+    "    json_response = connect_to_endpoint(url)\n",
+    "    # Create a DataFrame from the JSON response\n",
+    "    df = pd.json_normalize(json_response)\n",
+    "    # Save the DataFrame as a Parquet file\n",
+    "    df.to_parquet(\"avp_tweets.parquet.gzip\", compression=\"gzip\")\n",
+    "\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    main()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": 2
+}