twitter-unfollow.ipynb

twitter-unfollow.ipynb

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  "metadata": {
    "colab": {
      "name": "twitter-unfollow.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPvmBNi6ybzh03oqQrRZHOQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/svpino/d7312c82162f093a4cb55e76b9805437/twitter-unfollow.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fUpFTRp7eooH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "import tweepy\n",
        "import pandas as pd\n",
        "from datetime import datetime, timedelta"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EE7qH-Vdes0w",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "API_KEY = \"YOUR API KEY GOES HERE\"\n",
        "API_KEY_SECRET = \"YOUR API KEY SECRET GOES HERE\"\n",
        "ACCESS_TOKEN = \"YOUR ACCESS TOKEN GOES HERE\"\n",
        "ACCESS_TOKEN_SECRET = \"YOUR ACCESS TOKEN SECRET GOES HERE\"\n",
        "\n",
        "USER = \"YOUR USER GOES HERE\"\n",
        "\n",
        "# Any user you are following that hasn't posted during the \n",
        "# last DAYS_WITHOUT_ACTIVITY days will be unfolled.\n",
        "DAYS_WITHOUT_ACTIVITY = 60\n",
        "\n",
        "# Any user that posts less than once every 5 days will be\n",
        "# unfollowed. \n",
        "DAILY_TWEET_FREQUENCY = 1. / 5"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EMCouEuHhUxO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "auth = tweepy.OAuthHandler(API_KEY, API_KEY_SECRET)\n",
        "auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)\n",
        "api = tweepy.API(auth, wait_on_rate_limit=True)"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ac5FKQEBoYvT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "threshold = datetime.now() - timedelta(days=DAYS_WITHOUT_ACTIVITY)"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WydohrPBh8JM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "count = 0\n",
        "data = []\n",
        "for user in api.friends_ids(USER):\n",
        "    status = api.user_timeline(user, count=100)\n",
        "\n",
        "    span = ((status[0].created_at - status[-1].created_at).days)\n",
        "    frequency = (len(status) / span) if span > 0 else None\n",
        "    \n",
        "    if status[0].created_at < threshold or (frequency is not None and frequency < DAILY_TWEET_FREQUENCY):\n",
        "        print(f\"Unfollowing @{status[0].user.screen_name} ({status[0].user.name}). Last status update on {status[0].created_at}. Frequency: {frequency:.2f}\")\n",
        "        api.destroy_friendship(user)\n",
        "        count += 1\n",
        "\n",
        "print(f\"You just unfollowed {count} accounts. @{USER} is now following {len(api.friends_ids(USER))}.\")\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7qCcjkHi1nrT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}

Very cool. Thanks for sharing.

I don't understand anything here. How do I use it

I don't understand anything here. How do I use it
This is data science @karenefereyan

I don't understand anything here. How do I use it

Do You know how to code

@kolanse you dont have to be an ass about it. Not everyone knows what Jupyter Notebooks are

This is very cool

I want to convert this to a python library

@fardeen9983 I actually know what jupyter notebook is. Thanks @hikky08

O my God!!!! This is awesome

Great stuff