rotten_tomatoes_4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install selenium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install webdriver_manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# abaixar software ---------------------- IMPORTANTE --------------------------------\n",
    "\n",
    "# driver = webdriver.Chrome(ChromeDriverManager().install())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pickle\n",
    "\n",
    "from selenium import webdriver\n",
    "from webdriver_manager.chrome import ChromeDriverManager\n",
    "from selenium.webdriver.common.by import By\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# marcamos apartir de qual filme comecar\n",
    "start = 2000\n",
    "\n",
    "# paramos o loop de links de filmes em \"m\" filmes\n",
    "m = 6000\n",
    "\n",
    "# selecionamos quantos filmes iremos coletar\n",
    "filmes = 2000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# instalacao dos drivers do chrome"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-5-c4eefdad9e85>:1: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver = webdriver.Chrome('path/chromedriver')\n"
     ]
    }
   ],
   "source": [
    "driver = webdriver.Chrome('path/chromedriver')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# obtencao das urls e links dos filmes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5956\r"
     ]
    }
   ],
   "source": [
    "links = []\n",
    "for k in range(1000):\n",
    "#     driver.get('https://www.rottentomatoes.com/browse/movies_in_theaters/?page={}'.format(j))\n",
    "    url = 'https://www.rottentomatoes.com/browse/movies_in_theaters/?page={}'.format(k)\n",
    "#     print(url, end=\"\\r\", flush=True)\n",
    "    try:\n",
    "        driver.get(url)\n",
    "    except:\n",
    "        break\n",
    "        \n",
    "    movie_we = driver.find_elements(By.CLASS_NAME, \"js-tile-link\")\n",
    "    \n",
    "    print(len(links), end=\"\\r\", flush=True)\n",
    "    \n",
    "    # obtencao dos links\n",
    "    for i in range(len(movie_we)):\n",
    "        links.append(movie_we[i].get_attribute('href'))\n",
    "        \n",
    "    if len(links) > m:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "# save python list\n",
    "with open(\"test\", \"w\") as fp:\n",
    "    json.dump(links, fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load saved python list\n",
    "with open(\"test\", \"r\") as fp:\n",
    "    links = json.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['https://www.rottentomatoes.com/m/lyle_lyle_crocodile',\n",
       " 'https://www.rottentomatoes.com/m/smile_2022',\n",
       " 'https://www.rottentomatoes.com/m/prey_for_the_devil',\n",
       " 'https://www.rottentomatoes.com/m/the_banshees_of_inisherin',\n",
       " 'https://www.rottentomatoes.com/m/one_piece_film_red',\n",
       " 'https://www.rottentomatoes.com/m/the_woman_king',\n",
       " 'https://www.rottentomatoes.com/m/triangle_of_sadness',\n",
       " 'https://www.rottentomatoes.com/m/tar_2022',\n",
       " 'https://www.rottentomatoes.com/m/till',\n",
       " 'https://www.rottentomatoes.com/m/minions_the_rise_of_gru',\n",
       " 'https://www.rottentomatoes.com/m/armageddon_time',\n",
       " 'https://www.rottentomatoes.com/m/decision_to_leave',\n",
       " 'https://www.rottentomatoes.com/m/all_the_beauty_and_the_bloodshed',\n",
       " 'https://www.rottentomatoes.com/m/barbarian_2022',\n",
       " 'https://www.rottentomatoes.com/m/amsterdam_2022',\n",
       " 'https://www.rottentomatoes.com/m/fire_of_love',\n",
       " 'https://www.rottentomatoes.com/m/dc_league_of_super_pets',\n",
       " 'https://www.rottentomatoes.com/m/eo',\n",
       " 'https://www.rottentomatoes.com/m/salvatore_shoemaker_of_dreams',\n",
       " 'https://www.rottentomatoes.com/m/the_good_house_2022',\n",
       " 'https://www.rottentomatoes.com/m/leonor_will_never_die',\n",
       " 'https://www.rottentomatoes.com/m/bad_axe',\n",
       " 'https://www.rottentomatoes.com/m/dont_worry_darling',\n",
       " 'https://www.rottentomatoes.com/m/there_there',\n",
       " 'https://www.rottentomatoes.com/m/cat_daddies',\n",
       " 'https://www.rottentomatoes.com/m/call_jane',\n",
       " 'https://www.rottentomatoes.com/m/running_the_bases',\n",
       " 'https://www.rottentomatoes.com/m/murina',\n",
       " 'https://www.rottentomatoes.com/m/neptune_frost',\n",
       " 'https://www.rottentomatoes.com/m/only_in_theaters',\n",
       " 'https://www.rottentomatoes.com/m/utama',\n",
       " 'https://www.rottentomatoes.com/m/1982_2022',\n",
       " 'https://www.rottentomatoes.com/m/please_baby_please',\n",
       " 'https://www.rottentomatoes.com/m/the_automat',\n",
       " 'https://www.rottentomatoes.com/m/brainwashed_sex_camera_power',\n",
       " 'https://www.rottentomatoes.com/m/glass_onion_a_knives_out_mystery',\n",
       " 'https://www.rottentomatoes.com/m/lady_chatterleys_lover_2022',\n",
       " 'https://www.rottentomatoes.com/m/white_noise_2022',\n",
       " 'https://www.rottentomatoes.com/m/nanny',\n",
       " 'https://www.rottentomatoes.com/m/the_son',\n",
       " 'https://www.rottentomatoes.com/m/bhediya',\n",
       " 'https://www.rottentomatoes.com/m/battle_for_saipan',\n",
       " 'https://www.rottentomatoes.com/m/the_king_of_laughter',\n",
       " 'https://www.rottentomatoes.com/m/most_guys_are_losers',\n",
       " 'https://www.rottentomatoes.com/m/an_inconvenient_love',\n",
       " 'https://www.rottentomatoes.com/m/tich_button',\n",
       " 'https://www.rottentomatoes.com/m/users',\n",
       " 'https://www.rottentomatoes.com/m/freedom_on_fire_ukraines_fight_for_freedom',\n",
       " 'https://www.rottentomatoes.com/m/padachone_ingalu_katholi',\n",
       " 'https://www.rottentomatoes.com/m/pattathu_arasan',\n",
       " 'https://www.rottentomatoes.com/m/its_christmas_again',\n",
       " 'https://www.rottentomatoes.com/m/evangelion_30_101_thrice_upon_a_time',\n",
       " 'https://www.rottentomatoes.com/m/nct_dream_the_movie_in_a_dream',\n",
       " 'https://www.rottentomatoes.com/m/portrait_of_the_queen',\n",
       " 'https://www.rottentomatoes.com/m/the_harbinger_2022',\n",
       " 'https://www.rottentomatoes.com/m/neil_young_harvest_time',\n",
       " 'https://www.rottentomatoes.com/m/i_heard_the_bells',\n",
       " 'https://www.rottentomatoes.com/m/violent_night',\n",
       " 'https://www.rottentomatoes.com/m/emancipation_2023',\n",
       " 'https://www.rottentomatoes.com/m/the_eternal_daughter',\n",
       " 'https://www.rottentomatoes.com/m/the_inspection',\n",
       " 'https://www.rottentomatoes.com/m/christmas_with_the_campbells',\n",
       " 'https://www.rottentomatoes.com/m/close_2022',\n",
       " 'https://www.rottentomatoes.com/m/last_film_show',\n",
       " 'https://www.rottentomatoes.com/m/hunt_2022',\n",
       " 'https://www.rottentomatoes.com/m/2nd_chance',\n",
       " 'https://www.rottentomatoes.com/m/savage_salvation',\n",
       " 'https://www.rottentomatoes.com/m/tantura',\n",
       " 'https://www.rottentomatoes.com/m/four_samosas',\n",
       " 'https://www.rottentomatoes.com/m/return_to_seoul',\n",
       " 'https://www.rottentomatoes.com/m/angry_neighbors',\n",
       " 'https://www.rottentomatoes.com/m/what_remains_2022',\n",
       " 'https://www.rottentomatoes.com/m/nr_10',\n",
       " 'https://www.rottentomatoes.com/m/the_quintessential_quintuplets_movie',\n",
       " 'https://www.rottentomatoes.com/m/the_quiet_epidemic',\n",
       " 'https://www.rottentomatoes.com/m/twisted_2022',\n",
       " 'https://www.rottentomatoes.com/m/food_and_romance',\n",
       " 'https://www.rottentomatoes.com/m/framing_agnes_2022',\n",
       " 'https://www.rottentomatoes.com/m/amigo',\n",
       " 'https://www.rottentomatoes.com/m/lowndes_county_and_the_road_to_black_power',\n",
       " 'https://www.rottentomatoes.com/m/hashtag_blessed_the_movie',\n",
       " 'https://www.rottentomatoes.com/m/almighty_zeus',\n",
       " 'https://www.rottentomatoes.com/m/renegades_2022',\n",
       " 'https://www.rottentomatoes.com/m/reflections_of_a_broken_memory',\n",
       " 'https://www.rottentomatoes.com/m/black_panther_wakanda_forever',\n",
       " 'https://www.rottentomatoes.com/m/strange_world_2022',\n",
       " 'https://www.rottentomatoes.com/m/devotion_2022',\n",
       " 'https://www.rottentomatoes.com/m/the_menu',\n",
       " 'https://www.rottentomatoes.com/m/black_adam',\n",
       " 'https://www.rottentomatoes.com/m/the_fabelmans',\n",
       " 'https://www.rottentomatoes.com/m/bones_and_all',\n",
       " 'https://www.rottentomatoes.com/m/ticket_to_paradise_2022',\n",
       " 'https://www.rottentomatoes.com/m/she_said',\n",
       " 'https://www.rottentomatoes.com/m/lyle_lyle_crocodile',\n",
       " 'https://www.rottentomatoes.com/m/smile_2022',\n",
       " 'https://www.rottentomatoes.com/m/prey_for_the_devil',\n",
       " 'https://www.rottentomatoes.com/m/the_banshees_of_inisherin',\n",
       " 'https://www.rottentomatoes.com/m/one_piece_film_red',\n",
       " 'https://www.rottentomatoes.com/m/the_woman_king',\n",
       " 'https://www.rottentomatoes.com/m/triangle_of_sadness',\n",
       " 'https://www.rottentomatoes.com/m/tar_2022',\n",
       " 'https://www.rottentomatoes.com/m/till',\n",
       " 'https://www.rottentomatoes.com/m/minions_the_rise_of_gru',\n",
       " 'https://www.rottentomatoes.com/m/armageddon_time',\n",
       " 'https://www.rottentomatoes.com/m/decision_to_leave',\n",
       " 'https://www.rottentomatoes.com/m/all_the_beauty_and_the_bloodshed',\n",
       " 'https://www.rottentomatoes.com/m/barbarian_2022',\n",
       " 'https://www.rottentomatoes.com/m/amsterdam_2022',\n",
       " 'https://www.rottentomatoes.com/m/fire_of_love',\n",
       " 'https://www.rottentomatoes.com/m/dc_league_of_super_pets',\n",
       " 'https://www.rottentomatoes.com/m/eo',\n",
       " 'https://www.rottentomatoes.com/m/salvatore_shoemaker_of_dreams',\n",
       " 'https://www.rottentomatoes.com/m/the_good_house_2022',\n",
       " 'https://www.rottentomatoes.com/m/leonor_will_never_die',\n",
       " 'https://www.rottentomatoes.com/m/bad_axe',\n",
       " 'https://www.rottentomatoes.com/m/dont_worry_darling',\n",
       " 'https://www.rottentomatoes.com/m/there_there',\n",
       " 'https://www.rottentomatoes.com/m/cat_daddies',\n",
       " 'https://www.rottentomatoes.com/m/call_jane',\n",
       " 'https://www.rottentomatoes.com/m/running_the_bases',\n",
       " 'https://www.rottentomatoes.com/m/murina',\n",
       " 'https://www.rottentomatoes.com/m/neptune_frost',\n",
       " 'https://www.rottentomatoes.com/m/only_in_theaters',\n",
       " 'https://www.rottentomatoes.com/m/utama',\n",
       " 'https://www.rottentomatoes.com/m/1982_2022',\n",
       " 'https://www.rottentomatoes.com/m/please_baby_please',\n",
       " 'https://www.rottentomatoes.com/m/the_automat',\n",
       " 'https://www.rottentomatoes.com/m/brainwashed_sex_camera_power',\n",
       " 'https://www.rottentomatoes.com/m/glass_onion_a_knives_out_mystery',\n",
       " 'https://www.rottentomatoes.com/m/lady_chatterleys_lover_2022',\n",
       " 'https://www.rottentomatoes.com/m/white_noise_2022',\n",
       " 'https://www.rottentomatoes.com/m/nanny',\n",
       " 'https://www.rottentomatoes.com/m/the_son',\n",
       " 'https://www.rottentomatoes.com/m/bhediya',\n",
       " 'https://www.rottentomatoes.com/m/battle_for_saipan',\n",
       " 'https://www.rottentomatoes.com/m/the_king_of_laughter',\n",
       " 'https://www.rottentomatoes.com/m/most_guys_are_losers',\n",
       " 'https://www.rottentomatoes.com/m/an_inconvenient_love',\n",
       " 'https://www.rottentomatoes.com/m/tich_button',\n",
       " 'https://www.rottentomatoes.com/m/users',\n",
       " 'https://www.rottentomatoes.com/m/freedom_on_fire_ukraines_fight_for_freedom',\n",
       " 'https://www.rottentomatoes.com/m/padachone_ingalu_katholi',\n",
       " 'https://www.rottentomatoes.com/m/pattathu_arasan',\n",
       " 'https://www.rottentomatoes.com/m/its_christmas_again',\n",
       " 'https://www.rottentomatoes.com/m/evangelion_30_101_thrice_upon_a_time',\n",
       " 'https://www.rottentomatoes.com/m/nct_dream_the_movie_in_a_dream',\n",
       " 'https://www.rottentomatoes.com/m/portrait_of_the_queen',\n",
       " 'https://www.rottentomatoes.com/m/the_harbinger_2022',\n",
       " 'https://www.rottentomatoes.com/m/neil_young_harvest_time',\n",
       " 'https://www.rottentomatoes.com/m/i_heard_the_bells',\n",
       " 'https://www.rottentomatoes.com/m/violent_night',\n",
       " 'https://www.rottentomatoes.com/m/emancipation_2023',\n",
       " 'https://www.rottentomatoes.com/m/the_eternal_daughter',\n",
       " 'https://www.rottentomatoes.com/m/the_inspection',\n",
       " 'https://www.rottentomatoes.com/m/christmas_with_the_campbells',\n",
       " 'https://www.rottentomatoes.com/m/close_2022',\n",
       " 'https://www.rottentomatoes.com/m/last_film_show',\n",
       " 'https://www.rottentomatoes.com/m/hunt_2022',\n",
       " 'https://www.rottentomatoes.com/m/2nd_chance',\n",
       " 'https://www.rottentomatoes.com/m/savage_salvation',\n",
       " 'https://www.rottentomatoes.com/m/tantura',\n",
       " 'https://www.rottentomatoes.com/m/four_samosas',\n",
       " 'https://www.rottentomatoes.com/m/return_to_seoul',\n",
       " 'https://www.rottentomatoes.com/m/angry_neighbors',\n",
       " 'https://www.rottentomatoes.com/m/what_remains_2022',\n",
       " 'https://www.rottentomatoes.com/m/nr_10',\n",
       " 'https://www.rottentomatoes.com/m/the_quintessential_quintuplets_movie',\n",
       " 'https://www.rottentomatoes.com/m/the_quiet_epidemic',\n",
       " 'https://www.rottentomatoes.com/m/twisted_2022',\n",
       " 'https://www.rottentomatoes.com/m/food_and_romance',\n",
       " 'https://www.rottentomatoes.com/m/framing_agnes_2022',\n",
       " 'https://www.rottentomatoes.com/m/amigo',\n",
       " 'https://www.rottentomatoes.com/m/lowndes_county_and_the_road_to_black_power',\n",
       " 'https://www.rottentomatoes.com/m/hashtag_blessed_the_movie',\n",
       " 'https://www.rottentomatoes.com/m/almighty_zeus',\n",
       " 'https://www.rottentomatoes.com/m/renegades_2022',\n",
       " 'https://www.rottentomatoes.com/m/reflections_of_a_broken_memory',\n",
       " 'https://www.rottentomatoes.com/m/black_panther_wakanda_forever',\n",
       " 'https://www.rottentomatoes.com/m/strange_world_2022',\n",
       " 'https://www.rottentomatoes.com/m/devotion_2022',\n",
       " 'https://www.rottentomatoes.com/m/the_menu',\n",
       " 'https://www.rottentomatoes.com/m/black_adam',\n",
       " 'https://www.rottentomatoes.com/m/the_fabelmans',\n",
       " 'https://www.rottentomatoes.com/m/bones_and_all',\n",
       " 'https://www.rottentomatoes.com/m/ticket_to_paradise_2022',\n",
       " 'https://www.rottentomatoes.com/m/she_said',\n",
       " 'https://www.rottentomatoes.com/m/lyle_lyle_crocodile',\n",
       " 'https://www.rottentomatoes.com/m/smile_2022',\n",
       " 'https://www.rottentomatoes.com/m/prey_for_the_devil',\n",
       " 'https://www.rottentomatoes.com/m/the_banshees_of_inisherin',\n",
       " 'https://www.rottentomatoes.com/m/one_piece_film_red',\n",
       " 'https://www.rottentomatoes.com/m/the_woman_king',\n",
       " 'https://www.rottentomatoes.com/m/triangle_of_sadness',\n",
       " 'https://www.rottentomatoes.com/m/tar_2022',\n",
       " 'https://www.rottentomatoes.com/m/till',\n",
       " 'https://www.rottentomatoes.com/m/minions_the_rise_of_gru',\n",
       " 'https://www.rottentomatoes.com/m/armageddon_time',\n",
       " 'https://www.rottentomatoes.com/m/decision_to_leave',\n",
       " 'https://www.rottentomatoes.com/m/all_the_beauty_and_the_bloodshed',\n",
       " 'https://www.rottentomatoes.com/m/barbarian_2022',\n",
       " 'https://www.rottentomatoes.com/m/amsterdam_2022',\n",
       " 'https://www.rottentomatoes.com/m/fire_of_love',\n",
       " 'https://www.rottentomatoes.com/m/dc_league_of_super_pets',\n",
       " 'https://www.rottentomatoes.com/m/eo',\n",
       " 'https://www.rottentomatoes.com/m/salvatore_shoemaker_of_dreams',\n",
       " 'https://www.rottentomatoes.com/m/the_good_house_2022',\n",
       " 'https://www.rottentomatoes.com/m/leonor_will_never_die',\n",
       " 'https://www.rottentomatoes.com/m/bad_axe',\n",
       " 'https://www.rottentomatoes.com/m/dont_worry_darling',\n",
       " 'https://www.rottentomatoes.com/m/there_there',\n",
       " 'https://www.rottentomatoes.com/m/cat_daddies',\n",
       " 'https://www.rottentomatoes.com/m/call_jane',\n",
       " 'https://www.rottentomatoes.com/m/running_the_bases',\n",
       " 'https://www.rottentomatoes.com/m/murina',\n",
       " 'https://www.rottentomatoes.com/m/neptune_frost',\n",
       " 'https://www.rottentomatoes.com/m/only_in_theaters',\n",
       " 'https://www.rottentomatoes.com/m/utama',\n",
       " 'https://www.rottentomatoes.com/m/1982_2022',\n",
       " 'https://www.rottentomatoes.com/m/please_baby_please',\n",
       " 'https://www.rottentomatoes.com/m/the_automat',\n",
       " 'https://www.rottentomatoes.com/m/brainwashed_sex_camera_power',\n",
       " 'https://www.rottentomatoes.com/m/glass_onion_a_knives_out_mystery',\n",
       " 'https://www.rottentomatoes.com/m/lady_chatterleys_lover_2022',\n",
       " 'https://www.rottentomatoes.com/m/white_noise_2022',\n",
       " 'https://www.rottentomatoes.com/m/nanny',\n",
       " 'https://www.rottentomatoes.com/m/the_son',\n",
       " 'https://www.rottentomatoes.com/m/bhediya',\n",
       " 'https://www.rottentomatoes.com/m/battle_for_saipan',\n",
       " 'https://www.rottentomatoes.com/m/the_king_of_laughter',\n",
       " 'https://www.rottentomatoes.com/m/most_guys_are_losers',\n",
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       " 'https://www.rottentomatoes.com/m/padachone_ingalu_katholi',\n",
       " 'https://www.rottentomatoes.com/m/pattathu_arasan',\n",
       " 'https://www.rottentomatoes.com/m/its_christmas_again',\n",
       " 'https://www.rottentomatoes.com/m/evangelion_30_101_thrice_upon_a_time',\n",
       " 'https://www.rottentomatoes.com/m/nct_dream_the_movie_in_a_dream',\n",
       " 'https://www.rottentomatoes.com/m/portrait_of_the_queen',\n",
       " 'https://www.rottentomatoes.com/m/the_harbinger_2022',\n",
       " 'https://www.rottentomatoes.com/m/neil_young_harvest_time',\n",
       " 'https://www.rottentomatoes.com/m/i_heard_the_bells',\n",
       " 'https://www.rottentomatoes.com/m/violent_night',\n",
       " 'https://www.rottentomatoes.com/m/emancipation_2023',\n",
       " 'https://www.rottentomatoes.com/m/the_eternal_daughter',\n",
       " 'https://www.rottentomatoes.com/m/the_inspection',\n",
       " 'https://www.rottentomatoes.com/m/christmas_with_the_campbells',\n",
       " 'https://www.rottentomatoes.com/m/close_2022',\n",
       " 'https://www.rottentomatoes.com/m/last_film_show',\n",
       " 'https://www.rottentomatoes.com/m/hunt_2022',\n",
       " 'https://www.rottentomatoes.com/m/2nd_chance',\n",
       " 'https://www.rottentomatoes.com/m/savage_salvation',\n",
       " 'https://www.rottentomatoes.com/m/tantura',\n",
       " 'https://www.rottentomatoes.com/m/four_samosas',\n",
       " 'https://www.rottentomatoes.com/m/return_to_seoul',\n",
       " 'https://www.rottentomatoes.com/m/angry_neighbors',\n",
       " 'https://www.rottentomatoes.com/m/what_remains_2022',\n",
       " 'https://www.rottentomatoes.com/m/nr_10',\n",
       " 'https://www.rottentomatoes.com/m/the_quintessential_quintuplets_movie',\n",
       " 'https://www.rottentomatoes.com/m/the_quiet_epidemic',\n",
       " 'https://www.rottentomatoes.com/m/twisted_2022',\n",
       " 'https://www.rottentomatoes.com/m/food_and_romance',\n",
       " 'https://www.rottentomatoes.com/m/framing_agnes_2022',\n",
       " 'https://www.rottentomatoes.com/m/amigo',\n",
       " 'https://www.rottentomatoes.com/m/lowndes_county_and_the_road_to_black_power',\n",
       " 'https://www.rottentomatoes.com/m/hashtag_blessed_the_movie',\n",
       " 'https://www.rottentomatoes.com/m/almighty_zeus',\n",
       " 'https://www.rottentomatoes.com/m/renegades_2022',\n",
       " 'https://www.rottentomatoes.com/m/reflections_of_a_broken_memory',\n",
       " 'https://www.rottentomatoes.com/m/black_panther_wakanda_forever',\n",
       " 'https://www.rottentomatoes.com/m/strange_world_2022',\n",
       " 'https://www.rottentomatoes.com/m/devotion_2022',\n",
       " 'https://www.rottentomatoes.com/m/the_menu',\n",
       " 'https://www.rottentomatoes.com/m/black_adam',\n",
       " 'https://www.rottentomatoes.com/m/the_fabelmans',\n",
       " 'https://www.rottentomatoes.com/m/bones_and_all',\n",
       " 'https://www.rottentomatoes.com/m/ticket_to_paradise_2022',\n",
       " 'https://www.rottentomatoes.com/m/she_said',\n",
       " 'https://www.rottentomatoes.com/m/lyle_lyle_crocodile',\n",
       " 'https://www.rottentomatoes.com/m/smile_2022',\n",
       " 'https://www.rottentomatoes.com/m/prey_for_the_devil',\n",
       " 'https://www.rottentomatoes.com/m/the_banshees_of_inisherin',\n",
       " 'https://www.rottentomatoes.com/m/one_piece_film_red',\n",
       " 'https://www.rottentomatoes.com/m/the_woman_king',\n",
       " 'https://www.rottentomatoes.com/m/triangle_of_sadness',\n",
       " 'https://www.rottentomatoes.com/m/tar_2022',\n",
       " 'https://www.rottentomatoes.com/m/till',\n",
       " 'https://www.rottentomatoes.com/m/minions_the_rise_of_gru',\n",
       " 'https://www.rottentomatoes.com/m/armageddon_time',\n",
       " 'https://www.rottentomatoes.com/m/decision_to_leave',\n",
       " 'https://www.rottentomatoes.com/m/all_the_beauty_and_the_bloodshed',\n",
       " 'https://www.rottentomatoes.com/m/barbarian_2022',\n",
       " 'https://www.rottentomatoes.com/m/amsterdam_2022',\n",
       " 'https://www.rottentomatoes.com/m/fire_of_love',\n",
       " 'https://www.rottentomatoes.com/m/dc_league_of_super_pets',\n",
       " 'https://www.rottentomatoes.com/m/eo',\n",
       " 'https://www.rottentomatoes.com/m/salvatore_shoemaker_of_dreams',\n",
       " 'https://www.rottentomatoes.com/m/the_good_house_2022',\n",
       " 'https://www.rottentomatoes.com/m/leonor_will_never_die',\n",
       " 'https://www.rottentomatoes.com/m/bad_axe',\n",
       " 'https://www.rottentomatoes.com/m/dont_worry_darling',\n",
       " 'https://www.rottentomatoes.com/m/there_there',\n",
       " 'https://www.rottentomatoes.com/m/cat_daddies',\n",
       " 'https://www.rottentomatoes.com/m/call_jane',\n",
       " 'https://www.rottentomatoes.com/m/running_the_bases',\n",
       " 'https://www.rottentomatoes.com/m/murina',\n",
       " 'https://www.rottentomatoes.com/m/neptune_frost',\n",
       " 'https://www.rottentomatoes.com/m/only_in_theaters',\n",
       " 'https://www.rottentomatoes.com/m/utama',\n",
       " 'https://www.rottentomatoes.com/m/1982_2022',\n",
       " 'https://www.rottentomatoes.com/m/please_baby_please',\n",
       " 'https://www.rottentomatoes.com/m/the_automat',\n",
       " 'https://www.rottentomatoes.com/m/brainwashed_sex_camera_power',\n",
       " 'https://www.rottentomatoes.com/m/glass_onion_a_knives_out_mystery',\n",
       " 'https://www.rottentomatoes.com/m/lady_chatterleys_lover_2022',\n",
       " 'https://www.rottentomatoes.com/m/white_noise_2022',\n",
       " 'https://www.rottentomatoes.com/m/nanny',\n",
       " 'https://www.rottentomatoes.com/m/the_son',\n",
       " 'https://www.rottentomatoes.com/m/bhediya',\n",
       " 'https://www.rottentomatoes.com/m/battle_for_saipan',\n",
       " 'https://www.rottentomatoes.com/m/the_king_of_laughter',\n",
       " 'https://www.rottentomatoes.com/m/most_guys_are_losers',\n",
       " 'https://www.rottentomatoes.com/m/an_inconvenient_love',\n",
       " 'https://www.rottentomatoes.com/m/tich_button',\n",
       " 'https://www.rottentomatoes.com/m/users',\n",
       " 'https://www.rottentomatoes.com/m/freedom_on_fire_ukraines_fight_for_freedom',\n",
       " 'https://www.rottentomatoes.com/m/padachone_ingalu_katholi',\n",
       " 'https://www.rottentomatoes.com/m/pattathu_arasan',\n",
       " 'https://www.rottentomatoes.com/m/its_christmas_again',\n",
       " 'https://www.rottentomatoes.com/m/evangelion_30_101_thrice_upon_a_time',\n",
       " 'https://www.rottentomatoes.com/m/nct_dream_the_movie_in_a_dream',\n",
       " 'https://www.rottentomatoes.com/m/portrait_of_the_queen',\n",
       " 'https://www.rottentomatoes.com/m/the_harbinger_2022',\n",
       " 'https://www.rottentomatoes.com/m/neil_young_harvest_time',\n",
       " 'https://www.rottentomatoes.com/m/i_heard_the_bells',\n",
       " 'https://www.rottentomatoes.com/m/violent_night',\n",
       " 'https://www.rottentomatoes.com/m/emancipation_2023',\n",
       " 'https://www.rottentomatoes.com/m/the_eternal_daughter',\n",
       " 'https://www.rottentomatoes.com/m/the_inspection',\n",
       " 'https://www.rottentomatoes.com/m/christmas_with_the_campbells',\n",
       " 'https://www.rottentomatoes.com/m/close_2022',\n",
       " 'https://www.rottentomatoes.com/m/last_film_show',\n",
       " 'https://www.rottentomatoes.com/m/hunt_2022',\n",
       " 'https://www.rottentomatoes.com/m/2nd_chance',\n",
       " 'https://www.rottentomatoes.com/m/savage_salvation',\n",
       " 'https://www.rottentomatoes.com/m/tantura',\n",
       " 'https://www.rottentomatoes.com/m/four_samosas',\n",
       " 'https://www.rottentomatoes.com/m/return_to_seoul',\n",
       " 'https://www.rottentomatoes.com/m/angry_neighbors',\n",
       " 'https://www.rottentomatoes.com/m/what_remains_2022',\n",
       " 'https://www.rottentomatoes.com/m/nr_10',\n",
       " 'https://www.rottentomatoes.com/m/the_quintessential_quintuplets_movie',\n",
       " 'https://www.rottentomatoes.com/m/the_quiet_epidemic',\n",
       " 'https://www.rottentomatoes.com/m/twisted_2022',\n",
       " 'https://www.rottentomatoes.com/m/food_and_romance',\n",
       " 'https://www.rottentomatoes.com/m/framing_agnes_2022',\n",
       " 'https://www.rottentomatoes.com/m/amigo',\n",
       " 'https://www.rottentomatoes.com/m/lowndes_county_and_the_road_to_black_power',\n",
       " 'https://www.rottentomatoes.com/m/hashtag_blessed_the_movie',\n",
       " 'https://www.rottentomatoes.com/m/almighty_zeus',\n",
       " 'https://www.rottentomatoes.com/m/renegades_2022',\n",
       " 'https://www.rottentomatoes.com/m/reflections_of_a_broken_memory',\n",
       " 'https://www.rottentomatoes.com/m/black_panther_wakanda_forever',\n",
       " 'https://www.rottentomatoes.com/m/strange_world_2022',\n",
       " 'https://www.rottentomatoes.com/m/devotion_2022',\n",
       " 'https://www.rottentomatoes.com/m/the_menu',\n",
       " 'https://www.rottentomatoes.com/m/black_adam',\n",
       " 'https://www.rottentomatoes.com/m/the_fabelmans',\n",
       " 'https://www.rottentomatoes.com/m/bones_and_all',\n",
       " 'https://www.rottentomatoes.com/m/ticket_to_paradise_2022',\n",
       " 'https://www.rottentomatoes.com/m/she_said',\n",
       " 'https://www.rottentomatoes.com/m/lyle_lyle_crocodile',\n",
       " 'https://www.rottentomatoes.com/m/smile_2022',\n",
       " 'https://www.rottentomatoes.com/m/prey_for_the_devil',\n",
       " 'https://www.rottentomatoes.com/m/the_banshees_of_inisherin',\n",
       " 'https://www.rottentomatoes.com/m/one_piece_film_red',\n",
       " 'https://www.rottentomatoes.com/m/the_woman_king',\n",
       " 'https://www.rottentomatoes.com/m/triangle_of_sadness',\n",
       " 'https://www.rottentomatoes.com/m/tar_2022',\n",
       " 'https://www.rottentomatoes.com/m/till',\n",
       " 'https://www.rottentomatoes.com/m/minions_the_rise_of_gru',\n",
       " 'https://www.rottentomatoes.com/m/armageddon_time',\n",
       " 'https://www.rottentomatoes.com/m/decision_to_leave',\n",
       " 'https://www.rottentomatoes.com/m/all_the_beauty_and_the_bloodshed',\n",
       " 'https://www.rottentomatoes.com/m/barbarian_2022',\n",
       " 'https://www.rottentomatoes.com/m/amsterdam_2022',\n",
       " 'https://www.rottentomatoes.com/m/fire_of_love',\n",
       " 'https://www.rottentomatoes.com/m/dc_league_of_super_pets',\n",
       " 'https://www.rottentomatoes.com/m/eo',\n",
       " 'https://www.rottentomatoes.com/m/salvatore_shoemaker_of_dreams',\n",
       " 'https://www.rottentomatoes.com/m/the_good_house_2022',\n",
       " 'https://www.rottentomatoes.com/m/leonor_will_never_die',\n",
       " 'https://www.rottentomatoes.com/m/bad_axe',\n",
       " 'https://www.rottentomatoes.com/m/dont_worry_darling',\n",
       " 'https://www.rottentomatoes.com/m/there_there',\n",
       " 'https://www.rottentomatoes.com/m/cat_daddies',\n",
       " 'https://www.rottentomatoes.com/m/call_jane',\n",
       " 'https://www.rottentomatoes.com/m/running_the_bases',\n",
       " 'https://www.rottentomatoes.com/m/murina',\n",
       " 'https://www.rottentomatoes.com/m/neptune_frost',\n",
       " 'https://www.rottentomatoes.com/m/only_in_theaters',\n",
       " 'https://www.rottentomatoes.com/m/utama',\n",
       " 'https://www.rottentomatoes.com/m/1982_2022',\n",
       " 'https://www.rottentomatoes.com/m/please_baby_please',\n",
       " 'https://www.rottentomatoes.com/m/the_automat',\n",
       " 'https://www.rottentomatoes.com/m/brainwashed_sex_camera_power',\n",
       " 'https://www.rottentomatoes.com/m/glass_onion_a_knives_out_mystery',\n",
       " 'https://www.rottentomatoes.com/m/lady_chatterleys_lover_2022',\n",
       " 'https://www.rottentomatoes.com/m/white_noise_2022',\n",
       " 'https://www.rottentomatoes.com/m/nanny',\n",
       " 'https://www.rottentomatoes.com/m/the_son',\n",
       " 'https://www.rottentomatoes.com/m/bhediya',\n",
       " 'https://www.rottentomatoes.com/m/battle_for_saipan',\n",
       " 'https://www.rottentomatoes.com/m/the_king_of_laughter',\n",
       " 'https://www.rottentomatoes.com/m/most_guys_are_losers',\n",
       " 'https://www.rottentomatoes.com/m/an_inconvenient_love',\n",
       " 'https://www.rottentomatoes.com/m/tich_button',\n",
       " 'https://www.rottentomatoes.com/m/users',\n",
       " 'https://www.rottentomatoes.com/m/freedom_on_fire_ukraines_fight_for_freedom',\n",
       " 'https://www.rottentomatoes.com/m/padachone_ingalu_katholi',\n",
       " 'https://www.rottentomatoes.com/m/pattathu_arasan',\n",
       " 'https://www.rottentomatoes.com/m/its_christmas_again',\n",
       " 'https://www.rottentomatoes.com/m/evangelion_30_101_thrice_upon_a_time',\n",
       " 'https://www.rottentomatoes.com/m/nct_dream_the_movie_in_a_dream',\n",
       " 'https://www.rottentomatoes.com/m/portrait_of_the_queen',\n",
       " 'https://www.rottentomatoes.com/m/the_harbinger_2022',\n",
       " 'https://www.rottentomatoes.com/m/neil_young_harvest_time',\n",
       " 'https://www.rottentomatoes.com/m/i_heard_the_bells',\n",
       " 'https://www.rottentomatoes.com/m/violent_night',\n",
       " 'https://www.rottentomatoes.com/m/emancipation_2023',\n",
       " 'https://www.rottentomatoes.com/m/the_eternal_daughter',\n",
       " 'https://www.rottentomatoes.com/m/the_inspection',\n",
       " 'https://www.rottentomatoes.com/m/christmas_with_the_campbells',\n",
       " 'https://www.rottentomatoes.com/m/close_2022',\n",
       " 'https://www.rottentomatoes.com/m/last_film_show',\n",
       " 'https://www.rottentomatoes.com/m/hunt_2022',\n",
       " 'https://www.rottentomatoes.com/m/2nd_chance',\n",
       " 'https://www.rottentomatoes.com/m/savage_salvation',\n",
       " 'https://www.rottentomatoes.com/m/tantura',\n",
       " 'https://www.rottentomatoes.com/m/four_samosas',\n",
       " 'https://www.rottentomatoes.com/m/return_to_seoul',\n",
       " ...]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "links[2000:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6049"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(links)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# obtencao das informacoes dos filmes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# links --> lista com links dos filmes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# selecionamos um pedaco da lista de links de filmes comencando pelo \"start\"\n",
    "links = links[start:]\n",
    "\n",
    "def create_df(n):\n",
    "    '''\n",
    "    n: numero de filmes a coletar\n",
    "    start: numero da lista do link do filme que vamos comecar a coletar\n",
    "    '''\n",
    "    \n",
    "    \n",
    "    \n",
    "    # listas para armazenar a informacao\n",
    "    nomes = []\n",
    "    TOMATOMETER = []\n",
    "    TOMATOMETER_rev = []\n",
    "    aud_scr = []\n",
    "    aud_scr_rev = []\n",
    "\n",
    "    genre = []\n",
    "    language = []\n",
    "    director = []\n",
    "    producer = []\n",
    "    writer = []\n",
    "    rel_date_th = []\n",
    "    rel_date_stream = []\n",
    "    box = []\n",
    "    runtime = []\n",
    "    distributor = []\n",
    "    description = []\n",
    "\n",
    "#     for k in range(1000):\n",
    "#     #     driver.get('https://www.rottentomatoes.com/browse/movies_in_theaters/?page={}'.format(j))\n",
    "#         url = 'https://www.rottentomatoes.com/browse/movies_in_theaters/?page={}'.format(k)\n",
    "#     #     print(url, end=\"\\r\", flush=True)\n",
    "\n",
    "\n",
    "    for j in range(len(links[:n])):\n",
    "        \n",
    "        # mostra quantos filmes ja varreu\n",
    "        print(j, end=\"\\r\", flush=True)\n",
    "        \n",
    "        # entramos no site do filme\n",
    "        driver.get(links[j])\n",
    "\n",
    "        # informacoes da descricao do filme\n",
    "        info_we = driver.find_elements(By.CLASS_NAME, \"media-body\")\n",
    "        # informações mais breves da descricao\n",
    "        short_info = info_we[0].text.split('\\n')[2:]\n",
    "\n",
    "        # informacoes principais do filme: nome, scores e quantidade de reviews\n",
    "        info_main = driver.find_elements(By.CLASS_NAME, \"scoreboard\")\n",
    "        info_main = info_main[0].text.split('\\n')\n",
    "\n",
    "        # dicionario para armazenar as infos do filme\n",
    "        short_info_dic = dict()\n",
    "\n",
    "        # acrescentamos tambem as informacoes principais\n",
    "        short_info_dic['Nome'] = info_main[0]\n",
    "        short_info_dic['TOMATOMETER'] = info_main[2]\n",
    "        short_info_dic['TOMATOMETER reviews'] = info_main[4]\n",
    "        short_info_dic['AUDIENCE SCORE'] = info_main[5]\n",
    "        short_info_dic['AUDIENCE SCORE reviews'] = info_main[7]\n",
    "\n",
    "        # informacoes breves do filme\n",
    "        for i in range(len(short_info)):\n",
    "            infos = short_info[i].split(': ')\n",
    "            try:\n",
    "                short_info_dic[infos[0]] = infos[1]\n",
    "            except:\n",
    "                short_info_dic[infos[0]] = np.nan\n",
    "\n",
    "        # resumo e descricao do filme\n",
    "        short_info_dic[info_we[0].text.split('\\n')[0]] = info_we[0].text.split('\\n')[1]\n",
    "\n",
    "        # colocamos as informacoes nas listas\n",
    "        try:\n",
    "            nomes.append(short_info_dic['Nome'])\n",
    "        except:\n",
    "            nomes.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            TOMATOMETER.append(short_info_dic['TOMATOMETER'])\n",
    "        except:\n",
    "            TOMATOMETER.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            TOMATOMETER_rev.append(short_info_dic['TOMATOMETER reviews'])\n",
    "        except:\n",
    "            TOMATOMETER_rev.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            aud_scr.append(short_info_dic['AUDIENCE SCORE'])\n",
    "        except:\n",
    "            aud_scr.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            aud_scr_rev.append(short_info_dic['AUDIENCE SCORE reviews'])\n",
    "        except:\n",
    "            aud_scr_rev.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            genre.append(short_info_dic['Genre'])\n",
    "        except:\n",
    "            genre.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            language.append(short_info_dic['Original Language'])\n",
    "        except:\n",
    "            language.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            director.append(short_info_dic['Director'])\n",
    "        except:\n",
    "            director.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            producer.append(short_info_dic['Producer'])\n",
    "        except:\n",
    "            producer.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            writer.append(short_info_dic['Writer'])\n",
    "        except:\n",
    "            writer.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            rel_date_th.append(short_info_dic['Release Date (Theaters)'])\n",
    "        except:\n",
    "            rel_date_th.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            rel_date_stream.append(short_info_dic['Release Date (Streaming)'])\n",
    "        except:\n",
    "            rel_date_stream.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            box.append(short_info_dic['Box Office (Gross USA)'])\n",
    "        except:\n",
    "            box.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            runtime.append(short_info_dic['Runtime'])\n",
    "        except:\n",
    "            runtime.append(np.nan)\n",
    "        \n",
    "        try:\n",
    "            distributor.append(short_info_dic['Distributor'])\n",
    "        except:\n",
    "            distributor.append(np.nan)\n",
    "            \n",
    "        try:\n",
    "            description.append(short_info_dic['MOVIE INFO'])\n",
    "        except:\n",
    "            description.append(np.nan)\n",
    "        \n",
    "    df = pd.DataFrame() \n",
    "\n",
    "    df['Movie Name'] = nomes\n",
    "    df['Audience Score'] = aud_scr\n",
    "    df['AUDIENCE SCORE reviews'] = aud_scr_rev\n",
    "    df['Tomatometer Score'] = TOMATOMETER\n",
    "    df['TOMATOMETER reviews'] = nomes\n",
    "    df['Genre'] = genre\n",
    "    df['Original Language'] = language\n",
    "    df['Director'] = director\n",
    "    df['Producer'] = producer\n",
    "    df['Writer'] = writer\n",
    "    df['Release Date (Theaters)'] = rel_date_th\n",
    "    df['Release Date (Streaming)'] = rel_date_stream\n",
    "    df['box office'] = box\n",
    "    df['Runtime'] = runtime\n",
    "    df['Distributor'] = distributor\n",
    "    df['MOVIE INFO'] = description\n",
    "    \n",
    "\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2999\r"
     ]
    }
   ],
   "source": [
    "df = create_df(3000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3089 deu erro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie Name</th>\n",
       "      <th>Audience Score</th>\n",
       "      <th>AUDIENCE SCORE reviews</th>\n",
       "      <th>Tomatometer Score</th>\n",
       "      <th>TOMATOMETER reviews</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Original Language</th>\n",
       "      <th>Director</th>\n",
       "      <th>Producer</th>\n",
       "      <th>Writer</th>\n",
       "      <th>Release Date (Theaters)</th>\n",
       "      <th>Release Date (Streaming)</th>\n",
       "      <th>box office</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Distributor</th>\n",
       "      <th>MOVIE INFO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2995</th>\n",
       "      <td>THE GOOD HOUSE</td>\n",
       "      <td>76%</td>\n",
       "      <td>100+ Verified Ratings</td>\n",
       "      <td>72%</td>\n",
       "      <td>THE GOOD HOUSE</td>\n",
       "      <td>Romance, Comedy, Drama</td>\n",
       "      <td>English</td>\n",
       "      <td>Maya Forbes, Wallace Wolodarsky</td>\n",
       "      <td>Jane Rosenthal, Berry Welsh, Aaron Ryder</td>\n",
       "      <td>Maya Forbes, Wallace Wolodarsky, Thomas Bezucha</td>\n",
       "      <td>Sep 30, 2022  Limited</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$2.2M</td>\n",
       "      <td>1h 43m</td>\n",
       "      <td>Lionsgate / Roadside Attractions</td>\n",
       "      <td>The Good House follows Hildy Good (Sigourney W...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2996</th>\n",
       "      <td>LEONOR WILL NEVER DIE</td>\n",
       "      <td>100%</td>\n",
       "      <td>Fewer than 50 Ratings</td>\n",
       "      <td>90%</td>\n",
       "      <td>LEONOR WILL NEVER DIE</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Filipino</td>\n",
       "      <td>Martika Ramirez Escobar</td>\n",
       "      <td>Monster Jimenez, Mario Cornejo</td>\n",
       "      <td>Martika Ramirez Escobar, Martika Ramirez Escobar</td>\n",
       "      <td>Nov 25, 2022  Limited</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$3.2K</td>\n",
       "      <td>1h 39m</td>\n",
       "      <td>Music Box Films</td>\n",
       "      <td>Leonor Reyes was once a major player in the Fi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2997</th>\n",
       "      <td>BAD AXE</td>\n",
       "      <td>100%</td>\n",
       "      <td>Fewer than 50 Ratings</td>\n",
       "      <td>95%</td>\n",
       "      <td>BAD AXE</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>English</td>\n",
       "      <td>David Siev</td>\n",
       "      <td>Jude Hope Harris, Diane Moy Quon, David Siev, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nov 18, 2022  Limited</td>\n",
       "      <td>Nov 18, 2022</td>\n",
       "      <td>$16.7K</td>\n",
       "      <td>1h 42m</td>\n",
       "      <td>IFC Films</td>\n",
       "      <td>A real-time portrait of 2020 unfolds as an Asi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2998</th>\n",
       "      <td>DON'T WORRY DARLING</td>\n",
       "      <td>74%</td>\n",
       "      <td>1,000+ Verified Ratings</td>\n",
       "      <td>38%</td>\n",
       "      <td>DON'T WORRY DARLING</td>\n",
       "      <td>Mystery &amp; Thriller</td>\n",
       "      <td>English</td>\n",
       "      <td>Olivia Wilde</td>\n",
       "      <td>Olivia Wilde, Katie Silberman, Miri Yoon, Roy Lee</td>\n",
       "      <td>Katie Silberman</td>\n",
       "      <td>Sep 23, 2022  Wide</td>\n",
       "      <td>Oct 25, 2022</td>\n",
       "      <td>$45.3M</td>\n",
       "      <td>2h 3m</td>\n",
       "      <td>Warner Bros. Pictures</td>\n",
       "      <td>Alice and Jack are lucky to be living in the i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2999</th>\n",
       "      <td>THERE THERE</td>\n",
       "      <td>--</td>\n",
       "      <td>Fewer than 50 Ratings</td>\n",
       "      <td>45%</td>\n",
       "      <td>THERE THERE</td>\n",
       "      <td>Drama, Comedy, Romance</td>\n",
       "      <td>English</td>\n",
       "      <td>Andrew Bujalski</td>\n",
       "      <td>Houston King, Dia Sokol Savage, Sam Bisbee</td>\n",
       "      <td>Andrew Bujalski</td>\n",
       "      <td>Nov 18, 2022  Limited</td>\n",
       "      <td>Nov 18, 2022</td>\n",
       "      <td>$7.1K</td>\n",
       "      <td>1h 34m</td>\n",
       "      <td>Magnolia Pictures</td>\n",
       "      <td>Acclaimed filmmaker Andrew Bujalski (Support t...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Movie Name Audience Score   AUDIENCE SCORE reviews  \\\n",
       "2995         THE GOOD HOUSE            76%    100+ Verified Ratings   \n",
       "2996  LEONOR WILL NEVER DIE           100%    Fewer than 50 Ratings   \n",
       "2997                BAD AXE           100%    Fewer than 50 Ratings   \n",
       "2998    DON'T WORRY DARLING            74%  1,000+ Verified Ratings   \n",
       "2999            THERE THERE             --    Fewer than 50 Ratings   \n",
       "\n",
       "     Tomatometer Score    TOMATOMETER reviews                   Genre  \\\n",
       "2995               72%         THE GOOD HOUSE  Romance, Comedy, Drama   \n",
       "2996               90%  LEONOR WILL NEVER DIE                   Drama   \n",
       "2997               95%                BAD AXE             Documentary   \n",
       "2998               38%    DON'T WORRY DARLING      Mystery & Thriller   \n",
       "2999               45%            THERE THERE  Drama, Comedy, Romance   \n",
       "\n",
       "     Original Language                         Director  \\\n",
       "2995           English  Maya Forbes, Wallace Wolodarsky   \n",
       "2996          Filipino          Martika Ramirez Escobar   \n",
       "2997           English                       David Siev   \n",
       "2998           English                     Olivia Wilde   \n",
       "2999           English                  Andrew Bujalski   \n",
       "\n",
       "                                               Producer  \\\n",
       "2995           Jane Rosenthal, Berry Welsh, Aaron Ryder   \n",
       "2996                     Monster Jimenez, Mario Cornejo   \n",
       "2997  Jude Hope Harris, Diane Moy Quon, David Siev, ...   \n",
       "2998  Olivia Wilde, Katie Silberman, Miri Yoon, Roy Lee   \n",
       "2999         Houston King, Dia Sokol Savage, Sam Bisbee   \n",
       "\n",
       "                                                Writer  \\\n",
       "2995   Maya Forbes, Wallace Wolodarsky, Thomas Bezucha   \n",
       "2996  Martika Ramirez Escobar, Martika Ramirez Escobar   \n",
       "2997                                               NaN   \n",
       "2998                                   Katie Silberman   \n",
       "2999                                   Andrew Bujalski   \n",
       "\n",
       "     Release Date (Theaters) Release Date (Streaming) box office Runtime  \\\n",
       "2995   Sep 30, 2022  Limited                      NaN      $2.2M  1h 43m   \n",
       "2996   Nov 25, 2022  Limited                      NaN      $3.2K  1h 39m   \n",
       "2997   Nov 18, 2022  Limited             Nov 18, 2022     $16.7K  1h 42m   \n",
       "2998      Sep 23, 2022  Wide             Oct 25, 2022     $45.3M   2h 3m   \n",
       "2999   Nov 18, 2022  Limited             Nov 18, 2022      $7.1K  1h 34m   \n",
       "\n",
       "                           Distributor  \\\n",
       "2995  Lionsgate / Roadside Attractions   \n",
       "2996                   Music Box Films   \n",
       "2997                         IFC Films   \n",
       "2998             Warner Bros. Pictures   \n",
       "2999                 Magnolia Pictures   \n",
       "\n",
       "                                             MOVIE INFO  \n",
       "2995  The Good House follows Hildy Good (Sigourney W...  \n",
       "2996  Leonor Reyes was once a major player in the Fi...  \n",
       "2997  A real-time portrait of 2020 unfolds as an Asi...  \n",
       "2998  Alice and Jack are lucky to be living in the i...  \n",
       "2999  Acclaimed filmmaker Andrew Bujalski (Support t...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data_output/2000_5000.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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