Spotify_Web_API_2_of_2.ipynb

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    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "In this notebook, the songs that are not covered in the first notebook are acquired by searching on the ISRC, an non-proprietary song identifier. This second strategy is much preferred, but when we acquired the data, we stopped refining the process for acquiring the data. :)\n"
      ],
      "metadata": {
        "id": "tFaVoXCvIC7n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import pprint"
      ],
      "metadata": {
        "id": "Mng3aSpwla3f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p6cXYpLZlcJG",
        "outputId": "f635ca05-5436-48f6-8666-e573474f9f55"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "R059Sv5HlSsh"
      },
      "outputs": [],
      "source": [
        "working_tracks_df = pd.read_csv('/content/drive/MyDrive/2024_11_14_working_tracks_df.csv')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "original_tracks_list_df =  pd.read_csv('/content/drive/MyDrive/Most Streamed Spotify Songs 2024.csv',encoding='ISO-8859-1')"
      ],
      "metadata": {
        "id": "P50D-0MUlk2m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "working_tracks_df.rename(columns={'Unnamed: 0':'spotify_track_id'}, inplace=True)\n",
        "df_spotify = pd.merge(left=original_tracks_list_df,\n",
        "                      right=working_tracks_df,\n",
        "                      how='left',\n",
        "                      left_on=['Track','Artist'],\n",
        "                      right_on=['title','artist'],\n",
        "                      )"
      ],
      "metadata": {
        "id": "qm-AYA9llmbb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_spotify['ISRC'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        },
        "id": "5SeNcKMoluEA",
        "outputId": "2d907e67-5034-408a-ac2a-bfd1c61ff84e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ISRC\n",
              "USWL11700269    2\n",
              "TCAGJ2289254    2\n",
              "QM24S2402528    1\n",
              "USRN11900133    1\n",
              "USSD12300585    1\n",
              "               ..\n",
              "TCJPT2289709    1\n",
              "USWL12302932    1\n",
              "USUG11903492    1\n",
              "GBKPL2163189    1\n",
              "USB271700107    1\n",
              "Name: count, Length: 4598, dtype: int64"
            ],
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              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "    }\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>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ISRC</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>USWL11700269</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TCAGJ2289254</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>QM24S2402528</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USRN11900133</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USSD12300585</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>TCJPT2289709</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USWL12302932</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USUG11903492</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GBKPL2163189</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USB271700107</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4598 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uPgw0lw-oMra"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "import base64\n",
        "import time\n",
        "\n",
        "# Read client secret and ID from files\n",
        "with open('/content/drive/MyDrive/rs_client_secret.txt', 'r') as file:\n",
        "    client_secret = file.read().strip()\n",
        "\n",
        "with open('/content/drive/MyDrive/rs_client_id.txt', 'r') as file:\n",
        "    client_id = file.read().strip()\n",
        "\n",
        "# Encode authorization string\n",
        "auth_str = f\"{client_id}:{client_secret}\"\n",
        "b64_auth_str = base64.b64encode(auth_str.encode()).decode()\n",
        "\n",
        "# Get access token\n",
        "auth_headers = {\n",
        "    \"Authorization\": f\"Basic {b64_auth_str}\"\n",
        "}\n",
        "auth_data = {\n",
        "    \"grant_type\": \"client_credentials\"\n",
        "}\n",
        "auth_response = requests.post(\"https://accounts.spotify.com/api/token\", headers=auth_headers, data=auth_data)\n",
        "access_token = auth_response.json()['access_token']\n",
        "\n",
        "# Set headers for subsequent requests\n",
        "headers = {\n",
        "    'Authorization': f'Bearer {access_token}'\n",
        "}\n",
        "\n",
        "# Define a function to search Spotify by ISRC codes\n",
        "def search_tracks_by_isrc(isrc_list):\n",
        "    track_results_by_isrc = {}\n",
        "    n=0\n",
        "    for isrc in isrc_list:\n",
        "        n+=1\n",
        "        print(f\"Processing ISRC {isrc} ({n}/{len(isrc_list)})\")\n",
        "\n",
        "        url = f'https://api.spotify.com/v1/search?q=isrc:{isrc}&type=track'\n",
        "        response = requests.get(url, headers=headers)\n",
        "\n",
        "        if response.status_code == 200:\n",
        "            results = response.json().get('tracks', {}).get('items', [])\n",
        "            if results:\n",
        "                track_results_by_isrc[isrc] = results[0]  # Assume the first result is the most relevant\n",
        "                print(f\"Retrieved track for ISRC {isrc}\")\n",
        "            else:\n",
        "                print(f\"No track found for ISRC {isrc}\")\n",
        "        else:\n",
        "            print(f\"Error: {response.status_code} - {response.json()}\")\n",
        "\n",
        "        # Sleep to avoid hitting rate limits\n",
        "        time.sleep(1)\n",
        "\n",
        "    return track_results_by_isrc\n",
        "\n",
        "# Example usage\n",
        "missing_isrc_list=list(set(df_spotify[df_spotify['spotify_track_id'].isnull()]['ISRC']))\n",
        "tracks_by_isrc = search_tracks_by_isrc(missing_isrc_list)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2YPnY2B1lu7g",
        "outputId": "6b74515e-e890-4944-d2ff-a721177b28f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Processing ISRC USWL12301086 (1/383)\n",
            "Retrieved track for ISRC USWL12301086\n",
            "Processing ISRC USUM72201829 (2/383)\n",
            "Retrieved track for ISRC USUM72201829\n",
            "Processing ISRC USUYG1156898 (3/383)\n",
            "Retrieved track for ISRC USUYG1156898\n",
            "Processing ISRC USUM72402906 (4/383)\n",
            "Retrieved track for ISRC USUM72402906\n",
            "Processing ISRC USAT21102141 (5/383)\n",
            "Retrieved track for ISRC USAT21102141\n",
            "Processing ISRC USWB12301125 (6/383)\n",
            "Retrieved track for ISRC USWB12301125\n",
            "Processing ISRC THSOH2301617 (7/383)\n",
            "Retrieved track for ISRC THSOH2301617\n",
            "Processing ISRC ARIXB2303741 (8/383)\n",
            "No track found for ISRC ARIXB2303741\n",
            "Processing ISRC DEE861701287 (9/383)\n",
            "No track found for ISRC DEE861701287\n",
            "Processing ISRC BRWMB2400226 (10/383)\n",
            "Retrieved track for ISRC BRWMB2400226\n",
            "Processing ISRC QZ5AB2358733 (11/383)\n",
            "Retrieved track for ISRC QZ5AB2358733\n",
            "Processing ISRC USSD12300400 (12/383)\n",
            "Retrieved track for ISRC USSD12300400\n",
            "Processing ISRC SGB502208098 (13/383)\n",
            "No track found for ISRC SGB502208098\n",
            "Processing ISRC CYA112001070 (14/383)\n",
            "Retrieved track for ISRC CYA112001070\n",
            "Processing ISRC USUG12401037 (15/383)\n",
            "Retrieved track for ISRC USUG12401037\n",
            "Processing ISRC USUG12100342 (16/383)\n",
            "Retrieved track for ISRC USUG12100342\n",
            "Processing ISRC INS182303500 (17/383)\n",
            "Retrieved track for ISRC INS182303500\n",
            "Processing ISRC DGA0Q2317094 (18/383)\n",
            "Retrieved track for ISRC DGA0Q2317094\n",
            "Processing ISRC QMCE32000145 (19/383)\n",
            "Retrieved track for ISRC QMCE32000145\n",
            "Processing ISRC RUAGV2401381 (20/383)\n",
            "Retrieved track for ISRC RUAGV2401381\n",
            "Processing ISRC US23A8387456 (21/383)\n",
            "No track found for ISRC US23A8387456\n",
            "Processing ISRC QZDA82340022 (22/383)\n",
            "No track found for ISRC QZDA82340022\n",
            "Processing ISRC GBAHS1800025 (23/383)\n",
            "Retrieved track for ISRC GBAHS1800025\n",
            "Processing ISRC USUM72018810 (24/383)\n",
            "Retrieved track for ISRC USUM72018810\n",
            "Processing ISRC BRWMB2400220 (25/383)\n",
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            "Processing ISRC DEN062300845 (26/383)\n",
            "Retrieved track for ISRC DEN062300845\n",
            "Processing ISRC USAT22305457 (27/383)\n",
            "Retrieved track for ISRC USAT22305457\n",
            "Processing ISRC USCJY1431379 (28/383)\n",
            "Retrieved track for ISRC USCJY1431379\n",
            "Processing ISRC QM6MZ2214892 (29/383)\n",
            "Retrieved track for ISRC QM6MZ2214892\n",
            "Processing ISRC QM4TX2108898 (30/383)\n",
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            "Processing ISRC QZAKB2164097 (31/383)\n",
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            "Processing ISRC USRC11600876 (32/383)\n",
            "Retrieved track for ISRC USRC11600876\n",
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            "Processing ISRC TRBUL2300064 (36/383)\n",
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            "Processing ISRC TH2DY2100061 (37/383)\n",
            "Retrieved track for ISRC TH2DY2100061\n",
            "Processing ISRC QZK6L2307991 (38/383)\n",
            "No track found for ISRC QZK6L2307991\n",
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            "Retrieved track for ISRC QZ85M1951467\n",
            "Processing ISRC USANG2216030 (40/383)\n",
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            "Processing ISRC QZMHN2025919 (41/383)\n",
            "No track found for ISRC QZMHN2025919\n",
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            "No track found for ISRC TCADP1859309\n",
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            "Retrieved track for ISRC USSD11600135\n",
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            "No track found for ISRC QZLL92480334\n",
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            "Retrieved track for ISRC QZLQR2199831\n",
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            "Retrieved track for ISRC JPPO02002791\n",
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            "No track found for ISRC QZYFZ2414978\n",
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            "Retrieved track for ISRC QZHN21900087\n",
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            "No track found for ISRC SGB502262965\n",
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            "Retrieved track for ISRC USE7D2300024\n",
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            "No track found for ISRC QMFMF2394976\n",
            "Processing ISRC ES5152101308 (184/383)\n",
            "Retrieved track for ISRC ES5152101308\n",
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            "No track found for ISRC USHM21860309\n",
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            "No track found for ISRC DGA0M2361023\n",
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            "No track found for ISRC TCADL1878978\n",
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            "Processing ISRC BC91N2200001 (305/383)\n",
            "Retrieved track for ISRC BC91N2200001\n",
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            "Processing ISRC THMOB2412776 (327/383)\n",
            "Retrieved track for ISRC THMOB2412776\n",
            "Processing ISRC USSM11705088 (328/383)\n",
            "Retrieved track for ISRC USSM11705088\n",
            "Processing ISRC USRC11901581 (329/383)\n",
            "Retrieved track for ISRC USRC11901581\n",
            "Processing ISRC DGA0R2315475 (330/383)\n",
            "Retrieved track for ISRC DGA0R2315475\n",
            "Processing ISRC ITZV22200088 (331/383)\n",
            "Retrieved track for ISRC ITZV22200088\n",
            "Processing ISRC QZSYP2342088 (332/383)\n",
            "Retrieved track for ISRC QZSYP2342088\n",
            "Processing ISRC PYC842302802 (333/383)\n",
            "Retrieved track for ISRC PYC842302802\n",
            "Processing ISRC USAT22221820 (334/383)\n",
            "Retrieved track for ISRC USAT22221820\n",
            "Processing ISRC QM4TW2159341 (335/383)\n",
            "Retrieved track for ISRC QM4TW2159341\n",
            "Processing ISRC USAT22200712 (336/383)\n",
            "Retrieved track for ISRC USAT22200712\n",
            "Processing ISRC NLHR52116995 (337/383)\n",
            "No track found for ISRC NLHR52116995\n",
            "Processing ISRC FR96X2303731 (338/383)\n",
            "Retrieved track for ISRC FR96X2303731\n",
            "Processing ISRC DGA092216622 (339/383)\n",
            "Retrieved track for ISRC DGA092216622\n",
            "Processing ISRC RUAGV2401222 (340/383)\n",
            "Retrieved track for ISRC RUAGV2401222\n",
            "Processing ISRC USUG12305253 (341/383)\n",
            "Retrieved track for ISRC USUG12305253\n",
            "Processing ISRC DEA622201528 (342/383)\n",
            "Retrieved track for ISRC DEA622201528\n",
            "Processing ISRC QMEU32211578 (343/383)\n",
            "Retrieved track for ISRC QMEU32211578\n",
            "Processing ISRC USRV82300033 (344/383)\n",
            "No track found for ISRC USRV82300033\n",
            "Processing ISRC BCZT72400033 (345/383)\n",
            "Retrieved track for ISRC BCZT72400033\n",
            "Processing ISRC USA2P2243895 (346/383)\n",
            "Retrieved track for ISRC USA2P2243895\n",
            "Processing ISRC TRAUR2200002 (347/383)\n",
            "Retrieved track for ISRC TRAUR2200002\n",
            "Processing ISRC USUM72217061 (348/383)\n",
            "Retrieved track for ISRC USUM72217061\n",
            "Processing ISRC FRX872398704 (349/383)\n",
            "Retrieved track for ISRC FRX872398704\n",
            "Processing ISRC JPU902302107 (350/383)\n",
            "Retrieved track for ISRC JPU902302107\n",
            "Processing ISRC USRC11701783 (351/383)\n",
            "No track found for ISRC USRC11701783\n",
            "Processing ISRC QMRSZ2300371 (352/383)\n",
            "No track found for ISRC QMRSZ2300371\n",
            "Processing ISRC US7VG1878876 (353/383)\n",
            "No track found for ISRC US7VG1878876\n",
            "Processing ISRC DEXC82300032 (354/383)\n",
            "Retrieved track for ISRC DEXC82300032\n",
            "Processing ISRC QM4TX2030842 (355/383)\n",
            "Retrieved track for ISRC QM4TX2030842\n",
            "Processing ISRC FRX762391695 (356/383)\n",
            "Retrieved track for ISRC FRX762391695\n",
            "Processing ISRC BXG6R2300280 (357/383)\n",
            "Retrieved track for ISRC BXG6R2300280\n",
            "Processing ISRC FR26V2072992 (358/383)\n",
            "Retrieved track for ISRC FR26V2072992\n",
            "Processing ISRC USUM72206481 (359/383)\n",
            "Retrieved track for ISRC USUM72206481\n",
            "Processing ISRC QZDQH2148787 (360/383)\n",
            "Retrieved track for ISRC QZDQH2148787\n",
            "Processing ISRC USWB12200423 (361/383)\n",
            "Retrieved track for ISRC USWB12200423\n",
            "Processing ISRC BX3022300019 (362/383)\n",
            "Retrieved track for ISRC BX3022300019\n",
            "Processing ISRC FRX282306294 (363/383)\n",
            "Retrieved track for ISRC FRX282306294\n",
            "Processing ISRC BKA7Y2400034 (364/383)\n",
            "Retrieved track for ISRC BKA7Y2400034\n",
            "Processing ISRC USUG12301604 (365/383)\n",
            "No track found for ISRC USUG12301604\n",
            "Processing ISRC USSM12402040 (366/383)\n",
            "Retrieved track for ISRC USSM12402040\n",
            "Processing ISRC BXIV82279381 (367/383)\n",
            "No track found for ISRC BXIV82279381\n",
            "Processing ISRC GBKPL2205333 (368/383)\n",
            "Retrieved track for ISRC GBKPL2205333\n",
            "Processing ISRC USSM11901941 (369/383)\n",
            "Retrieved track for ISRC USSM11901941\n",
            "Processing ISRC RUAGV2400963 (370/383)\n",
            "Retrieved track for ISRC RUAGV2400963\n",
            "Processing ISRC JPP301900716 (371/383)\n",
            "Retrieved track for ISRC JPP301900716\n",
            "Processing ISRC USUM71911618 (372/383)\n",
            "Retrieved track for ISRC USUM71911618\n",
            "Processing ISRC QM4TW2137909 (373/383)\n",
            "Retrieved track for ISRC QM4TW2137909\n",
            "Processing ISRC NLZ541800787 (374/383)\n",
            "Retrieved track for ISRC NLZ541800787\n",
            "Processing ISRC USUM72305202 (375/383)\n",
            "Retrieved track for ISRC USUM72305202\n",
            "Processing ISRC HKK972235335 (376/383)\n",
            "No track found for ISRC HKK972235335\n",
            "Processing ISRC MX2832415361 (377/383)\n",
            "No track found for ISRC MX2832415361\n",
            "Processing ISRC BXIV82456543 (378/383)\n",
            "Retrieved track for ISRC BXIV82456543\n",
            "Processing ISRC QM6MZ2214878 (379/383)\n",
            "Retrieved track for ISRC QM6MZ2214878\n",
            "Processing ISRC USSD12100733 (380/383)\n",
            "Retrieved track for ISRC USSD12100733\n",
            "Processing ISRC FRX201706358 (381/383)\n",
            "Retrieved track for ISRC FRX201706358\n",
            "Processing ISRC QZN882353309 (382/383)\n",
            "Retrieved track for ISRC QZN882353309\n",
            "Processing ISRC JPP302300523 (383/383)\n",
            "Retrieved track for ISRC JPP302300523\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "d7fGuwFG1TqP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with open('/content/drive/MyDrive/tracks_by_isrc.txt', 'w') as file:\n",
        "    file.write(str(tracks_by_isrc))"
      ],
      "metadata": {
        "id": "-oHwQT2doq6L"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_track_ids = [(k,v['id']) for k,v in tracks_by_isrc.items()]"
      ],
      "metadata": {
        "id": "h9L_HTNZmlE8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_tracks_df = pd.DataFrame(new_track_ids,columns=['ISRC','spotify_track_id'])\n",
        "new_tracks_df.to_csv('/content/drive/MyDrive/new_track_ids.csv',index=False)"
      ],
      "metadata": {
        "id": "2eW262XrmolU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "headers = {\n",
        "    'Authorization': f'Bearer {access_token}'\n",
        "}\n",
        "\n",
        "data = {\n",
        "    \"grant_type\": \"client_credentials\"\n",
        "}\n",
        "remaining_ids = new_tracks_df['spotify_track_id']\n",
        "audio_features_by_track={}\n",
        "# Chunk the list of IDs into batches of 50\n",
        "chunk_size = 50\n",
        "remaining_ids_chunks = [remaining_ids[i:i + chunk_size] for i in range(0, len(remaining_ids), chunk_size)]\n",
        "\n",
        "for chunk in remaining_ids_chunks:\n",
        "    # Join the chunk of IDs into a comma-separated string\n",
        "    ids = ','.join(chunk)\n",
        "\n",
        "    # Make the request to the Audio Features endpoint with the batch of IDs\n",
        "    url = f'https://api.spotify.com/v1/audio-features?ids={ids}'\n",
        "    response = requests.get(url, headers=headers)\n",
        "\n",
        "    # Parse the JSON response\n",
        "    if response.status_code == 200:\n",
        "        audio_features_list = response.json().get('audio_features', [])\n",
        "        for audio_features in audio_features_list:\n",
        "            if audio_features:  # Some entries might be None if the ID is invalid\n",
        "                track_id = audio_features['id']\n",
        "                audio_features_by_track[track_id] = audio_features\n",
        "                print(f\"Retrieved audio features for Track ID {track_id}\")\n",
        "    else:\n",
        "        print(f\"Error: {response.status_code} - {response.json()}\")\n",
        "\n",
        "    # Sleep to avoid hitting rate limits\n",
        "    time.sleep(1)  # Adjust as needed"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qr54hlelrEjO",
        "outputId": "b6fc9212-062b-4961-ff0b-cf923c90857b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Retrieved audio features for Track ID 3oNnzH6hmqIGIhJ1NcHlrh\n",
            "Retrieved audio features for Track ID 6DoL1yYIwEW7VZMRaJhoJI\n",
            "Retrieved audio features for Track ID 7AQim7LbvFVZJE3O8TYgf2\n",
            "Retrieved audio features for Track ID 72t57kCoFddPNDRMKTIuNL\n",
            "Retrieved audio features for Track ID 6lanRgr6wXibZr8KgzXxBl\n",
            "Retrieved audio features for Track ID 3vcLw8QA3yCOkrj9oLSZNs\n",
            "Retrieved audio features for Track ID 2Cat5w7hj4K9I8Y00jkQ0U\n",
            "Retrieved audio features for Track ID 6xW61JP2f3hcsbOwn7dzi5\n",
            "Retrieved audio features for Track ID 2Ul4zL7sooJUmWrA8n6vlE\n",
            "Retrieved audio features for Track ID 4bw8mcDUSRWfQo63ZTYRnU\n",
            "Retrieved audio features for Track ID 3j11iDncb7ZeDMw7lFucqM\n",
            "Retrieved audio features for Track ID 36t6frENUtCYKuZus6aYDO\n",
            "Retrieved audio features for Track ID 3CeCwYWvdfXbZLXFhBrbnf\n",
            "Retrieved audio features for Track ID 35FFqjqaPv1Fr9B1GtJdZO\n",
            "Retrieved audio features for Track ID 3Gpffv3gaD1UxQPeElIjCp\n",
            "Retrieved audio features for Track ID 5v4GgrXPMghOnBBLmveLac\n",
            "Retrieved audio features for Track ID 4E7o63UYMF3e8RWOmt0peR\n",
            "Retrieved audio features for Track ID 08bNPGLD8AhKpnnERrAc6G\n",
            "Retrieved audio features for Track ID 1HbA4N1MiOsPthALesGFR1\n",
            "Retrieved audio features for Track ID 7pnqm6UEb7SzpDxb53wULT\n",
            "Retrieved audio features for Track ID 38XziJOR1OFb4fJ44IUrX1\n",
            "Retrieved audio features for Track ID 1vYXt7VSjH9JIM5oRRo7vA\n",
            "Retrieved audio features for Track ID 59HjlYCeBsxdI0fcm3zglw\n",
            "Retrieved audio features for Track ID 6VrQTLzzuyGIYjUDe4kAZk\n",
            "Retrieved audio features for Track ID 7I8L3vYCLThw2FDrE6LuzE\n",
            "Retrieved audio features for Track ID 5Ju8uIo67PEzN8z2T8HzPH\n",
            "Retrieved audio features for Track ID 1WkMMavIMc4JZ8cfMmxHkI\n",
            "Retrieved audio features for Track ID 71DSaeKtXQaMAqnvMT7Uoc\n",
            "Retrieved audio features for Track ID 1mh5rbvvZjkBHCA8ABXZMY\n",
            "Retrieved audio features for Track ID 7t2bFihaDvhIrd2gn2CWJO\n",
            "Retrieved audio features for Track ID 1wIdx6xw7B01SnnJoamriL\n",
            "Retrieved audio features for Track ID 4tM3ygBuSy0QzB0ihYZQcf\n",
            "Retrieved audio features for Track ID 5OFlp1fOrfiSXOjw4wuSgy\n",
            "Retrieved audio features for Track ID 4ygQ5wSuzzNRevVjup1qV2\n",
            "Retrieved audio features for Track ID 35wvL50xvKpCHEJPxLOLPI\n",
            "Retrieved audio features for Track ID 1WH3iquIQXnSPwUzlROT8R\n",
            "Retrieved audio features for Track ID 57InPX86dWSiQexyA7xx5i\n",
            "Retrieved audio features for Track ID 2dPwBKr5uJeCeyd5IoWi8W\n",
            "Retrieved audio features for Track ID 2Jkd9fXio63N7nnUboiFg1\n",
            "Retrieved audio features for Track ID 0OTNHGKcqQbk51bOYe462Y\n",
            "Retrieved audio features for Track ID 01kfSdF9zfcDLri5sSWEoL\n",
            "Retrieved audio features for Track ID 3yBrow9qwGpA2hM1nkR9il\n",
            "Retrieved audio features for Track ID 1SlPNQ3vAF56AiHr6Ul6jM\n",
            "Retrieved audio features for Track ID 4wZqjBJCs2tD7AV3c2UUh5\n",
            "Retrieved audio features for Track ID 5CCr8msaN3MhgqBoa9yWhH\n",
            "Retrieved audio features for Track ID 3xIzkKqp7oe37NEVrcPjGS\n",
            "Retrieved audio features for Track ID 1j6xOGusnyXq3l6IryKF3G\n",
            "Retrieved audio features for Track ID 5bLGQqcpsz5ISWeihZfJnR\n",
            "Retrieved audio features for Track ID 0YThXX1dqUpYBLyJNAsF9N\n",
            "Retrieved audio features for Track ID 1atD9QMSoZjgKiUKKopZBW\n",
            "Retrieved audio features for Track ID 2qmG7dokbGpDGD0T5wORWt\n",
            "Retrieved audio features for Track ID 7k3qWn8D43a5ISa3x8lJux\n",
            "Retrieved audio features for Track ID 4Pwjz3DfvfQWV0rO2V8jyh\n",
            "Retrieved audio features for Track ID 4ZLzoOkj0MPWrTLvooIuaa\n",
            "Retrieved audio features for Track ID 2gQK13gXYZRq2MgvPJyHx8\n",
            "Retrieved audio features for Track ID 0mlAOSILGRys2IbvyOT5VJ\n",
            "Retrieved audio features for Track ID 1t7tpaouqaGk2xDeqdtPcX\n",
            "Retrieved audio features for Track ID 5njKLP0ujGtHcNeXfpZbyH\n",
            "Retrieved audio features for Track ID 798ahLNEcoFER7Vywg1FMT\n",
            "Retrieved audio features for Track ID 5nujrmhLynf4yMoMtj8AQF\n",
            "Retrieved audio features for Track ID 7E9kejvFw8NDfuu4y3hqkp\n",
            "Retrieved audio features for Track ID 4svaKoxMMP7ImmKrD5hfQu\n",
            "Retrieved audio features for Track ID 3gD4J3RUHy4OUuZ3qAiaiG\n",
            "Retrieved audio features for Track ID 4dmruTsdHIOjfOIeaFitXK\n",
            "Retrieved audio features for Track ID 0zzdqpFFv3JsgnV1YQQDe5\n",
            "Retrieved audio features for Track ID 1kyYCsP2NRZEKkBg9wcF2c\n",
            "Retrieved audio features for Track ID 62PaSfnXSMyLshYJrlTuL3\n",
            "Retrieved audio features for Track ID 2BEcap3xJtmiPaHKyfQi4e\n",
            "Retrieved audio features for Track ID 6Knv6wdA0luoMUuuoYi2i1\n",
            "Retrieved audio features for Track ID 5djlc1fMHiFsSpsQQtopLy\n",
            "Retrieved audio features for Track ID 0poQY3RMThmIiutOGv3yH3\n",
            "Retrieved audio features for Track ID 2YVlDlk2zRceefo6XlC6DX\n",
            "Retrieved audio features for Track ID 5RJQ07NrRo7df0jO8lrrzn\n",
            "Retrieved audio features for Track ID 47DMM1KiRfrqHw3YS7a9Dq\n",
            "Retrieved audio features for Track ID 1gZXkChBq4k1kDxJW32kAg\n",
            "Retrieved audio features for Track ID 30LZU3ReFIndjHLfaahreM\n",
            "Retrieved audio features for Track ID 0hEjvk5rMwLzt9rUcFmZG7\n",
            "Retrieved audio features for Track ID 43PiEypaceH339CSNiggyj\n",
            "Retrieved audio features for Track ID 2CeKVsFFXG4QzA415QygGb\n",
            "Retrieved audio features for Track ID 6IV5Y1eWaQZ1jV5apkUMS4\n",
            "Retrieved audio features for Track ID 5S8zFPQ3KIlF2y9Kt8mRhg\n",
            "Retrieved audio features for Track ID 7kGDAuP9P8mT2epyDwbdDj\n",
            "Retrieved audio features for Track ID 24llggQslFoCamLMIg3Jka\n",
            "Retrieved audio features for Track ID 5eY7692tmgHB9dbmq6wa2M\n",
            "Retrieved audio features for Track ID 6VObnIkLVruX4UVyxWhlqm\n",
            "Retrieved audio features for Track ID 3auN910HHNYykQo8i9q5J1\n",
            "Retrieved audio features for Track ID 0peRfvtx1Je91FxQtii5DJ\n",
            "Retrieved audio features for Track ID 2pGwkGbyIRCpBr3L5tq4VL\n",
            "Retrieved audio features for Track ID 655JkvIwu2rDCaD1hPf04g\n",
            "Retrieved audio features for Track ID 5rbKNd54ig1qtSUeK83OOo\n",
            "Retrieved audio features for Track ID 7ygIAeOqwEjPFlw4VOWkkL\n",
            "Retrieved audio features for Track ID 22VHOlVYBqytsrAqV8yXBK\n",
            "Retrieved audio features for Track ID 4PdLaGZubp4lghChqp8erB\n",
            "Retrieved audio features for Track ID 2xBibqkmXJ4NQCe8lJeZco\n",
            "Retrieved audio features for Track ID 4bycD60yZgR6anIBtmU8UH\n",
            "Retrieved audio features for Track ID 6tCMGV1PHl16Y6KZp6oeZL\n",
            "Retrieved audio features for Track ID 1dm6z1fWB0cErMszU25dy2\n",
            "Retrieved audio features for Track ID 7cQ0LAxT5HHCLGbxcjaxac\n",
            "Retrieved audio features for Track ID 5zSOVwaY3sVjnmLhuEfsuf\n",
            "Retrieved audio features for Track ID 3Hb9kUdm4yf839Fle4RIdT\n",
            "Retrieved audio features for Track ID 2tFwfmceQa1Y6nRPhYbEtC\n",
            "Retrieved audio features for Track ID 01D9gZCXYrAKVIYSgzOGrs\n",
            "Retrieved audio features for Track ID 3h5TiWTqGxjSjFrbruPFH9\n",
            "Retrieved audio features for Track ID 2prnn41CblB8B4yWACDljP\n",
            "Retrieved audio features for Track ID 7slBlaUuSCgADZBuTQDYBB\n",
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            "Retrieved audio features for Track ID 5wzPDiNVgJ5Rvhjne9Uj3F\n",
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            "Retrieved audio features for Track ID 3AEZUABDXNtecAOSC1qTfo\n",
            "Retrieved audio features for Track ID 7BidlRW3LBfq4QeA8tPRRw\n",
            "Retrieved audio features for Track ID 5Y9fnynLlIvqtM710MHzfz\n",
            "Retrieved audio features for Track ID 0vbtURX4qv1l7besfwmnD8\n",
            "Retrieved audio features for Track ID 0Sfn2TYbpQtCGMBf6C0Y6T\n",
            "Retrieved audio features for Track ID 6yVjjQA31SLM1kc4j5jPwF\n",
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            "Retrieved audio features for Track ID 01aTsQoKoeXofSTvKuunzv\n",
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            "Retrieved audio features for Track ID 5kAh0HvtfNR2aNkCH1BkzH\n",
            "Retrieved audio features for Track ID 5pMPNxZz50iup8cXchRHxm\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "afdf=pd.DataFrame(audio_features_by_track).T\n",
        "\n",
        "afdf.to_csv('/content/drive/MyDrive/audio_features_by_track_missing_ids.csv')"
      ],
      "metadata": {
        "id": "O_z_GbNNsMaX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Better to start from scratch entirely with the new list of track_ids"
      ],
      "metadata": {
        "id": "_nDQS6OOsN6L"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "working_tracks_df = pd.read_csv('/content/drive/MyDrive/2024_11_14_working_tracks_df.csv')"
      ],
      "metadata": {
        "id": "B1d3r_PWuNQk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "additional_tracks_df = pd.read_csv('/content/drive/MyDrive/new_track_ids.csv')"
      ],
      "metadata": {
        "id": "ySJIX4S-vdH5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "original_tracks_list_df =  pd.read_csv('/content/drive/MyDrive/Most Streamed Spotify Songs 2024.csv',encoding='ISO-8859-1')"
      ],
      "metadata": {
        "id": "7t7861I5wYhr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "all_track_ids = list(set(additional_tracks_df['spotify_track_id'].tolist() + working_tracks_df['Unnamed: 0'].tolist()))\n",
        "len(all_track_ids),original_tracks_list_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9cU3nnDSvxXZ",
        "outputId": "b529ec3a-1423-4fa6-8f06-c98c457cd877"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4415, (4600, 29))"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "headers = {\n",
        "    'Authorization': f'Bearer {access_token}'\n",
        "}\n",
        "\n",
        "data = {\n",
        "    \"grant_type\": \"client_credentials\"\n",
        "}\n",
        "remaining_ids = all_track_ids\n",
        "audio_features_by_track={}\n",
        "# Chunk the list of IDs into batches of 50\n",
        "chunk_size = 50\n",
        "remaining_ids_chunks = [remaining_ids[i:i + chunk_size] for i in range(0, len(remaining_ids), chunk_size)]\n",
        "\n",
        "for chunk in remaining_ids_chunks:\n",
        "    # Join the chunk of IDs into a comma-separated string\n",
        "    ids = ','.join(chunk)\n",
        "\n",
        "    # Make the request to the Audio Features endpoint with the batch of IDs\n",
        "    url = f'https://api.spotify.com/v1/audio-features?ids={ids}'\n",
        "    response = requests.get(url, headers=headers)\n",
        "\n",
        "    # Parse the JSON response\n",
        "    if response.status_code == 200:\n",
        "        audio_features_list = response.json().get('audio_features', [])\n",
        "        for audio_features in audio_features_list:\n",
        "            if audio_features:  # Some entries might be None if the ID is invalid\n",
        "                track_id = audio_features['id']\n",
        "                audio_features_by_track[track_id] = audio_features\n",
        "                print(f\"Retrieved audio features for Track ID {track_id}\")\n",
        "    else:\n",
        "        print(f\"Error: {response.status_code} - {response.json()}\")\n",
        "\n",
        "    # Sleep to avoid hitting rate limits\n",
        "    time.sleep(1)  # Adjust as needed"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aRMVh-eWuV2I",
        "outputId": "38225199-74c2-470d-bbc9-0c817bdce7e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Retrieved audio features for Track ID 1fidCEsYlaVE3pHwKCvpFZ\n",
            "Retrieved audio features for Track ID 61JrU3c22ur5C2TREkHkm3\n",
            "Retrieved audio features for Track ID 1SC5rEoYDGUK4NfG82494W\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('/content/drive/MyDrive/audio_features_by_track_all_ids.txt', 'w') as file:\n",
        "    file.write(str(audio_features_by_track))"
      ],
      "metadata": {
        "id": "JWgkXaf7uWgo"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "audio_features_df = pd.DataFrame(audio_features_by_track).T"
      ],
      "metadata": {
        "id": "A2Ikm7nVydHq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "audio_features_df.to_csv('/content/drive/MyDrive/audio_features_df_2024_11_26.csv')"
      ],
      "metadata": {
        "id": "FMDsmVUvxC5o"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "KWWIycdZytiE"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}