diff --git a/.gitignore b/.gitignore
index eca42b1..525e540 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,7 @@
 # Data directory
 data/
+build/
+*.egg-info/
 
 # Miscellaneous files
 **/.DS_Store
diff --git a/README.md b/README.md
index b0e3f25..75e5e26 100644
--- a/README.md
+++ b/README.md
@@ -59,40 +59,38 @@ The `data` folder contains all the downloaded data as shown in the tree diagram
 
 ## How to use
 ### Post downloading
-Running the `tiktok-hashtag-analysis` command with the following options will scrape posts containing the hashtags `#london`, `#paris`, or `#newyork`:
+Running the `tiktok-hashtag-analysis` command with the following options will scrape posts that contain the hashtags `#london`, `#paris`, or `#newyork`:
 
     tiktok-hashtag-analysis london paris newyork
 
 and will produce an output similar to the following log:
 
-    $ tiktok-hashtag-analysis download -t london paris newyork -p
+    $ tiktok-hashtag-analysis download london paris newyork
     Hashtags to scrape: ['london', 'paris', 'newyork']
     Scraped 963 posts containing the hashtag 'london'
     Scraped 961 posts containing the hashtag 'paris'
     Scraped 940 posts containing the hashtag 'newyork'
     Successfully scraped 2864 total entries
 
-- The `-t` flag allows a space-separated list of hashtags to be specified as a command line argument
-- The `-p` flag specifies that posts, not videos, will be downloaded
+- The list of hashtags to scrape is specified as a positional argument
 
 ### Video downloading
-Running the `tiktok-hashtag-analysis download` script with the following options will scrape trending videos containing the hashtag `#london`:
-`tiktok-hashtag-analysis download -t london -v`
+Running the `tiktok-hashtag-analysis` script with the following options will scrape trending videos containing the hashtag `#london`:
+`tiktok-hashtag-analysis download london --download`
 
-- The `-t` flag allows a space-separated list of hashtags to be specified as a command line argument
-- The `-v` flag specifies that videos, not posts, will be downloaded
+- The `--download` flag specifies that video files for scraped posts should be downloaded
 
-Note that video downloading is a time and data rate consuming task, as a result we recommend using one hashtag at a time when using the `-v` flag to avoid complications.
+Note that video downloading is a time and data rate consuming task, as a result we recommend using one hashtag at a time when using the `--download` flag to avoid complications.
 
 ## Analyzing results 
-### Top n hashtag occurrences 
-The script `tiktok-hashtag-analysis frequencies` analyzes the frequencies of top occurring hashtags in a given set of posts.
+### Most common co-occurring hashtags
+In addition to scraping data and downloading videos, the `tiktok-hashtag-analysis` script can also analyze the frequencies of the most common co-occurring hashtags in a given set of posts.
 
-Assume we want to analyze the 20 most frequently occurring hashtags in the downloaded posts of the `#london` hashtag.
+Assume we want to analyze the 20 most frequently co-occurring hashtags in the downloaded posts of the `#london` hashtag.
 
 - The results can be plotted and saved as a PNG file by executing the following command: 
 
-    `tiktok-hashtag-analysis frequencies --hashtag london --number 20 --plot`
+    `tiktok-hashtag-analysis london --number 20 --plot`
     
     which will produce a figure similar to that shown below:
     <p align="center">
@@ -103,32 +101,33 @@ Assume we want to analyze the 20 most frequently occurring hashtags in the downl
 
 - The results can be displayed in tabular form by executing the following command:
 
-    `tiktok-hashtag-analysis frequencies --hashtag london --number 20 --print`
+    `tiktok-hashtag-analysis london --number 20 --table`
 
     which will produce a terminal output similar to the following:
     ```
-    Rank     Hashtag                        Occurrences     Frequency
-    0        london                         960             1.0000
-    1        fyp                            494             0.5146
-    2        uk                             238             0.2479
-    3        foryou                         221             0.2302
-    4        foryoupage                     184             0.1917
-    5        viral                          179             0.1865
-    6        fypシ                           84              0.0875
-    7        funny                          56              0.0583
-    8        xyzbca                         51              0.0531
-    9        british                        45              0.0469
-    10       england                        44              0.0458
-    11       trending                       40              0.0417
-    12       fy                             33              0.0344
-    13       comedy                         32              0.0333
-    14       roadman                        28              0.0292
-    15       4u                             27              0.0281
-    16       usa                            26              0.0271
-    17       tiktok                         26              0.0271
-    18       travel                         21              0.0219
-    19       america                        20              0.0208
-    Total posts: 960
+    Co-occurring hashtags for #london posts
+    Rank     Hashtag                        Occurrences     Frequency      
+    0        london                         881             1.0000
+    1        fyp                            399             0.4529
+    2        uk                             174             0.1975
+    3        foryou                         168             0.1907
+    4        viral                          152             0.1725
+    5        foryoupage                     137             0.1555
+    6        fypシ                           73              0.0829
+    7        funny                          54              0.0613
+    8        tiktok                         43              0.0488
+    9        trending                       43              0.0488
+    10       british                        41              0.0465
+    11       england                        38              0.0431
+    12       xyzbca                         34              0.0386
+    13       fy                             33              0.0375
+    14       usa                            33              0.0375
+    15       love                           29              0.0329
+    16       comedy                         25              0.0284
+    17       royalfamily                    23              0.0261
+    18       queen                          23              0.0261
+    19       queenelizabeth                 22              0.0250
+    Total posts: 881
     ```
 
     The `Frequency` column shows the ratio of the occurrence to the total number of downloaded posts.
diff --git a/tiktok_hashtag_analysis/__main__.py b/tiktok_hashtag_analysis/__main__.py
index 8e7dce2..8a9e5ee 100644
--- a/tiktok_hashtag_analysis/__main__.py
+++ b/tiktok_hashtag_analysis/__main__.py
@@ -1,7 +1,6 @@
 import logging
 import argparse
 from pathlib import Path
-import sys
 
 from .base import TikTokDownloader, load_hashtags_from_file
 
diff --git a/tiktok_hashtag_analysis/auth.py b/tiktok_hashtag_analysis/auth.py
new file mode 100644
index 0000000..17b8f3c
--- /dev/null
+++ b/tiktok_hashtag_analysis/auth.py
@@ -0,0 +1,67 @@
+import os
+import configparser
+from pathlib import Path
+import logging
+
+
+class Authorization:
+    """Handle authorization for TikTok, using the `msToken`."""
+
+    def __init__(self):
+        self.config_file = Path.home() / ".tiktok"
+        self.section = "TikTok"
+        self.ms_token = None
+
+    def get_token(self):
+        """Load the "msToken" cookie taken from TikTok, which the scraper requires."""
+
+        # Step 1: check if MS_TOKEN is defined as environment variable
+        if ms_token := os.environ.get("MS_TOKEN"):
+            self.ms_token = ms_token
+            logging.info("Loaded token from environment variable")
+
+        # Step 2: check if MS_TOKEN is defined in config file
+        elif self.config_file.is_file():
+            if ms_token := self.load_token():
+                self.ms_token = ms_token
+                logging.info(f"Loaded token from config file: {self.config_file}")
+
+        # Step 3: have user enter MS_TOKEN via terminal
+        else:
+            ms_token = self.input_token()
+            self.dump_token(ms_token=ms_token)
+            self.ms_token = ms_token
+            logging.info(
+                f"Loaded token from user input and saved to config file: {self.config_file}"
+            )
+
+        return self.ms_token
+
+    def load_token(self):
+        """Parse a config file and extract the token."""
+
+        config = configparser.ConfigParser()
+        config.read(self.config_file)
+        return config.get(section=self.section, option="MS_TOKEN", fallback=None)
+
+    def dump_token(self, ms_token):
+        """Write the token to a config file."""
+
+        config = configparser.ConfigParser()
+        config.read(self.config_file)
+        config.add_section(self.section)
+        config.set(section=self.section, option="MS_TOKEN", value=ms_token)
+
+        with open(self.config_file, "w") as f:
+            config.write(f)
+
+    def input_token(self):
+        """Allow user to manually enter the token in the terminal."""
+
+        print(
+            "\nPlease copy and paste your `msToken` cookie taken from your web browser when visiting the TikTok website. See [THIS VIDEO] for more information.\n"
+        )
+
+        ms_token = input("msToken: ")
+
+        return ms_token
diff --git a/tiktok_hashtag_analysis/base.py b/tiktok_hashtag_analysis/base.py
index 63224ef..74df81b 100644
--- a/tiktok_hashtag_analysis/base.py
+++ b/tiktok_hashtag_analysis/base.py
@@ -167,7 +167,7 @@ class TikTokDownloader:
                 f"No new videos to be downloaded for the hashtag: {hashtag}"
             )
 
-        # Populate list of URLs to download using yt-dlp, and list of image 
+        # Populate list of URLs to download using yt-dlp, and list of image
         # galleries to download using the `download_gallery` function
         urls_to_download = []
         galleries_to_download = []
@@ -233,7 +233,7 @@ class TikTokDownloader:
         ax.set_ylim(min(y_pos) - 1, max(y_pos) + 1)
         ax.set_title(f"Co-occurring hashtags for #{hashtag} posts")
         ax.xaxis.set_major_formatter(mtick.PercentFormatter(decimals=0))
-        
+
         # Write image of plot to file
         current_time = datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
         plot_file = self.data_dir / hashtag / "plots" / f"{hashtag}__{current_time}.png"
@@ -244,7 +244,7 @@ class TikTokDownloader:
     def run(self, download: bool, plot: bool, table: bool, number: int):
         """Execute the specified operations on all specified hashtags."""
 
-        # Scrape all specified hashtags and perform analyses, depending on if 
+        # Scrape all specified hashtags and perform analyses, depending on if
         # `--table` and `--plot` flags are used in the command
         for hashtag in self.hashtags:
             self.get_hashtag_posts(hashtag=hashtag)