diff --git a/README.md b/README.md
index 9783584..ffe1a1e 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,8 @@
+# Goodreads Snarfer 
+
+Forking from Goodreads Scraper.  <b>This README will be out of date for a while</b>. 
+The original README.md contents follow:
+
 # Goodreads Scraper
 
 These Python scripts can be used to collect book reviews and metadata from Goodreads.
diff --git a/cli/get_web_driver.py b/cli/get_web_driver.py
new file mode 100644
index 0000000..1655d47
--- /dev/null
+++ b/cli/get_web_driver.py
@@ -0,0 +1,14 @@
+from selenium import webdriver
+from webdriver_manager.chrome import ChromeDriverManager
+from selenium.webdriver.chromium.webdriver import ChromiumDriver
+
+
+def get_web_driver(browser_name: str) -> ChromiumDriver:
+    if browser_name == 'chrome':
+        driver = webdriver.Chrome(ChromeDriverManager().install())
+    elif browser_name == 'edge':
+        driver = webdriver.Edge()
+    else:
+        raise ValueError('Please select a web browser: Chrome or Edge')
+
+    return driver
diff --git a/get_books.py b/cli/main_get_books.py
similarity index 54%
rename from get_books.py
rename to cli/main_get_books.py
index 822af53..bbd77b2 100644
--- a/get_books.py
+++ b/cli/main_get_books.py
@@ -1,5 +1,6 @@
 import argparse
 from datetime import datetime
+from typing import AnyStr
 import json
 import os
 import re
@@ -7,12 +8,16 @@
 
 from urllib.request import urlopen
 from urllib.error import HTTPError
+from get_web_driver import get_web_driver
 import bs4
 import pandas as pd
+from selenium.webdriver.chromium.webdriver import ChromiumDriver
+from selenium.webdriver.common.by import By
 
+from dataclasses import dataclass
 
-def get_all_lists(soup):
 
+def get_all_lists(soup):
     lists = []
     list_count_dict = {}
 
@@ -26,7 +31,6 @@ def get_all_lists(soup):
 
         i = 0
         while soup.find('a', {'class': 'next_page'}) and i <= 10:
-
             time.sleep(2)
             next_url = 'https://www.goodreads.com' + soup.find('a', {'class': 'next_page'})['href']
             source = urlopen(next_url)
@@ -49,9 +53,8 @@ def get_all_lists(soup):
 
 
 def get_shelves(soup):
-
     shelf_count_dict = {}
-    
+
     if soup.find('a', text='See top shelves…'):
 
         # Find shelves text.
@@ -59,7 +62,7 @@ def get_shelves(soup):
         source = urlopen('https://www.goodreads.com' + shelves_url)
         soup = bs4.BeautifulSoup(source, 'lxml')
         shelves = [' '.join(node.text.strip().split()) for node in soup.find_all('div', {'class': 'shelfStat'})]
-        
+
         # Format shelves text.
         shelf_count_dict = {}
         for _shelf in shelves:
@@ -80,42 +83,46 @@ def get_genres(soup):
     return genres
 
 
-def get_series_name(soup):
+def get_series_name(soup, driver):
     series = soup.find(id="bookSeries").find("a")
-    if series:
-        series_name = re.search(r'\((.*?)\)', series.text).group(1)
-        return series_name
-    else:
+    if not series:
         return ""
+    # TODO: page has changed this will no longer work
+    series_name = re.search(r'\((.*?)\)', series.text).group(1)
+    return series_name
 
 
-def get_series_uri(soup):
+def get_series_uri(soup, driver):
     series = soup.find(id="bookSeries").find("a")
-    if series:
-        series_uri = series.get("href")
-        return series_uri
-    else:
+    if not series:
         return ""
+    series_uri = series.get("href")
+    return series_uri
+
 
 def get_top_5_other_editions(soup):
     other_editions = []
     for div in soup.findAll('div', {'class': 'otherEdition'}):
-      other_editions.append(div.find('a')['href'])
+        other_editions.append(div.find('a')['href'])
     return other_editions
 
-def get_isbn(soup):
-    try:
-        isbn = re.findall(r'nisbn: [0-9]{10}' , str(soup))[0].split()[1]
-        return isbn
-    except:
-        return "isbn not found"
 
-def get_isbn13(soup):
-    try:
-        isbn13 = re.findall(r'nisbn13: [0-9]{13}' , str(soup))[0].split()[1]
-        return isbn13
-    except:
-        return "isbn13 not found"
+def get_isbn(soup, driver) -> str | None:
+    # try:
+    #     isbn = re.findall(r'nisbn: [0-9]{10}', str(soup))[0].split()[1]
+    #     return isbn
+    # except:
+    #     raise RuntimeError("isbn not found")
+    return None
+
+
+def get_isbn13(soup, driver) -> str | None:
+    # try:
+    #     isbn13 = re.findall(r'nisbn13: [0-9]{13}', str(soup))[0].split()[1]
+    #     return isbn13
+    # except:
+    #     return "isbn13 not found"
+    return None
 
 
 def get_rating_distribution(soup):
@@ -126,7 +133,7 @@ def get_rating_distribution(soup):
                          '4 Stars': distribution[1],
                          '3 Stars': distribution[2],
                          '2 Stars': distribution[3],
-                         '1 Star':  distribution[4]}
+                         '1 Star': distribution[4]}
     return distribution_dict
 
 
@@ -138,89 +145,139 @@ def get_num_pages(soup):
 
 
 def get_year_first_published(soup):
-    year_first_published = soup.find('nobr', attrs={'class':'greyText'})
+    year_first_published = soup.find('nobr', attrs={'class': 'greyText'})
     if year_first_published:
         year_first_published = year_first_published.string
         return re.search('([0-9]{3,4})', year_first_published).group(1)
     else:
         return ''
 
-def get_id(bookid):
-    pattern = re.compile("([^.-]+)")
-    return pattern.search(bookid).group()
 
-def get_cover_image_uri(soup):
-    series = soup.find('img', id='coverImage')
-    if series:
-        series_uri = series.get('src')
-        return series_uri
-    else:
-        return ""
-    
-def scrape_book(book_id):
-    url = 'https://www.goodreads.com/book/show/' + book_id
+BOOK_ID_PATTERN = re.compile("([^.-]+)")
+
+
+def get_id_group(book_id: str) -> AnyStr:
+    return BOOK_ID_PATTERN.search(book_id).group()
+
+
+def get_cover_image_uri(driver: ChromiumDriver) -> str | None:
+    el = driver.find_element(By.CSS_SELECTOR, "img[class='ResponsiveImage']")
+    src = el.get_attribute('src') if el is not None else None
+
+    return src
+
+
+def get_book_title(driver: ChromiumDriver) -> str:
+    el = driver.find_element(By.CSS_SELECTOR, "h1[data-testid='bookTitle']")
+    title = el.text if el is not None else None
+
+    return title
+
+
+def scrape_book(book_id: str, driver: ChromiumDriver):
+    url = f'https://www.goodreads.com/book/show/{book_id}'
+
+    driver.get(url)
     source = urlopen(url)
     soup = bs4.BeautifulSoup(source, 'html.parser')
 
     time.sleep(2)
 
-    return {'book_id_title':        book_id,
-            'book_id':              get_id(book_id),
-            'cover_image_uri':      get_cover_image_uri(soup),
-            'book_title':           ' '.join(soup.find('h1', {'id': 'bookTitle'}).text.split()),
-            "book_series":          get_series_name(soup),
-            "book_series_uri":      get_series_uri(soup),
+    book_id_title = book_id
+    book_id_group = get_id_group(book_id)
+    cover_image_uri = get_cover_image_uri(driver)
+    book_title = get_book_title(driver)
+
+    return {'book_id_title': book_id_title,
+            'book_id': book_id_group,
+            'cover_image_uri': cover_image_uri,
+            'book_title': book_title,
+            "book_series": get_series_name(soup, driver),
+            "book_series_uri": get_series_uri(soup, driver),
             'top_5_other_editions': get_top_5_other_editions(soup),
-            'isbn':                 get_isbn(soup),
-            'isbn13':               get_isbn13(soup),
+            'isbn': get_isbn(soup, driver),
+            'isbn13': get_isbn13(soup, driver),
             'year_first_published': get_year_first_published(soup),
-            'authorlink':           soup.find('a', {'class': 'authorName'})['href'],
-            'author':               ' '.join(soup.find('span', {'itemprop': 'name'}).text.split()),
-            'num_pages':            get_num_pages(soup),
-            'genres':               get_genres(soup),
-            'shelves':              get_shelves(soup),
-            'lists':                get_all_lists(soup),
-            'num_ratings':          soup.find('meta', {'itemprop': 'ratingCount'})['content'].strip(),
-            'num_reviews':          soup.find('meta', {'itemprop': 'reviewCount'})['content'].strip(),
-            'average_rating':       soup.find('span', {'itemprop': 'ratingValue'}).text.strip(),
-            'rating_distribution':  get_rating_distribution(soup)}
+            'authorlink': soup.find('a', {'class': 'authorName'})['href'],
+            'author': ' '.join(soup.find('span', {'itemprop': 'name'}).text.split()),
+            'num_pages': get_num_pages(soup),
+            'genres': get_genres(soup),
+            'shelves': get_shelves(soup),
+            'lists': get_all_lists(soup),
+            'num_ratings': soup.find('meta', {'itemprop': 'ratingCount'})['content'].strip(),
+            'num_reviews': soup.find('meta', {'itemprop': 'reviewCount'})['content'].strip(),
+            'average_rating': soup.find('span', {'itemprop': 'ratingValue'}).text.strip(),
+            'rating_distribution': get_rating_distribution(soup)}
 
-def condense_books(books_directory_path):
 
+def condense_books(books_directory_path):
     books = []
-    
+
     # Look for all the files in the directory and if they contain "book-metadata," then load them all and condense them into a single file
     for file_name in os.listdir(books_directory_path):
-        if file_name.endswith('.json') and not file_name.startswith('.') and file_name != "all_books.json" and "book-metadata" in file_name:
-            _book = json.load(open(books_directory_path + '/' + file_name, 'r')) #, encoding='utf-8', errors='ignore'))
+        if file_name.endswith('.json') and not file_name.startswith(
+                '.') and file_name != "all_books.json" and "book-metadata" in file_name:
+            _book = json.load(
+                open(books_directory_path + '/' + file_name, 'r'))  # , encoding='utf-8', errors='ignore'))
             books.append(_book)
 
     return books
 
-def main():
-
-    start_time = datetime.now()
-    script_name = os.path.basename(__file__)
 
+def get_arg_parse() -> argparse.ArgumentParser:
     parser = argparse.ArgumentParser()
     parser.add_argument('--book_ids_path', type=str)
     parser.add_argument('--output_directory_path', type=str)
     parser.add_argument('--format', type=str, action="store", default="json",
                         dest="format", choices=["json", "csv"],
                         help="set file output format")
+
+    return parser
+
+
+@dataclass
+class BooksToScrape:
+    books_to_scrape: list[str]
+    books_already_scraped: list[str]
+    book_ids: list[str]
+
+
+def get_books_to_scrape(book_ids_path: str, output_directory: str) -> BooksToScrape:
+    # TODO: seems this could be done easier with sets!
+    with open(book_ids_path, 'r') as book_ids_file:
+        book_ids = [line.strip() for line in book_ids_file if line.strip()]
+    books_already_scraped = [file_name.replace('_book-metadata.json', '') for file_name in
+                             os.listdir(output_directory) if
+                             file_name.endswith('.json') and not file_name.startswith('all_books')]
+    books_to_scrape = [book_id for book_id in book_ids if book_id not in books_already_scraped]
+
+    return BooksToScrape(books_to_scrape=books_to_scrape, books_already_scraped=books_already_scraped, book_ids=book_ids)
+
+
+def main():
+    start_time = datetime.now()
+    script_name = os.path.basename(__file__)
+
+    parser = get_arg_parse()
     args = parser.parse_args()
 
-    book_ids              = [line.strip() for line in open(args.book_ids_path, 'r') if line.strip()]
-    books_already_scraped =  [file_name.replace('_book-metadata.json', '') for file_name in os.listdir(args.output_directory_path) if file_name.endswith('.json') and not file_name.startswith('all_books')]
-    books_to_scrape       = [book_id for book_id in book_ids if book_id not in books_already_scraped]
-    condensed_books_path   = args.output_directory_path + '/all_books'
+    # TODO: make browser name an arg
+    driver = get_web_driver('edge')
+
+    output_directory_path = args.output_directory_path
+    book_ids_path = args.book_ids_path
+
+    scrape_info = get_books_to_scrape(book_ids_path, output_directory_path)
 
-    for i, book_id in enumerate(books_to_scrape):
+    condensed_books_path = f'{output_directory_path}/all_books'
+
+    for i, book_id in enumerate(scrape_info.books_to_scrape):
         try:
             print(str(datetime.now()) + ' ' + script_name + ': Scraping ' + book_id + '...')
-            print(str(datetime.now()) + ' ' + script_name + ': #' + str(i+1+len(books_already_scraped)) + ' out of ' + str(len(book_ids)) + ' books')
+            print(str(datetime.now()) + ' ' + script_name + ': #' + str(
+                i + 1 + len(scrape_info.books_already_scraped)) + ' out of ' + str(len(scrape_info.book_ids)) + ' books')
 
-            book = scrape_book(book_id)
+            book = scrape_book(book_id, driver)
             # Add book metadata to file name to be more specific
             json.dump(book, open(args.output_directory_path + '/' + book_id + '_book-metadata.json', 'w'))
 
@@ -230,17 +287,17 @@ def main():
             print(e)
             exit(0)
 
-
     books = condense_books(args.output_directory_path)
     if args.format == 'json':
-        json.dump(books, open(f"{condensed_books_path}.json", 'w'))
+        json.dump(books, open(f"{condensed_books_path}.json", 'w'), indent=4)
     elif args.format == 'csv':
-        json.dump(books, open(f"{condensed_books_path}.json", 'w'))
+        json.dump(books, open(f"{condensed_books_path}.json", 'w'), indent=4)
         book_df = pd.read_json(f"{condensed_books_path}.json")
         book_df.to_csv(f"{condensed_books_path}.csv", index=False, encoding='utf-8')
-        
-    print(str(datetime.now()) + ' ' + script_name + f':\n\n🎉 Success! All book metadata scraped. 🎉\n\nMetadata files have been output to /{args.output_directory_path}\nGoodreads scraping run time = ⏰ ' + str(datetime.now() - start_time) + ' ⏰')
 
+    print(
+        str(datetime.now()) + ' ' + script_name + f':\n\n🎉 Success! All book metadata scraped. 🎉\n\nMetadata files have been output to /{args.output_directory_path}\nGoodreads scraping run time = ⏰ ' + str(
+            datetime.now() - start_time) + ' ⏰')
 
 
 if __name__ == '__main__':
diff --git a/get_reviews.py b/cli/main_get_reviews.py
similarity index 70%
rename from get_reviews.py
rename to cli/main_get_reviews.py
index 8b78f85..3ed57f1 100644
--- a/get_reviews.py
+++ b/cli/main_get_reviews.py
@@ -7,24 +7,21 @@
 import time
 import bs4
 from selenium import webdriver
-from selenium.webdriver.common.action_chains import ActionChains
-from selenium.common.exceptions import NoSuchElementException, ElementNotInteractableException, ElementClickInterceptedException, ElementNotVisibleException, StaleElementReferenceException
+from selenium.common.exceptions import NoSuchElementException, ElementNotInteractableException, \
+    ElementClickInterceptedException, ElementNotVisibleException, StaleElementReferenceException
 from selenium.webdriver.support.ui import Select
-from urllib.request import urlopen
 from urllib.error import HTTPError
 from selenium.webdriver.common.by import By
 import pandas as pd
-import geckodriver_autoinstaller
 from webdriver_manager.chrome import ChromeDriverManager
+from selenium.webdriver.chromium.webdriver import ChromiumDriver
 
-
-
-RATING_STARS_DICT = {'it was amazing': 5,
-                     'really liked it': 4,
-                     'liked it': 3,
-                     'it was ok': 2,
-                     'did not like it': 1,
-                     '': None}
+RATING_STARS: dict[str, int | None] = {'it was amazing': 5,
+                                       'really liked it': 4,
+                                       'liked it': 3,
+                                       'it was ok': 2,
+                                       'did not like it': 1,
+                                       '': None}
 
 
 def switch_reviews_mode(driver, book_id, sort_order, rating=None):
@@ -33,7 +30,7 @@ def switch_reviews_mode(driver, book_id, sort_order, rating=None):
     Licensed under GPL v3.0: https://github.com/OmarEinea/GoodReadsScraper/blob/master/LICENSE.md
     Accessed on 2019-12-01.
     """
-    edition_reviews=False
+    edition_reviews = False
     rating = str(rating) if rating else ''
     driver.execute_script(
         'document.getElementById("reviews").insertAdjacentHTML("beforeend", \'<a data-remote="true" rel="nofollow"'
@@ -45,11 +42,11 @@ def switch_reviews_mode(driver, book_id, sort_order, rating=None):
     return True
 
 
-def get_rating(node):
-    if len(node.find_all('span', {'class': 'staticStars'})) > 0:
-        rating = node.find_all('span', {'class': 'staticStars'})[0]['title']
-        return RATING_STARS_DICT[rating]
-    return ''
+def get_rating(node) -> str | None:
+    if len(node.find_all('span', {'class': 'staticStars'})) == 0:
+        return ''
+    rating = node.find_all('span', {'class': 'staticStars'})[0]['title']
+    return RATING_STARS[rating]
 
 
 def get_user_name(node):
@@ -57,6 +54,7 @@ def get_user_name(node):
         return node.find_all('a', {'class': 'user'})[0]['title']
     return ''
 
+
 def get_user_url(node):
     if len(node.find_all('a', {'class': 'user'})) > 0:
         return node.find_all('a', {'class': 'user'})[0]['href']
@@ -70,7 +68,6 @@ def get_date(node):
 
 
 def get_text(node):
-
     display_text = ''
     full_text = ''
 
@@ -95,21 +92,21 @@ def get_num_likes(node):
     return 0
 
 
-def get_shelves(node): 
-    shelves = []       
+def get_shelves(node):
+    shelves = []
     if node.find('div', {'class': 'uitext greyText bookshelves'}):
         _shelves_node = node.find('div', {'class': 'uitext greyText bookshelves'})
         for _shelf_node in _shelves_node.find_all('a'):
             shelves.append(_shelf_node.text)
     return shelves
 
+
 def get_id(bookid):
     pattern = re.compile("([^.]+)")
     return pattern.search(bookid).group()
 
-    
-def scrape_reviews_on_current_page(driver, url, book_id, sort_order):
 
+def scrape_reviews_on_current_page(driver, url, book_id, sort_order):
     reviews = []
 
     # Pull the page source, load into BeautifulSoup, and find all review nodes.
@@ -117,20 +114,20 @@ def scrape_reviews_on_current_page(driver, url, book_id, sort_order):
     soup = bs4.BeautifulSoup(source, 'lxml')
     nodes = soup.find_all('div', {'class': 'review'})
     book_title = soup.find(id='bookTitle').text.strip()
-    
+
     # Iterate through and parse the reviews.
     for node in nodes:
         review_id = re.search('[0-9]+', node['id']).group(0)
         reviews.append({'book_id_title': book_id,
                         'book_id': get_id(book_id),
                         'book_title': book_title,
-                        'review_url': f"https://www.goodreads.com/review/show/{review_id}", 
-                        'review_id': review_id, 
-                        'date': get_date(node), 
-                        'rating': get_rating(node), 
+                        'review_url': f"https://www.goodreads.com/review/show/{review_id}",
+                        'review_id': review_id,
+                        'date': get_date(node),
+                        'rating': get_rating(node),
                         'user_name': get_user_name(node),
                         'user_url': get_user_url(node),
-                        'text': get_text(node), 
+                        'text': get_text(node),
                         'num_likes': get_num_likes(node),
                         'sort_order': sort_order,
                         'shelves': get_shelves(node)})
@@ -139,12 +136,12 @@ def scrape_reviews_on_current_page(driver, url, book_id, sort_order):
 
 
 def check_for_duplicates(reviews):
-    review_ids = [r['review_id'] for r in reviews]  
+    review_ids = [r['review_id'] for r in reviews]
     num_duplicates = len([_id for _id, _count in Counter(review_ids).items() if _count > 1])
     return num_duplicates
 
-def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
 
+def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
     reviews = []
     url = 'https://www.goodreads.com/book/show/' + book_id
     driver.get(url)
@@ -162,14 +159,14 @@ def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
             select = Select(driver.find_element(By.NAME, str('language_code')))
             select.select_by_value('en')
             time.sleep(4)
-    
+
         # Scrape the first page of reviews.
         reviews = scrape_reviews_on_current_page(driver, url, book_id, sort_order)
         print('Scraped page 1')
         # GoodReads will only load the first 10 pages of reviews.
         # Click through each of the following nine pages and scrape each page.
         page_counter = 2
-        while page_counter <=10:
+        while page_counter <= 10:
             try:
                 if driver.find_element(By.LINK_TEXT, str(page_counter)):
                     driver.find_element(By.LINK_TEXT, str(page_counter)).click()
@@ -179,7 +176,7 @@ def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
                     page_counter += 1
                 else:
                     return reviews
-            
+
             except NoSuchElementException:
                 if page_counter == 10:
                     try:
@@ -191,39 +188,41 @@ def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
                 else:
                     print(f'{book_id} has less than 10 pages of reviews!')
                     return reviews
-            
+
             except ElementNotVisibleException:
                 print('ERROR ElementNotVisibleException: Pop-up detected, reloading the page.')
                 reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
                 return reviews
-                        
+
             except ElementClickInterceptedException:
-                print(f'🚨 ElementClickInterceptedException (Likely a pop-up)🚨\n🔄 Refreshing Goodreads site and skipping problem page {page_counter}🔄')
+                print(
+                    f'🚨 ElementClickInterceptedException (Likely a pop-up)🚨\n🔄 Refreshing Goodreads site and skipping problem page {page_counter}🔄')
                 driver.get(url)
                 time.sleep(3)
                 page_counter += 1
                 continue
-                
+
             except StaleElementReferenceException:
-                print('ERROR: StaleElementReferenceException\nRefreshing Goodreads site and skipping problem page {page_counter} ')
+                print(
+                    'ERROR: StaleElementReferenceException\nRefreshing Goodreads site and skipping problem page {page_counter} ')
                 driver.get(url)
                 time.sleep(3)
                 page_counter += 1
                 continue
-                
+
     except ElementClickInterceptedException:
-                print(f'🚨 ElementClickInterceptedException (Likely a pop-up)🚨\n🔄 Refreshing Goodreads site and rescraping book🔄')
-                driver.get(url)
-                time.sleep(3)
-                reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
-                return reviews
-                
+        print(
+            f'🚨 ElementClickInterceptedException (Likely a pop-up)🚨\n🔄 Refreshing Goodreads site and rescraping book🔄')
+        driver.get(url)
+        time.sleep(3)
+        reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
+        return reviews
+
     except ElementNotInteractableException:
-            print('🚨 ElementNotInteractableException🚨 \n🔄 Refreshing Goodreads site and rescraping book🔄')
-            reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
-            return reviews
+        print('🚨 ElementNotInteractableException🚨 \n🔄 Refreshing Goodreads site and rescraping book🔄')
+        reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
+        return reviews
 
-        
     if check_for_duplicates(reviews) >= 30:
         print(f'ERROR: {check_for_duplicates(reviews)} duplicates found! Re-scraping this book.')
         reviews = get_reviews_first_ten_pages(driver, book_id, sort_order, rating)
@@ -231,75 +230,81 @@ def get_reviews_first_ten_pages(driver, book_id, sort_order, rating):
     else:
         return reviews
 
-    return reviews
-    
+
 def condense_reviews(reviews_directory_path):
     reviews = []
     for file_name in os.listdir(reviews_directory_path):
         # Check to see if reviews in file name
-        if file_name.endswith('.json') and not file_name.startswith('.') and file_name != "all_reviews.json" and "_reviews" in file_name:
+        if file_name.endswith('.json') and not file_name.startswith(
+                '.') and file_name != "all_reviews.json" and "_reviews" in file_name:
             _reviews = json.load(open(reviews_directory_path + '/' + file_name, 'r'))
             reviews += _reviews
     return reviews
 
-def main():
 
-    start_time = datetime.now()
-    script_name = os.path.basename(__file__)
+def get_web_driver(browser_name: str) -> ChromiumDriver:
+    if browser_name == 'chrome':
+        driver = webdriver.Chrome(ChromeDriverManager().install())
+    elif browser_name == 'edge':
+        driver = webdriver.Edge()
+    else:
+        raise ValueError('Please select a web browser: Chrome or Edge')
+
+    return driver
 
+
+def get_arg_parser() -> argparse.ArgumentParser:
     parser = argparse.ArgumentParser()
     parser.add_argument('--book_ids_path', type=str)
     parser.add_argument('--output_directory_path', type=str)
+    # TODO: choice to limit us here?
     parser.add_argument('--browser', type=str, help="choose a browser")
     parser.add_argument('--rating_filter', default=None, type=int)
     parser.add_argument('--sort_order', default='default', type=str)
+    # TODO: choice to limit us here?
     parser.add_argument('--format', type=str, action="store", default="json",
                         dest="format",
                         help="set file output format")
-    
+
+    return parser
+
+
+def main():
+    start_time = datetime.now()
+    script_name = os.path.basename(__file__)
+
+    parser = get_arg_parser()
     args = parser.parse_args()
-    
+
     if not args.book_ids_path:
         parser.error("\n\nPlease add the --book_ids_path flag and choose a filepath that contains Goodreads book IDs\n")
     if not args.output_directory_path:
-        parser.error("\n\nPlease add the --output_directory_path and choose a directory filepath to output your reviews\n")
+        parser.error(
+            "\n\nPlease add the --output_directory_path and choose a directory filepath to output your reviews\n")
     if not args.browser:
         parser.error("\n\nPlease add the --browser flag and choose a browser: either Firefox or Chrome\n")
 
-    book_ids              = [line.strip() for line in open(args.book_ids_path, 'r') if line.strip()]
-    books_already_scraped = [file_name.replace('_reviews.json', '') for file_name in os.listdir(args.output_directory_path) if file_name.endswith('.json') and not file_name.startswith('all_reviews') and "_reviews" in file_name]
-    books_to_scrape       = [book_id for book_id in book_ids if book_id not in books_already_scraped]
-    condensed_reviews_path   = args.output_directory_path + '/all_reviews'
-    
-    #Set up driver
-    if args.browser is not None:
-        if args.browser.lower() == 'chrome':
-            driver = webdriver.Chrome(ChromeDriverManager().install())
-        elif args.browser.lower() == 'firefox':
-            geckodriver_autoinstaller.install()
-            driver = webdriver.Firefox()
-       # Get an option to work with Google Colab
-        elif args.browser.lower() == "colab":
-            from selenium.webdriver.chrome.options import Options
-            chrome_options = Options()
-            chrome_options.add_argument("--headless")
-            chrome_options.add_argument('--no-sandbox')
-            driver = webdriver.Chrome('/usr/lib/chromium-browser/chromedriver', options=chrome_options)
-        else:
-            print('Please select a web browser: Chrome or Firefox')
-    else:
-        print('Please select a web browser: Chrome or Firefox')
-    
+    book_ids = [line.strip() for line in open(args.book_ids_path, 'r') if line.strip()]
+    books_already_scraped = [file_name.replace('_reviews.json', '') for file_name in
+                             os.listdir(args.output_directory_path) if
+                             file_name.endswith('.json') and not file_name.startswith(
+                                 'all_reviews') and "_reviews" in file_name]
+    books_to_scrape = [book_id for book_id in book_ids if book_id not in books_already_scraped]
+    condensed_reviews_path = f'{args.output_directory_path}/all_reviews'
+
+    driver = get_web_driver(args.browser.lower())
+
     for i, book_id in enumerate(books_to_scrape):
         try:
-
             print(str(datetime.now()) + ' ' + script_name + ': Scraping ' + book_id + '...')
-            print(str(datetime.now()) + ' ' + script_name + ': #' + str(i+1+len(books_already_scraped)) + ' out of ' + str(len(book_ids)) + ' books')
+            print(str(datetime.now()) + ' ' + script_name + ': #' + str(
+                i + 1 + len(books_already_scraped)) + ' out of ' + str(len(book_ids)) + ' books')
 
             reviews = get_reviews_first_ten_pages(driver, book_id, args.sort_order, rating=args.rating_filter)
 
             if reviews:
-                print(str(datetime.now()) + ' ' + script_name + ': Scraped ✨' + str(len(reviews)) + '✨ reviews for ' + book_id)
+                print(str(datetime.now()) + ' ' + script_name + ': Scraped ✨' + str(
+                    len(reviews)) + '✨ reviews for ' + book_id)
 
                 if args.rating_filter:
                     filename_rating_suffix = f'_{args.rating_filter}_stars'
@@ -316,7 +321,7 @@ def main():
             pass
 
     driver.quit()
-    
+
     reviews = condense_reviews(args.output_directory_path)
     if args.format.lower() == 'json':
         json.dump(reviews, open(f"{condensed_reviews_path}.json", 'w'))
@@ -324,9 +329,10 @@ def main():
         json.dump(reviews, open(f"{condensed_reviews_path}.json", 'w'))
         review_df = pd.read_json(f"{condensed_reviews_path}.json")
         review_df.to_csv(f"{condensed_reviews_path}.csv", index=False, encoding='utf-8')
-    
 
-    print(str(datetime.now()) + ' ' + script_name + f':\n\n🎉 Success! All book reviews scraped. 🎉\n\nGoodreads review files have been output to /{args.output_directory_path}\nGoodreads scraping run time = ⏰ ' + str(datetime.now() - start_time) + ' ⏰')
+    print(
+        str(datetime.now()) + ' ' + script_name + f':\n\n🎉 Success! All book reviews scraped. 🎉\n\nGoodreads review files have been output to /{args.output_directory_path}\nGoodreads scraping run time = ⏰ ' + str(
+            datetime.now() - start_time) + ' ⏰')
 
 
 if __name__ == '__main__':
diff --git a/goodreads_classics.txt b/data_files/goodreads_classics.txt
similarity index 100%
rename from goodreads_classics.txt
rename to data_files/goodreads_classics.txt
diff --git a/goodreads_classics_sample.txt b/data_files/goodreads_classics_sample.txt
similarity index 100%
rename from goodreads_classics_sample.txt
rename to data_files/goodreads_classics_sample.txt
diff --git a/most_popular_classics.txt b/data_files/most_popular_classics.txt
similarity index 100%
rename from most_popular_classics.txt
rename to data_files/most_popular_classics.txt
diff --git a/test_book_ids.txt b/data_files/test_book_ids.txt
similarity index 100%
rename from test_book_ids.txt
rename to data_files/test_book_ids.txt
diff --git a/environment.yml b/environment.yml
new file mode 100644
index 0000000..7cabc48
--- /dev/null
+++ b/environment.yml
@@ -0,0 +1,14 @@
+name: gr_snarfer_env 
+channels:
+  - conda-forge
+dependencies:
+  - python=3.11
+#  - pandas
+#  - numpy
+  - selenium = 4.9.0
+  - beautifulsoup4 = 4.12.2
+  - lxml = 4.9.2
+  - pandas = 2.0.1
+  - regex = 2023.5.5
+  - webdriver-manager = 3.8.6
+  - mypy = 1.2.0
diff --git a/How-To-Use-Goodreads-Scraper.ipynb b/notebooks/How-To-Use-Goodreads-Scraper.ipynb
similarity index 100%
rename from How-To-Use-Goodreads-Scraper.ipynb
rename to notebooks/How-To-Use-Goodreads-Scraper.ipynb
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..4cc5579
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,964 @@
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+
+[[package]]
+name = "async-generator"
+version = "1.10"
+description = "Async generators and context managers for Python 3.5+"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
+    {file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
+]
+
+[[package]]
+name = "attrs"
+version = "23.1.0"
+description = "Classes Without Boilerplate"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
+    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.2"
+description = "Screen-scraping library"
+category = "main"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
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+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
+[[package]]
+name = "certifi"
+version = "2023.5.7"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+]
+
+[[package]]
+name = "cffi"
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..b8f3f7f
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,24 @@
+[tool.poetry]
+name = "goodreads-snarfer"
+version = "0.1.0"
+description = "Pull in information from GoodReads. (Forked from https://github.com/maria-antoniak/goodreads-scraper)"
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+readme = "README.md"
+packages = [{include = "goodreads_snarfer"}]
+
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diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index e37bc15..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,9 +0,0 @@
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-selenium
-lxml
-geckodriver-autoinstaller
-webdriver_manager
-pandas
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diff --git a/test_scripts.sh b/scripts/test_scripts.sh
similarity index 100%
rename from test_scripts.sh
rename to scripts/test_scripts.sh