diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..11b4919
Binary files /dev/null and b/.DS_Store differ
diff --git a/markov/markov.py b/markov/markov.py
index 3d9ac39..9de6f25 100644
--- a/markov/markov.py
+++ b/markov/markov.py
@@ -11,7 +11,7 @@ seedNum = 27
 """ Simulation parameters """
 # Should we simulate more than once?
 setSim = True
-simNum = 5000
+simNum = 15000
 
 """ Define our data """
 # The Statespace
@@ -33,7 +33,7 @@ transitionMatrix = np.array([[0.6, 0.1, 0.3],
 initial_dist = np.array([1, 0, 0])
 
 # Steps to run - How many steps or jumps we want the markov chain to make
-stepTime = 1
+stepTime = 2
 # End state you want to find probabilites of - we can estimate the stationary
 # distribution by running this many times for many steps.
 # E.g to find the stat distribution for L run the simulation 10,000 times
diff --git a/slack-bot/scraper.py b/slack-bot/scraper.py
index 8a77fbe..d5bfdd5 100644
--- a/slack-bot/scraper.py
+++ b/slack-bot/scraper.py
@@ -4,7 +4,7 @@ import emoji
 from datetime import datetime
 import re
 
-url = 'https://www.trafficdelays.co.uk/a14-traffic-delays/'
+url = 'https://www.trafficdelays.co.uk/m62-traffic-delays/'
 # prepare the  option for the chrome driver
 options = webdriver.ChromeOptions()
 options.add_argument('headless')
@@ -66,3 +66,5 @@ print(f'Hey Andy, maybe flying would be quicker?'
       + emoji.emojize(f' :helicopter:', use_aliases=True))
 print(f'Don\'t fret, he can always work from home!'
       + emoji.emojize(f' :house_with_garden:', use_aliases=True))
+
+browser.quit()