diff --git a/README.md b/README.md
index 213f933..fce7f73 100644
--- a/README.md
+++ b/README.md
@@ -10,9 +10,10 @@ The project provides tools to analyze hashtags based on data downloaded using ti
 2. The command above uses the extract_date.py script to extract the dates and the corresponding number of hashtag posts for each date that the TikTok scraper retrieves in the '.json' file.
 
 ## extract_hashtag.py
-1. Use the following command: python3 extract_hashtag.py target_file.json n
-2. The command above will plot top **n** hashtag frequencies based on the json file downloaded using tiktok scraper for a given hashtag. Recommendation n < = 10 for easy to read and analyze.
+1. Use the following command to print the result on the screen: python3 extract_hashtag.py target_file.json n -d
+2. Use the following command to plot: python3 extract_hashtag.py target_file.json n -p
+3. The command above will plot top **n** hashtag frequencies based on the json file downloaded using tiktok scraper for a given hashtag. Recommendation n < = 10 for easy to read and analyze.
 
 ## extract_posts.py
-1. Use the following command: python3 extract_posts.py target_file.json hashtag_name
-2. The command above pulls out all the posts for the hashtag hashtag_name from the downloaded tiktok scraper data. 
+1. Use the following command: python3 extract_posts.py target_file.json hashtag_names
+2. The command above pulls out all the posts for the hashtag hashtag_names (enter multiple names with space) from the downloaded tiktok scraper data.