vincevertulfo/PHStock-tweets-dashboard

Built an interactive dashboard on PH Stock Tweets using Streamlit

PHStock-tweets-dashboard

Building an interactive dashboard on PH Stock Tweets using Streamlit!

This repository contains two main python scripts:

• scraper.py - scrapes tweets from the accounts you specify
• app.py - visualizes the scraped tweets

Inputs (scraper.py)

1. Set authentication credentials follow the steps here to get yours
2. Specify list of accounts you want to scrape from
3. Specify earliest date you want to start scraping

Usage

account_check = ['2TradeAsia']

user_cred = TwitterCreds(consumer_key, consumer_secret, access_token, access_secret)

client = user_cred.authorize_twitter()

accounts = AccountTweets(account_check)

year, month, day = 2020, 6, 1

usertweets = accounts.get_user_tweets(client,year,month,day)

tweet_df = accounts.store_tweets(usertweets)

cleaned_tweet_df = accounts.clean_tweet_df(tweet_df)

After running, you should see a new folder in your current directory named "datasets".

Now that you have data available, you can run the Streamlit app and checkout the dashboard. (Make sure you have Streamlit installed in your environment)

Usage

streamlit run app.py

This how the dashboard will look like once you've successfully scraped the tweets and ran the Streamlit app.

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