As one of the most influence social media icon, Gary Vaynerchuk has influenced hundreds thousnds of people, entrepreneurs, and bussinesses across United State by spreading the messages of hustle, care, positivity, Jets. I happended to be one of them. His work ethic moitivates hourdreds and thousands entrepreneurs to work hard on their business and make an impact on others.

This repository shows you how to use tweepy to scrape gary related tweets or hashtag through twitter API and visualize them on a interactive map. It scrapes tweets and save them into a postgresql DB. Then users tweets are showed on a map by reading data from the DB. This turitial used

• Pandas to cleaning data
• Tweepy library scrape tweets through twitter api
• Flask framework to build the server
• d3.js,dc.js and crossfilter.js to buid the charts and
• Leaflet.js for building the map

First, cd to a path in terminal where you want to put the repository. Then

git clone https://github.com/itsjameshan/tweet-gary.git

or download this repository to your local folder.

cd into the folder you cloned or downloaded and create an virtual enviroment by

pip install virtualenv
virtualenv py27

Activate the enviroment in the folder

source py27/bin/activate

Install pandas, tweepy, Shapely and other python packages. This file included the packge for runing the app. I suggested to use python 2.7. If you use > python 3.x, the Shapely package may not compatible.

pip install -r requirements.txt

If you get en erro on OSError: Could not find or load any library geos_c icts of variants ['libgeos_c.so.1', 'libgeos_c.so'], use pip uninstall Shapely to unstall Shapely, and then use conda install Shapely to install Shapely. But You need to install conda first.

• Create a file named private.py for store your twitter app keys later.

• Register a twitter developer account

• Create an twitter app in the twitter developer account page after login by using your twitter account.

• Generate API keys and tokens. The keys can be found under Keys and Access token tab of your twitter app page. You need to go to the bottom of that tab and click create my access token to get the token:

• Copy and paste the keys and tokens into private.py

  • Consumer_Key = ""
  • Consumer_Secret = ""
  • Access_Token = ""
  • Access_Token_Secret = ""

• Install postgresql on your computer. Create a user (your_own_username) or use default postgresql db user name. Create an password (your_own_password)(suggest to use the Mac password if you run on a Mac). And create a new database(your_db_name). You can download a pgAdmin to make the operation easier.

• Replace your_own_username,your_own_password,your_db_name with your own respectively in private.py.

  • user_name = "your_own_username"
  • password = "your_own_password"
  • DB_NAME = "your_db_name"

• If you want to change the search key words, replace the keywords in the first line of setting.py.

• Run scraper.py first before run app.py. It will scrape gary related tweets in real-time. It creates a table named gary under the new database. And search tweets which have #garyvee, Gary vee, GaryVee, Gary Vaynerchuk, vaynermedia and store them in the databse. Use Ctrl + C to stop the script.

• Change the DB_NAME to a radom one.
• Run app.py from the repository root folder. Copy and paste http://0.0.0.0:5002/ to your browser. The browser will show the map and charts in about 7 seconds after loading data from the database, and show
• Number of tweets in a period of time,
• The users followers numbers,
• Tweets content when used garyvee hashtag,
• which states the tweets came from if the user's location is set on, and
• User nearby location on an map if the user's location is set "on".

The number of tweets in timestamp charts will show once tweets collected from more than one hour. The app.py script will load less than 10 tweets if any tweets has been collected at the monent of starting the script. Otherwise, the script will load an example file data.json to show gary related tweets collected previously. If you tereminate app.py by Ctrl + C and re-run app.py, done't forget clear the cache of your browser before re-run.

This project is inspired by:

https://github.com/dataquestio/twitter-scrape

https://github.com/adilmoujahid/kaggle-talkingdata-visualization/blob/master/README.md