handlebar is written in Python and uses the Twitter API and Web Scraping. With handlebar, you can obtain the following information (if available) for all the members of the specified Twitter lists:

1. Username
2. Name
3. Location
4. Bio / Description
5. Website URL
6. Metadata description of above URL

You will need API access and Consumer access tokens to make calls to the Twitter API. These can be obtained by simply signing up on their developer page.

1. Clone the repo.

2. Install the python packages mentioned in requirements.txt.

   • Using pip:

   pip install -r requirements.txt

3. Edit the settings.json file.

   • In the keys section, fill out your Twitter API credentials.

   {
       "access_token": " #ACCESS TOKEN ",
       "access_secret": " #ACCESS SECRET ",
       "consumer_key": " #CONSUMER KEY ",
       "consumer_secret": " #CONSUMER SECRET "
   }

   • In the all_urls section, paste the URLs of the lists you would like to work on.

   "all_urls": [
               "https://twitter.com/abcd/lists/list1/",                #Example list
               "https://twitter.com/xyz/lists/list2/members/lang=en"   #Example list
               ]

   • In the format section, specify the extension the result files should be in.

   "format": ".csv"

   Currently only .txt and .csv formats are supported

   • Set count_only: true if you wish to only count the total handles from all the lists.
   • Set no_metadata: true if you do not wish to scrape metadata from URLs obtained from user profiles.
   • Set combine_files: true if you wish to combine results from all the lists into one file called comibined_file.

Run the script from your terminal:

python3 main.py

The script will create a directory (if it doesn't already exist), called results and save the results of each list in a file corresponding to its name.

Example: list1.csv list2.csv

• Atieve Wadhwa - AtieveWadhwa