Pocket-ReadingTime-Estimation-Visualization

Calculate the amount of time each Pocket Article will take reading by adding a tag like "10 min"

Count the number of articles in each tag

Dependencies

To run this script you need to install the following packages:

pip install pocket-api
pip install pocket-cli
pip install beautifulsoup4
pip install requests
pip install newspaper3k

Usage

1. Edit the configurations file and add your consumer_key (get it here) and your access_token (get it here)
2. Execute the file: python .\main.py and watch the progress
3. Execute the file: python .\sumario.py to generate a table of ERT ranges and number of artic in each

Configurations

• consumer_key - API specific key for each deployment, see detailed instructions here
• access_token - API specific key for each account
• delete_other_tags - 1 if you want all other article tags to be removed, 0 if you want to leave them be
• offset_articles_start - specify what is the index of the first article to parse
• count_articles_to_tag - specify how many articles to parse, 0 means all
• add_tags - 1 adds the tag "x min" to your articles indicating how many minutes you are expected to take reading them, 0 if you don't want to add the tag (this is usefull if you only want to see the program output)
• commit_tags_only_at_the_end - The tag changes (additions and deletions) can be commited for each article or in bulk. 1 means that they will only be committed once every article is parsed, 0 means that each time an article time is calculated its changes are committed (useful if you want to break the execution and have no changes committed until the end)

Example output