Content fetch and aggregation bot for hugo data-driven websites

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HUGOBOT

hugobot is a bot that automates the fetching and aggregation of content for Hugo data-driven websites. It has the following features:

Data fetch

Use the feeds table to register feeds that will be fetched periodically.
Currently, it can handle these types of feeds: RSS, Github Releases, Newsletters
To define your own feed types, implement the JobHandler interface (see handlers/handlers.go).
Hugobot automatically fetches new posts from the registered feeds.
The database uses Sqlite for storage. It has feeds and posts tables.
The scheduler can handle an unlimited number of tasks and uses leveldb for caching and resuming jobs.

Data is automatically exported to the configured Hugo website path.
It can export data as markdown files or json/toml data files.
You can customize all fields in the exported files.
You can define custom output formats by using the FormatHandler interface.
You can register custom filters and post-processing for exported posts to prevent altering the raw data stored in the database.
You can force data export using the CLI.

It uses gin-gonic as the web framework.
hugobot also includes a webserver API that can be used with Hugo Data Driven Mode.
You can insert and query data from the database. This feature is still a work in progress, but you can easily add the missing code on the API side to automate inserting and querying data from the database.
For example, it can be used to automate the generation of Bitcoin addresses for new articles on bitcointechweekly.com.

Some commands are available through the CLI (github.com/urfave/cli), you can add your own custom commands.

The first time you run the program, it will automatically generate the database. You can add your feeds to the Sqlite database using your preferred Sqlite GUI.