# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/rkhilgq
Erlang Solutions: Effortlessly Extract Data from Websites with Crawly YML
## The workflow
So in our ideal world scenario, it should work in the following way:
1. Pull Crawly Docker image from DockerHub.
2. Create a simple configuration file.
3. Start it!
4. Create a spider via the YML interface.
The detailed documentation and the example can be found on HexDocs here: [https://hexdocs.pm/crawly/spiders\_in\_yml.html#content](https://hexdocs.pm/crawly/spiders_in_yml.html#c ... ⌘ Read more