This repository contains a Python package that provides an
interface to Twitter's
Engagement API.
In addition to providing a straightforward interface to the API, this package
implements extra aggregation features.
You can pip-install the package:
$ pip install gnip_insights_interface
You can also install a local version from the cloned repository location.
[REPOSITORY] $ pip install -e . -U
This package expects to find a YAML credentials file called
.twitter_api_creds
in your home directory. This files must
contain your Twitter Oauth credentials
in the following format:
username: YOUR_USER_NAME
engagement:
consumer_key: --
consumer_secret: --
token: --
token_secret: --
url: https://data-api.twitter.com/insights/engagement
We provide an interface for passing a set of Tweet IDs to the Twitter Engagement API, which provides engagement data such as impressions, favorites, and replies. A full list of the available engagement types, their names, and the ways that they can be grouped is available in the API documentation.
We construct the API interface in a python module called engagement_api
,
which is part of the gnip_insights_interface
package. We provide a script
for command-line interface called tweet_engagements.py
. The script provides
direct access the the three endpoint of the API: total counts (-T
), 28 hour
summary (-D
, for "day"), as well as an aggregating function (-H
) which
combines the data from results over an arbitrary time range. See the help option.
Custom groupings and engagements types are set with a YAML configuration file
specified with the -c
option. See example config in the example
directory in the repository.