This library provides an easy-to-use Python interface to RTB House API. It allows you to read and manage you campaigns settings, browse offers, download statistics etc.
API docs: https://api.panel.rtbhouse.com/api/docs
RTB House SDK can be installed with pip:
$ pip install rtbhouse_sdk
Let's write a script which fetches campaign stats (imps, clicks, postclicks) and shows the result as a table (using tabulate library).
First, create config.py file with your credentials:
USERNAME = 'jdoe' PASSWORD = 'abcd1234'
Set up virtualenv and install requirements:
$ pip install rtbhouse_sdk tabulate
from datetime import date, timedelta
from operator import attrgetter
from rtbhouse_sdk.client import BasicAuth, Client
from rtbhouse_sdk.schema import CountConvention, StatsGroupBy, StatsMetric
from tabulate import tabulate
from config import PASSWORD, USERNAME
if __name__ == "__main__":
with Client(auth=BasicAuth(USERNAME, PASSWORD)) as api:
advertisers = api.get_advertisers()
day_to = date.today()
day_from = day_to - timedelta(days=30)
group_by = [StatsGroupBy.DAY]
metrics = [
StatsMetric.IMPS_COUNT,
StatsMetric.CLICKS_COUNT,
StatsMetric.CAMPAIGN_COST,
StatsMetric.CONVERSIONS_COUNT,
StatsMetric.CTR
]
stats = api.get_rtb_stats(
advertisers[0].hash,
day_from,
day_to,
group_by,
metrics,
count_convention=CountConvention.ATTRIBUTED_POST_CLICK,
)
columns = group_by + metrics
data_frame = [
[getattr(row, c.name.lower()) for c in columns]
for row in reversed(sorted(stats, key=attrgetter("day")))
]
print(tabulate(data_frame, headers=columns))
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