This is a wrapper for Amplitude APIs. You can use it to query and export data from your account and use the taxonomy API.
Why use this package instead of other wrappers?
This package supports regions and so you can use it with Amplitude accounts in the EU and USA.
This package also supports using a proxy so you can keep your project API keys and API secrets confidential.
See examples below and in example.py
Install with
pip install amplitude-data-wrapper
Results from an existing chart
Get data from EU account by setting region=1
.
import amplitude_data_wrapper.analytics_api as amp
# without proxy
r = amp.get_chart(
api_key=api_key, secret=api_secret, chart_id=chart_id_eu, region=1
) # region 1 is EU
r.status_code
r.json() # returns data as json
Get data from US account by setting region=2
.
r = amp.get_chart(
api_key=api_key, secret=api_secret, chart_id=chart_id_eu, region=2
) # region 2 is USA
r.json() # returns data as json
Get data from EU account with a proxy by setting region and proxy using a dictionary.
# with proxy
proxies = {"http": "http://myproxy.example.org/method"}
r = amp.get_chart(api_key, api_secret, chart_id_eu, region=1, proxy=proxies)
r.status_code # print status code
Event segmentation lets you export events with segments and filters.
our_event_dict = {
"event_type": "pageview",
"group_by": [{"type": "event", "value": "app"}, {"type": "event", "value": "team"}],
}
data = amp.get_event_segmentation(
api_key=api_key,
secret=api_secret,
start="20220601",
end="20220602",
event=our_event_dict,
metrics="uniques",
interval=1,
limit=1000,
)
User search lets you search for a user with a specific Amplitude ID, Device ID, User ID, or User ID prefix.
user = amp.find_user(
user=example_id_eu,
api_key=api_key,
secret=api_secret,
region=1)
Delete user data with a deletion job
deleteme = amp.delete_user_data(
user["matches"][0]["amplitude_id"],
email=email,
api_key=api_key,
secret=api_secret,
region=1,
ignore_invalid_id=True,
delete_from_org=False,
)
tobe_deleted = amp.get_deletion_jobs(
start="2022-06-01",
end="2022-07-01",
api_key=api_key,
secret=api_secret,
region=1,
)
proxies = {"http": "http://myproxy.domain.org/path"}
file_path = "path-to/cohortdata.csv"
kull = amp.get_cohort(
api_key,
api_secret,
cohort_id,
filename=file_path,
props=1,
region=1,
proxy=proxies,
)
Export API - Export your project's event data
start = "20220601T00"
end = "20220601T01"
data = amp.export_project_data(
start=start,
end=end,
api_key=api_key,
secret=api_secret,
filename="path-to/projectdata_eu.zip",
region=1,
)
types = amp.get_all_event_types(
api_key=api_key,
secret=api_secret,
region=1)