Drip integration
Drip data, in your warehouse.
A Python asset calls the Drip API. Bruin handles materialization and incremental loads.
"""@bruin
name: raw.drip
connection: snowflake
materialization:
type: table
strategy: merge
columns:
- name: id
primary_key: true
secrets:
- key: drip
inject_as: API_KEY
@bruin"""
import os, requests
BASE_URL = "https://…" # Drip's API
def materialize():
key = os.environ["API_KEY"]
resp = requests.get(f"{BASE_URL}/records",
headers={"Authorization": key})
return resp.json() # Bruin loads and merges the rows$ bruin run assets/raw/drip.py
- materialize · Drip API
- load · snowflake raw.dripmerged on id
- not_null · id
Loaded and checked.
How it connects
Connected in three steps.
Ecommerce marketing automation platform designed for online stores with advanced segmentation and personalization.
- 01
Store the Drip API key as a Bruin secret.
- 02
A Python asset calls the API and returns rows.
- 03
Bruin handles materialization and the incremental strategy, then runs your checks.
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about Drip.
Does Bruin connect to Drip?
Yes, through the Drip API: a Python asset calls it and returns rows, and Bruin handles materialization, the incremental strategy and the checks. Or share test credentials and we build a dedicated connector within 7 days, or build it yourself and contribute it to ingestr.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Drip?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.