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ETL module for RD Station API database-optimized DataFrame processing

Project description

RD Station API Helper

A Python library for interacting with the RD Station API, providing ORM models, authentication, segmentation, contact, and event retrieval, as well as batch and parallel data fetching utilities.

PyPI version Last Commit Issues License

Features

  • RD Station API v2 support: Query segmentations, contacts, leads, and conversion events
  • ORM Models: SQLAlchemy models for RD Station entities (Segmentation, Contact, Lead, etc.)
  • Batch & Parallel Fetching: Utilities for efficient data extraction
  • Robust Error Handling: Comprehensive error handling and retry logic
  • Logging & Config Utilities: Easy configuration and logging
  • Type Hints: Full type hint support for better IDE experience

Installation

pip install rdstation-api-helper

Quick Start

1. Set up credentials

Create a secrets/rdstation_secret.json file with your RD Station API credentials:

{
  "RDSTATION_CLIENT_ID": "YOUR_CLIENT_ID",
  "RDSTATION_CLIENT_SECRET": "YOUR_CLIENT_SECRET",
  "RDSTATION_REFRESH_TOKEN": "YOUR_REFRESH_TOKEN"
}

2. Basic usage

from rdstation_api_helper import RDStationAPI

# Initialize API client (loads credentials from environment or .env)
client = RDStationAPI()

# Fetch all segmentations
segmentations = client.get_segmentations()

# Fetch contacts for each segmentation
contacts = client.get_segmentation_contacts("segmentations_id")

# Fetch contact data for a specific UUID
status_code, contact_data = client.get_contact_data("contact_uuid")

# Fetch conversion events for a contact
status_code, events = client.get_contact_events("some-contact_uuid")

ORM Models

The package provides SQLAlchemy ORM models for RD Station entities, which can be used for database integration.

  • Segmentation
  • SegmentationContact
  • Contact
  • ContactFunnelStatus
  • ConversionEvents
  • Lead

Examples

Check the examples/ directory for comprehensive usage examples:

  • basic_usage.py - Simple report extraction

Parallel & Batch Fetching

The library provides a parallel_decorator utility to easily parallelize API calls for batch data fetching. This is used in the following methods of RDStationAPI:

  • get_contact_data_parallel(uuids: list[str])
  • get_contact_events_parallel(uuids: list[str])
  • get_contact_funnel_status_parallel(uuids: list[str])

These methods accept a list of UUIDs and fetch the corresponding data in parallel, handling rate limits and transient errors automatically. The decorator coordinates retries for 429/5xx/network errors and ensures each result is tagged with its UUID.

Usage Example

from rdstation_api_helper import RDStationAPI

client = RDStationAPI()
uuids = ["uuid1", "uuid2", "uuid3"]

# Fetch contact data in parallel
_, contact_results = client.get_contact_data_parallel(uuids)

# Fetch contact events in parallel
_, events_results = client.get_contact_events_parallel(uuids)

# Fetch funnel status in parallel
_, funnel_results = client.get_contact_funnel_status_parallel(uuids)

print(contact_results)
print(events_results)
print(funnel_results)

Features:

  • Automatic parallelization with configurable worker count
  • Handles 429/5xx/network errors with coordinated retries
  • Appends the UUID to each result for traceability

See the rdstation_api_helper/utils.py source for details.

Requirements

  • Python 3.10-3.12
  • pandas >= 2.0.0
  • python-dotenv >= 1.0.0
  • requests >= 2.32.4
  • tqdm >= 4.65.0

License

This project is licensed under the GPL License. See LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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