Apideck Python

Apideck Python SDK Skill

Overview

The Apideck Unified API provides a single integration layer to connect with 200+ third-party services across accounting, CRM, HRIS, file storage, ATS, e-commerce, and more. The official Python SDK (apideck-unify) provides typed clients for all unified APIs.

Installation

pip install apideck-unify

Requires Python 3.9+. Dependencies: httpx, pydantic.

IMPORTANT RULES

• ALWAYS use the apideck-unify SDK. DO NOT make raw httpx/requests calls to the Apideck API.
• ALWAYS pass api_key, app_id, and consumer_id when initializing the client.
• ALWAYS set the APIDECK_API_KEY environment variable rather than hardcoding API keys.
• USE service_id to specify which downstream connector to use (e.g., "salesforce", "quickbooks"). If a consumer has multiple connections for an API, service_id is required.
• USE context managers (with / async with) for client lifecycle management.
• USE the fields parameter to request only the columns you need.
• USE the filter_ parameter (note the trailing underscore) to narrow results server-side.
• ALWAYS handle errors with try/except using models.ApideckError as the base class.

Quick Start

from apideck_unify import Apideck
import os

with Apideck(
    api_key=os.getenv("APIDECK_API_KEY", ""),
    app_id="your-app-id",
    consumer_id="your-consumer-id",
) as apideck:
    res = apideck.crm.contacts.list(
        service_id="salesforce",
        limit=20,
        filter_={"email": "john@example.com"},
    )
    while res is not None:
        for contact in res.data:
            print(contact.name, contact.emails)
        res = res.next()

SDK Patterns

Client Setup

from apideck_unify import Apideck
import os

with Apideck(
    api_key=os.getenv("APIDECK_API_KEY", ""),
    app_id="your-app-id",
    consumer_id="your-consumer-id",
) as apideck:
    # Make API calls here
    pass

The consumer_id identifies the end-user whose connections are being used. In multi-tenant apps, set this per-request or per-user session.

CRUD Operations

All resources follow the same pattern: apideck.{api}.{resource}.{operation}().

import apideck_unify
from apideck_unify import Apideck
import os

with Apideck(
    api_key=os.getenv("APIDECK_API_KEY", ""),
    app_id="your-app-id",
    consumer_id="your-consumer-id",
) as apideck:

    # LIST - retrieve multiple records
    res = apideck.crm.contacts.list(
        service_id="salesforce",
        limit=20,
        filter_={"email": "john@example.com", "company_id": "12345"},
        sort={"by": apideck_unify.ContactsSortBy.CREATED_AT, "direction": apideck_unify.SortDirection.DESC},
        fields="id,name,email",
    )

    # CREATE - create a new record
    res = apideck.crm.contacts.create(
        service_id="salesforce",
        first_name="John",
        last_name="Doe",
        emails=[{"email": "john@example.com", "type": apideck_unify.EmailType.PRIMARY}],
        phone_numbers=[{"number": "+1234567890", "type": apideck_unify.PhoneNumberType.PRIMARY}],
    )
    print(res.create_contact_response)

    # GET - retrieve a single record
    res = apideck.crm.contacts.get(id="contact_123", service_id="salesforce")

    # UPDATE - modify an existing record
    res = apideck.crm.contacts.update(id="contact_123", service_id="salesforce", first_name="Jane")

    # DELETE - remove a record
    res = apideck.crm.contacts.delete(id="contact_123", service_id="salesforce")

Pagination

Use the .next() method on response objects for cursor-based pagination:

res = apideck.accounting.invoices.list(service_id="quickbooks", limit=50)

while res is not None:
    for invoice in res.data:
        print(invoice.number, invoice.total)
    res = res.next()

Async Support

Every sync method has an _async counterpart. Use async with as context manager:

import asyncio
from apideck_unify import Apideck
import os

async def main():
    async with Apideck(
        api_key=os.getenv("APIDECK_API_KEY", ""),
        app_id="your-app-id",
        consumer_id="your-consumer-id",
    ) as apideck:
        res = await apideck.crm.contacts.list_async(
            service_id="salesforce",
            limit=20,
        )
        while res is not None:
            for contact in res.data:
                print(contact.name)
            res = res.next()

asyncio.run(main())

Error Handling

from apideck_unify import Apideck, models

try:
    res = apideck.crm.contacts.get(id="invalid", service_id="salesforce")
except models.BadRequestResponse as e:
    print("Bad request:", e.message, e.status_code)
except models.UnauthorizedResponse as e:
    print("Invalid API key or missing credentials")
except models.NotFoundResponse as e:
    print("Record not found")
except models.PaymentRequiredResponse as e:
    print("API limit reached")
except models.UnprocessableResponse as e:
    print("Validation error:", e.message)
except models.ApideckError as e:
    print(f"API error {e.status_code}: {e.message}")

All exceptions inherit from models.ApideckError with properties: message, status_code, headers, body, raw_response.

Common Parameters

Pass-Through Parameters

# Query pass-through
res = apideck.accounting.invoices.list(
    service_id="quickbooks",
    pass_through={"search": "overdue"},
)

# Body pass-through for connector-specific fields
res = apideck.crm.contacts.create(
    service_id="salesforce",
    first_name="John",
    last_name="Doe",
    pass_through=[{
        "service_id": "salesforce",
        "operation_id": "contactsAdd",
        "extend_object": {"custom_sf_field__c": "value"},
    }],
)

Retry Configuration

from apideck_unify import Apideck
from apideck_unify.utils import BackoffStrategy, RetryConfig

with Apideck(
    api_key=os.getenv("APIDECK_API_KEY", ""),
    app_id="your-app-id",
    consumer_id="your-consumer-id",
    retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
) as apideck:
    pass

API Namespaces