tap-shopify

tap-shopify is a Singer tap for Shopify that uses the GraphQL API. This tap is currently in beta. The schema definition is dynamic and retrieves all nested fields that are not connections to other objects. However, it may require adjustments. Since we don’t have a real use case for the tap yet, we couldn’t determine the best approach. We welcome contributions and feedback

Built with the Meltano Tap SDK for Singer Taps.

Installation

Install from GitHub:

pipx install git+https://github.com/sehnem/tap-shopify.git@master

Configuration

Accepted Config Options

Capabilities

catalog
state
discover
about
stream-maps
schema-flattening
batch

Settings

Setting	Required	Default	Description
auth_token	True	None	The token to authenticate against the API service
shop	True	None	The shopify shop name
api_version	False	2023-04	The version of the API to use
start_date	False	None	The earliest record date to sync
bulk	False	false	To use the bulk API or not
stream_maps	False	None	Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config	False	None	User-defined config values to be used within map expressions.
flattening_enabled	False	None	'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth	False	None	The max depth to flatten schemas.
batch_config	False	None

A full list of supported settings and capabilities is available by running: tap-shopify --about

A full list of supported settings and capabilities for this tap is available by running:

tap-shopify --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Source Authentication and Authorization

To get the access token for your store use the folowing guide.

Usage

You can easily run tap-shopify by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-shopify --version
tap-shopify --help
tap-shopify --config CONFIG --discover > ./catalog.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

pipx install poetry
poetry install

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

You can also test the tap-shopify CLI interface directly using poetry run:

poetry run tap-shopify --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-shopify
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-shopify --version
# OR run a test `elt` pipeline:
meltano elt tap-shopify target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.

sehnem / tap-shopify

readme