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.
Install from GitHub:
pipx install git+https://github.com/sehnem/tap-shopify.git@master
catalog
state
discover
about
stream-maps
schema-flattening
batch
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
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.
To get the access token for your store use the folowing guide.
You can easily run tap-shopify
by itself or in a pipeline using Meltano.
tap-shopify --version
tap-shopify --help
tap-shopify --config CONFIG --discover > ./catalog.json
Follow these instructions to contribute to this project.
pipx install poetry
poetry install
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
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.