tap-linkedin-ads

LinkedInAds tap class.

Built with the Meltano Singer SDK.

Capabilities

• catalog
• state
• discover
• about
• stream-maps
• schema-flattening
• batch

Settings

Setting	Required	Default	Description
access_token	False	None	The token to authenticate against the API service
oauth_credentials	False	None	LinkedIn Ads OAuth Credentials
oauth_credentials.refresh_token	False	None	LinkedIn Ads Refresh Token
oauth_credentials.client_id	False	None	LinkedIn Ads Client ID
oauth_credentials.client_secret	False	None	LinkedIn Ads Client Secret
start_date	True	None	The earliest record date to sync
end_date	False	2024-10-23T22:57:56.958248+00:00	The latest record date to sync
user_agent	False	tap-linkedin-ads <api_user_email@your_company.com>	API ID
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.
faker_config	False	None	Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an addtional dependency (through the singer-sdk faker extra or directly).
faker_config.seed	False	None	Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator
faker_config.locale	False	None	One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization
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
batch_config.encoding	False	None	Specifies the format and compression of the batch files.
batch_config.encoding.format	False	None	Format to use for batch files.
batch_config.encoding.compression	False	None	Compression format to use for batch files.
batch_config.storage	False	None	Defines the storage layer to use when writing batch files
batch_config.storage.root	False	None	Root path to use when writing batch files.
batch_config.storage.prefix	False	None	Prefix to use when writing batch files.

A full list of supported settings and capabilities is available by running: tap-linkedin-ads --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

The tap requires a LinkedInAds OAuth 2.0 access token to make API requests

The access token requires the following permissions:

r_ads: read ads rw_ads: read-write ads r_ads_reporting: read ads reporting

Access tokens expire after 60 days and require a user to manually authenticate again. See the LinkedInAds API docs for more info.

Usage

AdAnalytics API Column Limitation

The AdAnalytics endpoint in the LinkedInAds API can call up to 20 columns at a time, we can create child classes which have 20 columns in them, we can merge their output with get records function.

Elastic License 2.0

The licensor grants you a non-exclusive, royalty-free, worldwide, non-sublicensable, non-transferable license to use, copy, distribute, make available, and prepare derivative works of the software.

Executing the Tap Directly

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

Developer Resources

Follow these instructions to contribute to this project.

This project uses parent-child streams. Learn more about them here.

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-linkedin-ads CLI interface directly using poetry run:

poetry run tap-linkedin-ads --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-linkedin-ads
meltano install tap-linkedin-ads

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-linkedin-ads --version
# OR run a test `elt` pipeline:
meltano elt tap-linkedin-ads 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.