meltano-tap-linkedin-ads


Namemeltano-tap-linkedin-ads JSON
Version 0.0.1a2 PyPI version JSON
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Summary`tap-linkedin-ads` is a Singer tap for linkedin, built with the Meltano SDK for Singer Taps.
upload_time2023-05-31 17:01:54
maintainer
docs_urlNone
authorMeltano
requires_python>=3.7.1,<3.12
licenseElastic-2.0
keywords elt linkedin
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            # `tap-linkedin-ads`

Singer tap for extracting data from the LinkedIn Ads Marketing API.

Built with the [Meltano Singer SDK](https://sdk.meltano.com).

## Capabilities

* `catalog`
* `state`
* `discover`
* `about`
* `stream-maps`
* `schema-flattening`

## Settings

| Setting             | Required | Default | Description |
|:--------------------|:--------:|:-------:|:------------|
| access_token        | True     | None    | The token to authenticate against the API service |
| start_date          | True     | None    | The earliest record date to sync |
| end_date            | False    | 2023-05-09 02:04:18.151589 | The latest record date to sync |
| user_agent          | False    | tap-linkedin-ads <api_user_email@your_company.com> | API ID      |
| api_version         | False    | 202207  | LinkedInAds API Version |
| accounts            | True     | None    | LinkedInAds Account ID |
| campaign            | True     | None    | LinkedInAds Campaign ID |
| owner               | True     | None    | LinkedInAds Owner ID |
| stream_maps         | False    | None    | Config object for stream maps capability. For more information check out [Stream Maps](https://sdk.meltano.com/en/latest/stream_maps.html). |
| 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. |

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


### Owner

The `owner` setting is required for pulling data from the VideoAds endpoint. You can find the owner ID by making a
request to the adAccounts endpoint:

 https://api.linkedin.com/rest/adAccounts?q=search&start=0&count=10

 The owner ID can be found in the response under "reference": "urn:li:organization:`{OWNER}`"


## Installation

```bash
pipx install git+https://github.com/MeltanoLabs/tap-linkedin-ads.git@main
```
### Authentication

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](https://learn.microsoft.com/en-us/linkedin/shared/authentication/postman-getting-started) 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.

### SDK X-Restli-Protocol Limitation

The creatives endpoint requires X-Restli-Protocol to be set to 2.0.0. The request URL for tap-linkedin-ads uses parentheses ‘()’. '(' and ')' are typically
encoded in a request URL, but are not when the X-Restli-Protocol is 2.0.0. An SDK update for expanded escape characters is currently WIP [link github issue]


### Metadata Columns

- `add_metadata_columns:` Setting this config to 'true' adds the `_SDC_BATCHED_AT`, `_SDC_DELETED_AT` and `_SDC_EXTRACTED_AT` metadata columns to the loaded tables

### 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

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

## Contributing

This project uses parent-child streams. Learn more about them [here](https://gitlab.com/meltano/sdk/-/blob/main/docs/parent_streams.md).

### Initialize your Development Environment

```bash
pipx install poetry
poetry install
```

### Create and Run Tests

Create tests within the `lib_tap_linkedin_ads_sdk/tests` subfolder and
  then run:

```bash
poetry run pytest
```

You can also test the `tap-linkedin-ads` CLI interface directly using `poetry run`:

```bash
poetry run tap-linkedin-ads --help
```

### Testing with [Meltano](https://www.meltano.com)

_**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:

```bash
# 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:

```bash
# 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](https://sdk.meltano.com/en/latest/dev_guide.html) for more instructions on how to use the SDK to
develop your own taps and targets.


            

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For more information check out [Stream Maps](https://sdk.meltano.com/en/latest/stream_maps.html). |\n| stream_map_config   | False    | None    | User-defined config values to be used within map expressions. |\n| flattening_enabled  | False    | None    | 'True' to enable schema flattening and automatically expand nested properties. |\n| flattening_max_depth| False    | None    | The max depth to flatten schemas. |\n\nA full list of supported settings and capabilities is available by running: `tap-linkedin-ads --about`\n\n\n### Owner\n\nThe `owner` setting is required for pulling data from the VideoAds endpoint. 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