This is a Singer tap that produces JSON-formatted data from the TikTok Marketing API following the Singer spec.
This tap:
- Pulls raw data from the TikTok Marketing API.
- Extracts the following resources from TikTok Marketing API for a single repository:
- Accounts - Endpoint: https://business-api.tiktok.com/open_api/v1.3/advertiser/info/
- Campaigns - Endpoint: https://ads.tiktok.com/open_api/v1.3/campaign/get/
- Adgroups - Endpoint: https://ads.tiktok.com/open_api/v1.3/adgroup/get/
- Ads - Endpoint: https://business-api.tiktok.com/open_api/v1.3/ad/get/
- Reporting - Endpoint: https://ads.tiktok.com/open_api/v1.3/report/integrated/get/
- Outputs the schema for each resource
- Incrementally pulls data based on the input state
The tap uses an access token provided by the TikTok Marketing API to make the calls to the API. The access token does not expire, but it'll become invalid if the advertiser cancels the authorization. An invalid access token cannot be renewed or refreshed. THis access token can be obtained by following the step-by-step instructions on the TikTok Marketing API Docs - Authorization and TikTok Marketing API Docs - Authentication.
The tap requires some fields to be completed in a config file in order to work. Currently the tap supports the fields:
- start_date: Date from which the tap starts extracting data. RFC3339 format.
- end_date: Date from which the tap ends extracting data. RFC3339 format. (Optional)
- user_agent: User agent that makes the API call.
- access_token: Access token for the TikTok Marketing API
- accounts: A string containing comma-separated values of account ids.
- request_timeout: The time for which request should wait to get response. It is an optional parameter and default value as 300 seconds.
- sandbox (string, optional): Whether to communication with tiktok-ads's sandbox or business account for this application. If you're not sure leave out. Defaults to false.
{
"start_date": "2019-01-01T00:00:00Z",
"end_date": "2020-01-01T00:00:00Z",
"user_agent": "tap-tiktok-ads <api_user_email@your_company.com>",
"access_token": "YOUR_ACCESS_TOKEN",
"accounts": "id1, id2, id3",
"sandbox": "<true|false>",
"request_timeout": 300
}
Clone this repository, and then install using setup.py. We recommend using a virtualenv:
> virtualenv -p python3 venv
> source venv/bin/activate
> python setup.py install
OR
> cd .../tap-tiktok-ads
> pip install .
The following dependent libraries were installed.
> pip install singer-python
> pip install singer-tools
> pip install target-stitch
> pip install target-json
Create your tap's config.json
file which should look like the following:
```json
{
"start_date": "2019-01-01T00:00:00Z",
"user_agent": "tap-tiktok-ads <api_user_email@your_company.com>",
"access_token": "YOUR_ACCESS_TOKEN",
"accounts": "id1, id2, id3",
"request_timeout": 300
}
```
Optionally, also create a `state.json` file. `currently_syncing` is an optional attribute used for identifying the last object to be synced in case the job is interrupted mid-stream. The next run would begin where the last job left off.
```json
{
"currently_syncing": "ad_insights",
"bookmarks": {
"accounts": "2020-04-06 10:52:54.000000Z",
"campaigns": "2021-08-10T06:56:51.000000Z",
"adgroups": "2021-08-10T06:56:51.000000Z",
"ads": "2021-08-09T09:11:54.000000Z",
"ad_insights": "2021-08-18T00:00:00.000000Z",
"ad_insights_by_age_and_gender": "2021-08-18T00:00:00.000000Z",
"ad_insights_by_country": "2021-08-18T00:00:00.000000Z",
"ad_insights_by_platform": "2021-08-18T00:00:00.000000Z"
}
}
```
Run the Tap in Discovery Mode. This creates a catalog.json for selecting objects/fields to integrate:
> tap-tiktok-ads --config config.json --discover > catalog.json
See the Singer docs on discovery mode here.
Run the Tap in Sync Mode (with catalog) and write out to state file
For Sync mode:
> tap-tiktok-ads --config tap_config.json --catalog catalog.json > state.json
> tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
To load to json files to verify outputs:
> tap-tiktok-ads --config tap_config.json --catalog catalog.json | target-json > state.json
> tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
To pseudo-load to Stitch Import API with dry run:
> tap-tiktok-ads --config tap_config.json --catalog catalog.json | target-stitch --config target_config.json --dry-run > state.json
> tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
While developing the Linkedin Ads tap, the following utilities were run in accordance with Singer.io best practices: Pylint to improve code quality
> pylint tap_<tap_name> --disable 'broad-except,chained-comparison,empty-docstring,fixme,invalid-name,line-too-long,missing-class-docstring,missing-function-docstring,missing-module-docstring,no-else-raise,no-else-return,too-few-public-methods,too-many-argument
Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)
To check the tap and verify working:
> tap-tiktok-ads --config tap_config.json --catalog catalog.json | singer-check-tap > state.json
> tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
Check tap resulted in the following:
The output is valid.
It contained 12135 messages for 8 streams.
8 schema messages
11593 record messages
534 state messages
Details by stream:
+-------------------------------+---------+---------+
| stream | records | schemas |
+-------------------------------+---------+---------+
| advertisers | 1 | 1 |
| campaigns | 23 | 1 |
| adgroups | 29 | 1 |
| ads | 67 | 1 |
| ad_insights | 955 | 1 |
| ad_insights_by_age_and_gender | 6908 | 1 |
| ad_insights_by_country | 1415 | 1 |
| ad_insights_by_platform | 2195 | 1 |
+-------------------------------+---------+---------+
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