{"id":22793302,"url":"https://github.com/fivetran/dbt_pinterest_source","last_synced_at":"2025-10-07T06:13:17.060Z","repository":{"id":40495791,"uuid":"283548256","full_name":"fivetran/dbt_pinterest_source","owner":"fivetran","description":"Fivetran data models for Pinterest Ads built using dbt.","archived":false,"fork":false,"pushed_at":"2025-10-01T18:46:51.000Z","size":2070,"stargazers_count":2,"open_issues_count":3,"forks_count":10,"subscribers_count":43,"default_branch":"main","last_synced_at":"2025-10-01T20:38:34.398Z","etag":null,"topics":["dbt","dbt-packages","fivetran","pinterest"],"latest_commit_sha":null,"homepage":"https://fivetran.github.io/dbt_pinterest_source/","language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fivetran.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-07-29T16:25:36.000Z","updated_at":"2025-10-01T18:46:56.000Z","dependencies_parsed_at":"2023-12-14T20:24:36.466Z","dependency_job_id":"ce0205b3-4504-499c-bcd5-a4a355cae6a8","html_url":"https://github.com/fivetran/dbt_pinterest_source","commit_stats":null,"previous_names":[],"tags_count":21,"template":false,"template_full_name":null,"purl":"pkg:github/fivetran/dbt_pinterest_source","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_pinterest_source","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_pinterest_source/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_pinterest_source/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_pinterest_source/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fivetran","download_url":"https://codeload.github.com/fivetran/dbt_pinterest_source/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_pinterest_source/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278729059,"owners_count":26035571,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dbt","dbt-packages","fivetran","pinterest"],"created_at":"2024-12-12T03:19:06.489Z","updated_at":"2025-10-07T06:13:17.054Z","avatar_url":"https://github.com/fivetran.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [DEPRECATED] Pinterest Ads Source dbt Package\n\n\u003e _This package has been archived and is no longer maintained. Use [`dbt_pinterest`](https://github.com/fivetran/dbt_pinterest) instead, which now contains all models previously found here._\n\n\u003cp align=\"left\"\u003e\n    \u003ca alt=\"License\"\n        href=\"https://github.com/fivetran/dbt_pinterest_source/blob/main/LICENSE\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/License-Apache%202.0-blue.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"dbt-core\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/dbt_Core™_version-\u003e=1.3.0_\u003c2.0.0-orange.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"Maintained?\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Maintained%3F-no-green.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"PRs\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Contributions-closed-blueviolet\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## What does this dbt package do?\n- Materializes [Pinterest Ads staging tables](https://fivetran.github.io/dbt_pinterest_source/#!/overview/pinterest_source/models/?g_v=1\u0026g_e=seeds) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/pinterest-ads#schemainformation). These staging tables clean, test, and prepare your Pinterest Ads data from [Fivetran's connector](https://fivetran.com/docs/applications/pinterest-ads) for analysis by doing the following:\n  - Name columns for consistency across all packages and for easier analysis\n  - Adds freshness tests to source data\n    \u003e dbt Core \u003e= 1.9.6 is required to run freshness tests out of the box. See other options [here](https://github.com/fivetran/dbt_pinterest_source/blob/main/CHANGELOG.md#breaking-change-for-dbt-core--196).\n  - Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.\n- Generates a comprehensive data dictionary of your Pinterest data through the [dbt docs site](https://fivetran.github.io/dbt_pinterest_source/).\n- These tables are designed to work simultaneously with our [Pinterest Ads transformation package](https://github.com/fivetran/dbt_pinterest).\n\n## How do I use the dbt package?\n### Step 1: Prerequisites\nTo use this dbt package, you must have the following:\n- At least one Fivetran Pinterest Ads connection syncing data into your destination.\n- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.\n\n#### Databricks Dispatch Configuration\nIf you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.\n\n```yml\ndispatch:\n  - macro_namespace: dbt_utils\n    search_order: ['spark_utils', 'dbt_utils']\n```\n\n### Step 2: Install the package (skip if also using the `pinterest` transformation package or `ad_reporting` combo package)\nIf you  are **not** using the [Pinterest transformation package](https://github.com/fivetran/dbt_pinterest) or the [Ad Reporting combination package](https://github.com/fivetran/dbt_ad_reporting), include the following pinterest_source package version in your `packages.yml` file.\n\u003e TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.\n\n```yml\npackages:\n  - package: fivetran/pinterest_source\n    version: [\"\u003e=0.13.0\", \"\u003c0.14.0\"] # we recommend using ranges to capture non-breaking changes automatically\n```\n\n### Step 3: Define database and schema variables\nBy default, this package runs using your destination and the `pinterest` schema. If this is not where your Pinterest Ads data is (for example, if your pinterest schema is named `pinterest_fivetran`), add the following configuration to your root `dbt_project.yml` file:\n\n```yml\nvars:\n    pinterest_database: your_destination_name\n    pinterest_schema: your_schema_name \n```\n\n### Step 4: Enable/disable models and sources\nThis package takes into consideration that not every Pinterest account tracks `keyword` performance, and allows you to disable the corresponding functionality by adding the following variable configuration:\n\n```yml\nvars:\n    pinterest__using_keywords: False # Default = true\n```\n\nAdditionally, your Pinterest Ads connection may not sync every table that this package expects. If you do not have the `PIN_PROMOTION_TARGETING_REPORT`, `TARGETING_GEO`, or `TARGETING_GEO_REGION` tables synced, add the following variable to your root `dbt_project.yml` file:\n\n```yml\nvars:\n    pinterest__using_pin_promotion_targeting_report: false # Default is true\n    pinterest__using_targeting_geo: false # Default is true\n    pinterest__using_targeting_geo_region: false # Default is true\n```\n\n### (Optional) Step 5: Additional configurations\n\u003cdetails open\u003e\u003csummary\u003eExpand/Collapse details\u003c/summary\u003e\n\n#### Union multiple connections\nIf you have multiple pinterest ads connections in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `pinterest_ads_union_schemas` OR `pinterest_ads_union_databases` variables (cannot do both) in your root `dbt_project.yml` file:\n\n```yml\nvars:\n    pinterest_ads_union_schemas: ['pinterest_usa','pinterest_canada'] # use this if the data is in different schemas/datasets of the same database/project\n    pinterest_ads_union_databases: ['pinterest_usa','pinterest_canada'] # use this if the data is in different databases/projects but uses the same schema name\n```\n\n\u003e NOTE: The native `source.yml` connection set up in the package will not function when the union schema/database feature is utilized. Although the data will be correctly combined, you will not observe the sources linked to the package models in the Directed Acyclic Graph (DAG). This happens because the package includes only one defined `source.yml`.\n\nTo connect your multiple schema/database sources to the package models, follow the steps outlined in the [Union Data Defined Sources Configuration](https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source) section of the Fivetran Utils documentation for the union_data macro. This will ensure a proper configuration and correct visualization of connections in the DAG.\n\n#### Passing Through Additional Metrics\nBy default, this package will select `clicks`, `impressions`, `spend` (converted from `spend_in_micro_dollar`), `total_conversions`, `total_conversions_quantity`, and `total_conversions_value` (converted from `total_conversions_value_in_micro_dollar`) from the source reporting tables to store into the staging models. If you would like to pass through additional metrics to the staging models, add the below configurations to your `dbt_project.yml` file. These variables allow for the pass-through fields to be aliased (`alias`) if desired, but not required. Use the below format for declaring the respective pass-through variables:\n\n\u003e IMPORTANT: Make sure to exercise due diligence when adding metrics to these models. The metrics added by default (clicks, impressions, spend, total conversions, total conversions quantity, and total conversions value) have been vetted by the Fivetran team maintaining this package for accuracy. There are metrics included within the source reports, for example metric averages, which may be inaccurately represented at the grain for reports created in this package. You will want to ensure whichever metrics you pass through are indeed appropriate to aggregate at the respective reporting levels provided in this package.\n\n```yml\nvars:\n    pinterest__ad_group_report_passthrough_metrics:\n      - name: \"this_field\"\n    pinterest__advertiser_report_passthrough_metrics:\n      - name: \"unique_string_field\"\n        alias: \"field_id\"\n    pinterest__campaign_report_passthrough_metrics:\n      - name: \"that_field\"\n    pinterest__keyword_report_passthrough_metrics:\n      - name: \"other_id\"\n        alias: \"another_id\"\n    pinterest__pin_promotion_report_passthrough_metrics: \n      - name: \"new_custom_field\"\n        alias: \"custom_field\"\n    pinterest__pin_promotion_targeting_report_passthrough_metrics:\n      - name: \"new_field\"\n```\n\n#### Change the build schema\nBy default, this package builds the Pinterest Ads staging models (10 views, 10 tables) within a schema titled (`\u003ctarget_schema\u003e` + `_pinterest_source`) in your destination. If this is not where you would like your pinterest staging data to be written to, add the following configuration to your root `dbt_project.yml` file:\n\n```yml\nmodels:\n    pinterest_source:\n      +schema: my_new_schema_name # leave blank for just the target_schema\n```\n\n#### Change the source table references\nIf an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable. This is not available when running the package on multiple unioned connections.\n\u003e IMPORTANT: See this project's [`dbt_project.yml`](https://github.com/fivetran/dbt_pinterest_source/blob/main/dbt_project.yml) variable declarations to see the expected names.\n\n```yml\nvars:\n    pinterest_\u003cdefault_source_table_name\u003e_identifier: your_table_name \n```\n\n\u003c/details\u003e\n\n### (Optional) Step 6: Orchestrate your models with Fivetran Transformations for dbt Core™\n\u003cdetails\u003e\u003csummary\u003eExpand for more details\u003c/summary\u003e\n\u003cbr\u003e\n\nFivetran offers the ability for you to orchestrate your dbt project through [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt). Learn how to set up your project for orchestration through Fivetran in our [Transformations for dbt Core™ setup guides](https://fivetran.com/docs/transformations/dbt#setupguide).\n\n\u003c/details\u003e\n\n## Does this package have dependencies?\nThis dbt package is dependent on the following dbt packages. These dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.\n\u003e IMPORTANT: If you have any of these dependent packages in your own `packages.yml` file, we highly recommend that you remove them from your root `packages.yml` to avoid package version conflicts.\n\n```yml\npackages:\n    - package: fivetran/fivetran_utils\n      version: [\"\u003e=0.4.0\", \"\u003c0.5.0\"]\n\n    - package: dbt-labs/dbt_utils\n      version: [\"\u003e=1.0.0\", \"\u003c2.0.0\"]\n\n    - package: dbt-labs/spark_utils\n      version: [\"\u003e=0.3.0\", \"\u003c0.4.0\"]\n```\n\n## How is this package maintained and can I contribute?\n### Package Maintenance\nThe Fivetran team maintaining this package _only_ maintains the latest version of the package. We highly recommend that you stay consistent with the [latest version](https://hub.getdbt.com/fivetran/pinterest_source/latest/) of the package and refer to the [CHANGELOG](https://github.com/fivetran/dbt_pinterest_source/blob/main/CHANGELOG.md) and release notes for more information on changes across versions.\n\n### Contributions\nA small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions.\n\nWe highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) on the best workflow for contributing to a package.\n\n#### Contributors\nWe thank [everyone](https://github.com/fivetran/dbt_pinterest_source/graphs/contributors) who has taken the time to contribute. Each PR, bug report, and feature request has made this package better and is truly appreciated.\n\nA special thank you to [Seer Interactive](https://www.seerinteractive.com/?utm_campaign=Fivetran%20%7C%20Models\u0026utm_source=Fivetran\u0026utm_medium=Fivetran%20Documentation), who we closely collaborated with to introduce native conversion support to our Ad packages.\n\n## Are there any resources available?\n- If you have questions or want to reach out for help, see the [GitHub Issue](https://github.com/fivetran/dbt_pinterest_source/issues/new/choose) section to find the right avenue of support for you.\n- If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffivetran%2Fdbt_pinterest_source","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffivetran%2Fdbt_pinterest_source","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffivetran%2Fdbt_pinterest_source/lists"}