Module airbyte_agent_sdk.connectors.linkedin_ads.models

Pydantic models for linkedin-ads connector.

This module contains Pydantic models used for authentication configuration and response envelope types.

Classes

Account(**data: Any) : LinkedIn ad account object

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

change_audit_stamps: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountChangeauditstamps | None : The type of the None singleton.

currency: str | None : The type of the None singleton.

id: int | None : The type of the None singleton.

model_config : The type of the None singleton.

name: str | None : The type of the None singleton.

notified_on_campaign_optimization: bool | None : The type of the None singleton.

notified_on_creative_approval: bool | None : The type of the None singleton.

notified_on_creative_rejection: bool | None : The type of the None singleton.

notified_on_end_of_campaign: bool | None : The type of the None singleton.

notified_on_new_features_enabled: bool | None : The type of the None singleton.

reference: str | None : The type of the None singleton.

serving_statuses: list[str] | None : The type of the None singleton.

status: str | None : The type of the None singleton.

test: bool | None : The type of the None singleton.

type_: str | None : The type of the None singleton.

version: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountVersion | None : The type of the None singleton.

AccountChangeauditstamps(**data: Any) : Creation and last modification audit stamps

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

created: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountChangeauditstampsCreated | None : The type of the None singleton.

last_modified: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountChangeauditstampsLastmodified | None : The type of the None singleton.

model_config : The type of the None singleton.

AccountChangeauditstampsCreated(**data: Any) : Nested schema for AccountChangeauditstamps.created

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

actor: str | None : The type of the None singleton.

model_config : The type of the None singleton.

time: int | None : The type of the None singleton.

AccountChangeauditstampsLastmodified(**data: Any) : Nested schema for AccountChangeauditstamps.lastModified

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

actor: str | None : The type of the None singleton.

model_config : The type of the None singleton.

time: int | None : The type of the None singleton.

AccountCreateRequest(**data: Any) : Fields for creating an ad account

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

currency: str | None : The type of the None singleton.

model_config : The type of the None singleton.

name: str : The type of the None singleton.

reference: str | None : The type of the None singleton.

test: bool | None : The type of the None singleton.

type_: str : The type of the None singleton.

AccountUser(**data: Any) : LinkedIn ad account user object

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

account: str | None : The type of the None singleton.

change_audit_stamps: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUserChangeauditstamps | None : The type of the None singleton.

model_config : The type of the None singleton.

role: str | None : The type of the None singleton.

user: str | None : The type of the None singleton.

AccountUserChangeauditstamps(**data: Any) : Creation and last modification audit stamps

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

created: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUserChangeauditstampsCreated | None : The type of the None singleton.

last_modified: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUserChangeauditstampsLastmodified | None : The type of the None singleton.

model_config : The type of the None singleton.

AccountUserChangeauditstampsCreated(**data: Any) : Nested schema for AccountUserChangeauditstamps.created

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

actor: str | None : The type of the None singleton.

model_config : The type of the None singleton.

time: int | None : The type of the None singleton.

AccountUserChangeauditstampsLastmodified(**data: Any) : Nested schema for AccountUserChangeauditstamps.lastModified

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

actor: str | None : The type of the None singleton.

model_config : The type of the None singleton.

time: int | None : The type of the None singleton.

AccountUserUpsertRequest(**data: Any) : Role grant for an ad account user

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

model_config : The type of the None singleton.

role: str : The type of the None singleton.

AccountUsersList(**data: Any) : Paginated list of account users

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

elements: list[airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUser] | None : The type of the None singleton.

model_config : The type of the None singleton.

paging: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUsersListPaging | None : The type of the None singleton.

AccountUsersListPaging(**data: Any) : Nested schema for AccountUsersList.paging

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

count: int | None : The type of the None singleton.

links: list[airbyte_agent_sdk.connectors.linkedin_ads.models.AccountUsersListPagingLinksItem] | None : The type of the None singleton.

model_config : The type of the None singleton.

start: int | None : The type of the None singleton.

total: int | None : The type of the None singleton.

AccountUsersListPagingLinksItem(**data: Any) : Nested schema for AccountUsersListPaging.links_item

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

href: str | None : The type of the None singleton.

model_config : The type of the None singleton.

rel: str | None : The type of the None singleton.

type_: str | None : The type of the None singleton.

AccountUsersListResultMeta(**data: Any) : Metadata for account_users.Action.LIST operation

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

count: int | None : The type of the None singleton.

model_config : The type of the None singleton.

start: int | None : The type of the None singleton.

total: int | None : The type of the None singleton.

AccountUsersSearchData(**data: Any) : Search result data for account_users entity.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

account: str | None : The account associated with the user

created: str | None : The date and time when the user account was created

last_modified: str | None : The date and time when the user account was last modified

model_config : The type of the None singleton.

role: str | None : The role assigned to the user in the account

user: str | None : The user details including name, email, etc.

AccountVersion(**data: Any) : Version information

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

model_config : The type of the None singleton.

version_tag: str | None : The type of the None singleton.

AccountsCreateResultMeta(**data: Any) : Metadata for accounts.Action.CREATE operation

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

created_id: str | None : The type of the None singleton.

model_config : The type of the None singleton.

AccountsList(**data: Any) : Paginated list of ad accounts

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

elements: list[airbyte_agent_sdk.connectors.linkedin_ads.models.Account] | None : The type of the None singleton.

metadata: airbyte_agent_sdk.connectors.linkedin_ads.models.AccountsListMetadata | None : The type of the None singleton.

model_config : The type of the None singleton.

AccountsListMetadata(**data: Any) : Nested schema for AccountsList.metadata

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

model_config : The type of the None singleton.

next_page_token: str | None : The type of the None singleton.

AccountsListResultMeta(**data: Any) : Metadata for accounts.Action.LIST operation

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

model_config : The type of the None singleton.

next_page_token: str | None : The type of the None singleton.

AccountsSearchData(**data: Any) : Search result data for accounts entity.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

created: str | None : The timestamp indicating when the account was created.

currency: str | None : The currency used for financial transactions in the account.

id: int | None : The unique identifier for the account.

last_modified: str | None : The timestamp of the last modification made to the account.

model_config : The type of the None singleton.

name: str | None : The name of the account.

notified_on_campaign_optimization: bool | None : Flag for notifications on campaign optimization.

notified_on_creative_approval: bool | None : Flag for notifications on creative approval.

notified_on_creative_rejection: bool | None : Flag for notifications on creative rejection.

notified_on_end_of_campaign: bool | None : Flag for notifications on the end of campaign.

notified_on_new_features_enabled: bool | None : Flag for notifications on new features being enabled.

reference: str | None : A reference identifier for the account.

serving_statuses: list[typing.Any] | None : The serving statuses associated with the account.

status: str | None : The status of the account.

test: bool | None : Flag indicating if the account is in a test mode.

type_: str | None : The type or category of the account.

version: dict[str, typing.Any] | None : The version information related to the account.

AdAnalyticsRecord(**data: Any) : Ad analytics data record with performance metrics

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

action_clicks: int | None : The type of the None singleton.

ad_unit_clicks: int | None : The type of the None singleton.

approximate_member_reach: int | None : The type of the None singleton.

card_clicks: int | None : The type of the None singleton.

card_impressions: int | None : The type of the None singleton.

clicks: int | None : The type of the None singleton.

comment_likes: int | None : The type of the None singleton.

comments: int | None : The type of the None singleton.

company_page_clicks: int | None : The type of the None singleton.

conversion_value_in_local_currency: str | None : The type of the None singleton.

cost_in_local_currency: str | None : The type of the None singleton.

cost_in_usd: str | None : The type of the None singleton.

date_range: airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsRecordDaterange | None : The type of the None singleton.

document_completions: int | None : The type of the None singleton.

document_first_quartile_completions: int | None : The type of the None singleton.

document_midpoint_completions: int | None : The type of the None singleton.

document_third_quartile_completions: int | None : The type of the None singleton.

download_clicks: int | None : The type of the None singleton.

external_website_conversions: int | None : The type of the None singleton.

external_website_post_click_conversions: int | None : The type of the None singleton.

external_website_post_view_conversions: int | None : The type of the None singleton.

follows: int | None : The type of the None singleton.

full_screen_plays: int | None : The type of the None singleton.

impressions: int | None : The type of the None singleton.

job_applications: int | None : The type of the None singleton.

job_apply_clicks: int | None : The type of the None singleton.

landing_page_clicks: int | None : The type of the None singleton.

lead_generation_mail_contact_info_shares: int | None : The type of the None singleton.

lead_generation_mail_interested_clicks: int | None : The type of the None singleton.

likes: int | None : The type of the None singleton.

model_config : The type of the None singleton.

one_click_lead_form_opens: int | None : The type of the None singleton.

one_click_leads: int | None : The type of the None singleton.

opens: int | None : The type of the None singleton.

other_engagements: int | None : The type of the None singleton.

pivot_values: list[str] | None : The type of the None singleton.

post_click_job_applications: int | None : The type of the None singleton.

post_click_job_apply_clicks: int | None : The type of the None singleton.

post_click_registrations: int | None : The type of the None singleton.

post_view_job_applications: int | None : The type of the None singleton.

post_view_job_apply_clicks: int | None : The type of the None singleton.

post_view_registrations: int | None : The type of the None singleton.

reactions: int | None : The type of the None singleton.

registrations: int | None : The type of the None singleton.

sends: int | None : The type of the None singleton.

shares: int | None : The type of the None singleton.

talent_leads: int | None : The type of the None singleton.

text_url_clicks: int | None : The type of the None singleton.

total_engagements: int | None : The type of the None singleton.

valid_work_email_leads: int | None : The type of the None singleton.

video_completions: int | None : The type of the None singleton.

video_first_quartile_completions: int | None : The type of the None singleton.

video_midpoint_completions: int | None : The type of the None singleton.

video_starts: int | None : The type of the None singleton.

video_third_quartile_completions: int | None : The type of the None singleton.

video_views: int | None : The type of the None singleton.

AdAnalyticsRecordDaterange(**data: Any) : Date range for this analytics record

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

end: airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsRecordDaterangeEnd | None : The type of the None singleton.

model_config : The type of the None singleton.

start: airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsRecordDaterangeStart | None : The type of the None singleton.

AdAnalyticsRecordDaterangeEnd(**data: Any) : Nested schema for AdAnalyticsRecordDaterange.end

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

day: int | None : The type of the None singleton.

model_config : The type of the None singleton.

month: int | None : The type of the None singleton.

year: int | None : The type of the None singleton.

AdAnalyticsRecordDaterangeStart(**data: Any) : Nested schema for AdAnalyticsRecordDaterange.start

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

day: int | None : The type of the None singleton.

model_config : The type of the None singleton.

month: int | None : The type of the None singleton.

year: int | None : The type of the None singleton.

AdAnalyticsResponse(**data: Any) : Ad analytics API response

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

elements: list[airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsRecord] | None : The type of the None singleton.

model_config : The type of the None singleton.

paging: airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsResponsePaging | None : The type of the None singleton.

AdAnalyticsResponsePaging(**data: Any) : Nested schema for AdAnalyticsResponse.paging

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

count: int | None : The type of the None singleton.

links: list[airbyte_agent_sdk.connectors.linkedin_ads.models.AdAnalyticsResponsePagingLinksItem] | None : The type of the None singleton.

model_config : The type of the None singleton.

start: int | None : The type of the None singleton.

total: int | None : The type of the None singleton.

AdAnalyticsResponsePagingLinksItem(**data: Any) : Nested schema for AdAnalyticsResponsePaging.links_item

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

href: str | None : The type of the None singleton.

model_config : The type of the None singleton.

rel: str | None : The type of the None singleton.

type_: str | None : The type of the None singleton.

AdCampaignAnalyticsSearchData(**data: Any) : Search result data for ad_campaign_analytics entity.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel

Class variables

action_clicks: float | None : The number of clicks on action buttons in the ad.

ad_unit_clicks: float | None : The number of clicks on ad unit components.

approximate_member_reach: float | None : An approximation of unique ad impressions.

card_clicks: float | None : The number of clicks on interactive card elements.

card_impressions: float | None : The number of times interactive cards were displayed.

clicks: float | None : Total number of clicks on the ad.

comment_likes: float | None : The count of likes on comments related to the ad.

comments: float | None : The number of comments on the ad.

company_page_clicks: float | None : Clicks on the company page associated with the ad.

conversion_value_in_local_currency: float | None : Conversion value in the local currency.

cost_in_local_currency: float | None : Cost of ad campaign in the local currency.

cost_in_usd: float | None : Cost of ad campaign in USD.

document_completions: float | None : Number of completions for document views.

document_first_quartile_completions: float | None : Completions for first quartile of document views.

document_midpoint_completions: float | None : Completions for midpoint of document views.

document_third_quartile_completions: float | None : Completions for third quartile of document views.

download_clicks: float | None : Clicks on download links in the ad.

end_date: str | None : End date of the ad analytics data.

external_website_conversions: float | None : Conversions that lead to external websites.

external_website_post_click_conversions: float | None : Post-click conversions on external websites.

external_website_post_view_conversions: float | None : Post-view conversions on external websites.

follows: float | None : Number of follows generated by the ad.

full_screen_plays: float | None : Number of times videos were played in fullscreen mode.

impressions: float | None : Total number of times the ad was displayed.

job_applications: float | None : Number of job applications initiated through the ad.

job_apply_clicks: float | None : Clicks on apply job button in the ad.

landing_page_clicks: float | None : Clicks on the landing page associated with the ad.

lead_generation_mail_contact_info_shares: float | None : Shares of contact information through lead generation.

lead_generation_mail_interested_clicks: float | None : Clicks on expressing interest through lead generation mail.

likes: float | None : Total likes received on the ad.

model_config : The type of the None singleton.

one_click_lead_form_opens: float | None : Number of times lead forms were opened in one click.

one_click_leads: float | None : Leads generated in one click.

opens: float | None : The number of times the ad was opened or expanded.

other_engagements: float | None : Engagements other than clicks on the ad.

pivot: str | None : Pivot dimension used for this analytics record

pivot_values: list[typing.Any] | None : Values used for pivoting the analytics.

post_click_job_applications: float | None : Job applications initiated post-clicking on the ad.

post_click_job_apply_clicks: float | None : Clicks on apply job button post-clicking on the ad.

post_click_registrations: float | None : Registrations completed post-clicking on the ad.

post_view_job_applications: float | None : Job applications initiated post-viewing the ad.

post_view_job_apply_clicks: float | None : Clicks on apply job button post-viewing the ad.

post_view_registrations: float | None : Registrations completed post-viewing the ad.

reactions: float | None : Total reactions (e.g., like, love, celebrate) on the ad.

registrations: float | None : Total registrations completed through the ad.

sends: float | None : Number of messages sent through the ad.

shares: float | None : Total shares generated by the ad.

sponsored_campaign: str | None : URN of the sponsored campaign this analytics record belongs to

start_date: str | None : Start date of the ad analytics data.

string_of_pivot_values: str | None : Comma-separated string of pivot values for this analytics record

talent_leads: float | None : Number of leads related to talent acquisition.

text_url_clicks: float | None : Clicks on text URLs within the ad.

total_engagements: float | None : Total number of engagements on the ad.

valid_work_email_leads: float | None : Leads generated through valid work emails.

video_completions: float | None : Number of times videos were watched till completion.

video_first_quartile_completions: float | None : Completions for first quartile of video views.

video_midpoint_completions: float | None : Completions for midpoint of video views.

video_starts: float | None : Total video starts initiated by users.

video_third_quartile_completions: float | None : Completions for third quartile of video views.

video_views: float | None : Total views of videos in the ad.

viral_card_clicks: float | None : Clicks on interactive card components in viral distribution.

viral_card_impressions: float | None : Impressions of interactive cards in viral distribution.

viral_clicks: float | None : Total clicks in viral distribution of the ad.

viral_comment_likes: float | None : Likes received on comments in viral distribution.

viral_comments: float | None : Number of comments in viral distribution of the ad.

viral_company_page_clicks: float | None : Clicks on the company page in viral distribution.

viral_document_completions: float | None : Complete views of documents in viral distribution.

viral_document_first_quartile_completions: float | None : First quartile completions of documents in viral distribution.

viral_document_midpoint_completions: float | None : Midpoint completions of documents in viral distribution.

viral_document_third_quartile_completions: float | None : Third quartile completions of documents in viral distribution.

viral_download_clicks: float | None : Clicks on downloads in viral distribution of the ad.

viral_external_website_conversions: float | None : External website conversions in viral distribution.

viral_external_website_post_click_conversions: float | None : Post-click conversions on external websites in viral distribution.

viral_external_website_post_view_conversions: float | None : Post-view conversions on external websites in viral distribution.

viral_follows: float | None : Follows generated in viral distribution of the ad.

viral_full_screen_plays: float | None : Fullscreen video plays in viral distribution.

viral_impressions: float | None : Total impressions in viral distribution of the ad.

viral_job_applications: float | None : Job applications initiated in viral distribution.

viral_job_apply_clicks: float | None : Clicks on apply job button in viral distribution of the ad.

viral_landing_page_clicks: float | None : Clicks on landing page in viral distribution.

viral_likes: float | None : Total likes in viral distribution of the ad.

viral_one_click_lead_form_opens: float | None : One-click lead form opens in viral distribution.

viral_one_click_leads: float | None : Leads generated in one click in viral distribution.

viral_other_engagements: float | None : Other engagements in viral distribution of the ad.

viral_post_click_job_applications: float | None : Job applications initiated post-clicking in viral distribution.

viral_post_click_job_apply_clicks: float | None : Clicks on apply job button post-clicking in viral distribution.

viral_post_click_registrations: float | None : Registrations completed post-clicking in viral distribution.

viral_post_view_job_applications: float | None : Job applications initiated post-viewing in viral distribution.

viral_post_view_job_apply_clicks: float | None : Clicks on apply job button post-viewing in viral distribution.

viral_post_view_registrations: float | None : Registrations completed post-viewing in viral distribution.

viral_reactions: float | None : Total reactions in viral distribution of the ad.

viral_registrations: float | None : Total registrations in viral distribution of the ad.

viral_shares: float | None : Total shares in viral distribution of the ad.

viral_total_engagements: float | None : Total engagements in viral distribution of the ad.

viral_video_completions: float | None : Completions of videos in viral distribution.

viral_video_first_quartile_completions: float | None : First quartile completions of videos in viral distribution.

viral_video_midpoint_completions: float | None : Midpoint completions of videos in viral distribution.

viral_video_starts: float | None : Total video starts in viral distribution of the ad.

viral_video_third_quartile_completions: float | None : Third quartile completions of videos in viral distribution.

viral_video_views: float | None : Total views of videos in viral distribution of the ad.

AdCreativeAnalyticsSearchData(**data: Any) : Search result data for ad_creative_analytics entity.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)

pydantic.main.BaseModel