| Name | Type | Description | Notes |
|---|---|---|---|
| id | str | ||
| share_urn | str | ||
| post_type | str | ugc | activity |
| text | str | ||
| url | str | ||
| create_time | int | Unix epoch seconds | |
| created_at | str | Original ISO timestamp | |
| like_count | int | ||
| comment_count | int | ||
| share_count | int | ||
| reactions | List[LinkedinPostReactionsInner] | ||
| author | LinkedinPostAuthor | ||
| content | Dict[str, object] | Pass-through LinkedIn post body block (images, video, document, article, celebration, poll, event). LinkedIn's structure for each is complex and evolving — kept as-is rather than reshaped. |
from unifapi.models.linkedin_post import LinkedinPost
# TODO update the JSON string below
json = "{}"
# create an instance of LinkedinPost from a JSON string
linkedin_post_instance = LinkedinPost.from_json(json)
# print the JSON string representation of the object
print(LinkedinPost.to_json())
# convert the object into a dict
linkedin_post_dict = linkedin_post_instance.to_dict()
# create an instance of LinkedinPost from a dict
linkedin_post_from_dict = LinkedinPost.from_dict(linkedin_post_dict)