Insights
Get statistics by medias. Common arguments:
post_type- Media type: “ALL”, “CAROUSEL_V2”, “IMAGE”, “SHOPPING”, “VIDEO”.time_frame- Time frame for media publishing date: “ONE_WEEK”, “ONE_MONTH”, “THREE_MONTHS”, “SIX_MONTHS”, “ONE_YEAR”, “TWO_YEARS”.data_ordering- Data ordering in instagram response: “REACH_COUNT”, “LIKE_COUNT”, “FOLLOW”, “SHARE_COUNT”, “BIO_LINK_CLICK”, “COMMENT_COUNT”, “IMPRESSION_COUNT”, “PROFILE_VIEW”, “VIDEO_VIEW_COUNT”, “SAVE_COUNT”.
| Method | Return | Description |
|---|---|---|
| insights_media_feed_all(post_type: str = “ALL”, time_frame: str = “TWO_YEARS”, data_ordering: str = “REACH_COUNT”, count: int = 0, sleep: int = 2) | List[Dict] | Return medias with insights |
| insights_account() | Dict | Get statistics by your account |
| insights_media(media_pk: int) | Dict | Get statistics by your media |
Example:
from instagrapi import Client
cl = Client()
cl.login(USERNAME, PASSWORD)
cl.insights_media_feed_all("VIDEO", "ONE_WEEK", "LIKE_COUNT", 42)
cl.insights_account()
media_pk = cl.media_pk_from_url('https://www.instagram.com/p/CP5h-I1FuPr/')
cl.insights_media(media_pk)