CommentManagerAPI¶

ig.comment_manager — Filter comments, auto-reply, delete spam, and analyze sentiment.

Quick Example¶

ig = Instagram.from_env()

# Get and analyze comments
comments = ig.comment_manager.get_comments(media_pk, sort="top")
sentiment = ig.comment_manager.sentiment(media_pk)
print(f"Positive: {sentiment['positive']}%, Negative: {sentiment['negative']}%")

Methods¶

get_comments(media_pk, sort="top", filter_spam=True)¶

Get filtered comments for a post.

Param	Type	Default	Description
`media_pk`	`str/int`	—	Post media PK
`sort`	`str`	"top"	Sort: "top", "recent"
`filter_spam`	`bool`	True	Auto-filter spam

auto_reply(media_pk, keyword, reply)¶

Auto-reply to comments containing a keyword.

ig.comment_manager.auto_reply(
    media_pk,
    keyword="price?",
    reply="Check our bio for pricing! 💰"
)

delete_spam(media_pk)¶

Detect and delete spam comments.

result = ig.comment_manager.delete_spam(media_pk)
print(f"Deleted {result['deleted']} spam comments")

Spam detection includes:

"follow for follow" / "f4f" patterns
Excessive emojis
URL spam
Money/promotion spam
Repeated characters

sentiment(media_pk)¶

Analyze comment sentiment distribution.

result = ig.comment_manager.sentiment(media_pk)
# {
#     "total": 150,
#     "positive": 65,    # percentage
#     "negative": 10,
#     "neutral": 25,
#     "top_positive": [...],
#     "top_negative": [...]
# }

Async Version¶

async with AsyncInstagram.from_env() as ig:
    comments = await ig.comment_manager.get_comments(media_pk)
    sentiment = await ig.comment_manager.sentiment(media_pk)
    await ig.comment_manager.delete_spam(media_pk)