ig-audience-insights

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Original

English

🇨🇳

Translation

Chinese

Instagram Audience Insights

Instagram 受众洞察

Turn real Instagram data into a read on what is working: which posts in your niche are traveling right now and why, and how any account (yours or a competitor's) actually performs. This is the read layer, so the skill sees real numbers instead of guessing.

One honest limit: Instagram caps and cookie-gates who liked or commented on someone else's post, so a liker or commenter roster is not reliably available for other accounts. The signal here is niche post performance + profile stats, which is what you can actually read on Instagram.

将真实的 Instagram 数据转化为对当前有效内容的解读：你的垂直领域中哪些帖子正在传播、为什么，以及任何账号（你自己的或竞争对手的）实际表现如何。这是一个读取层，让 skill 基于真实数据进行分析，而不是凭空猜测。

一个需要如实说明的限制：Instagram 会通过数量上限和 Cookie 访问限制，隐藏是谁点赞或评论了他人发布的帖子，因此无法可靠地获取其他账号的点赞者或评论者名单。此处提供的信号是垂直领域帖子表现 + 账号资料数据，这些才是 Instagram 上实际可读取的信息。

When to use

何时使用

"What is working in my niche / scan the #hashtag"
"Pull the stats for this account / how big is this competitor"
"What format is traveling under this hashtag right now"
"Compare my follower count to this account"

Not for writing a caption (use

ig-caption-writer

) or planning a carousel (use

ig-carousel-planner

“我的垂直领域中什么正在有效 / 扫描这个 #hashtag”
“获取这个账号的数据 / 这个竞争对手规模有多大”
“目前这个 hashtag 下哪种内容格式正在传播”
“将我的粉丝数与这个账号进行比较”

不用于撰写 caption（请使用

ig-caption-writer

）或规划 carousel（请使用

ig-carousel-planner

）。

Setup (optional)

设置（可选）

The read layer uses Apify (no login, no cookies). Get a free token at

https://console.apify.com/account/integrations

and set

APIFY_TOKEN

. No token? Paste the posts or profile stats you already have and the skill runs the same analysis on them.

该读取层使用 Apify（无需登录，无需 Cookie）。在

https://console.apify.com/account/integrations

获取免费 token，并设置

APIFY_TOKEN

。没有 token？粘贴你已有的帖子或账号资料数据，skill 仍可对这些数据执行相同的分析。

Input

输入

A niche hashtag (with or without the
```
#
```
), a username (yours or a competitor's), or both
Optional: the goal (niche pulse / competitor read / self benchmark)

一个垂直领域 hashtag（可带或不带
```
#
```
）、一个 username（你自己的或竞争对手的），或者两者兼有
可选：目标（垂直领域趋势 / 竞争对手分析 / 自我基准）

Output

输出

Niche pulse - the top posts under a hashtag ranked by engagement, with the pattern behind the winners (hook shape, caption length, image vs carousel vs Reel, presence of a question or a specific number)
Profile read - the stats for a handle: followers, post count, bio, category, verified and business flags
Benchmark - your account against a competitor on follower count and post cadence, normalized so a small account's breakout is not buried under a big account's average
Action list - what format to make more of, which accounts to watch, what to route to
```
ig-caption-writer
```
or
```
ig-carousel-planner
```

垂直领域脉搏 - hashtag 下的热门帖子，按互动量排名，并总结胜出内容背后的共同模式（Hook 结构、caption 长度、图片 vs 轮播 vs Reel、是否包含问题或具体数字）
账号资料分析 - handle 的数据：粉丝数、帖子数、简介、分类、认证和商业账号标记
基准比较 - 将你的账号与竞争对手在粉丝数和发布频率上进行比较，并进行标准化处理，避免小账号的爆款被大账号的平均表现掩盖
行动清单 - 应该多做哪种格式、应该关注哪些账号，以及应将哪些内容转交给
```
ig-caption-writer
```
或
```
ig-carousel-planner
```

Steps

步骤

Pull the data. For a niche:
```
lib.ApifyClient().fetch_niche_posts(hashtag, max_items=20)
```
. For a profile:
```
fetch_profile(username)
```
. Falls back to pasted data if no token.
Rank by engagement. Sort the niche posts by likes + comments. Normalize against the owner's reach where known so a mega-account's average does not crowd out a small account's breakout.
Extract the pattern. For the top posts, name what they share: the hook shape (question, confession, list, data-point), the caption length, image vs carousel vs Reel, the presence of a specific number. That is the repeatable part.
Read the profile. From
```
fetch_profile
```
, report followers, post count, bio, category, and whether it is a verified business account. Use it to benchmark, not to guess private engagement.
Benchmark honestly. Compare handles on the stats Instagram exposes (followers, post count, cadence). Do not imply access to a liker or commenter list for accounts you do not own.
Build the action list. Make-more-of (the winning format), watch (specific accounts), route drafts to
```
ig-caption-writer
```
/
```
ig-carousel-planner
```
.
Deliver the report in the Output shape, with the raw ranked posts and profile stats attached.

获取数据。 对于垂直领域：
```
lib.ApifyClient().fetch_niche_posts(hashtag, max_items=20)
```
。对于账号资料：
```
fetch_profile(username)
```
。如果没有 token，则回退为使用粘贴的数据。
按互动量排名。 按 likes + comments 对垂直领域帖子排序。在已知的情况下，根据发布者的触达量进行标准化处理，避免大账号的平均表现掩盖小账号的爆发性内容。
提取模式。 对于热门帖子，指出它们的共同点：Hook 结构（问题、经历坦白、清单、数据点）、caption 长度、图片 vs 轮播 vs Reel、是否包含具体数字。这才是可复制的部分。
读取账号资料。 从
```
fetch_profile
```
报告粉丝数、帖子数、简介、分类，以及该账号是否为已认证的商业账号。使用这些数据进行基准比较，不要猜测未公开的互动情况。
如实进行基准比较。 根据 Instagram 公开的数据（粉丝数、帖子数、发布频率）比较不同 handle。不要暗示可以获取你不拥有的账号的点赞者或评论者名单。
构建行动清单。 列出应该多做的内容（表现最佳的格式）、需要关注的账号，并将草稿转交给
```
ig-caption-writer
```
/
```
ig-carousel-planner
```
。
交付报告。 按照输出结构交付报告，并附上原始的帖子排名和账号资料数据。

What the read layer exposes

读取层提供的数据

Method	Returns
`fetch_niche_posts(hashtag, max_items)`	top posts under a hashtag: caption, likes, comments, owner, type, url
`fetch_profile(username)`	profile stats: username, followers, following, posts, bio, category, verified, business

方法	返回内容
`fetch_niche_posts(hashtag, max_items)`	hashtag 下的热门帖子：caption、likes、comments、owner、type、url
`fetch_profile(username)`	账号资料数据：username、followers、following、posts、bio、category、verified、business

Hard rules

硬性规则

Global voice rules: see root

SKILL.md

Voice rules. Additional skill-specific rules:

Be honest that Instagram hides who liked or commented on other accounts. This is niche discovery + profile stats, not a liker or engager roster. Do not imply otherwise.
Normalize by follower count before calling a post a winner, or you extract "big account" effects, not "good post" effects.
Never invent a post, a number, or a pattern. If a hashtag returns thin, say so and try an adjacent tag or pull known accounts.
A pattern is only a pattern if it recurs across several top posts, not one.

全局语气规则：参见根目录

SKILL.md

的 Voice rules。skill 专属的其他规则如下：

如实说明 Instagram 会隐藏是谁点赞或评论了其他账号。这是垂直领域内容发现 + 账号资料统计，不是点赞者或互动者名单。不得暗示可以获取这些信息。
在判断某条帖子是赢家之前，必须按粉丝数进行标准化，否则提取到的只是“大账号效应”，而不是“好帖子效应”。
绝不编造帖子、数字或模式。如果某个 hashtag 返回的数据过少，应如实说明，并尝试相邻标签或获取已知账号的数据。
只有当某个模式在多篇热门帖子中反复出现时，才能将其称为模式；单篇帖子不算。