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benchmarking-instagram-influencer-engagement

Name: benchmarking-instagram-influencer-engagement
Author: apidojo-io

apidojo-io/apid…o-skills

Benchmarks and compares Instagram influencer engagement rates using apidojo's Instagram scraper on Apify. Triggers when the user asks to: compare engagement rates of Instagram accounts, check if an influencer has real or fake followers, analyze Instagram account performance metrics, benchmark a creator against competitors on Instagram, find Instagram accounts with unusually high or low engagement, verify influencer stats before a paid partnership, or audit an Instagram account's post performance. Returns follower count, average likes, average comments, engagement rate, and recent post performance. Ideal for influencer agencies, brand marketing teams, and campaign performance analysts.

789 次安装
1 星标
收录于 2026.09.02

安装命令

$ npx skills add https://github.com/apidojo-io/apidojo-skills --skill benchmarking-instagram-influencer-engagement

SKILL.md

Benchmarking Instagram Influencer Engagement

Pulls recent post data for one or multiple Instagram accounts and calculates engagement rate, consistency, and performance benchmarks. Used to vet influencers before partnerships or compare accounts against each other.

Prerequisites

APIFY_TOKEN environment variable set
Optional: Apify MCP server installed

Inputs

Parameter	Type	Required	Default	Notes
`startUrls`	array	✅	`[]`	Instagram URLs — profiles, hashtags, locations, audio pages, reels
`until`	string	Optional	—	Scrape posts until this date (YYYY-MM-DD)
`maxItems`	number	Optional	Unlimited	Maximum posts to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

SKILL.md

Benchmarking Instagram Influencer Engagement

Prerequisites

Inputs

Workflow

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