apify-audience-analysis

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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# Audience Analysis Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms. ## When to Use - You need audience demographics, engagement patterns, or follower behavior from social platforms. - The task is to choose and run Apify Actors for audience analysis across Facebook, Instagram, YouTube, or TikTok. - You need structured extraction plus a summarized interpretation of audience findings. ## Prerequisites (No need to check it upfront) - `.env` file with `APIFY_TOKEN` - Node.js 20.6+ (for native `--env-file` support) - `mcpc` CLI tool: `npm install -g @apify/mcpc` ## Workflow Copy this checklist and track progress: ``` Task Progress: - [ ] Step 1: Identify audience analysis type (select Actor) - [ ] Step 2: Fetch Actor schema via mcpc - [ ] Step 3: Ask user preferences (format, filename) - [ ] Step 4: Run the analysis script - [ ] Step 5: Summarize findings ``` ### Step 1: Identify Audience Analysis Type Select the appropriate Actor based on analysis needs: | User Need | Actor ID | Best For | |-----------|----------|----------| | Facebook follower demographics | `apify/facebook-followers-following-scraper` | FB followers/following lists | | Facebook engagement behavior | `apify/facebook-likes-scraper` | FB post likes analysis | | Facebook video audience | `apify/facebook-reels-scraper` | FB Reels viewers | | Facebook comment analysis | `apify/facebook-comments-scraper`...

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Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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