Can I export the audience data to external files?

Yes, you can choose to display a quick summary in your chat or export the full dataset to CSV or JSON files.

Is it possible to track follower growth over time?

Yes, by running the profile and follower count scrapers periodically, you can collect time-series data to monitor audience growth trends.

Which social media platforms does this skill support?

The skill supports data extraction and analysis for Facebook, Instagram, YouTube, and TikTok using specialized Apify Actors.

How does this skill help with sentiment analysis?

It utilizes specific Actors designed for comment scraping, allowing Claude to analyze the text of thousands of comments for tone and feedback patterns.

What prerequisites are needed to run this skill?

You need an Apify account with an APIFY_TOKEN in your .env file, Node.js 20.6+, and the mcpc CLI tool installed.

Apify Audience Analysis

Name: Apify Audience Analysis
Author: apify

byapify

•

190

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Social Media Management

Extracts and analyzes audience demographics, engagement patterns, and behavior across major social media platforms.

Apify Audience Analysis is a specialized skill that empowers Claude to perform deep market research by leveraging Apify's library of social media scrapers. It enables users to programmatically retrieve follower data, sentiment analysis from comments, and engagement metrics from Facebook, Instagram, YouTube, and TikTok. This skill automates the workflow of selecting the right scraper, fetching input schemas, and processing results into actionable insights or structured files like CSV and JSON, making it an essential tool for data-driven marketers and researchers.

Key Features

01Sentiment and engagement quality analysis of social media comments

02Dynamic Actor schema discovery via mcpc CLI integration

03Automated demographic profiling and follower list extraction

04Structured data export in CSV and JSON formats

05190 GitHub stars

06Multi-platform support for Facebook, Instagram, YouTube, and TikTok

Use Cases

01Identifying target audience segments for cross-platform marketing campaigns

02Benchmarking competitor engagement levels and follower growth patterns

03Analyzing global customer sentiment through bulk comment scraping

Key Features

01Sentiment and engagement quality analysis of social media comments

02Dynamic Actor schema discovery via mcpc CLI integration

03Automated demographic profiling and follower list extraction

04Structured data export in CSV and JSON formats

05190 GitHub stars

06Multi-platform support for Facebook, Instagram, YouTube, and TikTok

Use Cases

01Identifying target audience segments for cross-platform marketing campaigns

02Benchmarking competitor engagement levels and follower growth patterns

03Analyzing global customer sentiment through bulk comment scraping