apify-audience-analysis

安装量: 2.1K
排名: #853

安装

npx skills add https://github.com/apify/agent-skills --skill apify-audience-analysis

Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN

  • Node.js 20.6+ (for native --env-file support)

  • mcpc CLI tool (for fetching Actor schemas)

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:

| 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 | FB post/video comments

| Facebook content engagement | apify/facebook-posts-scraper | FB post engagement metrics

| Instagram audience sizing | apify/instagram-profile-scraper | IG profile demographics

| Instagram location-based | apify/instagram-search-scraper | IG geo-tagged audience

| Instagram tagged network | apify/instagram-tagged-scraper | IG tag network analysis

| Instagram comprehensive | apify/instagram-scraper | Full IG audience data

| Instagram API-based | apify/instagram-api-scraper | IG API access

| Instagram follower counts | apify/instagram-followers-count-scraper | IG follower tracking

| Instagram comment export | apify/export-instagram-comments-posts | IG comment bulk export

| Instagram comment analysis | apify/instagram-comment-scraper | IG comment sentiment

| YouTube viewer feedback | streamers/youtube-comments-scraper | YT comment analysis

| YouTube channel audience | streamers/youtube-channel-scraper | YT channel subscribers

| TikTok follower demographics | clockworks/tiktok-followers-scraper | TT follower lists

| TikTok profile analysis | clockworks/tiktok-profile-scraper | TT profile demographics

| TikTok comment analysis | clockworks/tiktok-comments-scraper | TT comment engagement

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., apify/facebook-followers-following-scraper).

This returns:

  • Actor description and README

  • Required and optional input parameters

  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

  • Output format:

Quick answer - Display top few results in chat (no file saved)

  • CSV - Full export with all fields

  • JSON - Full export in JSON format

  • Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Findings

After completion, report:

  • Number of audience members/profiles analyzed

  • File location and name

  • Key demographic insights

  • Suggested next steps (deeper analysis, segmentation)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token mcpc not found - Ask user to install npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout

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