Trend Analysis Skill | Agent Skills

Trend Analysis

Discover and track emerging trends using Apify Actors to extract 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: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify trend 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 Trend Type

Select the appropriate Actor based on research needs:

| User Need | Actor ID | Best For | |-----------|----------|----------| | Search trends | apify/google-trends-scraper | Google Trends data | | Hashtag tracking | apify/instagram-hashtag-scraper | Hashtag content | | Hashtag metrics | apify/instagram-hashtag-stats | Performance stats | | Visual trends | apify/instagram-post-scraper | Post analysis | | Trending discovery | apify/instagram-search-scraper | Search trends | | Comprehensive tracking | apify/instagram-scraper | Full data | | API-based trends | apify/instagram-api-scraper | API access | | Engagement trends | apify/export-instagram-comments-posts | Comment tracking | | Product trends | apify/facebook-marketplace-scraper | Marketplace data | | Visual analysis | apify/facebook-photos-scraper | Photo trends | | Community trends | apify/facebook-groups-scraper | Group monitoring | | YouTube Shorts | streamers/youtube-shorts-scraper | Short-form trends | | YouTube hashtags | streamers/youtube-video-scraper-by-hashtag | Hashtag videos | | TikTok hashtags | clockworks/tiktok-hashtag-scraper | Hashtag content | | Trending sounds | clockworks/tiktok-sound-scraper | Audio trends | | TikTok ads | clockworks/tiktok-ads-scraper | Ad trends | | Discover page | clockworks/tiktok-discover-scraper | Discover trends | | Explore trends | clockworks/tiktok-explore-scraper | Explore content | | Trending content | clockworks/tiktok-trends-scraper | Viral content |

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/google-trends-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 results found
File location and name
Key trend insights
Suggested next steps (deeper analysis, content opportunities)

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

Agent Skills: Trend Analysis

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