mcpField
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apify-trend-analysis

apify-trend-analysis

github.com/apifyMarketing & growth2.5k2.7k installsUpdated 1w ago
Repository

About apify-trend-analysis

A skill for discovering and tracking trends with Apify Actors that collect data across platforms. It helps select an Actor, run an analysis, and review findings in chat or CSV or JSON output.

Key features

  1. 01Selects an Actor by trend type
  2. 02Fetches Actor schemas with mcpc
  3. 03Runs Actors through a Node.js script
  4. 04Outputs results in chat, CSV, or JSON
  5. 05Summarizes trend findings

Use cases

  1. 01Tracking search and hashtag trends
  2. 02Reviewing trending social media content
  3. 03Exporting trend data for further analysis

MCP support

Uses mcpc to call mcp.apify.com and retrieve Actor details, including input schemas and output fields.

Install

Copy the command and run it in a terminal.

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

After installing, type/apify-trend-analysisin Claude Code to confirm it loaded.

Bundled filesreference/scripts/run_actor.js

Details

From the project README

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 NeedActor IDBest For
Search trendsapify/google-trends-scraperGoogle Trends data
Hashtag trackingapify/instagram-hashtag-scraperHashtag content
Hashtag metricsapify/instagram-hashtag-statsPerformance stats
Visual trendsapify/instagram-post-scraperPost analysis
Trending discoveryapify/instagram-search-scraperSearch trends
Comprehensive trackingapify/instagram-scraperFull data
API-based trendsapify/instagram-api-scraperAPI access
Engagement trendsapify/export-instagram-comments-postsComment tracking
Product trendsapify/facebook-marketplace-scraperMarketplace data
Visual analysisapify/facebook-photos-scraperPhoto trends
Community trendsapify/facebook-groups-scraperGroup monitoring
YouTube Shortsstreamers/youtube-shorts-scraperShort-form trends
YouTube hashtagsstreamers/youtube-video-scraper-by-hashtagHashtag videos
TikTok hashtagsclockworks/tiktok-hashtag-scraperHashtag content
Trending soundsclockworks/tiktok-sound-scraperAudio trends
TikTok adsclockworks/tiktok-ads-scraperAd trends
Discover pageclockworks/tiktok-discover-scraperDiscover trends
Explore trendsclockworks/tiktok-explore-scraperExplore content
Trending contentclockworks/tiktok-trends-scraperViral 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:

  1. 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
  2. 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

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