Awesome-omni-skill apify-trend-analysis

Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/backend/apify-trend-analysis" ~/.claude/skills/diegosouzapw-awesome-omni-skill-apify-trend-analysis && rm -rf "$T"

manifest: skills/backend/apify-trend-analysis/SKILL.md

safety · automated scan (medium risk)

This is a pattern-based risk scan, not a security review. Our crawler flagged:

global npm install
dumps environment variables
references .env files

Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.

source content

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