FrancoStino/apify-trend-analysis
bundled-skills/apify-trend-analysis/SKILL.md
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
$ install --global
skillsauthnpx skillsauth add FrancoStino/opencode-skills-antigravity apify-trend-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 15, 2026, 6:22 AM5.7s2 files scanned
SKILL.md
- name:
- apify-trend-analysis
- description:
- Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
- risk:
- unknown
- source:
- community
Trend Analysis
Discover and track emerging trends using Apify Actors to extract data from multiple platforms.
Prerequisites
(No need to check it upfront)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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
When to Use
Use this skill when tackling tasks related to its primary domain or functionality as described above.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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