apify-influencer-discovery▌
apify/agent-skills · updated Apr 8, 2026
Discover and evaluate influencers across Instagram, Facebook, YouTube, and TikTok using Apify Actors.
- ›Routes discovery requests to 15+ specialized Actors covering profile scraping, hashtag search, engagement analysis, and niche discovery across all major platforms
- ›Dynamically fetches Actor schemas via mcpc to determine required inputs and available output fields before execution
- ›Supports three export modes: inline chat display, CSV, or JSON file output with customizable result counts
Influencer Discovery
Discover and analyze influencers across multiple platforms using Apify Actors.
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: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results
Step 1: Determine Discovery Source
Select the appropriate Actor based on user needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Influencer profiles | apify/instagram-profile-scraper |
Profile metrics, bio, follower counts |
| Find by hashtag | apify/instagram-hashtag-scraper |
Discover influencers using specific hashtags |
| Reel engagement | apify/instagram-reel-scraper |
Analyze reel performance and engagement |
| Discovery by niche | apify/instagram-search-scraper |
Search for influencers by keyword/niche |
| Brand mentions | apify/instagram-tagged-scraper |
Track who tags brands/products |
| Comprehensive data | apify/instagram-scraper |
Full profile, posts, comments analysis |
| API-based discovery | apify/instagram-api-scraper |
Fast API-based data extraction |
| Engagement analysis | apify/export-instagram-comments-posts |
Export comments for sentiment analysis |
| Facebook content | apify/facebook-posts-scraper |
Analyze Facebook post performance |
| Micro-influencers | apify/facebook-groups-scraper |
Find influencers in niche groups |
| Influential pages | apify/facebook-search-scraper |
Search for influential pages |
| YouTube creators | streamers/youtube-channel-scraper |
Channel metrics and subscriber data |
| TikTok influencers | clockworks/tiktok-scraper |
Comprehensive TikTok data extraction |
| TikTok (free) | clockworks/free-tiktok-scraper |
Free TikTok data extractor |
| Live streamers | clockworks/tiktok-live-scraper |
Discover live streaming influencers |
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/instagram-profile-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 Results
After completion, report:
- Number of influencers found
- File location and name
- Key metrics available (followers, engagement rate, etc.)
- Suggested next steps (filtering, outreach, deeper analysis)
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