Skillshub apify-influencer-discovery
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/apify/agent-skills/apify-influencer-discovery" ~/.claude/skills/comeonoliver-skillshub-apify-influencer-discovery && rm -rf "$T"
manifest:
skills/apify/agent-skills/apify-influencer-discovery/SKILL.mdsource content
Influencer Discovery
Discover and analyze influencers across multiple platforms using Apify Actors.
Prerequisites
(No need to check it upfront)
file with.envAPIFY_TOKEN- Node.js 20.6+ (for native
support)--env-file
CLI tool:mcpcnpm 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 | | Profile metrics, bio, follower counts |
| Find by hashtag | | Discover influencers using specific hashtags |
| Reel engagement | | Analyze reel performance and engagement |
| Discovery by niche | | Search for influencers by keyword/niche |
| Brand mentions | | Track who tags brands/products |
| Comprehensive data | | Full profile, posts, comments analysis |
| API-based discovery | | Fast API-based data extraction |
| Engagement analysis | | Export comments for sentiment analysis |
| Facebook content | | Analyze Facebook post performance |
| Micro-influencers | | Find influencers in niche groups |
| Influential pages | | Search for influential pages |
| YouTube creators | | Channel metrics and subscriber data |
| TikTok influencers | | Comprehensive TikTok data extraction |
| TikTok (free) | | Free TikTok data extractor |
| Live streamers | | 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