apify-influencer-discovery

仓库: apify/agent-skills
安装量: 2.2K
排名: #847

安装

npx skills add https://github.com/apify/agent-skills --skill apify-influencer-discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN

  • Node.js 20.6+ (for native --env-file support)

  • mcpc CLI tool (for fetching Actor schemas)

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:

| 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

← 返回排行榜