2f55f046b9
* feat: add 12 official Apify skills for web scraping and data extraction Add the complete Apify agent-skills collection as official vendor skills, bringing the total skill count from 954 to 966. New skills: - apify-actor-development: Develop, debug, and deploy Apify Actors - apify-actorization: Convert existing projects into Apify Actors - apify-audience-analysis: Audience demographics across social platforms - apify-brand-reputation-monitoring: Track reviews, ratings, and sentiment - apify-competitor-intelligence: Analyze competitor strategies and pricing - apify-content-analytics: Track engagement metrics and campaign ROI - apify-ecommerce: E-commerce data scraping for pricing intelligence - apify-influencer-discovery: Find and evaluate influencers - apify-lead-generation: B2B/B2C lead generation from multiple platforms - apify-market-research: Market conditions and geographic opportunities - apify-trend-analysis: Discover emerging trends across platforms - apify-ultimate-scraper: Universal AI-powered web scraper Existing skill fixes: - design-orchestration: Add missing description, fix markdown list spacing - multi-agent-brainstorming: Add missing description, fix markdown list spacing Registry and documentation updates: - Update skill count to 966+ across README.md, README.vi.md - Add Apify to official sources in SOURCES.md and all README variants - Register new skills in catalog.json, skills_index.json, bundles.json, aliases.json - Update CATALOG.md category counts (data-ai: 152, infrastructure: 95) Validation script improvements: - Raise description length limit from 200 to 1024 characters - Add empty description validation check - Apply PEP 8 formatting (line length, spacing, trailing whitespace) * refactor: truncate skill descriptions in SKILL.md files and revert description length validation to 200 characters. * feat: Add `apify-ultimate-scraper` to data-ai and move `apify-lead-generation` from business to general categories.
119 lines
4.2 KiB
Markdown
119 lines
4.2 KiB
Markdown
---
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name: apify-influencer-discovery
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description: Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
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---
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# Influencer Discovery
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Discover and analyze influencers across multiple platforms using Apify Actors.
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## Prerequisites
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(No need to check it upfront)
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- `.env` file with `APIFY_TOKEN`
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- Node.js 20.6+ (for native `--env-file` support)
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- `mcpc` CLI tool: `npm install -g @apify/mcpc`
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## Workflow
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Copy this checklist and track progress:
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```
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Task Progress:
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- [ ] Step 1: Determine discovery source (select Actor)
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- [ ] Step 2: Fetch Actor schema via mcpc
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- [ ] Step 3: Ask user preferences (format, filename)
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- [ ] Step 4: Run the discovery script
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- [ ] Step 5: Summarize results
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```
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### Step 1: Determine Discovery Source
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Select the appropriate Actor based on user needs:
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| User Need | Actor ID | Best For |
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|-----------|----------|----------|
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| Influencer profiles | `apify/instagram-profile-scraper` | Profile metrics, bio, follower counts |
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| Find by hashtag | `apify/instagram-hashtag-scraper` | Discover influencers using specific hashtags |
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| Reel engagement | `apify/instagram-reel-scraper` | Analyze reel performance and engagement |
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| Discovery by niche | `apify/instagram-search-scraper` | Search for influencers by keyword/niche |
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| Brand mentions | `apify/instagram-tagged-scraper` | Track who tags brands/products |
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| Comprehensive data | `apify/instagram-scraper` | Full profile, posts, comments analysis |
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| API-based discovery | `apify/instagram-api-scraper` | Fast API-based data extraction |
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| Engagement analysis | `apify/export-instagram-comments-posts` | Export comments for sentiment analysis |
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| Facebook content | `apify/facebook-posts-scraper` | Analyze Facebook post performance |
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| Micro-influencers | `apify/facebook-groups-scraper` | Find influencers in niche groups |
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| Influential pages | `apify/facebook-search-scraper` | Search for influential pages |
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| YouTube creators | `streamers/youtube-channel-scraper` | Channel metrics and subscriber data |
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| TikTok influencers | `clockworks/tiktok-scraper` | Comprehensive TikTok data extraction |
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| TikTok (free) | `clockworks/free-tiktok-scraper` | Free TikTok data extractor |
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| Live streamers | `clockworks/tiktok-live-scraper` | Discover live streaming influencers |
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### Step 2: Fetch Actor Schema
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Fetch the Actor's input schema and details dynamically using mcpc:
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```bash
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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"
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```
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Replace `ACTOR_ID` with the selected Actor (e.g., `apify/instagram-profile-scraper`).
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This returns:
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- Actor description and README
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- Required and optional input parameters
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- Output fields (if available)
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### Step 3: Ask User Preferences
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Before running, ask:
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1. **Output format**:
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- **Quick answer** - Display top few results in chat (no file saved)
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- **CSV** - Full export with all fields
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- **JSON** - Full export in JSON format
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2. **Number of results**: Based on character of use case
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### Step 4: Run the Script
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**Quick answer (display in chat, no file):**
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```bash
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node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
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--actor "ACTOR_ID" \
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--input 'JSON_INPUT'
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```
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**CSV:**
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```bash
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node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
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--actor "ACTOR_ID" \
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--input 'JSON_INPUT' \
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--output YYYY-MM-DD_OUTPUT_FILE.csv \
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--format csv
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```
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**JSON:**
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```bash
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node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
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--actor "ACTOR_ID" \
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--input 'JSON_INPUT' \
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--output YYYY-MM-DD_OUTPUT_FILE.json \
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--format json
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```
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### Step 5: Summarize Results
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After completion, report:
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- Number of influencers found
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- File location and name
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- Key metrics available (followers, engagement rate, etc.)
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- Suggested next steps (filtering, outreach, deeper analysis)
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## Error Handling
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`APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`
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`mcpc not found` - Ask user to install `npm install -g @apify/mcpc`
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`Actor not found` - Check Actor ID spelling
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`Run FAILED` - Ask user to check Apify console link in error output
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`Timeout` - Reduce input size or increase `--timeout`
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