apify-lead-generation

Multi-platform lead scraping from Google Maps, social media, websites, and search engines. Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits Requires APIFY_TOKEN in .env file and Node.js 20.6+ for environment variable support

INSTALLATION
npx skills add https://github.com/apify/agent-skills --skill apify-lead-generation
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Lead Generation

Scrape leads from 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: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:

- [ ] Step 1: Determine lead source (select Actor)

- [ ] Step 2: Fetch Actor schema via mcpc

- [ ] Step 3: Ask user preferences (format, filename)

- [ ] Step 4: Run the lead finder script

- [ ] Step 5: Summarize results

Step 1: Determine Lead Source

Select the appropriate Actor based on user needs:

User Need

Actor ID

Best For

Local businesses

compass/crawler-google-places

Restaurants, gyms, shops

Contact enrichment

vdrmota/contact-info-scraper

Emails, phones from URLs

Instagram profiles

apify/instagram-profile-scraper

Influencer discovery

Instagram posts/comments

apify/instagram-scraper

Posts, comments, hashtags, places

Instagram search

apify/instagram-search-scraper

Places, users, hashtags discovery

TikTok videos/hashtags

clockworks/tiktok-scraper

Comprehensive TikTok data extraction

TikTok hashtags/profiles

clockworks/free-tiktok-scraper

Free TikTok data extractor

TikTok user search

clockworks/tiktok-user-search-scraper

Find users by keywords

TikTok profiles

clockworks/tiktok-profile-scraper

Creator outreach

TikTok followers/following

clockworks/tiktok-followers-scraper

Audience analysis, segmentation

Facebook pages

apify/facebook-pages-scraper

Business contacts

Facebook page contacts

apify/facebook-page-contact-information

Extract emails, phones, addresses

Facebook groups

apify/facebook-groups-scraper

Buying intent signals

Facebook events

apify/facebook-events-scraper

Event networking, partnerships

Google Search

apify/google-search-scraper

Broad lead discovery

YouTube channels

streamers/youtube-scraper

Creator partnerships

Google Maps emails

poidata/google-maps-email-extractor

Direct email extraction

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., compass/crawler-google-places).

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 leads found
  • File location and name
  • Key fields available
  • Suggested next steps (filtering, enrichment)

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

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