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 (for fetching Actor schemas)

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