mediar-ai/apify-lead-generation

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:

1. 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
2. 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