Skillshub apify-lead-generation

Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.

install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/apify/agent-skills/apify-lead-generation" ~/.claude/skills/comeonoliver-skillshub-apify-lead-generation && rm -rf "$T"
manifest: skills/apify/agent-skills/apify-lead-generation/SKILL.md
source content

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 NeedActor IDBest 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