apify-lead-generation

📁 apify/agent-skills 📅 Jan 24, 2026
411
总安装量
412
周安装量
#664
全站排名
安装命令
npx skills add https://github.com/apify/agent-skills --skill apify-lead-generation

Agent 安装分布

claude-code 336
opencode 331
codex 301
gemini-cli 269
antigravity 250
cursor 231

Skill 文档

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