mcpField
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apify-lead-generation

apify-lead-generation

github.com/apifyMarketing & growth2.5k2.8k installsUpdated 1w ago
Repository

About apify-lead-generation

A skill for finding leads through Apify Actors across platforms. It guides selection and execution, then presents results in chat or as CSV or JSON exports.

Key features

  1. 01Selects an Actor by lead source
  2. 02Fetches Actor schemas with mcpc
  3. 03Runs Actors through a Node.js script
  4. 04Outputs results in chat, CSV, or JSON
  5. 05Summarizes lead counts and fields

Use cases

  1. 01Finding local businesses or contacts
  2. 02Discovering social media creators
  3. 03Exporting leads for later review

MCP support

Uses mcpc to call mcp.apify.com and retrieve Actor details, including input schemas and output fields.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/apify/agent-skills --skill apify-lead-generation

After installing, type/apify-lead-generationin Claude Code to confirm it loaded.

Bundled filesreference/scripts/run_actor.js

Details

From the project README

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 businessescompass/crawler-google-placesRestaurants, gyms, shops
Contact enrichmentvdrmota/contact-info-scraperEmails, phones from URLs
Instagram profilesapify/instagram-profile-scraperInfluencer discovery
Instagram posts/commentsapify/instagram-scraperPosts, comments, hashtags, places
Instagram searchapify/instagram-search-scraperPlaces, users, hashtags discovery
TikTok videos/hashtagsclockworks/tiktok-scraperComprehensive TikTok data extraction
TikTok hashtags/profilesclockworks/free-tiktok-scraperFree TikTok data extractor
TikTok user searchclockworks/tiktok-user-search-scraperFind users by keywords
TikTok profilesclockworks/tiktok-profile-scraperCreator outreach
TikTok followers/followingclockworks/tiktok-followers-scraperAudience analysis, segmentation
Facebook pagesapify/facebook-pages-scraperBusiness contacts
Facebook page contactsapify/facebook-page-contact-informationExtract emails, phones, addresses
Facebook groupsapify/facebook-groups-scraperBuying intent signals
Facebook eventsapify/facebook-events-scraperEvent networking, partnerships
Google Searchapify/google-search-scraperBroad lead discovery
YouTube channelsstreamers/youtube-scraperCreator partnerships
Google Maps emailspoidata/google-maps-email-extractorDirect 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

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