mcpField
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apify-lead-generation

apify-lead-generation

github.com/sickn33Marketing & growth48.9k101 installsUpdated today
Repository

About apify-lead-generation

A workflow skill for finding business, creator, and contact leads with Apify Actors. It guides Actor selection, schema checks, runs, and result summaries, while setting boundaries for authorization and data use.

Key features

  1. 01Select Actors by lead source
  2. 02Inspect Actor input schemas
  3. 03Export results as CSV or JSON
  4. 04Summarize lead counts and fields
  5. 05Check permissions and limits before runs

Use cases

  1. 01Find prospective local businesses
  2. 02Discover creators on social platforms
  3. 03Filter leads from search or map data

MCP support

An approved Apify connector can be used to inspect Actor details and schemas; the Apify Console is an alternative.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sickn33/agentic-awesome-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.

When to Use

  • You need business, creator, or contact leads from maps, search, social, or video platforms.
  • The task involves selecting an Apify Actor to discover prospects and extract outreach data.
  • You need exported lead data plus a concise summary of lead quality or segmentation.

Prerequisites

Verify prerequisites before any paid run.

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • An approved Apify connector or Console access to inspect the chosen Actor and its schema; the bundled runner uses REST directly.
  • Keep .env untracked and private; configure the token locally without pasting it into chat or command arguments.

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine lead source (select Actor)
- [ ] Step 2: Fetch Actor schema via an approved connector or Console
- [ ] 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

Inspect the current Actor details and input schema using the authenticated Apify connector available in the session, or its Console page. Discover actual tool names and parameters before calling them. Do not parse .env with shell substitution or pass a token as a CLI header argument. Treat the Actor table as discovery candidates, not verified availability or schemas.

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 - Bounded export, union of returned fields
    • JSON - Bounded 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 "<resolved-skill-directory>/reference/scripts/run_actor.js" \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env "<resolved-skill-directory>/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 "<resolved-skill-directory>/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 Connector unavailable - Inspect the schema through the Console; do not claim an unavailable tool was called. Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - The local timeout does not abort the remote run. Inspect the printed run ID in Console before retrying to avoid duplicate charges.

Run Boundaries

Before launch, confirm the selected Actor, authorized public-data scope, current input schema, result limits and pricing with the user’s request. Respect source terms and access controls; do not collect private group data or unnecessary personal contact information. Start with a small Actor-supported input limit. --max-items limits downloaded output only (default 1000); it does not cap Actor work or billing. The helper sends a skill-identifying User-Agent to Apify. Resolve the installed skill directory in the command placeholders. Output files must be new paths; exports preserve long values and heterogeneous fields. Quick answers fetch at most five records; minimize or redact personal fields before sharing.

Only collect business contact fields needed for the authorized purpose. Public visibility does not establish outreach consent: preserve the source URL/date, suppress opt-outs and duplicates, and verify jurisdictional and platform restrictions before use. Do not infer sensitive personal traits from followers or group membership. Lead discovery does not authorize sending messages or uploading contacts to another service.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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