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SKILL verified MIT Self-run

Apify Lead Generation

skill-tmolavi-mcp-agent-skills-hub-apify-lead-generation · by tmolavi

Scrape leads from multiple platforms using Apify Actors.

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Install

$ agentstack add skill-tmolavi-mcp-agent-skills-hub-apify-lead-generation

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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17d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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

(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
  1. 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

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.