Install
$ agentstack add skill-tmolavi-mcp-agent-skills-hub-apify-lead-generation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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:
- 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
- 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.
- Author: tmolavi
- Source: tmolavi/mcp-agent-skills-hub
- License: MIT
- Homepage: https://molavi.pro
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.