Apify Lead Generation
Published by apify in agent-skills
What this skill does
Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.
Add Apify Lead Generation to your agent
Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.
Install with a prompt
Paste this into a compatible coding agent:
add this skill "apify-lead-generation" from https://github.com/apify/agent-skillsInstall with the CLI
Run this command in a controlled environment after reviewing the repository:
npx skills add https://github.com/apify/agent-skills --skill apify-lead-generationSkill instructions
Lead Generation
Scrape leads from multiple platforms using Apify Actors.
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
Files included
- SKILL.md
- reference/scripts/run_actor.js

