Apify lead generation

Skill pinkpixel-dev/skills-collection-1/SKILLS/apify-lead-generation

Part 1 of a large AI and agent skills collection featuring 900+ reusable skill folders, prompt workflows, references, scripts, and assets across engineering, cloud, security, research, writing, design, and automation.

Install

npx -y skills add pinkpixel-dev/skills-collection-1 --skill apify-lead-generation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Scrape leads from multiple platforms using Apify Actors.

SKILL.md

4.1 KB, as published. Nobody here has run it

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 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

Gives 0 of the 12 instructions most sales crm skills give

Counted across 361 of the 361 authors here whose files we hold, read 2026-08-06

Read product marketing context before writing if it existsin 22 of 361, across 14 files
keep the ask low-frictionin 16 of 361, across 7 files
Call RUBE_SEARCH_TOOLS firstin 15 of 361, across 5 files
personalize every outbound messagein 13 of 361, across 4 files
confirm connection status is activein 13 of 361, across 4 files
Keep forwardable blurbs under 100 wordsin 13 of 361, across 4 files
State if personalization context is missingin 13 of 361, across 4 files
Cut any sentence that does not drive a replyin 13 of 361, across 4 files
Use proof instead of adjectivesin 12 of 361, across 3 files
Use a single, low-friction call to actionin 12 of 361, across 4 files
Calibrate tone to the specific audiencein 12 of 361, across 3 files
Make each follow-up email add new valuein 12 of 361, across 6 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.