mcpbeat

Apify Lead Generation

lingxling/apify-lead-generation

Scrape leads from multiple platforms using Apify Actors.

4k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lingxling/awesome-skills-cn --skill apify-lead-generation

The instruction itself

11 sections, as written by the author

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:

  • 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.

How to use it

Copy the folder

Take lingxling/apify-lead-generation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm. Without those the skill loads but fails at the first command.