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    apify-lead-generation

    Generates B2B/B2C leads by scraping Google

    By @jirispilka
    View on GitHub
    SKILL.md
    ---
    name: apify-lead-generation
    description: 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.
    ---
    
    # 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 (for fetching Actor schemas)
    
    ## 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:
    
    ```bash
    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
    2. **Number of results**: Based on character of use case
    
    ### Step 4: Run the Script
    
    **Quick answer (display in chat, no file):**
    ```bash
    node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
      --actor "ACTOR_ID" \
      --input 'JSON_INPUT'
    ```
    
    **CSV:**
    ```bash
    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:**
    ```bash
    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`