anysite-lead-generation

What this skill does

# anysite Lead Generation

Professional lead generation and prospecting using the anysite MCP server. Find prospects on LinkedIn, discover verified emails, extract contacts from websites, and build comprehensive lead lists for sales, recruiting, and business development.

## Overview

The anysite Lead Generation skill helps you:
- **Find qualified prospects** on LinkedIn using advanced search filters
- **Enrich profiles** with work history, education, and skills
- **Discover email addresses** through LinkedIn email finding
- **Extract contact information** from company websites
- **Research companies** to identify target accounts
- **Build prospect lists** formatted for CRM import

This skill provides comprehensive lead generation capabilities with the added benefit of zero configuration and immediate execution through anysite MCP.

## Supported Platforms

- **LinkedIn** (Primary): People search, profile enrichment, email discovery, company research, employee listings
- **Web Scraping**: Contact extraction from websites, sitemap parsing, general web data
- **Instagram**: Business account discovery and profile analysis (supplementary)
- **Y Combinator**: Startup company and founder research (supplementary)

## v2 API Overview

All data fetching uses the universal `execute()` tool with four parameters: `source`, `category`, `endpoint`, `params`. Supporting tools:

- **`execute(source, category, endpoint, params)`** - Fetch data. Returns first page of items + `cache_key`.
- **`get_page(cache_key, offset, limit)`** - Load additional pages from a previous execute() result using the returned `cache_key` and `next_offset`.
- **`query_cache(cache_key, conditions, sort_by, aggregate, group_by)`** - Filter, sort, count, or aggregate already-fetched data without a new API call.
- **`export_data(cache_key, format)`** - Export a full dataset as CSV, JSON, or JSONL. Returns a download URL.
- **`discover(source, category)`** - Inspect available endpoints and their accepted params (use when unsure about params).

### Error Handling

v2 responses may include an `llm_hint` field with human-readable guidance when something goes wrong (e.g., invalid params, rate limits). Always check for `llm_hint` in the response and follow its advice before retrying.

## Quick Start

### Step 1: Identify Your Lead Source

Choose the appropriate data source based on your prospecting goal:

| Goal | v2 Call | Use Case |
|------|---------|----------|
| Find prospects by title/company | `execute("linkedin", "search", "search_users", {...})` | B2B prospecting, targeted outreach |
| Enrich existing leads | `execute("linkedin", "user", "get", {"user": ...})` | Add work history, education, skills |
| Find verified emails | `execute("linkedin", "email", "find", {"user": ...})` | Email outreach campaigns |
| Extract website contacts | `execute("webparser", "parse", "parse", {"url": ...})` | Get emails/phones from contact pages |
| Research target companies | `execute("linkedin", "search", "search_companies", {...})` | Account-based marketing (ABM) |
| Find company employees | `execute("linkedin", "search", "search_users", {...})` + company filter | Multi-threading into accounts |

### Step 2: Execute Data Collection

Use anysite MCP v2 tools directly to gather lead data:

**Example: Find Sales VPs in San Francisco**
```
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "search"
- endpoint: "search_users"
- params: {"title": "VP Sales", "location": "San Francisco Bay Area", "count": 25}
```

**Example: Enrich a LinkedIn Profile**
```
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "user"
- endpoint: "get"
- params: {"user": "linkedin.com/in/johndoe", "with_experience": true, "with_education": true, "with_skills": true}
```

**Example: Find Email Address**
```
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "email"
- endpoint: "find"
- params: {"user": "johndoe"}
```

**Example: Extract Contacts from Website**
```
Tool: mcp__anysite__execute
Parameters:
- source: "webparser"
- category: "parse"
- endpoint: "parse"
- params: {"url": "https://company.com/contact", "extract_contacts": true, "strip_all_tags": true}
```

### Step 3: Process and Analyze Results

After execute() returns data with a `cache_key`, use v2 post-processing:

- **Filter results**: `query_cache(cache_key, conditions=[{"field": "title", "operator": "contains", "value": "VP"}])`
- **Sort results**: `query_cache(cache_key, sort_by=[{"field": "follower_count", "order": "desc"}])`
- **Count results**: `query_cache(cache_key, aggregate=[{"function": "count", "field": "*"}])`
- **Get more pages**: `get_page(cache_key, offset=next_offset, limit=10)`

Also review the returned data for:
- **Profile completeness**: Work history, education, skills presence
- **Contact quality**: Email deliverability, phone format
- **Relevance scoring**: Title match, company fit, location alignment
- **Enrichment opportunities**: Missing data that can be filled

### Step 4: Format Output

Choose your preferred output format:

**Chat Summary (Default)**
- Displays top prospects with key details
- Includes actionable next steps
- Shows data quality metrics

**CSV Export (via v2 export_data)**
```
Tool: mcp__anysite__export_data
Parameters:
- cache_key: <cache_key from execute>
- format: "csv"
```
Returns a download URL. Ready for CRM import (Salesforce, HubSpot, etc.)

**JSON Export (via v2 export_data)**
```
Tool: mcp__anysite__export_data
Parameters:
- cache_key: <cache_key from execute>
- format: "json"
```
Returns a download URL. Structured data for custom integration.

## Common Workflows

### Workflow 1: LinkedIn B2B Prospecting

**Scenario**: Find 50 qualified prospects at SaaS companies in specific roles

**Steps**:

1. **Search for prospects**
```
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "search"
- endpoint: "search_users"
- params: {"keywords": "SaaS software cloud", "title": "Head of Marketing, VP Marketing, CMO", "location": "United States", "company_keywords": "software", "count": 50}
```

2. **Enrich top prospects** (for first 10-20 results)
```
For each prospect from step 1:
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "user"
- endpoint: "get"
- params: {"user": "<prospect_username>", "with_experience": true, "with_education": true}
```

3. **Find email addresses**
```
For each qualified prospect:
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "email"
- endpoint: "find"
- params: {"user": "<prospect_username>"}
```

4. **Export to CRM**
```
Tool: mcp__anysite__export_data
Parameters:
- cache_key: <cache_key from search>
- format: "csv"
```
Import the CSV to your CRM system and set up outreach sequences.

**Expected Output**:
- 50 prospects with LinkedIn profiles
- 10-20 enriched profiles with complete work history
- 5-15 verified email addresses
- CSV file ready for CRM import

### Workflow 2: Account-Based Marketing (ABM)

**Scenario**: Find decision-makers at specific target companies

**Steps**:

1. **Research target companies**
```
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "search"
- endpoint: "search_companies"
- params: {"keywords": "<your ICP description>", "industry": "<target industry>", "employee_count": ["51-200", "201-500"], "location": "<target location>", "count": 20}
```

2. **Get company details**
```
For each target company:
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "company"
- endpoint: "get"
- params: {"company": "<company_identifier or URL>"}
```

3. **Find employees at target companies**
```
For each target company:
Tool: mcp__anysite__execute
Parameters:
- source: "linkedin"
- category: "search"
- endpoint: "search_users"
- params: {"company_keywords": "<Company Name>", "title": "VP, Director, Head of, Chief", "count": 10}
```

4. **Enrich decision-makers**
```
For each decision-maker:
Tool: mcp__anysi