# Vertical Lead Pack (`enezli/vertical-lead-pack`) Actor

Decision-maker leads for one vertical (real estate or clinics). Merges multi-source data into one contact record per business: dedup, named decision-maker and vertical-specific fields. Reach the person who actually signs off, not a generic inbox.

- **URL**: https://apify.com/enezli/vertical-lead-pack.md
- **Developed by:** [Turgay NANTA](https://apify.com/enezli) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 enriched leads

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Vertical Lead Pack — Named Decision-Makers + Send-Readiness

Turns raw, multi-source business data for a **single vertical** (real estate / clinic) into a **decision-maker-ready lead pack**. Generic scrapers hand you a flat contact list; this actor finds the **named decision-maker**, adds **vertical-specific attributes**, and tells you **who to email first**.

### What it does
Connect the output of a Maps/web/directory scraper (or your own record list). For each business the actor:

- **Merges multi-source data** into one rich record (cross-source dedup) — split fragments from Maps + web + social become a single lead
- **Extracts the named decision-maker** — surfaces the clinic's chief physician or the agency's broker by name, instead of a generic `info@`
- **Adds vertical-specific attributes** — real estate: brokerage · license no · office-or-agent; clinic: specialty · booking channel
- **Scores send-readiness** — a deterministic `READY` / `REVIEW` / `WEAK` verdict + reason for every lead
- **Ranks priority (0–100)** + a "reach these first" shortlist so the salesperson starts with the best leads

### Why it's different
Most lead scrapers stop at a raw contact dump. This actor **behaves like a sales researcher**: it decides who the real decision-maker is, enriches each lead with attributes that drive segmentation and personalization, and flags which leads are actually worth contacting. No LLM, fully deterministic → no hallucination, low cost, predictable output.

### Input
| Field | Description |
|---|---|
| `vertical` | The vertical: **Real Estate** or **Healthcare / Clinic** (decision-maker rules + attribute fields change accordingly) |
| `records` | Raw records to merge (output of a Maps/web/directory scraper). `contacts[{name,title,email}]` powers decision-maker extraction |
| `datasetId` | OR the ID of a connected Apify dataset |
| `searchTerms` | OR, when you have no data, terms used to call an upstream Maps scraper |
| `maxPlaces` | Max places per search in scrape mode |

### Output
Delivered in two layers:

- **Dataset (table view):** one row per lead with flat, scannable columns — `priority` · `business` · `decision_maker_name` · `decision_maker_title` · `decision_maker_email` · `vertical_attributes` · `send_readiness`. Sort, filter, and export directly.
- **Full record (per lead):** `business`, `website`, `phone`, `address`, `vertical`, **`decision_maker`** (name / title / email / source / role-account flag), **`vertical_fields`** (real estate: brokerage / license_no / office_or_agent · clinic: specialty / booking_channel), `socials`, `all_emails`, **`send_readiness`** (`READY` / `REVIEW` / `WEAK`) + reason. A final `_summary` row carries totals, verdict distribution, and the priority-ranked **reach-first list**.

### Why this actor
1. **Multi-source merge** → one rich record per business (cross-source dedup, multi-key bridging, false-merge shield).
2. **Decision-maker extraction** → a named broker / chief physician instead of `info@`.
3. **Vertical-specific attributes** → real estate brokerage/license · clinic specialty (for segmentation + personalization).
4. **Send-readiness verdict** → niche leads are expensive; hit the best ones first.

Niche focus = lower competition + higher margin + a clear buyer.

### How to use
1. Collect your business data with a Maps/web/directory scraper (or paste your own list).
2. Connect the output to this actor as `records` (or `datasetId`).
3. Pick the vertical (real estate / clinic) → **Start**.
4. Grab your prioritized lead pack from the Dataset tab.

### Pricing (Pay-Per-Event)
You only pay for what you use: per run + per 100 records processed + per enriched lead. No monthly subscription.

# Actor input Schema

## `vertical` (type: `string`):

The single vertical the lead pack focuses on. Decision-maker rules and the extracted attribute fields change accordingly.
## `records` (type: `array`):

Raw business records to merge (output of a Maps/web/directory scraper connected directly). The name/title, website, phone, emails, contacts[{name,title,email}] and social fields are auto-detected.
## `datasetId` (type: `string`):

Instead of records: the ID of an Apify dataset containing the raw records to merge.
## `searchTerms` (type: `array`):

If no dataset is given, these vertical terms are used to call an upstream Maps scraper (e.g. 'orthodontics clinic London'). Scraping is left to upstream; this actor's focus is producing the vertical decision-maker pack.
## `maxPlaces` (type: `integer`):

When searchTerms is provided, the maximum number of places to fetch per search.

## Actor input object example

```json
{
  "vertical": "emlak",
  "records": [
    {
      "title": "Acme Orthodontics Clinic",
      "url": "https://acmeortho.com",
      "phone": "+1 212 555 12 34",
      "emails": [
        "appointments@acmeortho.com"
      ],
      "social": [
        "instagram.com/acmeortho"
      ]
    },
    {
      "name": "Acme Ortho Center",
      "website": "acmeortho.com",
      "contacts": [
        {
          "name": "Dr. Jane Carter",
          "title": "Chief Physician",
          "email": "jane.carter@acmeortho.com"
        }
      ],
      "rawText": "Implant and orthodontics specialist clinic"
    }
  ],
  "maxPlaces": 50
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "records": [
        {
            "title": "Acme Orthodontics Clinic",
            "url": "https://acmeortho.com",
            "phone": "+1 212 555 12 34",
            "emails": [
                "appointments@acmeortho.com"
            ],
            "social": [
                "instagram.com/acmeortho"
            ]
        },
        {
            "name": "Acme Ortho Center",
            "website": "acmeortho.com",
            "contacts": [
                {
                    "name": "Dr. Jane Carter",
                    "title": "Chief Physician",
                    "email": "jane.carter@acmeortho.com"
                }
            ],
            "rawText": "Implant and orthodontics specialist clinic"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("enezli/vertical-lead-pack").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "records": [
        {
            "title": "Acme Orthodontics Clinic",
            "url": "https://acmeortho.com",
            "phone": "+1 212 555 12 34",
            "emails": ["appointments@acmeortho.com"],
            "social": ["instagram.com/acmeortho"],
        },
        {
            "name": "Acme Ortho Center",
            "website": "acmeortho.com",
            "contacts": [{
                    "name": "Dr. Jane Carter",
                    "title": "Chief Physician",
                    "email": "jane.carter@acmeortho.com",
                }],
            "rawText": "Implant and orthodontics specialist clinic",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("enezli/vertical-lead-pack").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "records": [
    {
      "title": "Acme Orthodontics Clinic",
      "url": "https://acmeortho.com",
      "phone": "+1 212 555 12 34",
      "emails": [
        "appointments@acmeortho.com"
      ],
      "social": [
        "instagram.com/acmeortho"
      ]
    },
    {
      "name": "Acme Ortho Center",
      "website": "acmeortho.com",
      "contacts": [
        {
          "name": "Dr. Jane Carter",
          "title": "Chief Physician",
          "email": "jane.carter@acmeortho.com"
        }
      ],
      "rawText": "Implant and orthodontics specialist clinic"
    }
  ]
}' |
apify call enezli/vertical-lead-pack --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=enezli/vertical-lead-pack",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Vertical Lead Pack",
        "description": "Decision-maker leads for one vertical (real estate or clinics). Merges multi-source data into one contact record per business: dedup, named decision-maker and vertical-specific fields. Reach the person who actually signs off, not a generic inbox.",
        "version": "0.1",
        "x-build-id": "aLqIBOLKD4eopfbWi"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/enezli~vertical-lead-pack/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-enezli-vertical-lead-pack",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/enezli~vertical-lead-pack/runs": {
            "post": {
                "operationId": "runs-sync-enezli-vertical-lead-pack",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/enezli~vertical-lead-pack/run-sync": {
            "post": {
                "operationId": "run-sync-enezli-vertical-lead-pack",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "vertical"
                ],
                "properties": {
                    "vertical": {
                        "title": "Vertical (industry)",
                        "enum": [
                            "emlak",
                            "klinik"
                        ],
                        "type": "string",
                        "description": "The single vertical the lead pack focuses on. Decision-maker rules and the extracted attribute fields change accordingly.",
                        "default": "emlak"
                    },
                    "records": {
                        "title": "Raw records (multi-source)",
                        "type": "array",
                        "description": "Raw business records to merge (output of a Maps/web/directory scraper connected directly). The name/title, website, phone, emails, contacts[{name,title,email}] and social fields are auto-detected."
                    },
                    "datasetId": {
                        "title": "OR: connected dataset ID",
                        "type": "string",
                        "description": "Instead of records: the ID of an Apify dataset containing the raw records to merge."
                    },
                    "searchTerms": {
                        "title": "OR: search terms (optional scrape)",
                        "type": "array",
                        "description": "If no dataset is given, these vertical terms are used to call an upstream Maps scraper (e.g. 'orthodontics clinic London'). Scraping is left to upstream; this actor's focus is producing the vertical decision-maker pack.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxPlaces": {
                        "title": "Max places per search (scrape mode)",
                        "type": "integer",
                        "description": "When searchTerms is provided, the maximum number of places to fetch per search.",
                        "default": 50
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```