# Lead List Deduplicator & Merger (`alaudinburki/lead-list-deduplicator`) Actor

Clean and merge lead lists: collapse duplicates by email, domain, or phone with smart normalization (gmail dots/+tags, www, phone formats) and merge each group into one complete row — with a report of what was merged. No silent drops.

- **URL**: https://apify.com/alaudinburki/lead-list-deduplicator.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Lead List Deduplicator & Merger

Clean and merge lead lists: collapse duplicates by email, domain, or phone with smart normalization (gmail dots/+tags, www, phone formats) and merge each group into one complete row — with a report of what was merged. No silent drops.

Built reliability-first: **every row reports what was found and what was missing** — you never get a
silent blank, and a run summary tells you exactly what happened.

### What you get

Returns one clean, structured row per result. Every row reports its own status so you never get a silent blank.

### How to use it

1. Fill in the input (see the example below).
2. Run it once for a snapshot, or **schedule it** to keep the data fresh.
3. Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

### Input

```json
{
  "datasetIds": [],
  "items": [],
  "keyFields": [
    "email"
  ],
  "mergeStrategy": "first",
  "dropRowsWithoutKey": false
}
```

### Sample output

```json
[
{
  "result": "example",
  "status": "ok",
  "scrapedAt": "2026-09-03T09:00:00.000Z"
}
]
```

### Typical uses

- **After lead-finder** — dedupe by domain or email before outreach.
- **Merge sources** — combine several scraper runs into one clean list.
- **Pre-CRM cleanup** — collapse duplicates so you don't double-contact anyone.

### Pricing

**$0.50 / 1,000 results** (`$0.0005` per result), plus a near-zero start fee. You are **never charged beyond your limit**, and blocked or
failed items are reported honestly — not billed as data.

### FAQ & limitations

- Public data only — no login walls, no cookies required.
- Rate limits on the source may require the proxy or a retry on very large pulls.
- Every row reports its own status, so partial results are always labeled, never faked.
- **Integrations:** output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
- **Formats:** results export as JSON, CSV, Excel, or HTML from the dataset.

### Related actors

- **Email Verifier**
- **Lead List Deduplicator**
- **Website Contact Finder**

# Actor input Schema

## `datasetId` (type: `string`):

An Apify dataset to clean (e.g. a lead-finder run's defaultDatasetId).

## `datasetIds` (type: `array`):

Merge and dedupe across multiple datasets at once.

## `items` (type: `array`):

Rows to deduplicate directly, if you have no dataset.

## `keyFields` (type: `array`):

Fields that identify a duplicate. Common: email, website/domain, phone. Multiple fields = a row must match on ALL of them to be a duplicate. Email/domain/phone are normalized smartly.

## `mergeStrategy` (type: `string`):

How to combine duplicates: first (keep earliest non-empty value, fill gaps from others), last, or mostComplete (start from the fullest row).

## `dropRowsWithoutKey` (type: `boolean`):

Off (default): rows lacking the match field are kept and flagged \_noKey. On: they're dropped.

## `maxItems` (type: `integer`):

Cap on unique rows returned. Leave empty to return all.

## Actor input object example

```json
{
  "datasetIds": [],
  "items": [
    {
      "name": "Ann Lee",
      "email": "ann@example.com",
      "company": "Acme Inc"
    },
    {
      "name": "Ann M. Lee",
      "email": "ann@example.com",
      "phone": "555-0100"
    },
    {
      "name": "Ben Cole",
      "email": "ben@example.com",
      "company": "Beta LLC"
    }
  ],
  "keyFields": [
    "email"
  ],
  "mergeStrategy": "first",
  "dropRowsWithoutKey": false
}
```

# Actor output Schema

## `results` (type: `string`):

The dataset of results produced by this run.

# 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 = {
    "datasetIds": [],
    "items": [
        {
            "name": "Ann Lee",
            "email": "ann@example.com",
            "company": "Acme Inc"
        },
        {
            "name": "Ann M. Lee",
            "email": "ann@example.com",
            "phone": "555-0100"
        },
        {
            "name": "Ben Cole",
            "email": "ben@example.com",
            "company": "Beta LLC"
        }
    ],
    "keyFields": [
        "email"
    ],
    "mergeStrategy": "first"
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/lead-list-deduplicator").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 = {
    "datasetIds": [],
    "items": [
        {
            "name": "Ann Lee",
            "email": "ann@example.com",
            "company": "Acme Inc",
        },
        {
            "name": "Ann M. Lee",
            "email": "ann@example.com",
            "phone": "555-0100",
        },
        {
            "name": "Ben Cole",
            "email": "ben@example.com",
            "company": "Beta LLC",
        },
    ],
    "keyFields": ["email"],
    "mergeStrategy": "first",
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/lead-list-deduplicator").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "datasetIds": [],
  "items": [
    {
      "name": "Ann Lee",
      "email": "ann@example.com",
      "company": "Acme Inc"
    },
    {
      "name": "Ann M. Lee",
      "email": "ann@example.com",
      "phone": "555-0100"
    },
    {
      "name": "Ben Cole",
      "email": "ben@example.com",
      "company": "Beta LLC"
    }
  ],
  "keyFields": [
    "email"
  ],
  "mergeStrategy": "first"
}' |
apify call alaudinburki/lead-list-deduplicator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaudinburki/lead-list-deduplicator"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tcChXj5e799UjnFRo/builds/aC6qEzLncFHQ7AHnA/openapi.json