# AI Cold Email Personalizer (`fuze/ai-cold-email-personalizer`) Actor

Turn a list of domains into personalized cold-email openers — AI reads each company's website and writes a tailored hook, subject and draft. Actively maintained. · More no-code data tools → datatools-hub.vercel.app

- **URL**: https://apify.com/fuze/ai-cold-email-personalizer.md
- **Developed by:** [Fredrik Hansson](https://apify.com/fuze) (community)
- **Categories:** AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $66.00 / 1,000 personalized email generateds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## AI Cold Email Personalizer

**Personalized cold-email openers at scale — AI reads each prospect's website and writes a tailored hook, subject and draft.**

Generic cold emails get ignored. Researching every prospect by hand doesn't scale. Give this Actor a list of prospect domains and what you sell — for each company it reads the website, finds a specific, real **hook**, and writes a natural **opener**, a **subject line** and a short **email draft** you can drop straight into your sequencing tool (Instantly, Smartlead, Lemlist, Clay, HubSpot…).

![AI Cold Email Personalizer — input and sample output](https://datatools-hub.vercel.app/actor-shots/ai-cold-email-personalizer.png)

### Quick start

1. **Fill in the input** — set the fields in the input tab (prefilled with a working example).
2. **Click Start** — the Actor runs and writes one record per item to the dataset.
3. **Get your data** — export to **JSON, CSV or Excel**, or pull it via the API.

```json
// input
{ "domains": ["acme.com", "globex.com"], "yourOffering": "We cut B2B SaaS churn with an AI customer-health platform." }
```

```json
// per-prospect output
{ "domain": "acme.com", "companyName": "Acme", "hook": "Acme just launched a usage-based pricing tier",
  "subject": "Your new usage-based tier + churn", "opener": "Congrats on the new usage-based plan — that shift usually makes early churn signals even more valuable to catch.",
  "emailDraft": "Hi there — saw Acme just rolled out usage-based pricing... [3-4 sentences]" }
```

### Use cases

- **Outbound sales / SDRs** — personalize hundreds of cold emails without manual research.
- **Agencies / lead-gen** — enrich a domain list into ready-to-send, personalized first-touches.
- **Clay / Instantly / Smartlead users** — plug this in as the personalization step.
- **Agent tool** — via Apify MCP, an agent can draft a personalized email for any prospect.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `domains` | `string[]` | — (required) | Prospect domains/URLs/emails. |
| `yourOffering` | `string` | — (required) | What you sell. |
| `senderName` | `string` | — | Your name (optional). |
| `tone` | `string` | friendly, concise, professional | Email tone. |
| `maxResults` | `integer` | `100` | Max prospects (one charge each). |
| `maxConcurrency` | `integer` | `5` | Parallel prospects. |
| `model` | `string` | `gpt-4o-mini` | OpenAI model. |

### Output

One record per prospect: `companyName`, `hook`, `subject`, `opener`, `emailDraft`. The model only uses facts from the site — it won't invent.

### Pricing

Pay-per-event: one **`email-personalized`** event per prospect.

### Environment variables

| Variable | Required | Purpose |
|---|---|---|
| `OPENAI_API_KEY` | **Yes** | Powers the personalization. |

### License

ISC.

### Related actors

- [AI Company Enrichment](https://apify.com/fuze/ai-company-enrichment) — Turn a list of domains into structured company profiles — firmographics, contacts
- [Signal Radar — AI Account Intelligence & ICP Scoring](https://apify.com/fuze/signal-radar) — Turn company domains into ICP-scored, signal-tagged account intelligence from public
- [Google Maps Lead Enricher (AI)](https://apify.com/fuze/google-maps-lead-enricher) — Takes company lists from popular Google Maps scrapers and turns them into sales-ready

# Actor input Schema

## `domains` (type: `array`):

Company domains, URLs or emails (one per line).

## `yourOffering` (type: `string`):

Describe what you offer, so the pitch connects to each prospect.

## `senderName` (type: `string`):

Your name, used to sign the email (optional).

## `tone` (type: `string`):

e.g. friendly, direct, formal.

## `maxResults` (type: `integer`):

Max prospects to personalize (one charge each).

## `maxConcurrency` (type: `integer`):

How many prospects to process in parallel.

## `model` (type: `string`):

Default gpt-4o-mini.

## Actor input object example

```json
{
  "domains": [
    "stripe.com",
    "linear.app"
  ],
  "yourOffering": "We help B2B SaaS teams cut churn with an AI customer-health platform.",
  "tone": "friendly, concise, professional",
  "maxResults": 100,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `emails` (type: `string`):

Personalized emails in the default dataset.

# 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 = {
    "domains": [
        "stripe.com",
        "linear.app"
    ],
    "yourOffering": "We help B2B SaaS teams cut churn with an AI customer-health platform."
};

// Run the Actor and wait for it to finish
const run = await client.actor("fuze/ai-cold-email-personalizer").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 = {
    "domains": [
        "stripe.com",
        "linear.app",
    ],
    "yourOffering": "We help B2B SaaS teams cut churn with an AI customer-health platform.",
}

# Run the Actor and wait for it to finish
run = client.actor("fuze/ai-cold-email-personalizer").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 '{
  "domains": [
    "stripe.com",
    "linear.app"
  ],
  "yourOffering": "We help B2B SaaS teams cut churn with an AI customer-health platform."
}' |
apify call fuze/ai-cold-email-personalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fuze/ai-cold-email-personalizer"
        }
    }
}
```

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/8fIUwhJSIkl24PJ5f/builds/4B11qL7wgobBfWWAc/openapi.json