# Add work emails to a prospect spreadsheet by name and domain

**Use case:** 

Paste spreadsheet rows that hold a person's name and company website. The task keeps your columns as they are and adds a work email and its status to each row you can export back to CSV.

## Input

```json
{
  "items": [
    {
      "Name": "Jane Doe",
      "Company Website": "stripe.com"
    },
    {
      "Name": "John Smith",
      "Company Website": "shopify.com"
    }
  ],
  "columnMap": {
    "Name": "fullName",
    "Company Website": "domain"
  },
  "fields": [
    "email"
  ],
  "limit": 25,
  "includeAudit": false
}
```

## Output

```json
{
  "fullName": {
    "label": "Name",
    "format": "string"
  },
  "email": {
    "label": "Email",
    "format": "string"
  },
  "emailStatus": {
    "label": "Email status",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "jobTitle": {
    "label": "Title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "profileUrl": {
    "label": "Profile",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The CSV Contact Enrichment - Fill Contact Data in Any Columns Actor is ready to run with the inputs already set for "Add work emails to a prospect spreadsheet by name and domain". [Sign up or log in](https://console.apify.com/create-task-from-example/hK2e5wVZrZWWYyDPU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Add work emails to a prospect spreadsheet by name and domain" task

The CSV Contact Enrichment - Fill Contact Data in Any Columns Actor will start running based on the input automatically. You can also change all the input fields, like rows to enrich (one object per csv row, any column names), which column is which (optional), and more, to match your specific use case.

### 3. Receive the "Add work emails to a prospect spreadsheet by name and domain" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, email, email status, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Add work emails to a prospect spreadsheet by name and domain" task via API](https://apify.com/b2bdata/contact-enrich-csv.md).

## FAQ

### What does the prospect spreadsheet email task return for each row?

The prospect spreadsheet email task returns every row you sent, unchanged, plus a work email and an email status such as valid, catch_all or unknown when one is found for that person.

### What input do I need to add work emails to my sheet?

Provide rows as a list of objects with a full name and a company domain. Use columnMap to say which of your columns is the name and which is the domain, and set fields to email.

### How do I run spreadsheet email enrichment from the API, on a schedule or into a spreadsheet?

Run this spreadsheet email enrichment task from the Apify console, call it through the API with your own input, or put it on a schedule. Export the dataset as CSV or JSON to open it in Google Sheets or Excel.

### Are the emails in this task checked before I send a campaign?

This task reports an email status per row, and unknown is common because no mailbox check is run. Verify the list with a separate verification step before sending outreach.

## About this Actor

This example demonstrates how to use [CSV Contact Enrichment - Fill Contact Data in Any Columns](https://apify.com/b2bdata/contact-enrich-csv.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bdata/contact-enrich-csv.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/b2bdata/contact-enrich-csv.md

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`).