# Enrich a LinkedIn profile URL list with phone and job title

**Use case:** 

Provide rows that hold a LinkedIn profile URL and a company website. The task keeps your columns and adds phone number, job title and current company to each row it can match, ready to export as CSV.

## Input

```json
{
  "items": [
    {
      "LinkedIn URL": "https://www.linkedin.com/in/jane-doe-example",
      "Company Website": "microsoft.com"
    },
    {
      "LinkedIn URL": "https://www.linkedin.com/in/john-smith-example",
      "Company Website": "notion.so"
    }
  ],
  "columnMap": {
    "LinkedIn URL": "linkedin",
    "Company Website": "domain"
  },
  "fields": [
    "phone",
    "jobTitle",
    "company"
  ],
  "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 "Enrich a LinkedIn profile URL list with phone and job title". [Sign up or log in](https://console.apify.com/create-task-from-example/0Znjk4DpPcM2fNs5N) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Enrich a LinkedIn profile URL list with phone and job title" 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 "Enrich a LinkedIn profile URL list with phone and job title" 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 "Enrich a LinkedIn profile URL list with phone and job title" task via API](https://apify.com/b2bdata/contact-enrich-csv.md).

## FAQ

### What does the LinkedIn URL enrichment task add to my rows?

The LinkedIn URL enrichment task returns your original columns plus the fields you select: phone number, job title and current company, along with the matched profile URL.

### What input is needed to enrich a list of LinkedIn profile URLs?

Provide rows as objects with a LinkedIn profile URL in any column, then map that column to linkedin in columnMap. Choose phone, jobTitle or company in fields to decide what gets added.

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

Run this LinkedIn URL list 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.

### What happens to rows without a match in the LinkedIn URL enrichment task?

Rows the LinkedIn URL enrichment task cannot match are listed in the run's misses record instead of the dataset, so you can see which profiles to check by hand.

## 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`).