# Find Salesforce Decision Makers on LinkedIn by Name

**Use case:** 

Find known Salesforce stakeholders on LinkedIn and return matching public profiles for B2B sales research. Results include each person’s headline, current title when available, current company, location and profile URL. Change the names or currentCompany input to adapt the search.

## Input

```json
{
  "names": [
    "Marc Benioff",
    "Parker Harris",
    "Brian Millham",
    "Amy Weaver",
    "Clara Shih"
  ],
  "maxResultsPerName": 20,
  "currentCompany": "Salesforce",
  "enrichProfiles": true,
  "includeHeadlinesFromSearchEngines": false
}
```

## Output

```json
{
  "name": {
    "label": "Name"
  },
  "headline": {
    "label": "Headline"
  },
  "location": {
    "label": "Location"
  },
  "currentCompany": {
    "label": "Current company"
  },
  "profileUrl": {
    "label": "Profile url"
  },
  "searchName": {
    "label": "Search name"
  }
}
```

## How it works

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

The LinkedIn People Search by Name with Company & School Filters Actor is ready to run with the inputs already set for "Find Salesforce Decision Makers on LinkedIn by Name". [Sign up or log in](https://console.apify.com/create-task-from-example/tkROg82FFtlLGZbaT) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Salesforce Decision Makers on LinkedIn by Name" task

The LinkedIn People Search by Name with Company & School Filters Actor will start running based on the input automatically. You can also change all the input fields, like names to search, max results per name, and more, to match your specific use case.

### 3. Receive the "Find Salesforce Decision Makers on LinkedIn by Name" 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, headline, location, 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 "Find Salesforce Decision Makers on LinkedIn by Name" task via API](https://apify.com/vexaloom-labs/linkedin-people-search-by-name-with-company.md).

## About this Actor

This example demonstrates how to use [LinkedIn People Search by Name with Company & School Filters](https://apify.com/vexaloom-labs/linkedin-people-search-by-name-with-company.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/linkedin-people-search-by-name-with-company.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/vexaloom-labs/linkedin-people-search-by-name-with-company.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`).