# Bulk LinkedIn Profile Enrichment from URLs

**Use case:** 

Paste a list of LinkedIn profile URLs and get structured public profile data: name, headline, current company, location and recent activity, with optional public email discovery. For CRM enrichment and recruiting.

## Input

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "https://www.linkedin.com/in/jeffweiner08/"
  ],
  "maxProfiles": 25,
  "mode": "public",
  "includeRecentActivity": true,
  "maxActivityItems": 5,
  "discoverPublicEmails": false,
  "maxEmailSources": 5,
  "linkedInRegion": "in",
  "requestDelaySecs": 1,
  "maxRetries": 1,
  "dryRun": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "profileUrl": {
    "label": "Profile URL",
    "format": "link"
  },
  "fullName": {
    "label": "Name",
    "format": "text"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "currentCompany": {
    "label": "Current company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "followerCount": {
    "label": "Followers",
    "format": "number"
  },
  "connections": {
    "label": "Connections",
    "format": "text"
  },
  "qualityScore": {
    "label": "Quality",
    "format": "number"
  },
  "sourceMode": {
    "label": "Source",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  }
}
```

## How it works

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

The LinkedIn Profile Scraper & Public Email Finder Actor is ready to run with the inputs already set for "Bulk LinkedIn Profile Enrichment from URLs". [Sign up or log in](https://console.apify.com/create-task-from-example/gRgWWAOaN50lJaMsA) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Bulk LinkedIn Profile Enrichment from URLs" task

The LinkedIn Profile Scraper & Public Email Finder Actor will start running based on the input automatically. You can also change all the input fields, like linkedin profile urls or public identifiers, maximum profiles, and more, to match your specific use case.

### 3. Receive the "Bulk LinkedIn Profile Enrichment from URLs" 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 profile url, name, headline, 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 "Bulk LinkedIn Profile Enrichment from URLs" task via API](https://apify.com/generous_fog/linkedin-profile-scraper-public-email-finder.md).

## About this Actor

This example demonstrates how to use [LinkedIn Profile Scraper & Public Email Finder](https://apify.com/generous_fog/linkedin-profile-scraper-public-email-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/generous_fog/linkedin-profile-scraper-public-email-finder.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/generous_fog/linkedin-profile-scraper-public-email-finder.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`).