LinkedIn Pending Invitations Export

What does LinkedIn Pending Invitations Export do?

LinkedIn Pending Invitations Export lists incoming LinkedIn connection invitations that are waiting for approval on the authenticated account. It is useful for queue visibility, review workflows, and downstream automation.

Built on the Apify platform, this Actor can be scheduled, connected to webhooks, and exported through Apify dataset formats.

Why use LinkedIn Pending Invitations Export?

• Inbox visibility - Export pending invitations into a structured dataset
• Workflow review - Route pending requests into approval or enrichment processes
• Reporting support - Track incoming invitation activity outside LinkedIn UI

How to use LinkedIn Pending Invitations Export

1. Open the Actor on Apify
2. Enter the required LinkedIn session fields
3. Start the Actor run
4. Review the output dataset for pending invitation records

Input

This Actor accepts the authenticated browser session fields required to read pending invitations from the account.

Proxy object

Use the proxy object to define how requests should be routed. Common fields are:

• ip - Proxy host or endpoint URL
• port - Proxy port
• username - Proxy username
• password - Proxy password

Example input:

{
  "li_at": "AQEFAREBAAAAAXAMPLE_SESSION_TOKEN",
  "JSESSIONID": "ajax:1234567890123456789",
  "bcookie": "v=2&example-browser-cookie",
  "liap": "true",
  "li_theme_set": "app",
  "li_theme": "light",
  "timezone": "Asia/Calcutta",
  "bscookie": "v=1&example-secure-browser-cookie",
  "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36",
  "timezoneOffset": "5.5",
  "csrf-token": "ajax:1234567890123456789",
  "profileId": "example-self-profile-123456",
  "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36",
  "x-li-track": "{\"clientVersion\":\"1.13.455\",\"mpVersion\":\"1.13.455\",\"osName\":\"web\",\"timezoneOffset\":5.5,\"timezone\":\"Asia/Calcutta\",\"deviceFormFactor\":\"DESKTOP\",\"mpName\":\"voyager-web\",\"displayDensity\":1,\"displayWidth\":1920,\"displayHeight\":1080}",
  "x-li-lang": "en_US",
  "X-Restli-Protocol-Version": "2.0.0",
  "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/",
  "proxy": {
    "ip": "http://proxy.example.com",
    "port": "1080",
    "username": "user_example|session_demo|type_mobile|lon_73.8502|lat_18.5211",
    "password": "example_proxy_password"
  }
}

Output

The Actor writes the extracted invitation records to the default dataset.

Example output:

{
  "success": true,
  "response": [
    {
      "firstName": "Avery",
      "lastName": "Stone",
      "headline": "Revenue Operations Manager",
      "liProfilePublicUrl": "https://www.linkedin.com/in/avery-stone-demo",
      "liProfileId": "ACoAAC8EXAMPLEPROFILEID",
      "invitationType": "RECEIVED",
      "sentAt": "2026-06-15T12:00:00.000Z",
      "timestamp": "2026-06-17T08:10:00.000Z"
    }
  ]
}

Pricing / Cost estimation

$0.0017 per successful API call on Apify.

Support

If you need adjustments for your workflow, use the Actor Issues tab or your internal support channel.