Linkedin Open Profile Status

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LinkedIn Open Profile Status

This Actor checks whether a LinkedIn profile shows Open to work.

It uses two strategies (based on your original scripts):

• HTTP + HTML signal extraction (fast)
• Playwright badge detection (more robust)

It starts with no proxy and only falls back to proxies if LinkedIn blocks the request.

Key Features

• Bulk input (URLs and/or keywords)
• Detailed Apify logs (proxy events, blocks, retries)
• Proxy fallback ladder:
  • Direct → Datacenter proxy → Residential proxy (retry residential 3x)
  • Once residential is used, the Actor sticks to residential for the remaining requests
• Live saving to dataset

Input

Example input:

{
"startUrls":[{"url":"https://www.linkedin.com/in/ajjames"}],
"keywords":[],
"liAtCookie":"YOUR_LI_AT_COOKIE",
"proxyConfiguration":{"useApifyProxy":false},
"maxConcurrency":1,
"pageTimeoutSeconds":60
}

Input fields

• startUrls: bulk URL input (recommended)
• urls: optional array of URLs
• keywords: optional array of public identifiers (e.g., "ajjames")
• liAtCookie: optional li_at cookie value (recommended to reduce blocking)
• proxyConfiguration: Apify proxy UI field (default: no proxy)
• maxConcurrency: concurrency (keep low to avoid blocks)
• pageTimeoutSeconds: Playwright page timeout

Output

Single profile

The Actor writes OUTPUT in the key-value store using this shape:

{
"data":{"open_to_work":false},
"message":"ok"
}

Bulk

For multiple profiles, OUTPUT is an array of:

{"url":"...","data":{"open_to_work":false},"message":"ok"}

All results are also saved to the default dataset.

How to run locally

Install dependencies and run:

cd Linkedin-Open-Profile-Status
pip install-r requirements.txt
python -m src

Cautions

• This Actor should be used in compliance with LinkedIn’s Terms of Service and applicable laws.
• Never share your li_at cookie publicly.