I'm seeing data like the following:

    "comments": [
      {
        "name": "Austin Coker",
        "link": "https://www.linkedin.comhttps://www.linkedin.com/in/ACoAABsxgfQB76Eg2AeUe-WkFGp0HwpzjNddMi4",
        "comment": "I appreciate the honesty."
      },

It seems this is the faulty line:

I was trying to connect An error occurred: Pending, already connected, or weekly limit exceeded
`const Linkout = require("linkout-scraper");
const puppeteer = require("puppeteer");

(async () => {
const browser = await puppeteer.launch({
headless: false,
});
const page = await #browser.newPage();
const cdp = await page.target().createCDPSession();

await page.setViewport({
width: 1440,
height: 900,
});

// add ghost-cursor for maximum safety
await Linkout.tools.loadCursor(page, true);

// Login with LinkedIn
await Linkout.services.login(page, cdp, {
cookie: LI_AT,
});

// Connect on LinkedIn
await Linkout.services.connect(page, cdp, {
message: "Hola! {{firstName}}, Espero que vaya bien el Q :) Me encantaría conectar contigo para intercambiar experiencias. Un saludo!!",
url: "https://www.linkedin.com/in/profile/",
});

})();`

Req:

• Text

Optional:

• Media

Currently supported placeholders:

• {{firstName}}
• {{lastName}}
• {{fullName}}

Req:

• {{companyName}}

Issue description:
Close current message tab after sending message in Linkout.services.message

Root cause:
Keeping all message tabs opens can send message to wrong person. Disturbs mouse clicks of other services.

Proposed fix:
Once messaged, close the tab. Thereby at given point no message tabs are open

How can I execute or integrate your script in Docker?

Can I implement the following with the tool:
Only visit users who like the hashtag XYZ?
https://www.linkedin.com/feed/hashtag/?keywords=XYZ

Does this script only work in "visit" profile mode?
Without liking, commenting etc.

Thanks

I am curious about what other ways are there to extract li_at so that user don't have to install chrome extension or take it from cookies ? Can the tokens that we get from "Login with Linkedin" be useful for this ?