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Say how many profiles you want and which fields you need. Sai reads LinkedIn while signed in as you, pages through the results, and hands back a clean CSV. No API key, no cookie token, no credits.
The recording is a real session. The sheet on the right is what it produced.
Sai opens each profile, pulls the signal, and writes the row, live, in a real browser.
Eight columns, sorted by score, with a source link behind every claim.
A LinkedIn account you're already signed into. That's it - no API key, no session cookie, no proxy setup.
A downloadable CSV with one row per profile: name, title, company, and profile URL. Add or drop columns by editing the prompt.
It Takes About 12 minutes for 100 profiles.
Re-run monthly and Sai reports only the profiles that weren't in the last export.
LinkedIn profile data extraction means pulling structured fields out of LinkedIn profiles - name, title, company, location, profile URL - and landing them in a spreadsheet you can filter, sort, and import elsewhere.
The reason it needs automating is volume. Reading one profile takes seconds. Reading five hundred and typing each one into a sheet is a full day of work, and the copy-paste introduces errors you won't notice until the list is already in your CRM.
You can, but it only covers your own account and it arrives on LinkedIn's schedule, not yours.
LinkedIn's official Data Export gives you an archive of your own activity, including a connections file. Three things limit it:
The bigger limit is scope. The official export only contains people you're already connected to. Most extraction work is about profiles you haven't connected with yet - a search result, a company's employee list, the attendees of an event. None of that is in the archive.
Because the page you see and the data you want aren't the same shape.
Profile information on LinkedIn lives in a headline, not in tidy fields. Someone writes "Data Scientist | Ph.D in Statistics" and there's no company in it at all. Someone else writes "Building something new." A scraper returns those strings verbatim and leaves you to clean them.
On top of that, results are paginated and lazy-loaded, so anything reading the page has to scroll, wait, and keep going - for 500 profiles that's a dozen or more pages, each of which has to load fully before the next.
This is why most extraction tools ask for setup before they'll run: a session cookie, an API key, sometimes a proxy. They're rebuilding your logged-in browser from the outside.
It uses the browser you're already signed into, so there's nothing to authenticate.
You describe the export in plain English. Sai confirms the count, runs LinkedIn's people search, pages through the results, reads each entry, and writes the CSV. When the run finishes you get the file plus a note on what it found - including where a headline didn't follow a "Title at Company" pattern, so a company cell came back blank.
That last part matters more than it sounds. A silent gap in a 500-row export is a problem you discover three weeks later in your CRM. Sai tells you at handoff.
Those are capable extraction tools. The difference is how much you assemble before anything runs.
If you're building a data pipeline that runs a thousand times a day, an API-first scraper is the right tool and the setup pays for itself. If you need a list in a spreadsheet this afternoon, the setup is the whole cost.
The prompt above pulls name, title, company, and profile URL. Anything visible on the profile can go in the list - location, headline, current company size, mutual connections, or when you connected.
Edit the bracketed part of the prompt to change the count, and edit the field list to change the columns. If you'd rather have a Google Sheet than a CSV, say so in the prompt and that's what you'll get.
Start with 100. It takes about twelve minutes and it's enough to check the columns are what you expected before committing to a larger run.
Once the shape is right, scale up. For lists you maintain over time, set the task to re-run monthly - Sai reports only the profiles that weren't in the previous export, so you're reviewing new entries instead of re-reading the whole file.
No. Sai works inside your signed-in browser, so there's no token to generate and nothing to paste into a settings panel.
Yes. Anything you can reach in LinkedIn search while signed in, Sai can read and put in the sheet.
They still appear in the export, with the fields that could be parsed filled in and the rest left blank. Sai flags how many rows this affected rather than guessing at a company name.
Yes - ask for a Google Sheet in the prompt and Sai will create one and send you the link.
