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Sai exports your existing connections into a CSV you can actually sort - name, title, company, profile URL. Most people find dozens of warm contacts they forgot they had, sitting one degree away.
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. No API key, no session cookie, no automation extension.
A downloadable CSV with one row per connection: name, title, company, and profile URL. Sort it by company to see where your network actually concentrates.
About 6 minutes for 500 connections.
Re-run monthly and Sai reports only the connections that weren't in the last export.
Automated LinkedIn connections usually means sending connection requests in bulk - loading a list of profiles into a tool and letting it fire invitations on your behalf, day after day, up to whatever cap the tool recommends.
There's a second thing the phrase can mean, and it's the one worth doing first: automating the work of understanding the network you already have. Exporting it, sorting it, and finding the people in it you should be talking to.
Almost everyone who tries the second one discovers they didn't need as much of the first one as they thought.
Yes, and the risk lands on your account rather than on the tool.
LinkedIn's policy prohibits third-party software that automates activity on the platform, and accounts found using it can be restricted or permanently lost. Invitations are also capped, which is why every automation vendor publishes a recommended daily number - they're pacing you under a ceiling LinkedIn enforces.
Two other costs get less attention. Pending invitations accumulate against you, and a low acceptance rate is itself a signal. And every request you send to a stranger is a request you didn't send to someone who would have said yes.
Exporting your connections involves none of this. Reading pages you're already allowed to see, while signed in as yourself, isn't automated activity on the platform - it's the same thing you'd do by hand, faster.
Because the list is almost always more valuable than people expect, and nobody has ever actually looked at it.
A few things surface the moment your network is in a spreadsheet instead of an infinite scroll:
You can't see any of this inside LinkedIn's interface. The connections page shows a few dozen at a time, sorted by recency, with no way to group or filter properly.
You can, and it's free - but it arrives on LinkedIn's schedule and in LinkedIn's shape.
The official Data Export is a request-and-wait flow. Larger archives can take up to 24 hours, and the download link expires 72 hours after it's ready. It isn't available on mobile. You take the fields LinkedIn chooses to include, and some come back blank - connections who've restricted their contact settings show up without an email address.
The deeper limit is that the archive only covers people you're already connected to. If you want the same structured list for a search result, a company's employee list, or your followers, the archive has nothing for you. This task does.
It works inside the browser you're already signed into, so there's nothing to authenticate and nothing to install.
You say how many connections you want and which fields you need. Sai confirms the count, runs LinkedIn's people search, pages through the results, reads each entry, and writes the CSV. For 100 connections that's around thirteen pages of results, each of which has to load fully before the next.
When it finishes you get the file plus a note on what it found - including how many entries came back with a blank company because the person's headline didn't follow a "Title at Company" pattern. Someone whose headline reads "Building something new" has no company to extract, and Sai says so rather than leaving you to discover it later.
Those are connection-request automation platforms. They're solving the opposite half of the problem.
The two aren't really competitors. A sequencer grows your network; this shows you what's in it. The reason to run this first is that it frequently changes who you'd want the sequencer to target.
Sort by company to find account clusters. Sort by title to find everyone senior enough to make a decision. Filter for companies on your target list and you have a warm-intro map instead of a cold list.
It also imports cleanly into a CRM, which is where most people discover their pipeline already contains people they're one message away from.
No. This task only reads and exports. Nothing is sent, and no action is taken on your LinkedIn account.
No. There's no browser extension, no API key, and no session cookie to paste anywhere.
Yes. Change what you're asking for in the prompt - your followers, the people in a search result, or the employees listed at a specific company.
Because that person's headline didn't include a company in a parseable form. Sai leaves the cell empty and tells you how many rows were affected rather than guessing.
Yes - ask for a Google Sheet in the prompt and Sai will create one and send you the link.
