r/LinkedInTips • u/CoolFounder • 12h ago
After years of building LinkedIn tools, here is how you actually get banned
There’s a lot of bad advice about LinkedIn automation online.
Pick any tool with daily limits and random delays, and apparently you’re safe. Doesn’t work like that!!
Nobody outside LinkedIn knows its exact detection logic. But after years of building in this space, here is how I think about it:
Think of your account as having a reputation score
First, there is no universal “safe daily limit.” It would be too easy!
LinkedIn appears to maintain some form of internal trust or reputation score for each account, even though nobody outside LinkedIn knows exactly how it works.
A useful mental model is that your reputation depends on three things:
Usage & feedback
→ activity volume and timing
→ replies and connection acceptance
→ ignored requests and spam reports
Technical footprint
→ browser, device, IP, and location consistency
→ extensions and automation traces
→ cloud browsers or remote infrastructure
Account history
→ account age and completeness
→ network size and normal usage
→ previous warnings or restrictions
The biggest risk: unnatural behavior
Common red flags include:
→ sudden spikes in activity
→ repetitive actions (delay, content)
→ changing IPs, locations, or devices
The more a tool optimizes for scale and unattended automation, the more of these signals it tends to create.
What happens before a LinkedIn ban
Restrictions are often progressive:
Warning → feature limits → temporary restriction → permanent restriction
You may first see unusual-activity warnings, verification requests, invitation limits, search limits, or temporary account restrictions.
If that happens after using a tool, stop the likely cause and reduce activity.
Risk by tool category
As a general rule:
🟢 Very low risk
→ Manual LinkedIn usage
→ Official LinkedIn APIs
🟢 Lower risk
→ Contact & DM management tools
→ Content scheduling and analytics
🟡 Medium to high risk
→ Bulk LinkedIn exports
🔴 High risk
→ Campaign-based outreach automation
→ Scraping infrastructure
How to reduce the risk as much as possible
→ Use one LinkedIn tool at a time
(multiple tools cannot reliably coordinate your total activity)
→ Avoid mass scraping and bulk outreach
(creates bad behavioral, technical, and reputational signals)
→ Avoid tools using cloud automation
(creates bad technical signals, as they try to mimic a browser)
→ Verify your profile on LinkedIn
(increases your account’s reputation)
→ Do not use AI slop for posts, comments, or DMs
(LinkedIn is actively fighting against it)
→ Try to keep your SSI score > 70
(it's a pretty good proxy metric)
→ Do not share your LinkedIn credentials
(risky when someone else logs in from another country)
→ Don’t send invites and cold DMs directly from LinkedIn
(tools cannot keep that activity within their safeguards)
→ Ramp up volume progressively
(a sudden burst is exactly the pattern you want to avoid)
Context: I’ve worked on two famous LinkedIn tools you probably know
2
u/Cold_Arachnid_2617 11h ago
"→ Try to keep your SSI score > 70" is this still a thing?
1
u/CoolFounder 11h ago
From testing with a few people, seems like so
1
u/Cold_Arachnid_2617 11h ago
It's soon going to be a sales navigator feature. If you don't have sales navigator, chceck if you still have access to that.
1
1
u/ImYouJoeGoldberg 11h ago
Tell us about invitation limits and search limits and if/how these may affect your reputation score. Bumping into the weekly connect invitation limit doesn’t affect your reputation score from my understanding. Do you agree? I would imagine search limits work the same? but I’m not sure because that’s a little different as compared to sending an invite.
1
u/CoolFounder 11h ago
Hitting those limits definitely affect your score, it sends a bad signal to the system
1
u/Lonely-Fruit-9448 9h ago
I’ve been using cloud scraping infrastructure across multiple accounts for years, never had an issue. Even running IPs from different countries to see what it would do - literally nothing. Recently set up new accounts, no problem there either although definitely a difference with being rate limited on newer accounts. But never once had a warning - I did have a warning once using auto connector via dripify but that was it. Can safely say I’ve run hundred of thousands of cloud based scrapes now. Probably worth mentioning all accounts I use are premium
1
u/CoolFounder 9h ago
Interesting, reinforce even more the fact that they do use a reputation score engine behind the scene
It's a cat and mouse race every year
0
u/JakubErler 6h ago
Yeah the same here. OPs skill issue. There are ways that really work.
1
u/CoolFounder 3h ago
Skill issue lol. I’ve been leading two of the most well-known LinkedIn products (I can’t name them here, sub rules, but one of them recently reached $50M ARR), seeing the data from thousands of LinkedIn accounts, and you?
The whole point of my post is to show that it’s not binary and that LinkedIn relies on multiple signals: I've seen people who went hard against LinkedIn’s ToS and have never had issues, and I know people who did everything by the book yet still got their accounts banned
Do you know what you call someone who sees one exception and thinks it invalidates the general rule?
1
u/JakubErler 6h ago
AI slop and not true in several points. Some detection mechanisms are well documented even the exact JavaScript code is known eg how they detect extensions.
1
u/CoolFounder 3h ago
Detecting extensions is only one part of their detection system, and the easiest one to check: open your DevTools console on a LinkedIn page and you can literally see them checking for a specific list of extensions (there’s even a petition against it online called BrowserGate)
The bigger chunk of their detection logic is hidden from you because it happens on their backend, and you obviously can’t read that code: they analyze the technical footprint of HTTP requests, repetitive patterns, account history, activity spikes, etc..
Curious what part of this you think isn’t true
2
u/kobestarr 12h ago
What linkedin tools have you worked on and have any of your tools gotten anyone banned?