Creating mass LinkedIn Profiles listing a specific employer

elavonkitty

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I am working on a project in which I need to make a specific company listed on LinkedIn look like it has more employees than it currently does. I need to add around 1,000 new profiles with different names, work locations, start dates, job titles, education, etc to boost up the apparent size of the company.

Once the profiles are setup, we dont need to maintain them (i.e. once off setup is fine). Each one should have a few connections and activity to make it look more legitimate.

I created a few hundred LinkedIn profiles already but it has been time consuming. Is there a way or service to get this done more efficiently?
 
LinkedIn is very good to detect fake profiles. Most profiles gets deleted after 1-2 days. Check your already created profiles if they still last.
 
I am working on a project in which I need to make a specific company listed on LinkedIn look like it has more employees than it currently does. I need to add around 1,000 new profiles with different names, work locations, start dates, job titles, education, etc to boost up the apparent size of the company.

Once the profiles are setup, we dont need to maintain them (i.e. once off setup is fine). Each one should have a few connections and activity to make it look more legitimate.

I created a few hundred LinkedIn profiles already but it has been time consuming. Is there a way or service to get this done more efficiently?
The biggest headache here is the deletion of profiles
Alternatively
Get a person to make the profile and pay them for the work
Much easier
 
LinkedIn spots fake accounts fast. So, Must use real data.
 
You are all correct. I had around 500 profiles created. I did so in bulk with minimal countermeasures since why bother overcomplicating things when things are working fine. Around 12-18 months ago, LinkedIn became very aggressive with the deletion of profiles. Out of those 500 profiles, around 480 got deleted and/or restricted. I was left with 20 profiles.

I then created a new system:

(1) Collect demographic data from the US Census Bureau and other sources (e.g. top 100 most common first names, top 100 most common last names, top 100 employers in America, top 100 job titles in America, top 50 universities with largest enrollment, etc.)

(2) Create a randomizer that will now create a person by taking those names (e.g. Random Number Generator makes a number to identify male vs female, age, city, university graduated from, bachelor vs master vs phd, etc.) which would then create a full blank canvas profile. It would be say Rebecca, aged 45, from Los Angeles, graduated from UCLA with Bachelor degree in Journalism, with 10 years professional experience in broadcast media.

(3) Put that full profile into chatGPT or another LLM to then create a resume - "Rebecca, aged 45, from Los Angeles, graduated from UCLA with Bachelor degree in Journalism, with 10 years professional experience in broadcast media, please make me my resume to post on LinkedIn"

(4) Dump all that into a nice LinkedIn profile with new IP address, new email address, etc.

Problem is that that is time consuming and takes me a few hours. I was wondering if people have a better approach...
 
If you’re managing hundreds of accounts, proxies are a must, especially mobile ones. They rotate IPs naturally and mimic real user behavior, so there’s a lower chance of getting flagged during account creation.
 
You are all correct. I had around 500 profiles created. I did so in bulk with minimal countermeasures since why bother overcomplicating things when things are working fine. Around 12-18 months ago, LinkedIn became very aggressive with the deletion of profiles. Out of those 500 profiles, around 480 got deleted and/or restricted. I was left with 20 profiles.

I then created a new system:

(1) Collect demographic data from the US Census Bureau and other sources (e.g. top 100 most common first names, top 100 most common last names, top 100 employers in America, top 100 job titles in America, top 50 universities with largest enrollment, etc.)

(2) Create a randomizer that will now create a person by taking those names (e.g. Random Number Generator makes a number to identify male vs female, age, city, university graduated from, bachelor vs master vs phd, etc.) which would then create a full blank canvas profile. It would be say Rebecca, aged 45, from Los Angeles, graduated from UCLA with Bachelor degree in Journalism, with 10 years professional experience in broadcast media.

(3) Put that full profile into chatGPT or another LLM to then create a resume - "Rebecca, aged 45, from Los Angeles, graduated from UCLA with Bachelor degree in Journalism, with 10 years professional experience in broadcast media, please make me my resume to post on LinkedIn"

(4) Dump all that into a nice LinkedIn profile with new IP address, new email address, etc.

Problem is that that is time consuming and takes me a few hours. I was wondering if people have a better approach...
That won't help. I don't think name, location, etc., are major red flags.

What's more important are the IP addresses you use, the browser fingerprints (and I’m not talking about simple things like the user agent), and the email address.

I’ve tried a lot with very deep browser simulation, but they still delete the accounts after 1–2 days...
 
I have tried something like this before - it takes a lot of time. You can try tools like linkedhelper, but linkedin can block fake profiles fast. Hiring a few people to help do it by hand might be safer.
 
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