BrokeDataBroker
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From a full site webscrape of LinkedIn from a few years ago. Based on testing tens of thousands, 75-80 percent of emails are still active.
**I will send your custom email list first, and you can pay me after! cannot be a new user, MUST have established site history!**
This was around 750 Million+ profile rows and over 350GB of json data broken up into 700+ files
It took quite some time, but I have cleaned up the data and combined everything into to a little over 126 Million profile rows. I have special software to filter and export these profiles.
Each row has 32 columns of information. I cut out any useless data
The following info is available for each profile. I also gave a descriptor of each column
Emails/#: How many unique email addresses does that user have on their profile (5 is the max I have seen)
Emails/Address: This is the users email (100 percent of users have at least one email, sometimes up to 5)
Work_Email: this is often a different work specific email address (15-20% of profiles have this)
Emails/Type: This describes what type of email is in the Emails/Address column (personal or professional)
First_Name: Their first name
Full_Name: Their first name and last name
Last_Name: Their last name
Middle_Name: Their middle name
Gender: Male or Female or sometimes blank
ID: This column is some sort of unique LinkedIn identifier. May be useful
Industry: What Industry does this person work in
Inferred_Salary: This has an estimate of their salary expressed in ranges (in USD). From <20,000 all the way to >250,000
Inferred_Years_Experience: This is an estimate of their years of work experience
Job_Company_ID: This is their employer name
Job_Company _Name: Sometimes the same as the company name, or it could be a subsidiary of the company ID (ex: 3M vs 3M healthcare)
Job_Company_Industry: What industry is the company in
Job_Start_Date: When did they start their last role
Job_Title: What is their current job title
Job_Title_Role: What division of the company do they work in
Job_Title_Sub_Role: Even more detailed info about the division they work in (Only about 10% of people have this)
LinkedIn_Connections: Shows how many friends (Connections) the user has
LinkedIn_Id: Another unique identified LinkedIn Uses
LinkedIn_URL: A direct hyperlink to the user's personal linked in page
LinkedIn-Username: Their username which is basically the last part of their profile URL
Location_Country: What country they live in
Location_Name: Usually includes the city and state and country in one
Location_Postal_Code: Their postal code if they live in US or other country that uses postal codes
Location_Region: The user's State
Location_Street_Address: Their Home Address
___________________________________________________________
The columns below also exist but are almost always empty
___________________________________________________________
Birth_Date: User's Birthday (VERY few profiles have a bday, maybe 1%)
Mobile_Phone: Their cell number (Few profiles have this, just a few percent)
Github_URL: Users github URL (VERY few profiles have this, maybe 1%)
I can provide fully custom CSV exports for any email list you require. You will also be provided all profile data for those users as well, not just the emails.
Give me your filters and I will provide the custom list. (Example: I want a list of 10,000 women who make more that $250,000, live in Texas and work in Pharmaceuticals)
Price can be a discussion based on how many email you need, and the number of filters needed. A list can take between 45 mins to run, but sometimes a few days if you have extreme requirements. This database is over 4 Billion cells, so it can take some time.
Monero (BTC, ETH, DOGE, XRP or SOL accepted but at a higher price)
**I will send your custom email list first, and you can pay me after! cannot be a new user, MUST have established site history!**
Any questions, just send random message (i will respond with PGP)
-BrokeDataBroker
**I will send your custom email list first, and you can pay me after! cannot be a new user, MUST have established site history!**
This was around 750 Million+ profile rows and over 350GB of json data broken up into 700+ files
It took quite some time, but I have cleaned up the data and combined everything into to a little over 126 Million profile rows. I have special software to filter and export these profiles.
Each row has 32 columns of information. I cut out any useless data
The following info is available for each profile. I also gave a descriptor of each column
Emails/#: How many unique email addresses does that user have on their profile (5 is the max I have seen)
Emails/Address: This is the users email (100 percent of users have at least one email, sometimes up to 5)
Work_Email: this is often a different work specific email address (15-20% of profiles have this)
Emails/Type: This describes what type of email is in the Emails/Address column (personal or professional)
First_Name: Their first name
Full_Name: Their first name and last name
Last_Name: Their last name
Middle_Name: Their middle name
Gender: Male or Female or sometimes blank
ID: This column is some sort of unique LinkedIn identifier. May be useful
Industry: What Industry does this person work in
Inferred_Salary: This has an estimate of their salary expressed in ranges (in USD). From <20,000 all the way to >250,000
Inferred_Years_Experience: This is an estimate of their years of work experience
Job_Company_ID: This is their employer name
Job_Company _Name: Sometimes the same as the company name, or it could be a subsidiary of the company ID (ex: 3M vs 3M healthcare)
Job_Company_Industry: What industry is the company in
Job_Start_Date: When did they start their last role
Job_Title: What is their current job title
Job_Title_Role: What division of the company do they work in
Job_Title_Sub_Role: Even more detailed info about the division they work in (Only about 10% of people have this)
LinkedIn_Connections: Shows how many friends (Connections) the user has
LinkedIn_Id: Another unique identified LinkedIn Uses
LinkedIn_URL: A direct hyperlink to the user's personal linked in page
LinkedIn-Username: Their username which is basically the last part of their profile URL
Location_Country: What country they live in
Location_Name: Usually includes the city and state and country in one
Location_Postal_Code: Their postal code if they live in US or other country that uses postal codes
Location_Region: The user's State
Location_Street_Address: Their Home Address
___________________________________________________________
The columns below also exist but are almost always empty
___________________________________________________________
Birth_Date: User's Birthday (VERY few profiles have a bday, maybe 1%)
Mobile_Phone: Their cell number (Few profiles have this, just a few percent)
Github_URL: Users github URL (VERY few profiles have this, maybe 1%)
I can provide fully custom CSV exports for any email list you require. You will also be provided all profile data for those users as well, not just the emails.
Give me your filters and I will provide the custom list. (Example: I want a list of 10,000 women who make more that $250,000, live in Texas and work in Pharmaceuticals)
Price can be a discussion based on how many email you need, and the number of filters needed. A list can take between 45 mins to run, but sometimes a few days if you have extreme requirements. This database is over 4 Billion cells, so it can take some time.
Monero (BTC, ETH, DOGE, XRP or SOL accepted but at a higher price)
**I will send your custom email list first, and you can pay me after! cannot be a new user, MUST have established site history!**
Any questions, just send random message (i will respond with PGP)
-BrokeDataBroker
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