LinkedIn 2021 - The 400 Million Scrapped Database (Official) [Torrent only]
by tail - Sunday July 9, 2023 at 02:03 AM
عمل جيد يا رجل. شكرًا
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thanks for shareing bro !!!
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Thanks for sharing
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(07-09-2023, 02:03 AM)tail Wrote:
200GB compressed, 1.4TB uncompressed
Format: JSON
Lines: 400 Million
Some of the fields per entry:
full_name
first_name
last_name
gender
birth_date (few have this data)
linkedin_url
username
id
last_updated
inferred salary
inferred years of experience
emails [array] [~100M/400M lines have emails, ~140M total emails]
skills [array]
phone_numbers [array]
interests [array]
other socials (fb,github, twitter)
languages [array]
location (locality, region, country,continent, coordinates)
Fields With Detailed Subdata:
jobs [array]
education [array]
experience [array]
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thanks for sharing
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tail dateline='[url=tel:1688868187' Wrote: 1688868187[/url]']
200GB compressed, 1.4TB uncompressed
Format: JSON
Lines: 400 Million
Some of the fields per entry:
full_name
first_name
last_name
gender
birth_date (few have this data)
linkedin_url
username
id
last_updated
inferred salary
inferred years of experience
emails [array] [~100M/400M lines have emails, ~140M total emails]
skills [array]
phone_numbers [array]
interests [array]
other socials (fb,github, twitter)
languages [array]
location (locality, region, country,continent, coordinates)
Fields With Detailed Subdata:
jobs [array]
education [array]
experience [array]

seems old but data is data
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I am very keen to dive into this database you just posted; thanks a lot for the effort and for keeping the forum updated with fresh data, I hope you have a great day !
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(07-09-2023, 02:03 AM)tail Wrote:
200GB compressed, 1.4TB uncompressed
Format: JSON
Lines: 400 Million
Some of the fields per entry:
full_name
first_name
last_name
gender
birth_date (few have this data)
linkedin_url
username
id
last_updated
inferred salary
inferred years of experience
emails [array] [~100M/400M lines have emails, ~140M total emails]
skills [array]
phone_numbers [array]
interests [array]
other socials (fb,github, twitter)
languages [array]
location (locality, region, country,continent, coordinates)
Fields With Detailed Subdata:
jobs [array]
education [array]
experience [array]

I'll lppk into this..
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thanks for sharing
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