Linkedin Scrapped Data 400 Million lines

joyboy11 · 30-09-25, 01:13 PM

tytyty

~~hk0008989~~ · (This post was last modified: 30-09-25, 11:39 PM by hk0008989.)

(09-07-23, 06:36 PM)路西法 Wrote:
Linkedin 废弃数据 4 亿行 - 2021

旧线程： https://darkforums.me/Thread-Linkedin-co...ase-Leaked

https://news.linkedin.com/2021/june/an-u...m-linkedin

200GB 压缩，1.4TB 未压缩

格式： JSON

行数： 4 亿

每个条目的一些字段：

全名
名字
姓氏
性别
出生日期（很少有此数据）
linkedin_url
用户名
id
最后更新
推断的薪水
推断的工作年限
电子邮件 [数组] [~1 亿/4 亿行有电子邮件，总共 ~1.4 亿封电子邮件]
技能 [数组]
电话号码 [数组]
兴趣 [数组]
其他社交（fb、github、twitter）
语言 [数组]
位置（地点、地区、国家、大陆、坐标）
具有详细子数据的字段：
工作[array]
教育 [array]
经验 [array]

下载链接：

213123123

exiko · 01-10-25, 02:04 PM

thanks a lot Bro

kandor1297 · 01-10-25, 08:32 PM

good job

dark_nigger · 02-10-25, 04:46 PM

(09-07-23, 06:36 PM)Lucifer Wrote:
Linkedin Scrapped Data 400 Million lines - 2021

OLD THREAD : https://darkforums.me/Thread-Linkedin-co...ase-Leaked

https://news.linkedin.com/2021/june/an-u...m-linkedin

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]

Download Link :

~~KaronDi~~ · 02-10-25, 09:00 PM

thanks

asktraveller · 03-10-25, 01:31 AM

Thanks

jnyim · 03-10-25, 04:50 AM

thaanks

~~piggy0000~~ · 03-10-25, 11:44 AM

Thank you for sharing this!

jubdi · 03-10-25, 01:10 PM

(09-07-23, 06:36 PM)Lucifer Wrote:
Linkedin Scrapped Data 400 Million lines - 2021

OLD THREAD : https://darkforums.me/Thread-Linkedin-co...ase-Leaked

https://news.linkedin.com/2021/june/an-u...m-linkedin

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]

Download Link :

anonfiles...