[thedatascientist]

500k Facebook Profile Data based on all profiles having "Locale = en_US"

Collected
2020
The profiles in this data where collected indiscriminately, however some profiles might be inactive or not used for a long period of time and will be reflexted as such in the updated_time or else where. However you will also see in the sample data 11x instances of the year 2020 mentioned in the updated_time which is an indicator of when the user last posted/changed something.

File Format
JSONL ( each profile is a line entry representing a JSON document )

Data Points
Consist of but not limited to the following also based on what the user has chosen to provide.

• uid
  
• about
  
• address
  
• birthday
  
• education
  
• email
  
• favorite_athletes
  
• favorite_teams
  
• first_name
  
• gender
  
• hometown
  
• inspirational_people
  
• interested_in
  
• languages
  
• last_name
  
• link ( full profile url )
  
• locale
  
• location
  
• name
  
• political
  
• quotes
  
• relationship_status
  
• religion
  
• significant_other
  
• sports
  
• updated_time ( when user last posted something )
  
• username
  
• website
  
• work
  

Hidden Content

You must register or login to view this content.

138.2MB compressed ZIP
503.2MB uncompressed JSONL
PW=thedatascientist

Sample: https://pastebin.com/dr87RyPJ

If you are interested in more of this data drop me a PM to discuss.

[LORD BEERUS]

as i can see from the pastebin
{"id":"444792402338571","name":"Principal Engineer"},"start_date":"2016-01-01","id":"1826326704051062"},{"end_date":"2016-08-19","employer"
data are too old :/

[thedatascientist]

as i can see from the pastebin
{"id":"444792402338571","name":"Principal Engineer"},"start_date":"2016-01-01","id":"1826326704051062"},{"end_date":"2016-08-19","employer"
data are too old :/

The profiles in this data where collected in the last 6 months indiscriminately, however some profiles might be inactive or not used for a long period of time and will be reflected as such in the updated_time or else where. However you will also see in the sample data 11x instances of the year 2020 mentioned in the updated_time which is an indicator of when the user last posted/changed something. Example of one below.

{"id":"746317943","education":[{"school":{"id":"102158429826105","name":"Telecom Bretagne"},"type":"College","id":"10150303957477944"},{"school":{"id":"106260202746458","name":"KTU"},"type":"College","id":"10150303957302944"},{"school":{"id":"133999953278539","name":"\u041a\u0422\u0423"},"type":"College","id":"10150303957202944"},{"school":{"id":"107646265931826","name":"T\u00e9l\u00e9com Bretagne"},"type":"Graduate School","id":"10150303957412944"}],"favorite_athletes":[{"id":"263283449562","name":"Frederico Morais"},{"id":"163839373642847","name":"Garrett McNamara"},{"id":"562876197060326","name":"Mustang Wanted"},{"id":"34778334225","name":"Kelly Slater"}],"first_name":"Philip","gender":"male","hometown":{"id":"108992759134056","name":"Kryvyy Rih, Dnipropetrovs'Ka Oblast', Ukraine"},"last_name":"Nuzhnyy","link":"https:\/\/www.facebook.com\/philip.nuzhnyy","location":{"id":"110432202311659","name":"Lisboa"},"locale":"en_US","name":"Philip Nuzhnyy","updated_time":"2020-04-09T14:33:30+0000","username":"philip.nuzhnyy","work":[{"employer":{"id":"599214116878387","name":"The Bakery"},"position":{"id":"157061304333066","name":"Co-Baker"},"start_date":"0000-00","id":"10152586393757944"}]}

[LORD BEERUS]

as i can see from the pastebin
{"id":"444792402338571","name":"Principal Engineer"},"start_date":"2016-01-01","id":"1826326704051062"},{"end_date":"2016-08-19","employer"
data are too old :/

The profiles in this data where collected in the last 6 months indiscriminately, however some profiles might be inactive or not used for a long period of time and will be reflected as such in the updated_time or else where. However you will also see in the sample data 11x instances of the year 2020 mentioned in the updated_time which is an indicator of when the user last posted/changed something. Example of one below.

{"id":"746317943","education":[{"school":{"id":"102158429826105","name":"Telecom Bretagne"},"type":"College","id":"10150303957477944"},{"school":{"id":"106260202746458","name":"KTU"},"type":"College","id":"10150303957302944"},{"school":{"id":"133999953278539","name":"\u041a\u0422\u0423"},"type":"College","id":"10150303957202944"},{"school":{"id":"107646265931826","name":"T\u00e9l\u00e9com Bretagne"},"type":"Graduate School","id":"10150303957412944"}],"favorite_athletes":[{"id":"263283449562","name":"Frederico Morais"},{"id":"163839373642847","name":"Garrett McNamara"},{"id":"562876197060326","name":"Mustang Wanted"},{"id":"34778334225","name":"Kelly Slater"}],"first_name":"Philip","gender":"male","hometown":{"id":"108992759134056","name":"Kryvyy Rih, Dnipropetrovs'Ka Oblast', Ukraine"},"last_name":"Nuzhnyy","link":"https:\/\/www.facebook.com\/philip.nuzhnyy","location":{"id":"110432202311659","name":"Lisboa"},"locale":"en_US","name":"Philip Nuzhnyy","updated_time":"2020-04-09T14:33:30+0000","username":"philip.nuzhnyy","work":[{"employer":{"id":"599214116878387","name":"The Bakery"},"position":{"id":"157061304333066","name":"Co-Baker"},"start_date":"0000-00","id":"10152586393757944"}]}

okay than i will download  +6 credit x u

[webpalms]

thanks for your efforts bro

[thedatascientist]

Nice one please more of this

I have around 50million + of this data. I can also filter by any of the data points which might be of interest

[2Blve2]

thanks @thedatascientist!!!

[valentinbvro]

nice share thank you!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

[colum28]

Would you translate the json into csv or sql ?

[toprakbilen90]

Would you translate the json into csv or sql ?

https://github.com/zemirco/json2csv/blob...xamples.md

[colum28]

Would you translate the json into csv or sql ?

https://github.com/zemirco/json2csv/blob...xamples.md

thank you,you are a kind man,I will try the tools.