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Improve your KYC thanks to Linkedin connection
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LinkedIn
As of June 2021, we are starting a refactoring of the LinkedIn driver, please refer to the awesome-notebook Github page to get the latest updates.
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Profile
Formula
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from naas_drivers import linkedin
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​
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# Enter cookies information
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LI_AT = 'YOUR_COOKIE_LI_AT'  # EXAMPLE : AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
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JSESSIONID = 'YOUR_COOKIE_JSESSIONID'  # EXAMPLE : ajax:8379907400220387585
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​
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# Enter the linkedin id or linkedin url
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url = "LINKEDIN_ID" or "LINKEDIN_URL"
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​
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# Get dataframe as result
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df = linkedin.connect(LI_AT, JSESSIONID).get_profil(url)
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df
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Result
FIRSTNAME : First name
LASTNAME : Last name
BIRTHDATE_DAY : Day of birth in format DD
BIRTHDATE_MONTH : Month of birth in format MM
BIRTHDATE_YEAR : Year of birth in format YYYY
BIRTHDATE : Birthdate in format DD, MM - YYYY 
COUNTRY : Country name
ADDRESS : Address
LK_HEADLINE : Job description (headline)
LK_SECTOR : Work industry
LK_FOLLOWERS : Number of followers
LK_PHONE : Phone number
LK_EMAIL : Email
LK_TWITER : Twitter account
Messages (last 20)
Formula
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from naas_drivers import linkedin
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​
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# Enter cookies information
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LI_AT = "YOUR_COOKIE_LI_AT"  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
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JSESSIONID = "YOUR_COOKIE_JSESSIONID"  # EXAMPLE ajax:8379907400220387585
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​
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# Get dataframe as result
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df = linkedin.connect(LI_AT, JSESSIONID).get_messages()
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df
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Result
FIRSTNAME : First name
LASTNAME : Last name
OCCUPATION : Job description (headline)
PROFILE_PUBLIC_ID : LinkedIn ID
LAST_ACTIVITY : Last activity in format YYYY-MM-DD HH:MM:SS
LAST_READ_AT : Last message read at in format YYYY-MM-DD HH:MM:SS
MESSAGE_TEXT : Message content
MESSAGE_TYPE : Message type
Post data
Formula
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from naas_drivers import linkedin
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​
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# Enter cookies information
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LI_AT = "YOUR_COOKIE_LI_AT"  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
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JSESSIONID = "YOUR_COOKIE_JSESSIONID"  # EXAMPLE ajax:8379907400220387585
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​
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# Enter post url
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url = "YOUR_POST_URL"
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​
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# Get dataframe as result
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df = linkedin.connect(LI_AT, JSESSIONID).get_post_data(url)
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df
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Result
URL : Post url
TITLE : Post text before first break
DATE : Time since post publication
VIEWS : Numbers of views
COMMENTS : Numbers of comments
LIKES : Numbers of likes
LIKES_LIKE : Numbers of likes type "like"
LIKES_PRAISE : Numbers of likes type "praise"
LIKES_INTEREST : Numbers of likes type "interest"
LIKES_APPRECIATION : Numbers of likes type "appreciation"
LIKES_EMPATHY : Numbers of likes type "empathy"
Advanced
You can "connect" before any other methods and use your object in your formulas
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from naas_drivers import linkedin
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​
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# Enter cookies information
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LI_AT = "YOUR_COOKIE_LI_AT"  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
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JSESSIONID = "YOUR_COOKIE_JSESSIONID"  # EXAMPLE ajax:8379907400220387585
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​
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# Connect to Linkedin
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LK = linkedin.connect(LI_AT, JSESSIONID)
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​
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# Get last 20 messages
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df = LK.get_messages()
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