module linkedin.linkedin_access

Inheritance diagram of manydataapi.linkedin.linkedin_access

Short summary

module manydataapi.linkedin.linkedin_access

Provides functionalities around LinkedIn.

Some pointers:

Existing Python libraries:

Classes

class

truncated documentation

LinkedInAccess

This class manages the access to LinkedIn functionalities. It assumes you requested an access to the API LinkedIn …

Methods

method

truncated documentation

__init__

All the following parameter are given when you request an access to linkedin.

connect

Opens the connection to linkedin (using the api_key and the secret_key).

get_connections

Retrieves the connection for a given profile.

get_profile

Returns the profile of the connected user.

search_profile

Searches profiles on linkedin, allowed parameters (replace _ by -):

Documentation

Provides functionalities around LinkedIn.

Some pointers:

Existing Python libraries:

You should install: sdpython/python-linkedin

source on GitHub

class manydataapi.linkedin.linkedin_access.LinkedInAccess(api_key, secret_key, user_token, user_secret)

Bases: object

This class manages the access to LinkedIn functionalities.

It assumes you requested an access to the API LinkedIn See also ipython + python-linkedin.

See linkedin, linkedin. This class proposes simplified versions of the same methods, you should follow those link to see what is missing. About LinkedIn:

Search API:

https://api.linkedin.com/v1/company-search:(companies:(id,name,logo_url))?keywords=keyword?oauth2_access_token={accesstoken}&format=json

How to Get data from your linkedin profile?

Search and get profiles:

accessToken = ["w....", "n....",
               "3....", "2..." ]

linkedin = LinkedInAccess(*TestLinkedIn.accessToken)
linkedin.connect()
se = linkedin.search_profile(params={"last-name":"dupre", "first-name":"xavier"})
for _ in se["people"]["values"]:
    print(_)

Same results in a DataFrame:

accessToken = ["w....", "n....",
               "3....", "2..." ]

linkedin = LinkedInAccess(*TestLinkedIn.accessToken)
linkedin.connect()

df = linkedin.search_profile(params={"keywords":"ensae"},
                             count=500, as_df=True )

source on GitHub

All the following parameter are given when you request an access to linkedin.

Parameters:

  • api_key – api key [a-z0-9]+

  • secrect_key – secret key [A-Za-z]+

  • user_token – user token guid style

  • user_secret – user_secret guid style

source on GitHub

__init__(api_key, secret_key, user_token, user_secret)

All the following parameter are given when you request an access to linkedin.

Parameters:

  • api_key – api key [a-z0-9]+

  • secrect_key – secret key [A-Za-z]+

  • user_token – user token guid style

  • user_secret – user_secret guid style

source on GitHub

connect(all_permissions=True)

Opens the connection to linkedin (using the api_key and the secret_key).

Parameters:

all_permissions – True to get all permissions, otherwise, only public profiles

Returns:

client

source on GitHub

get_connections(totals_only=None, params=None, headers=None)

Retrieves the connection for a given profile.

source on GitHub

get_profile(selectors=None, idu=None, url=None)

Returns the profile of the connected user.

Parameters:

  • selectors – if None, it is replace by LinkedInAccess.default_selectors

  • idu – search by id

  • url – search by url

Returns:

json

See selectors to get the full of allowed selectors.

source on GitHub

search_profile(params, selectors=None, count=10, as_df=False, start=0, fLOG=None)

Searches profiles on linkedin, allowed parameters (replace _ by -):

  • first-name

  • last-name

The others fields are (see search api

http://api.linkedin.com/v1/people-search?
    keywords=[space delimited keywords]&
    first-name=[first name]&
    last-name=[last name]&
    company-name=[company name]&
    current-company=[true|false]&
    title=[title]&
    current-title=[true|false]&
    school-name=[school name]&
    current-school=[true|false]&
    country-code=[country code]&
    postal-code=[postal code]&
    distance=[miles]&
    start=[number]&
    count=[1-25]&
    facet=[facet code, values]&
    facets=[facet codes]&
    sort=[connections|recommenders|distance|relevance]
Parameters:

  • params – dictionary { field: value } (see above)

  • selectors – if None, uses the default selectors

  • count – 1 to 25, if -1 or > 25, search for all (do multiple searches and concatenate them

  • as_df – return a DataFrame

  • start – first result to fetch

  • fLOG – logging function

Returns:

json format (or DataFrame if as_df is True or None if there is nothing to return)

Example of code:

accessToken = [ "w....",
            "n....",
            "3....",
            "2..." ]

linkedin = LinkedInAccess (*TestLinkedIn.accessToken)
linkedin.connect()
se = linkedin.search_profile ( params = {"last-name":"dupre", "first-name":"xavier"} )
for _ in se["people"]["values"] :
    print(_)

source on GitHub