Tap LinkedIn Sales Navigator

Singer tap that extracts data from LinkedIn Sales Navigator and produces JSON-formatted data following the Singer spec.

To make this Tap work with a Target, clone both projects and follow these instructions:

Usage

This section dives into basic usage of tap-linkedin by walking through extracting data from a table. It assumes that you have access to LinkedIn Sales Navigator.

Install

python3 -m venv ~/.virtualenvs/tap-linkedin
source ~/.virtualenvs/tap-linkedin/bin/activate
pip install -e .

Get the necessary credentials

Create the configuration file

Configuration Key	Description
keyword	The keyword to search for in Sales Navigator.
cookie	Your LinkedIn cookie
x_li_identity	Your LinkedIn x-li-identity
csrf_token	Your LinkedIn csrf-token

Configuration file example

{
    "keyword": "keywork",
    "cookie": "cookie",
    "x_li_identity": "x_li_identity",
    "csrf_token": "csrf_token"
}

Discovery mode

The tap can be invoked in discovery mode to find the available tables and columns in the database:

$ tap-linkedin --config config.json --discover >> catalog.json

A discovered catalog is output, with a JSON-schema description of each table. A source table directly corresponds to a Singer stream.

The selected-by-default fields is used to enable the sync of the tables. If set to 'true', all of the tables will be selected in the catalog.json

Saving State

Target project (Example: target-postgres)

Clone target-postgres project

 git clone https://github.com/datamill-co/target-postgres
 cd target-postgres

To install dependencies on target project run the commands

 python3 -m venv ~/.virtualenvs/target-postgres
 source ~/.virtualenvs/target-postgres/bin/activate
 pip install target-postgres

To run full tap and target action run for a particular Base

From the home directory of the project

tap-linkedin -c config.json --catalog catalog.json | ~/.virtualenvs/target-postgres/bin/target-postgres