Automate LinkedIn with Datakund

Introduction

bot-studio is an automation library which can be used to automate tasks like sending mails,scraping data,auto checkout and many more. You can download the source code from here(see here)

It uses selenium to automate the things. You can use its inbuilt functions like linkedin_follow, linkedin_login etc. in a very easy way.

Installation/Usage:

You can find this package on Pypi (see here).

Command to install :- pip install bot-studio

Import bot-studio

from bot_studio import *

Creating Object

linkedin=bot_studio.linkedin()
or
linkedin=bot_studio.linkedin(headless=True,....)

It will return the object which you can further use to call linkedin functions and opens a automated browser

Browser Options

Option	Default Value	Description
headless	False	Can set it to True if wants headless
proxy	No proxy	Pass proxy value e.g 98.0.2.5:4000
profile_path	creates temporary profile	Pass profile path e.g C:\Users\username\AppData\Local\Google\Chrome\User Data\
user_agent	No user agent	Pass user agent e.g python 2.7”, “platform”:”Windows
download_folder	Downloads in default folder	If want to set download directory to custom e.g E:files\

Functions

bot-studio provides following functions for linkedin:-

Login

It will login to linkedin via your credentials.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.login(username='datakund@gmail.com', password='password@123')

Parameters

username (str) – Linkedin username
password (str) – Linkedin password

Returns

{“body”: {}, “success_score”: “100”, “errors”: []}

Return type

dict

Search

It searches the keyword passed in keyword.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.search(keyword='python')

Parameters: keyword (str) – Search Keyword like python,hr
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Job Profile

It opens the job link passed in job_link and fetches info about job.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_job_profile(job_link='https://www.linkedin.com/jobs/search?keywords=python&origin=BLENDED_SEARCH_RESULT_CARD_NAVIGATION&currentJobId=2369119694&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_all%3B0Rk7LgXJQnKGvr4mUZFYVg%3D%3D')

Parameters: job_link (str) – Link of the job posted
Returns: {“body”: {‘Location’: ‘Location’, ‘Employment Type’: ‘Employment Type’, ‘Company Name’: ‘Company Name’, ‘Industry’: ‘Industry’, ‘Experience’: ‘Experience’, ‘Roles’: ‘Roles’, ‘Job Functions’: ‘Job Functions’, ‘Applicants’: ‘Applicants’, ‘Title’: ‘Title’, ‘Published’: ‘Published’, ‘Seniority Level’: ‘Seniority Level’}, “success_score”: “100”, “errors”: []}
Return type: dict

Search People

It searches the keyword passed in keyword and opens people.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.search_people(keyword='Hr manager')

Parameters: keyword (str) – Keyword need to be searched like hr,python
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Search Jobs

It searches the keyword passed in keyword and opens jobs.

Here is the code:-

linkedin.search_jobs(keyword='Python Developer')

Parameters: keyword (str) – Keyword need to be searched like hr,python
Returns: {}
Return type: dict

Search Posts

It searches the keyword passed in keyword and opens content.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.search_posts(keyword='Data Science')

Parameters: keyword (str) – Keyword need to be searched like hr,python
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Enter Job Location

It fills location passed in location on search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.enter_job_location(location='Delhi')

Parameters: location (str) – pass location like delhi,goa
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Send Message

It sends message to user passed in profile_link with message as message.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.send_message(message='Hi', profile_link='https://www.linkedin.com/in/abhishek-chaudhary-/')

Parameters

message (str) – message which need to be send
profile_link (str) – profile link of user whom message need to be sent

Returns

{“body”: {}, “success_score”: “100”, “errors”: []}

Return type

dict

Follow Company

It follows the company passed in company_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.follow_company(company_link='https://www.linkedin.com/company/microsoft/')

Parameters: company_link (str) – company link which need to be followed
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Unfollow Company

It unfollows the company passed in company_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.unfollow_company(company_link='https://www.linkedin.com/company/microsoft/')

Parameters: company_link (str) – company link which need to be unfollowed
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Send Connection

It sends conection request to the user passed in profile_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.send_connection(profile_link='https://www.linkedin.com/in/abhishek-chaudhary-/')

Parameters: profile_link (str) – Profile link of user to whom connection need to be sent
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Profile

It fetches the profile of the user passed in profile_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_profile(profile_link='https://www.linkedin.com/in/abhishek-chaudhary-/')

Parameters: profile_link (str) – Profile link of user whose data need to be fetched
Returns: {“body”: {‘Location’: ‘Location’, ‘Info’: ‘Info’, ‘Education’: ‘Education’, ‘About’: ‘About’, ‘Experience’: ‘Experience’, ‘Education_Info’: ‘Education_Info’, ‘Recommendations’: ‘Recommendations’, ‘Mutual_Connections’: ‘Mutual_Connections’, ‘Name’: ‘Name’, ‘Interests’: ‘Interests’, ‘Current Company’: ‘Current Company’}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Company Profile

It fetches the profile of the company passed in company_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_company_profile(company_link='https://www.linkedin.com/company/microsoft/')

Parameters: company_link (str) – Company link whose data need to be fetched
Returns: {“body”: {‘Location’: ‘Location’, ‘Company Name’: ‘Company Name’, ‘Industry’: ‘Industry’, ‘Info’: ‘Info’, ‘Followers’: ‘Followers’, ‘Overview’: ‘Overview’, ‘Type’: ‘Type’, ‘Founded’: ‘Founded’, ‘Website’: ‘Website’, ‘Company Size’: ‘Company Size’, ‘Specialities’: ‘Specialities’}, “success_score”: “100”, “errors”: []}
Return type: dict

Click Next

It clicks on Next button on search results page.

Here is the code:-

linkedin.click_next()

Returns: {}
Return type: dict

People Results

It fetches the data of people on people search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.people_results()

Returns: {“body”: [{‘Link’: ‘Link’}], “success_score”: “100”, “errors”: []}
Return type: dict

Jobs Results

It fetches the data of jobs on job search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.jobs_results()

Returns: {“body”: [{‘Link’: ‘Link’}], “success_score”: “100”, “errors”: []}
Return type: dict

Posts Results

It fetches the data of posts on content search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.posts_results()

Returns: {“body”: [{‘User Link’: ‘User Link’, ‘Post Text’: ‘Post Text’}], “success_score”: “100”, “errors”: []}
Return type: dict

Open Connections

It opens connections of the user passed in profile_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.open_connections(profile_link='https://www.linkedin.com/in/bhawna-vashisht-444174117/')

Parameters: profile_link (str) – Profile link whose connections need to be opened
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Comment On Post

It comments on the post passed in post_link with comment in comment.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.comment_on_post(post_link='https://www.linkedin.com/posts/er-chirag-grover-290918101_help-androiddevelopment-flutterappdevelopment-activity-6766960247794937856-2jh3', comment='Please share your resume here abc@gmail.com')

Parameters

post_link (str) – post link where need to comment
comment (str) – Text need to comment on post

Returns

{“body”: {}, “success_score”: “100”, “errors”: []}

Return type

dict

Get Messages

It fetch messages of user passed in profile_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_messages(profile_link='https://www.linkedin.com/in/abhishek-chaudhary-/')

Parameters: profile_link (str) – Profile link whose messages need to be fetched
Returns: {“body”: {‘Messegetext’: ‘Messegetext’}, “success_score”: “100”, “errors”: []}
Return type: dict

Send Message By Name

It searches the keyword passed in keyword and clicks on first search result and send message passed in message.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.send_message_by_name(message='Hi', keyword='DataKund')

Parameters

message (str) – Text need to comment on post
keyword (str) – Name of the user who need to be searched

Returns

{“body”: {}, “success_score”: “100”, “errors”: []}

Return type

dict

Upload Content

It uploads the post passed in content.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.upload_content(content='Hi, hope all are doing well.....')

Parameters: content (str) – Post text need to be posted on linkedin
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Search Companies

It searches the keyword passed in keyword and opens companies results.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.search_companies(keyword='machine learning')

Parameters: keyword (str) – Search keyword like microsoft,google
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Feed

It fetches the post content on linkedin feed page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_feed()

Returns: {“body”: [{‘Post Content’: ‘Post Content’, ‘UserLink’: ‘UserLink’, ‘User Name’: ‘User Name’}], “success_score”: “100”, “errors”: []}
Return type: dict

Companies Results

It fetches the companies data on search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.companies_results()

Returns: {“body”: [{‘CompanyLink’: ‘CompanyLink’, ‘Followers’: ‘Followers’, ‘Type’: ‘Type’, ‘Title’: ‘Title’}], “success_score”: “100”, “errors”: []}
Return type: dict

Search Groups

It searches the keyword passed in keyword and opens group results.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.search_groups(keyword='artificial intelligence')

Parameters: keyword (str) – Search keyword like python,machine learning
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Groups Results

It fetches data on group search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.groups_results()

Returns: {“body”: [{‘Group Link’: ‘Group Link’, ‘Title’: ‘Title’, ‘Members’: ‘Members’}], “success_score”: “100”, “errors”: []}
Return type: dict

Join Group

It joins the group passed in group_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.join_group(group_link='https://www.linkedin.com/groups/2066905?lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_groups%3BJVAIN209Q7S4FagNFJvIug%3D%3D')

Parameters: group_link (str) – Link of group which need to be joined
Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Post

It fetches data of post passed in post_link.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_post(post_link='https://www.linkedin.com/feed/update/urn:li:activity:6764456234197295104?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A6764456234197295104%29')

Parameters: post_link (str) – Link of post whose data need to be fetched
Returns: {“body”: {‘Time’: ‘Time’, ‘Post Text’: ‘Post Text’, ‘Profile_Link’: ‘Profile_Link’, ‘Likes’: ‘Likes’, ‘UserName’: ‘UserName’, ‘Bio’: ‘Bio’, ‘Comments’: ‘Comments’}, “success_score”: “100”, “errors”: []}
Return type: dict

Get Comments

It fetches the comments of the post currently opened in browser.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.get_comments()

Returns: {“body”: [{‘User Link’: ‘User Link’, ‘Comment’: ‘Comment’, ‘UserName’: ‘UserName’, ‘Info’: ‘Info’}], “success_score”: “100”, “errors”: []}
Return type: dict

Click Load More

It clicks on click more on the comments page currently opened in browser.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.click_load_more()

Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Posts Links

It fetches the links of posts on content search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.posts_links()

Returns: {“body”: [{‘Link’: ‘Link’}], “success_score”: “100”, “errors”: []}
Return type: dict

Accept Invitation

It accepts first invitation on invitation page

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.accept_invitation()

Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Clicknext

It clicks on Next button on search results page.

body: returns data

success_score: api success rate

errors: errors encountered in api

Here is the code:-

linkedin.clicknext()

Returns: {“body”: {}, “success_score”: “100”, “errors”: []}
Return type: dict

Other Functions

You can use basic functions which selenium provides with this library like opening a url, get pagesource, get current url etc. These are the functions:-

Open

It will open the url provided in the argument.

linkedin.open(url)

Parameters: url (str) – Link which need to be opened
Returns: {}
Return type: dict

Get Page Title

It returns the title of page opened.

linkedin.get_page_title()

Returns: {“pagetitle”:”Linkedin”}
Return type: dict

Get Page Source

It returns the pagesource of page opened.

linkedin.get_page_source()

Returns: {“pagesource”:”pagesource”}
Return type: dict

Get Current Url

It returns the pagesource of page opened.

linkedin.get_current_url()

Returns: {“url”:”url”}
Return type: dict

Reload

It reloads the page opened.

linkedin.reload()

Returns: {}
Return type: dict

Keypress

It perform the keypress passed.

linkedin.keypress(key)

Parameters: key (str) – Key which need to be pressed, e.g pagedown,arrowleft,enter
Returns: {}
Return type: dict

Scroll

It scrolls to the end of page.

linkedin.scroll()

Returns: {}
Return type: dict

End

It ends the linkedin session and close the automated chromedriver.

Note

You will need to create linkedin object again after end().

linkedin.end()

Returns: {}
Return type: dict

Quit

It quits the bot-studio application runing in background.

Note

You will need to import bot-studio library again to start application.

linkedin.quit()

Returns: {}
Return type: dict

Automate LinkedIn with Datakund

Introduction

Installation/Usage:

Import bot-studio

Creating Object

Browser Options

Functions

Login

Search

Get Job Profile

Search People

Search Jobs

Search Posts

Enter Job Location

Send Message

Follow Company

Unfollow Company

Send Connection

Get Profile

Get Company Profile

Click Next

People Results

Jobs Results

Posts Results

Open Connections

Comment On Post

Get Messages

Send Message By Name

Upload Content

Search Companies

Get Feed

Companies Results

Search Groups

Groups Results

Join Group

Get Post

Get Comments

Click Load More

Posts Links

Login Cookie

Accept Invitation

Clicknext

Other Functions

Open

Get Page Title

Get Page Source

Get Current Url

Reload

Keypress

Scroll

End

Quit