LinkedIn Email Extractor

LinkedIn Email Extractor is a Python script which provides the LinkedIn profiles whose description contains the email id in it. LEE saves the link to the profile and its information in an excel file including a separate column for the email.

• No need to search manually for the email-Ids.
• Saves you from exhausting connection request.
• Get to the person directly through the mail.

Features!

• Uses Google Custom Search Engine API for searching LinkedIn profiles.
• Just enter the Organisation Name and Job Role to get the linked profiles and email Ids.
• OR, enter your own search term for getting more optimum results.

Limitations

• You have to create your own API key and use it.
• Google free API usage is limited to 100 search queries per day.
• And 100 results per search per day.
• For processing 100 search results for a single search query, Google API makes 10 requests.

First step before using script

• Go at https://console.developers.google.com/apis.
• SignIn using your google account and create a project named LinkedIn Email Extractor.
• Now search for Google console search, and generate API key for it.
• After getting the key replace "replace_with_you_api_key" with you api key in Lee.py at line 17, and save it.

How to use?

• Open terminal and move to LinkedIn Email Extractor directory.
• Then run following command by replacing your input with <job_role + 'email me at' + company> & <num_request> in the given format:

python3 lee.py "<job_role + 'email me at' + company>" <no. of request, 1-10>

NOTE:

<num_request> will be between 1 to 10. For 1 request 10 results will be processed for a query. For processing 100 result you have to use 10 for the same. In processing 100 results for a query 10 credits will be exhausted from your Google API limits.

Suggestion

If you want to see the whole result without exhausting your credit you can go at http://recruitmentgeek.com/tools/linkedin/ and search the query. You liked the result then you can use the same query with the LEE and get the emails extracted out of it.

Meta

Abhishek Singh – @asraisingh – www.iabhishek.me

Distributed under the MIT license. See LICENSE for more information.

https://github.com/asraisingh/linkedin-email-extractor

Contribution

1. Fork it (https://github.com/asraisingh/linkedin-email-extractor/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request