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Extracts the email from the user's description using Python & Google Custom Search Engine Api

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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 – @asraisinghwww.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

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