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README UPDATE
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README.md
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README.md
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@ -34,19 +34,16 @@ Additions:
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* Constrain to company filters
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* Addition of Hunter for e-mail prediction
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# To-Do List
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* Allow for horizontal scraping and mass automated company domain, and format prediction per company
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* Add Natural Language Processing techniques on titles to discover groups of similar titles to be stuck into same "department". This should then be visualised in a graph.
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# Usage
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Put in LinkedIn credentials in LinkedInt.cfg
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Put Hunter.io API key in LinkedInt.cfg
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Run LinkedInt.py and follow instructions
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1. Put in LinkedIn credentials in LinkedInt.cfg
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2. Put Hunter.io API key in LinkedInt.cfg
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3. Run LinkedInt.py and follow instructions (example below).
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# Example
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Using General Motors as the target as they have a bug bounty program.
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```
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██╗ ██╗███╗ ██╗██╗ ██╗███████╗██████╗ ██╗███╗ ██╗████████╗
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██║ ██║████╗ ██║██║ ██╔╝██╔════╝██╔══██╗██║████╗ ██║╚══██╔══╝
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