Building an Email Extractor App with Streamlit & Python (2021)

In this tutorial we will build a simple app using Streamlit, Pandas and NeatText & Requests in Python for Email Extractor.

Official Docs:https://www.streamlit.io/
? Code:https://github.com/Jcharis/Streamlit_DataScience_Apps/tree/master/email_extractor_app
? :: pip install streamlit pandas neattext

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◾◾◾TimeStamps ◾◾◾
0:02 Demo
4:00 App Workflow
5:30 Installing Packages
6:15 App Structure and Sections
10:18 Single Extractor Section
12:00 Overview of NeatText For Extracting Emails
13:30 Extracting Emails
17:10 Convert Results to DataFrame
18:00 Download Feature For Results
20:45 Bulk Extractor Section
23:40 Multiple Functions via Dictionary
27:50 Making CSV Downloadable over Streamlit
30:50 Search & Extract Section
31:25 Exploring Google Search Query
33:20 Working with Requests
40:20 Generating the Query
46:18 Adding Beautification with CSS
50:00 Summary & Recap


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J-Secur1ty JCharisTech

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