Exporting WebEx Contacts – dataflow analytics blog

Have you ever wanted to export all your contacts out of Web-ex? I recently needed this feature, as our marketing team wanted to do some follow ups with potential users of Composable. Unfortunately, this feature doesn’t exist in web-ex.

I would have had to manually copy and paste hundreds of emails …. So what did I do? Composable to the rescue!

Basically I wrote a scrapper that loops through the pages in Web-ex, extracts out the emails, and then puts them in a spreadsheet. Pretty easy, and only took me a few minutes to stitch together.

Here’s how it works:

All you have to do is enter the number of contact pages you have in your account, and enter in the web-ex cookie, which you can get from Chrome’s debug tools once you log into Web-ex.

To get the cookie from your web-ex session, open up Chrome’s debug tools by hitting F12. Find the HTTP Request to list?listType=imported&currentPage=1. Then copy the cookie request header and paste it into the dataflow (see green arrows).

Then click run, and download the csv file.

Now I have a list of emails of everyone I’ve ever had a meeting with … pretty cool.

Feel free to try this on our own Composable instance. You can download the dataflow application here:

Export WebEx Contacts Dataflow

And just click import in the designer on your instance.

I imagine we could take this a step farther and even automate the followup emails within Composable, but I’ll leave that exercise to the author.

Author
Recent Posts

Lars Fiedler

Lars has comprehensive expertise building large complex software systems, and has served as a Software Engineer at MIT’s Lincoln Laboratory from 2010-2014, where he began developing Composable Analytics. Prior to joining Lincoln Laboratory, Lars worked as a Software Engineer at Microsoft Corporation from 2006 to 2010. Lars received his MS in Computer Science from Georgia Institute of Technology in 2004, and his BS in Computer Science from Georgia Tech in 2003.

Latest posts by Lars Fiedler (see all)

Code Reuse and Modularity in Composable - January 2, 2019
DataOps: Straightforward Data Migration - December 31, 2018
WIX: Scheduling a custom database upgrade to happen After=”InstallSqlData” and Before=”StartServices” - October 24, 2018

KDnuggets

Can Edge Analytics Become a Game Changer?

Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, gateways, and sensors. Deep Learning for edge analytics is also considered along with a review of experiments in human and chess figure detection using edge devices.

The Big Bad NLP Database: Access Nearly 300 Datasets

Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.

Hands on Hyperparameter Tuning with Keras Tuner

Or how hyperparameter tuning with Keras Tuner can boost your object classification network's accuracy by 10%.

Decision Tree Intuition: From Concept to Application

While the use of Decision Trees in machine learning has been around for awhile, the technique remains powerful and popular. This guide first provides an introductory understanding of the method and then shows you how to construct a decision tree, calculate important analysis parameters, and plot the resulting tree.

New Poll: When Will AutoML Replace Data Scientists (if ever)?

Take part in the latest KDnuggets poll by weighing in on when you think AutoML and Automated Data Science will replace humans — if ever.

Introducing fastpages: An easy to use blogging platform with extra features for Jupyter Notebooks

This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.

Top KDnuggets tweets, Feb 19-25: 9 lessons learned during my first year as a #DataScientist

Also The Next Decade in #AI: Four Steps Towards Robust #ArtificialIntelligence; Perl, yes, but will R be dead by 2030? #rstats Programming Languages You Won’t Use by 2030; Will AutoML eliminated Data Scientists? Let's do some tests to find out...Leaders, Changes, and Trends in Gartner 2020 #MagicQuadrant for #DataScience

Data Science Curriculum for self-study

Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary […]

Image Recognition and Object Detection in Retail

“According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI.”

Python and R Courses for Data Science

Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.