Bright Data workshop Takes New York, Boston, And Haifa By Storm

Cocktails, good conversations, research , and industry data trends characterized Bright’s recent events
Bright Data workshop takes New York, Boston, and Haifa by storm
Anna Sharma
Anna Sharma | Marketing Manager

In this post we will discuss how:

In-person data sessions empowered data specialists from across different industries 

October witnessed Bright Data making a big comeback in terms of international, in-person events. As much as we loved working with companies over Zoom, there is something about face-to-face meetings that cannot be recreated online. 

We held in-depth sessions with:

  • Software developers
  • Data engineers
  • Product managers 
  • Data analysts 

And were really able to touch at the core of their data collection/analysis projects. Many of the participants came from the Data as a Service (DaaS) industries including:

  • Social network/ business data
  • eCommerce data
  • Financial data

Professionals were excited to meet the engineers behind the world’s largest data collection network 

The directors of Bright Datas’ proxy products, Aviv Besinsky together with Josh Vanderwilck, were both able to engage with the audience in a creative way. They delved deep into the back-end of our products, as well as the different unique applications of tools such as Web Scraper IDE, and Web Unlocker

For example, we discussed the impact that Hurricane Henry had a couple of weeks back on the  East Coast of the U.S. This was a great example of a major event that generated petabytes upon petabytes of information in an instant.

A lot of the new information created is categorized as ‘alternative data’ which can be collected automatically by tools like Web Scraper IDE. They include datasets such as: 

  • Satellite imagery of the storm, and affected shipping routes 
  • Public sentiment on social media regarding travelling
  • News stories being published on the matter

And can be indicative of:

  • Changes in fuel supply chains impacting prices
  • Fluctuating travel prices/consumer demand and availability
  • Shifting patterns of electricity usage and/or outages

This information can be extremely useful when looking to make real-time business decisions based on live events. 

We also discussed other creative ways in which data collection is driving different industries such as manpower agencies or in-house diversity hiring. A good example of this is Mathison, a company that uses Bright Data in order to:

  • Drive their platform that centralizes hundreds of inclusive talent networks
  • Provide employers a single place to manage their diversity hiring activities

Instead of having to manually scan the web for uniquely positioned talent, they are able to completely automate this process, feeding their systems with relevanT, real-time ‘people data’ / ‘company data’. 

It wasn’t just about the data 

It is important to mention that these workshops were not just about the data but rather a celebration of coming offline and returning to in-person events. The weather was beautiful, and:

  • In New York we discussed our industry challenges with the Empire State building in the background and cocktails in hand
  • In Boston we mingled, and spoke about the opportunities that data collection is creating across the board with a view of the shimmering harbour, and historic Tea Party Museum lingering behind us 

The bottom line 

Beyond bringing concrete value to participants, these workshops were symbolic of the shift to our new post-lockdown reality, learning to live with, and prosper in spite of COVID. We are excited to be among the first in the industry to hold such in-person events globally, and are cautiously optimistic of seeing them as a beacon of hope for the year to come.


Anna Sharma
Anna Sharma | Marketing Manager

As a marketing manager at Bright Data, Mrs. Sharma has been leading Bright Data's marketing presence at key industry events as well as digital marketing activities both in Israel and across the globe.

You might also be interested in

What is data aggregation

Data Aggregation – Definition, Use Cases, and Challenges

This blog post will teach you everything you need to know about data aggregation. Here, you will see what data aggregation is, where it is used, what benefits it can bring, and what obstacles it involves.
What is a data parser featured image

What Is Data Parsing? Definition, Benefits, and Challenges

In this article, you will learn everything you need to know about data parsing. In detail, you will learn what data parsing is, why it is so important, and what is the best way to approach it.
What is a web crawler featured image

What is a Web Crawler?

Web crawlers are a critical part of the infrastructure of the Internet. In this article, we will discuss: Web Crawler Definition A web crawler is a software robot that scans the internet and downloads the data it finds. Most web crawlers are operated by search engines like Google, Bing, Baidu, and DuckDuckGo. Search engines apply […]

A Hands-On Guide to Web Scraping in R

In this tutorial, we’ll go through all the steps involved in web scraping in R with rvest with the goal of extracting product reviews from one publicly accessible URL from Amazon’s website.

The Ultimate Web Scraping With C# Guide

In this tutorial, you will learn how to build a web scraper in C#. In detail, you will see how to perform an HTTP request to download the web page you want to scrape, select HTML elements from its DOM tree, and extract data from them.
Javascript and node.js web scraping guide image

Web Scraping With JavaScript and Node.JS

We will cover why frontend JavaScript isn’t the best option for web scraping and will teach you how to build a Node.js scraper from scratch.
Web scraping with JSoup

Web Scraping in Java With Jsoup: A Step-By-Step Guide

Learn to perform web scraping with Jsoup in Java to automatically extract all data from an entire website.
Static vs. Rotating Proxies

Static vs Rotating Proxies: Detailed Comparison

Proxies play an important role in enabling businesses to conduct critical web research.