Glen De Cauwsemaecker
Neha Setia Nagpal
Pre-register for 2023
Extraction Summit 2020
Enjoy the talks from the Web Data Extraction Summit 2020
Extract Summit Introduction & State of the Industry with Shane Evans
AI-Powered Crawling with Ivan de Prado Alonso
Running a Business On Web Scraped Data - Pierluigi Vinciguerra
Utilizing the Scrapy Cloud API for a Seamless Data Pipeline - Johnel Bacani
Cutting edge ways to tackle antibot challenges with Attila Toth, Akshay Philar, Tomas Rinke, & Peng-Yu Chen
Hidden Scrapy Features That You Need To Know with Mikhail Korobov
TellFinder Alliance: Technology and Data to Fight Human Trafficking - Amanda Towler & Chris Dickson
Legal Compliance in the World of Web Scraping with Sanaea Daruwalla, Sarah McKenna, Marc Zwillinger, & Paul Griffin
DataOps and The Culture You Need If You Want To Stay Sane with José Manuel Navarro
Overcoming Price Variations On The Day: In Search of Real-time with Alfonso de la Guarda
How intelligence Services Use Open-Source Data and Why Data Fusion is Key to Their Success with Michael McCracken
Trials & Tribulations in Crawling the Darkweb with Gareth Owenson & David Andreas
Web Scraping Tech Stack for 2020 with Ondra Urban - Extract Summit 2020
Web Scraping for Real-Time Surveillance of Food Security Policies During COVID-19 with Nicky Tettamanti
Record Matching & Classification of your Web Data with AI with Wesley Shepherd
Separating Extraction From Crawling Logic With Web-Poet with Victor Torres
Would you like to speak at Extract Summit 2022?
We invite you to apply to speak!
We’re looking for industry experts to share their experience on everything related to web data extraction.
Apply to speak
This year’s event is focusing on four major topics:
Did you know?
We love to hear about your insights on technical and business-related challenges and practical “how tos”.
Ethical web data extraction
Web scraping best practices and ethical use cases.
Quality, scalability and accessibility
The 3 pillars of web data extraction
The future of web scraping
AI, machine learning, and what does the future hold for data extraction?