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Past videos:
Extraction Summit 2021

Enjoy the talks from the Web Data Extraction Summit 2021

All talks at one glance

Extract Summit 2021: Welcome and update with Shane Evans
Extract Summit 2021: How do we measure quality Konstantin Lopukhin
Extract Summit 2021: Alternative data demand & supply factors: Overall growth drivers
Extract Summit 2021: Scraping financial data - a practitioner's perspective with Linus Nilsson
Extract Summit 2021: Need to scrape 20 websites in 3 hours? with Mikhail Korobov
Extract Summit 2021: Applying design thinking to build effective dashboard for data visualization
Extract Summit 2021: Content centric advertisement without tracking users' personal data
Extract Summit 2021: AMA session
Extract Summit 2021: Building a real estate market monitoring tool with Scrapy andTimescaleDB
Extract Summit 2021: Challenges faced when dealing with 100k websites with Eric Platow
Extract Summit 202:1 Scrape and graph your way to conference glory with Ljubica Lazarevic
Extract Summit 2021: From code to data live coding a small blog scraper with Jônatas Paganini
Extract Summit 2021: All you need to know about headless browsers with Paweł Miech
Extract Summit 2021: Review and evolutuon of anti bots with Evgeny Slaikovsky
Extract Summit 2021: Adaptive learning with PandioML with Joshua Odmark
Extract Summit 2021: When to flip the table SQL to NoSQL to NewSQL with Rain Leander
Extract Summit 2021: Legal hot topics in web data extraction

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?
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