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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Modern Web Data Extraction: Techniques, Tools, and Legal & Ethical Considerations

Domagoj Marić

Is your web scraper risking IP bans or lawsuits? Master strict politeness policies and modern Python tools to build resilient, legally compliant data extraction pipelines.

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#1 about 3 min

Core definitions of modern web data extraction

Core definitions distinguishing iterating through links from extracting specific site data.

#2 about 2 min

Common use cases for extracting external web data

How businesses utilize scraped external data for competitive analysis and model training.

#3 about 3 min

Legal precedents and the gray zone of scraping

Lessons learned from prominent lawsuits regarding unauthorized access and platform aggregation.

#4 about 1 min

Key policies for compliant and polite crawling

Important mechanisms for selecting appropriate targets without overloading server resources.

#5 about 3 min

Understanding robots exclusion protocol syntax and rules

Using text files to determine which server directories permit automated extraction.

#6 about 4 min

Terms of service and avoiding server overload

Mitigating block risks by managing request rates and configuring appropriate identification strings.

#7 about 3 min

Leveraging website sitemaps to optimize crawling frequency

Utilizing formatted structural files to schedule off-peak retrieval and identify modified content.

#8 about 3 min

Regulatory compliance and technical prerequisites for scraping

Safeguarding privacy with anonymization alongside necessary skills in document traversal and text analytics.

#9 about 3 min

Handling http network errors and anti-scraping challenges

Overcoming common blockers through protocol understanding, proxy rotation, and ongoing scraper maintenance.

#10 about 3 min

Exploring internal endpoints and alternative data services

Bypassing presentation layer extraction by interacting directly with backend request payloads or external providers.

#11 about 7 min

Choosing the appropriate python tools and frameworks

Selecting between static parsing libraries, heavy-duty frameworks, and browser automation utilities.

#12 about 2 min

Establishing a structured workflow for web scraping

A systematic methodology from checking permissions to inspecting elements and post-processing results.

#13 about 4 min

Practical extraction examples with static and dynamic methods

Step-by-step demonstrations extracting blog content using straightforward requests versus simulated human navigation.

#14 about 3 min

Summary of data extraction decisions and best practices

Final review of verifying legality, analyzing load strategies, and handling extracted artifacts responsibly.

Matching moments

5:54 min

The technical evolution of modern web scraping infrastructure

Chris Heilmann +4 · LIVE

1:19 min

Defining web scraping and recognizing proper use cases

Lars Kölker · WWC 2023

6:20 min

Securing competitive intelligence using automated web extraction crawlers

Coffee With Developers

1:19 min

Tailoring custom web scrapers for artificial intelligence training

Vidas Bacevičius Vidas Bacevičius · WWC 2025

2:14 min

Understanding the basic mechanics of automated web scraping

Vidas Bacevičius Vidas Bacevičius · WWC 2025

3:40 min

Overcoming modern anti-bot mechanisms and network access restrictions

Vidas Bacevičius Vidas Bacevičius · WWC 2025

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