Articles from the Zyte blog in Web data collection legality.
Legal experts discuss how AI, web scraping, copyright law, and the EU AI Act intersect—covering fair use, data provenance, and compliance risks for businesses.

Explore how EU privacy regulators view AI web scraping, lawful bases like legitimate interest, risks of collecting personal data, and compliance best practices.

Explore what the UK Getty v. Stability AI ruling means for web scraping and AI developers, from jurisdiction and copyright risk to trademarks and EU compliance.

Explore the balance between innovation and regulation in data scraping. Recent court rulings (like Meta v. Bright Data) favor scraping public data, but compliance with copyright, 'fair use,' and strict GDPR rules for personal data remains essential.

The generative AI gold rush is upon us, with astounding new products and capabilities emerging that are fuelled by web data.

Bright Data has been having great success in getting the lawsuits brought against it by social media giants dismissed.

Zyte’s flagship product, Zyte API, now includes built-in features that automate crawling using spider templates, and our patented AI-powered automated extraction, which gives you quality structured data quickly without writing custom parsing code.

In 2023, Meta sued Bright Data for scraping data from Facebook and Instagram, alleging that its scraping breached Facebook and Instagram’s terms of service and is thus a breach of contract.

Web scraping challenges, ranging from IP bans and data accuracy to legal compliance issues, can trip up businesses trying to use web data to fuel machine learning and to make better decisions.

As you know we held the first-ever Web Data Extraction Summit last month.

One common misconception about scraping personal data is that public personal data does not fall under the GDPR.

In this third post in our solution architecture series, we will share with you our step-by-step process for conducting a legal review of every web scraping project we work on.
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