Is web scraping legal in Poland and the EU? Rules, GDPR and best practices

Is automated data collection from third-party websites legal? This is one of the very first questions asked by business owners planning to implement competitor price monitoring, wholesale catalogue synchronisation or automated lead and tender collection.

The short answer is: yes, web scraping is generally legal in Poland and across the European Union, provided it targets publicly accessible information and complies with established legal boundaries. Web scraping itself is simply an automation technique for retrieving data from the web, fundamentally similar to how search engine crawlers like Googlebot or desktop web browsers operate.

However, the legality of any specific scraping project depends on three decisive criteria: what data you collect, how you collect it, and how you intend to use it.

Important notice: This article covers technical and business engineering principles in light of European case law and standard market practices. It does not constitute formal legal advice. For questions regarding a specific implementation, consult a legal professional specialising in technology and data protection law.

The 4 legal pillars of web scraping in the EU

When evaluating the compliance of a scraping workflow, four key legal areas must be considered:

1. Public accessibility versus technical access controls

The foundational rule is straightforward: if information is made publicly available on the web to any visitor without authentication or login restrictions, reading it programmatically does not constitute unauthorised access to an IT system.

A legal violation occurs when security controls are intentionally circumvented. Accessing data by bypassing technical barriers (such as cracking passwords, forging authentication tokens or circumventing paywalls) is illegal under computer fraud and cybercrime legislation.

When information is exposed in open HTML pages, automated retrieval does not violate these access provisions.

2. Database protection (sui generis rights)

In European Union law (under Directive 96/9/EC on the legal protection of databases and national transposition acts), the maker of a database enjoys sui generis protection if substantial financial, human or technical investment was made to build or verify it.

The law prohibits:

• extraction of the whole or a quantitatively or qualitatively substantial part of the database,
• repeated and systematic extraction of insubstantial parts if this conflicts with normal exploitation or unreasonably prejudices the legitimate interests of the database creator.

In practice: monitoring individual product prices, checking stock levels or verifying specific catalogue updates is fully legitimate. What crosses the line is replicating an entire competitor database wholesale and publishing it as your own commercial offering.

3. Personal data protection (GDPR)

This represents the highest compliance sensitivity. If your scraping process collects personal data relating to identifiable individuals (such as personal names, private telephone numbers, email addresses or personal profiles):

• GDPR rules apply in full,
• you must have a valid legal ground for processing (such as legitimate interest under Article 6(1)(f) GDPR),
• you must satisfy transparency and notification obligations under Article 14 GDPR.

Fortunately, most commercial B2B automation initiatives focus purely on market, product and pricing data (prices, stock statuses, EAN codes, technical specifications, public procurement notices), which do not constitute personal data.

4. Website terms of service (ToS)

Many websites include anti-scraping clauses in their terms and conditions. What is the legal weight of such provisions?

In European and international jurisprudence, terms of service operate as civil contracts. For public web pages where visitors do not create an account or actively consent to terms via a checkbox, courts have frequently held that unilateral browse-wrap notices do not automatically strip visitors of the right to view and parse publicly published data. However, violating a site's terms may lead to technical measures, such as IP rate limits or blocklists.

What is legitimate versus what requires caution?

Activity	Legal status	Practical perspective
Competitor price monitoring	Safe	Public prices and availability statuses in web shops are open market facts.
Public tender and contract alerts	Safe	Public procurement portals and government registers are open by mandate.
Product parameter aggregation	Safe	Factual product attributes, measurements and numbers are not protected by copyright.
Copying creative text and images	High risk	Unique marketing copy and professional photos are protected by copyright law. Extract parameters and write your own descriptions.
Scraping personal data without consent	Prohibited	Carries severe risks under GDPR enforcement and regulatory fines.
Bypassing paywalls or login screens	Prohibited	Risk of cybercrime liability and clear breach of contractual terms.

Technical best practices: how to scrape responsibly

Compliance is not just about statutory law; it is also about responsible engineering. An unthrottled scraper executing hundreds of requests per second can degrade or crash a web server, which risks being classified as a Denial of Service (DoS) disruption.

When engineering automated data pipelines, adhere to these technical principles:

1. Rate limiting and backoff: Introduce sensible delays between requests. Your scraper should never degrade the performance of the host server.
2. Delta extraction: Rather than crawling entire domains daily, only fetch pages that have changed since the previous run (for example by checking If-Modified-Since HTTP headers or modification timestamps).
3. Caching: Cache static assets and repeated resources locally to minimise network traffic.
4. Transparent User-Agent: Provide an identifiable User-Agent string, preferably with a contact URL or email, so web administrators understand who is requesting their public pages.
5. Prioritise official feeds and APIs: Always check whether a service provides an official API, CSV export or XML feed. Structured interfaces are faster, more reliable and mutually beneficial.

Summary

Web scraping is a legitimate, standard business capability when:

• it targets publicly available commercial and product information,
• it does not infringe copyright on creative marketing copy and imagery,
• it does not process personal data without a lawful basis under GDPR,
• it respects server capacity and operates with responsible rate limiting.

If you are evaluating automated data collection for your business, read our guide on how to extract website data into Excel or an application, or explore how to monitor competitor prices automatically.

To discuss a custom data pipeline built for stability and compliance, explore our systems and data integrations service or contact us directly.