Is web scraping legal?
Web scraping is not automatically illegal in the United States. Collecting factual information from publicly accessible webpages can present a lower-risk profile than accessing private or restricted systems, but legality depends on the data being collected, how it is accessed, applicable website terms, privacy and copyright considerations, the jurisdiction, and what you do with the data afterward.
Important: This article provides general information about web data collection and is not legal advice. Laws, contractual obligations, and court decisions vary by jurisdiction and facts. Consult qualified legal counsel for advice about a specific data collection project.
Is Web Scraping Legal in the United States?
There is no single U.S. law that says all web scraping is legal or all web scraping is illegal. Instead, different legal issues can apply depending on the circumstances.
For a business evaluating a web data project, the useful question is therefore not simply “Can websites be scraped?” It is: what information will be collected, where is it available, how will it be accessed, and what will the business do with it?
Public product prices, stock status, business locations, SKUs, and other factual business information raise a different set of considerations from personal information, copyrighted content, information behind authentication, or data obtained by circumventing technical access controls.
What
Identify the exact fields: prices, SKUs, inventory, reviews, personal information, images, or other content.
Where
Determine whether the information is public, requires an account, sits behind a paywall, or exists in a private portal.
How
Consider authentication, technical restrictions, request frequency, site rules, and the method used to access the information.
Why
Internal analytics, price monitoring, AI training, lead generation, resale, and republication can create different considerations.
Is Publicly Available Data Legal to Scrape?
Public accessibility matters, but “publicly visible” does not mean “free from every legal restriction.”
Information displayed on a webpage without a login can be materially different from information available only after authentication. U.S. court decisions involving the Computer Fraud and Abuse Act have made that distinction particularly important.
But public access alone does not resolve questions involving copyright, privacy, contractual restrictions, database rights outside the United States, or downstream use. Businesses should evaluate the specific information rather than treating the word “public” as a blanket permission.
Often Lower-Risk Business Data
- Public product prices
- SKU and model numbers
- Public stock or availability status
- Business/store locations
- Public product specifications
- Publicly displayed ratings and review counts
Requires Closer Review
- Personal contact information
- User profiles and account data
- Full reviews or user-generated content
- Articles, photographs, and creative works
- Authenticated or paywalled information
- Information subject to contractual restrictions
For example, monitoring publicly displayed ecommerce prices for internal competitive analysis is materially different from copying a publisher’s complete articles and republishing them elsewhere.
If your organization needs structured information from public websites, see how Kvetoiq’s web scraping services scope sources, fields, frequency, and delivery requirements before production collection begins.
Web Scraping Risk Matrix for Business Data
No table can determine whether a particular project is lawful. This matrix is designed instead to help data teams identify where additional review may be appropriate before collection.
| Collection Scenario | Illustrative Risk Profile | Why It Matters |
|---|---|---|
| Public product prices and SKUs | LOWER | Common examples of publicly displayed factual business information. |
| Public inventory or store availability | LOWER | Often factual information, assuming normal public access and responsible request rates. |
| Public company directory information | REVIEW | The dataset may include information relating to identifiable individuals. |
| Customer reviews and user-generated content | REVIEW | Copyright, privacy, platform terms, and downstream use may matter. |
| Personal emails, phone numbers, or profiles | HIGHER | Privacy and data-protection obligations may apply even when some information is publicly visible. |
| Information requiring login credentials | HIGHER | Authentication and contractual/access restrictions introduce additional issues. |
| Paywalled or technically restricted information | HIGHER | Circumvention and unauthorized-access questions can become relevant. |
| Republishing complete articles or photographs | HIGHER | Copyright protection can apply to original expression even when content is publicly viewable. |
| High-volume requests that materially disrupt a site | HIGHER | Collection architecture and request behavior matter, not only the data fields. |
Illustrative only. “Lower” does not mean legally approved, and “higher” does not mean automatically unlawful. Specific circumstances require individual assessment.
How to Evaluate a Web Scraping Project Before Collection
A useful pre-collection review starts with the source and moves toward access, data sensitivity, request behavior, and intended use.
What U.S. Courts Have Said About Web Scraping
Court decisions do not create a universal permission to scrape. They do, however, help explain why the distinction between publicly available information, authorized access, authentication, and contractual restrictions matters.
Van Buren v. United States
The U.S. Supreme Court addressed the meaning of “exceeds authorized access” under the Computer Fraud and Abuse Act in a case involving authorized access to a computer database for an improper purpose.
hiQ Labs v. LinkedIn
The Ninth Circuit addressed automated collection of information available on public LinkedIn profiles and whether accessing that publicly available information was “without authorization” under the CFAA.
Meta Platforms v. Bright Data
A federal court considered contractual claims involving Bright Data’s collection of information from Facebook and Instagram, including distinctions involving public information and account-based access.
Do not interpret hiQ as “the courts made web scraping legal.” CFAA, contract, copyright, privacy, and other legal questions are distinct and can produce different outcomes from the same collection activity.
What Laws and Rules Can Apply to Web Scraping?
Web scraping law is better understood as an intersection of several legal areas rather than one dedicated “web scraping law.”
Computer Fraud and Abuse Act (CFAA)
The CFAA is a federal computer-access law. Questions about authorization and circumventing technical access restrictions can become particularly important when information is not openly available to the public.
Copyright
Facts generally receive different copyright treatment from original creative expression. Copying prices or factual product attributes is therefore not the same issue as copying and republishing photographs, articles, or creative descriptions.
Contracts & Terms of Service
Website Terms of Service can create contractual questions separate from the CFAA. Their relevance and enforceability depend on the circumstances, including how the user encountered and agreed to the terms.
Privacy Laws
Collection involving identifiable individuals may trigger privacy obligations. Depending on the business and jurisdiction, frameworks such as California’s CCPA/CPRA or other privacy laws may require additional assessment.
GDPR
Organizations collecting personal data relating to individuals in the European Economic Area may need to evaluate GDPR requirements even when information was available online.
Other Legal Considerations
Depending on the dataset and use case, database rights, trespass theories, confidentiality obligations, sector-specific regulations, or other laws may also require review.
Are Terms of Service and robots.txt the Same as Law?
Is scraping against a website’s Terms of Service illegal?
Not automatically in the sense that violating a website term necessarily equals a criminal offense. Terms of Service can, however, create contractual issues, and their effect depends on the facts, the terms themselves, how agreement was formed, and the applicable jurisdiction.
That is why a responsible collection review should consider contractual restrictions separately from questions about technical authorization under laws such as the CFAA.
Is ignoring robots.txt illegal?
A robots.txt directive is part of the Robots Exclusion Protocol and is not, by itself, a universal statute that determines whether scraping is lawful. It does communicate instructions or preferences to automated crawlers and should be evaluated as part of responsible collection planning alongside site terms, access controls, and request rates.
What about CAPTCHA, login walls, and other access controls?
Technical barriers materially change the risk analysis. A page that requires authentication or technical circumvention should not be treated as equivalent to a normal webpage that any visitor can open without an account.
Organizations planning large-scale public-web collection can use managed web crawling services to define sources, crawl scope, frequency, and structured outputs before building recurring collection workflows.
Is Web Scraping Legal for Commercial Use?
Commercial use does not create a simple yes-or-no rule. Businesses routinely use publicly available web information for analytics, research, monitoring, and intelligence, but the collection method, data type, and downstream use still matter.
Common business applications include competitor price monitoring, product assortment analysis, market research, digital shelf measurement, public real estate analysis, travel pricing research, and marketplace intelligence.
For ecommerce teams, for example, ecommerce data scraping can transform public product information such as prices, availability, ratings, and product attributes into structured datasets for analysis.
Example A: Public Price Monitoring
Example B: Restricted Content Collection
Does Publicly Available Personal Data Become Fair Game?
No. Public visibility and privacy compliance are separate questions.
A business address, product price, or store opening time is different from information associated with an identifiable individual. When a dataset includes names, personal contact details, user profiles, location information, or other personal information, applicable privacy rules should be evaluated before collection and use.
This is especially important when information will be combined across sources, enriched, profiled, sold, used for outreach, or retained at scale.
The safest operational approach is data minimization: define which fields are genuinely required for the business objective rather than collecting everything simply because it is technically available.
Is Web Scraping Legal for AI Training?
AI training adds another layer to the web scraping discussion because large datasets can contain copyrighted works, personal data, licensed content, and information from multiple jurisdictions.
There is no useful blanket rule that says “AI scraping is legal” or “AI scraping is illegal.” The analysis depends on the source material, access method, applicable copyright and privacy rules, licenses or contractual restrictions, jurisdiction, and the way the collected information is used.
Organizations building machine-learning datasets should therefore establish source criteria and field-level collection requirements before scaling acquisition. Kvetoiq’s AI training data services can support structured data requirements once the collection scope has been clearly defined.
A Responsible Approach to Public Web Data Collection
Responsible web data collection starts before the crawler runs. The objective is to define exactly what the business needs and design collection around that scope.
1. Define the source before building the scraper
Document the exact websites and page types required. Determine whether pages are publicly accessible and identify relevant site-access conditions.
2. Minimize the fields collected
Collect the fields required to answer the business question instead of creating unnecessarily broad datasets.
3. Separate public access from restricted access
Public pages, authenticated environments, APIs, and technically restricted resources should not be treated as equivalent collection environments.
4. Manage collection rates
Request frequency should reflect target infrastructure and project requirements rather than generating unnecessary load.
5. Define the downstream use
Internal analysis, data enrichment, AI training, outreach, republication, and resale can present different considerations. Define the intended use before collection begins.
Define a Responsible Data Collection Scope Before You Build
Tell us the websites, data fields, collection frequency, output format, and business objective. Kvetoiq can help scope the technical collection requirements and build a managed public-web data pipeline around your use case.
Frequently Asked Questions About Web Scraping Legality
Is web scraping legal?
Web scraping is not automatically illegal in the United States. The legal analysis depends on factors including whether information is publicly accessible, the access method, the type of data collected, website terms, copyright and privacy issues, jurisdiction, and intended use.
Is it legal to scrape publicly available information?
Public accessibility can reduce certain access-related concerns, but it does not create blanket permission to collect or use information in every way. Copyright, privacy, contractual restrictions, and other laws can still apply.
Is web scraping legal for commercial use?
Commercial web scraping is not governed by a simple blanket prohibition. Businesses use public web data for applications such as price monitoring and market research, but the source, access method, fields, applicable terms, and downstream use should still be assessed.
Can you legally scrape data behind a login?
Login-protected information creates additional access and contractual considerations and should not be treated the same as information openly available to any visitor. Obtain appropriate legal review before collecting restricted data.
Is scraping against robots.txt illegal?
robots.txt is a crawler communication standard rather than a universal law that independently determines legality. Responsible collectors should still evaluate robots.txt instructions alongside site terms, technical restrictions, and other relevant factors.
Is scraping personal data legal?
Personal data requires additional assessment. Privacy obligations may apply depending on the type of information, business, jurisdiction, purpose, and how the data is processed or shared, even when some information is publicly visible.
Does hiQ Labs v. LinkedIn mean web scraping is legal?
No. The case is important to the interpretation of the CFAA in relation to publicly available information, but it did not establish a universal legal right to scrape any website or eliminate separate questions involving contract, copyright, privacy, or other laws.
Can websites detect web scraping?
Websites can observe traffic patterns and use technical systems to identify automated requests. Detection, however, is a technical question and does not itself determine whether a particular collection activity is lawful.
Is Amazon web scraping legal?
There is no useful blanket answer based only on the name of the website. A project should be evaluated based on the exact Amazon pages and data fields involved, how they are accessed, applicable terms and restrictions, collection behavior, and intended use.
Is AI data scraping legal?
AI-related scraping can involve copyright, privacy, contract, licensing, and jurisdiction-specific considerations. Organizations should evaluate the source material and intended AI use before acquiring data at scale.
Legal Sources & Further Reading
For legal topics, Kvetoiq recommends checking primary legal authorities rather than relying exclusively on summaries from scraping vendors or technology blogs.
- U.S. Supreme Court — Van Buren v. United States, 593 U.S. 374 (2021). Supreme Court opinion
- U.S. Court of Appeals for the Ninth Circuit — hiQ Labs, Inc. v. LinkedIn Corp., 31 F.4th 1180 (9th Cir. 2022). Ninth Circuit opinion
- U.S. Code — Computer Fraud and Abuse Act, 18 U.S.C. § 1030. Read the statute
- California Privacy Protection Agency — California Consumer Privacy Act resources. CPPA regulations
- European Data Protection Board — Guidelines 03/2026 on web scraping in the context of generative AI. EDPB guidance
Last reviewed: August 2026. Web scraping law continues to evolve. This guide should be periodically reviewed as courts, regulators, privacy rules, and AI-related data guidance develop.
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