Legal Exposure Assessment For Your Web Scraping Project

Please answer the following questions to help us assess the legal exposure of your web scraping project. Select the option that best applies to you.

What is the primary purpose of your scraping project?

A

Research or academic analysis

B

Competitive intelligence or price monitoring

C

Lead generation or marketing outreach

D

Personal hobby or non-commercial use

What type of data are you collecting?

A

Publicly visible, non-sensitive data (e.g., prices, product titles)

B

User-generated content (e.g., reviews, comments)

C

Personal or PII (e.g., emails, addresses)

D

Proprietary, pay-walled, or copyrighted content

Is the data you’re scraping subject to copyright or other legal protections?

A

No, public domain or very basic facts

B

Yes, copyrighted text or images

C

Mixed content—some protected, some not

D

Not sure

Does the data obtained through web scraping in any way compromise the privacy of the individual?

A

No, only aggregated or anonymized data

B

Yes, contains identifiable personal data

C

Partially, contains indirect identifiers

D

Not sure

Does the data contain pornography, especially child pornography?.

A

No pornographic content detected

B

Yes, adult-only pornography

C

Yes, includes child pornography

D

Not sure

What is the approximate volume of data you plan to collect per scrape?

A

Up to 1,000 records

B

1,000–10,000 records

C

10,000–100,000 records

D

100,000 - 1 million records

E

More than one million records

What is the current web scraping rate (records scraped per second) per website?

A

Less than 10 records/sec

B

10–50 records/sec

C

50–100 records/sec

D

100–1000 records/sec

E

Over 1000 records/sec

Does the site require user authentication or special access (e.g., login)?

A

No, fully public pages

B

Yes, login required

How frequently will your scraper access the site?

A

One-time or one-off

B

Daily or less

C

Hourly

D

More than once per hour

Have you implemented anonymisation measures specifically for your web scraping activity?

A

Yes, full anonymisation/pseudonymization applied to scraped data

B

Partial anonymization applied only to sensitive fields

C

No, scraped data remains identifiable

D

Not applicable/No personal data collected

Are you using techniques to fully anonymise your web scraping activity?

A

Yes

B

No

Do you plan to implement polite crawling (rate-limiting, request delays) to avoid overloading the site?

Adding pauses between requests helps prevent DOS-style impacts on servers.

Do you plan to implement polite crawling (rate-limiting, request delays) to avoid overloading the site?

A

Yes, strict rate limits and delays

B

Yes, simple delays only

C

No, high-speed scraping

D

Unsure

Will you redistribute or commercialise the scraped data?

A

No, for internal use only

B

Yes, share with partners under license

C

Yes, sell or publish publicly

D

Unsure

Which country is your organization based in (for GDPR/data-protection applicability)?

A

European Union member state

B

United Kingdom

C

United States

D

Other

Does your scraping comply with anti-hacking laws (e.g., CFAA in the U.S., Computer Misuse Act in the U.K.)?
Anti-hacking statutes can criminalize unauthorized access, even of public pages.

Does your scraping comply with anti-hacking laws (e.g., CFAA in the U.S., Computer Misuse Act in the U.K.)? Anti-hacking statutes can criminalize unauthorized access, even of public pages.

A

Yes, reviewed and compliant

B

Reviewed, unsure about specifics

C

No, not reviewed

D

Unsure

Have you conducted a Data Protection Impact Assessment (DPIA) for your web scraping project?
A DPIA helps identify and mitigate data-protection risks before processing begins.

Have you conducted a Data Protection Impact Assessment (DPIA) for your web scraping project? A DPIA helps identify and mitigate data-protection risks before processing begins.

A

Yes, completed and documented

B

In progress

C

Planned, not started

D

Not required/Unsure

Is your team aware of web scraping best practices and compliance obligations (e.g., GDPR, polite crawling)?

A

Yes, formal training and documented guidelines in place

B

Informal knowledge sharing only

C

No, but planning to provide training

D

No, not planning to provide training

Have you reviewed copyright fair-use provisions or license exemptions for reusing the data?

Some jurisdictions allow limited reuse under “fair use” or specific licence terms.

Have you reviewed copyright fair-use provisions or license exemptions for reusing the data?

A

Yes, fair-use analysis completed

B

Yes, licence terms permit reuse

C

No, not reviewed

D

Unsure

Have you secured contractual protections (indemnity, limitation of liability) with any data providers or end-users of the scraped data?

A

Yes, indemnity and liability limits secured

B

Yes, indemnity only (no liability limits)

C

No, not secured

D

Unsure

Do you carry any cyber or professional liability insurance that would cover a legal claim arising from web scraping activities?

A

Yes, full coverage in place

B

Yes, but limited to specific risks

C

No, but planning to obtain

D

No, not planning/Unsure

Legal Exposure Assessment For Your Web Scraping Project

What is the primary purpose of your scraping project?

What type of data are you collecting?

Is the data you’re scraping subject to copyright or other legal protections?

Does the data obtained through web scraping in any way compromise the privacy of the individual?

Does the data contain pornography, especially child pornography?.

What is the approximate volume of data you plan to collect per scrape?

What is the current web scraping rate (records scraped per second) per website?

Does the site require user authentication or special access (e.g., login)?

How frequently will your scraper access the site?

Have you implemented anonymisation measures specifically for your web scraping activity?

Are you using techniques to fully anonymise your web scraping activity?

Do you plan to implement polite crawling (rate-limiting, request delays) to avoid overloading the site?

Will you redistribute or commercialise the scraped data?

Which country is your organization based in (for GDPR/data-protection applicability)?

Does your scraping comply with anti-hacking laws (e.g., CFAA in the U.S., Computer Misuse Act in the U.K.)? Anti-hacking statutes can criminalize unauthorized access, even of public pages.

Have you conducted a Data Protection Impact Assessment (DPIA) for your web scraping project? A DPIA helps identify and mitigate data-protection risks before processing begins.

Is your team aware of web scraping best practices and compliance obligations (e.g., GDPR, polite crawling)?

Have you reviewed copyright fair-use provisions or license exemptions for reusing the data?

Have you secured contractual protections (indemnity, limitation of liability) with any data providers or end-users of the scraped data?

Do you carry any cyber or professional liability insurance that would cover a legal claim arising from web scraping activities?

Please enter your email address for sharing a detailed legal exposure report based on your answers.

Does your scraping comply with anti-hacking laws (e.g., CFAA in the U.S., Computer Misuse Act in the U.K.)?
Anti-hacking statutes can criminalize unauthorized access, even of public pages.

Have you conducted a Data Protection Impact Assessment (DPIA) for your web scraping project?
A DPIA helps identify and mitigate data-protection risks before processing begins.