Is LinkedIn Enrichment Legal for Events? A Privacy-First Guide
Is LinkedIn enrichment legal for events? This practical guide explains how GDPR, UK GDPR, CCPA/CPRA, LinkedIn terms, consent, legitimate interests, transparency, and event networking practices can affect attendee data enrichment.
- Is LinkedIn enrichment legal for events? This practical guide explains how GDPR, UK GDPR, CCPA/CPRA, LinkedIn terms, consent, legitimate interests, transparency, and event networking practices can affect attendee data enrichment.
- LinkedIn enrichment generally means adding professional information associated with a LinkedIn profile to an existing attendee, speaker, sponsor, prospect, or event record.
- Enrichment is a broad data-processing activity.
- When attendees intentionally provide professional information, the source and purpose are generally easier to explain.
- More questions arise when professional information comes from somewhere other than the attendee.
LinkedIn enrichment generally means adding professional information associated with a LinkedIn profile to an existing attendee, speaker, sponsor, prospect, or event record. An organizer might begin with a registration containing a person's name, company, and email address, then seek additional information such as their job title, professional background, industry, or other profile details.
LinkedIn enrichment for events may be lawful in some circumstances, but legality cannot be determined from the source of the information alone. A narrow workflow can look very different from large-scale automated enrichment.
Where GDPR or UK GDPR applies, enriching an attendee record with LinkedIn-derived information is still a form of personal-data processing when the information relates to an identified or identifiable person. The fact that a job title, employer, or professional biography is publicly visible does not remove the need to assess lawfulness, transparency, necessity, and proportionality.
Consent can be a lawful basis under GDPR, but it is not the only lawful basis available under Article 6 . Depending on the specific workflow, another basis may be relevant.
Legitimate interests may sometimes provide a lawful basis for processing under GDPR Article 6(1)(f), but it is not an automatic permission to enrich attendee profiles. A practical legitimate interests assessment normally considers three questions: Purpose: Is there a genuine and legitimate reason for the processing?
When personal data is obtained from another source rather than directly from the individual, GDPR transparency obligations can change. Article 14 addresses information that may need to be provided when personal data has not been obtained from the data subject.
Title: "Is LinkedIn Enrichment Legal for Events? Privacy Guide"
Description: "Is LinkedIn enrichment legal for events? Learn how GDPR, CCPA, LinkedIn terms, consent, legitimate interests and attendee privacy affect event enrichment."
Is LinkedIn Enrichment Legal for Events? A Privacy-First Guide
Is LinkedIn enrichment legal for events? It can be, but there is no universal yes-or-no rule. Whether LinkedIn enrichment for events is lawful depends on where attendees are located, what personal data is collected, where that data comes from, how it is obtained, the purpose for using it, the legal basis that applies, what attendees are told, and what happens to their information afterward.
There is also an important distinction that event organizers can easily miss: privacy law and LinkedIn's platform rules are separate compliance questions. A processing activity may need to satisfy laws such as the EU General Data Protection Regulation (GDPR), UK GDPR, or California privacy rules while also complying with the contractual terms governing access to LinkedIn data.
This guide provides general information about privacy and event-data practices and is not legal advice. Requirements vary by jurisdiction and by the facts of a particular processing activity.
What Does LinkedIn Enrichment Mean in an Event Context?
LinkedIn enrichment generally means adding professional information associated with a LinkedIn profile to an existing attendee, speaker, sponsor, prospect, or event record. An organizer might begin with a registration containing a person's name, company, and email address, then seek additional information such as their job title, professional background, industry, or other profile details.
But the term “enrichment” describes the result, not necessarily the collection method. The same enriched attendee record could be created in several materially different ways. An attendee might voluntarily submit a LinkedIn URL, an organizer might manually review information, an authorized integration might retrieve permitted fields, a third-party data provider might supply additional attributes, or an automated system might extract information from profile pages.
That difference matters. The privacy and contractual analysis for attendee data enrichment can change substantially depending on how the information was obtained and what the organizer does with it afterward.
Enrichment, Scraping, and Attendee-Submitted Data Are Not the Same Thing
Enrichment is a broad data-processing activity. Scraping is a collection technique, usually involving automated extraction of information from webpages or other digital interfaces. Attendee-submitted data, by contrast, comes directly from the person when they intentionally provide it during registration, profile creation, or another interaction.
These categories should not be treated as interchangeable. For example, asking an attendee to enter their job title and networking interests creates a different privacy context from automatically finding that individual elsewhere and importing a larger professional profile without a direct interaction.
The practical questions therefore begin before an organizer asks whether the enrichment itself is legal:
- Where does each data field come from?
- How is it being obtained?
- Why is that information necessary for the event?
- Has the attendee been told how it will be used?
- Which privacy laws and platform terms apply?
Attendee-Submitted Professional Information
When attendees intentionally provide professional information, the source and purpose are generally easier to explain. A conference registration form might ask for a role, company, interests, or networking objectives because those details are used to personalize the event experience.
Direct collection does not eliminate privacy obligations. Depending on the jurisdiction, organizers may still need an appropriate lawful basis, a privacy notice, retention rules, security controls, and mechanisms for exercising applicable privacy rights. The advantage is that the data flow can be more transparent and aligned with the attendee's immediate relationship with the event.
Third-Party or Automatically Collected Information
More questions arise when professional information comes from somewhere other than the attendee. Organizers may need to examine the source of the information, the provider's right to supply it, the scale of collection, whether the data is accurate, whether the attendee would reasonably expect the use, and whether additional transparency requirements apply.
The fact that a data vendor offers a field does not by itself establish that every downstream use of that field is lawful. Event organizers should understand the provenance of enriched data instead of treating the vendor relationship as a substitute for their own compliance analysis.
Publicly Visible Does Not Necessarily Mean Unrestricted
A recurring misconception is that information becomes unrestricted simply because anyone can see it online. Under the GDPR, information relating to an identified or identifiable natural person can still qualify as personal data even when it is publicly accessible. The GDPR's definition of personal data is set out in Article 4 of Regulation (EU) 2016/679.
That means an organizer should not stop the analysis at “the LinkedIn profile was public.” The more relevant questions are why the information is being processed, which legal basis applies where required, whether the processing is transparent and proportionate, and whether principles such as purpose limitation and data minimization are being respected.
Public Data and Attendee Expectations
Visibility also does not necessarily answer whether a particular secondary use would surprise someone. A professional may make information available so colleagues, recruiters, clients, or other professionals can understand their background. That does not automatically determine how they would expect an unrelated event organizer to copy, combine, score, infer from, or retain that information.
Jurisdiction Matters
Privacy obligations can vary according to the attendee's location, the organizer's establishment and activities, the relevant law's territorial scope, the type of information involved, and the purposes for which it is processed. Multi-country events therefore deserve a jurisdiction-specific review rather than a single global assumption.
So, Is LinkedIn Enrichment Legal for Events?
LinkedIn enrichment for events may be lawful in some circumstances, but legality cannot be determined from the source of the information alone. Organizers need to consider applicable privacy law, the lawful basis or other processing justification, transparency obligations, data minimization, purpose limitation, individual rights, data provenance, and any contractual restrictions governing how the source information is accessed.
A narrow workflow can look very different from large-scale automated enrichment. For example, an attendee voluntarily providing professional details for networking creates fewer surprises than silently expanding thousands of registration records with externally sourced attributes for unrelated marketing purposes. Neither scenario should be judged solely by the word “enrichment.”
The Five Questions That Usually Determine the Risk
Before enriching attendee records, organizers should be able to answer five fundamental questions:
- What data are you collecting? A current job title presents a different context from private contact details, sensitive information, or extensive inferred attributes.
- Where did it come from? Direct collection, licensed data, an authorized API, a third-party provider, and automated extraction create different provenance questions.
- Why do you need it? Networking recommendations, event operations, advertising, lead scoring, and post-event sales outreach are separate purposes.
- What permits the processing? Where GDPR applies, for example, processing needs an applicable legal basis under Article 6.
- What did you tell the attendee? Transparency requirements can differ depending on whether the information was obtained directly from the person or from another source.
A sixth operational question is equally important: Does the method used to obtain the information comply with the rules governing access to the source platform?
Privacy Law and LinkedIn's Rules Are Separate Questions
Privacy law asks whether and under what conditions an organization may process personal information. LinkedIn's agreements and developer rules govern how users, developers, and other parties may access or use LinkedIn services and data.
Those analyses should not be collapsed into a single statement such as “scraping is legal” or “scraping is illegal.” An organization's obligations can involve privacy legislation, contractual terms, technical-access restrictions, intellectual-property considerations, and other laws depending on the facts and jurisdiction.
For that reason, an event organizer evaluating automated enrichment should review LinkedIn's current User Agreement and any applicable developer or API terms before implementation. Platform terms can change, so the version in force when the workflow is deployed matters.
The same principle applies when an enrichment vendor handles collection. A vendor saying that its data is “public” does not answer every question the organizer needs to ask. Data provenance, permitted access, transparency, retention, and the organizer's own purpose for processing still require scrutiny.
The next layer of the analysis is therefore not whether LinkedIn profiles are public, but which legal basis and transparency requirements apply when attendee information is enriched under GDPR, UK GDPR, and other privacy regimes.
How GDPR and UK GDPR Affect LinkedIn Attendee Enrichment
Where GDPR or UK GDPR applies, enriching an attendee record with LinkedIn-derived information is still a form of personal-data processing when the information relates to an identified or identifiable person. The fact that a job title, employer, or professional biography is publicly visible does not remove the need to assess lawfulness, transparency, necessity, and proportionality.
For event organizers, the practical question is not simply whether professional information can be found online. It is whether the organizer has a valid reason to process that information for the stated event purpose and whether attendees have been given the information and rights required by applicable law.
Is Consent Required for Event Enrichment?
Consent can be a lawful basis under GDPR, but it is not the only lawful basis available under Article 6. Depending on the specific workflow, another basis may be relevant. Organizers should avoid assuming either that consent is always mandatory or that it can always be avoided.
Where consent is relied upon, it must satisfy the applicable GDPR standard. In broad terms, consent should be freely given, specific, informed, and unambiguous, and individuals must be able to withdraw it. A vague checkbox covering unrelated marketing, networking, enrichment, and third-party data collection is unlikely to provide the clarity organizers should aim for.
The key is purpose specificity. Asking an attendee to provide professional information so relevant people can be recommended during an event is different from collecting the same information for later advertising, lead resale, or unrelated sales prospecting.
Can Legitimate Interests Apply?
Legitimate interests may sometimes provide a lawful basis for processing under GDPR Article 6(1)(f), but it is not an automatic permission to enrich attendee profiles. Organizations relying on this basis should assess whether they have a legitimate purpose, whether the processing is actually necessary for that purpose, and whether the individual's interests, rights, and freedoms outweigh the organization's interests.
A practical legitimate interests assessment normally considers three questions:
- Purpose: Is there a genuine and legitimate reason for the processing?
- Necessity: Can the same objective reasonably be achieved with less intrusive data use?
- Balancing: What impact could the processing have on attendees, and would they reasonably expect it?
For example, enriching a limited number of professional fields solely to facilitate networking may present a different balancing exercise from creating extensive hidden profiles that combine employment history, social signals, inferred interests, and contact information for later commercial targeting.
Would Attendees Reasonably Expect the Enrichment?
Reasonable expectations can be especially important when evaluating event data privacy. An attendee who signs up for a professional networking conference may reasonably expect some use of information for matchmaking or participant discovery, particularly if this is explained during registration.
The expectation becomes less clear when information is collected silently from an external platform, combined with unrelated datasets, or used after the event for purposes that were never clearly explained. Organizers should therefore ask not only “Can we obtain this data?” but also “Would a typical attendee understand why we are doing this?”
What If the Data Did Not Come Directly From the Attendee?
When personal data is obtained from another source rather than directly from the individual, GDPR transparency obligations can change. Article 14 addresses information that may need to be provided when personal data has not been obtained from the data subject.
Depending on the circumstances, this can include information about the categories of data involved, the purposes of processing, the applicable legal basis, data recipients, retention, individual rights, and the source from which the information originated. Exceptions exist, but they should not be assumed without a fact-specific assessment.
This is one reason bulk enrichment can create operational complexity. The compliance question is not finished when data is successfully matched to an attendee record; organizers may also need processes for informing individuals and responding to objections, correction requests, deletion requests, or other applicable rights.
Data Minimization and Purpose Limitation
Two GDPR principles are particularly relevant to LinkedIn data enrichment: purpose limitation and data minimization. Under Article 5, personal data should be collected for specified purposes and should be adequate, relevant, and limited to what is necessary in relation to those purposes.
Consider two approaches:
Broad enrichment: an organizer imports every professional attribute a provider can return because some fields might become useful later.
Purpose-led enrichment: an organizer identifies the minimum information genuinely needed for a clearly explained networking function and avoids unrelated fields.
The second design is generally easier to justify because the data collection follows the purpose rather than allowing the availability of data to define the purpose.
What About LinkedIn Enrichment Under CCPA and CPRA?
California's privacy framework should not be treated as a US version of GDPR. The California Consumer Privacy Act, as amended by the California Privacy Rights Act, uses its own definitions, applicability thresholds, exemptions, consumer rights, and obligations.
An event organizer subject to the CCPA/CPRA should therefore assess its workflow under the specific California rules rather than importing a GDPR consent or legitimate-interests analysis. The California Privacy Protection Agency and the current statutory text should be used as primary references when implementing a California-facing data practice.
Publicly Available Information Can Require Careful Classification
CCPA/CPRA includes specific treatment and definitions concerning publicly available information. That does not support a blanket statement that any data visible on LinkedIn is automatically outside the law.
The classification can depend on what information is involved, where it came from, and how it is used. Organizers should verify the current statutory definitions and regulations before deciding that professional-profile information falls within a particular exception.
The safer editorial and operational rule is simple: do not use “it was public” as the entire compliance analysis.
Notice, Consumer Rights, and Data Sharing Practices Matter
If CCPA/CPRA applies, organizers may need to consider obligations involving privacy disclosures, consumer requests, correction and deletion rights, and the way personal information is disclosed to vendors or other parties. Sale and sharing concepts can also become relevant depending on the commercial arrangement and use of the data.
A vendor relationship deserves scrutiny as well. Organizers should know which party determines the purpose of processing, what contractual restrictions apply, whether information is retained for independent purposes, and how applicable consumer requests will be handled.
Does LinkedIn Allow Automated Profile Enrichment?
The legality of processing personal data and the permission to access LinkedIn through a particular technical method are separate issues. An event organizer could have a plausible privacy-law basis for processing certain professional information and still need to determine whether the chosen collection method is permitted under LinkedIn's current terms.
LinkedIn's User Agreement, developer documentation, API requirements, and other applicable policies should therefore be reviewed before deploying automated collection. These rules can change, so decisions should be based on the version in force at implementation rather than assumptions from an older article or vendor sales page.
Scraping Is Not Synonymous With Enrichment
Scraping generally refers to automated extraction from webpages or interfaces. Enrichment refers to adding information to an existing record. An enrichment service might rely on scraping, licensed datasets, direct contributions, authorized integrations, or a combination of sources.
That distinction matters because two products offering the same output field may have very different data provenance. Organizers evaluating a provider should ask how the information was obtained rather than focusing only on what information is delivered.
Check LinkedIn's Current User Agreement and API Rules
Before implementing automated access, confirm the current rules that apply to the intended method. Relevant documents may include LinkedIn's User Agreement, developer terms, API documentation, and any policies governing automated access or permitted data use.
The goal is not merely to obtain a vendor assurance that “the data is public.” The organizer should understand whether the provider's acquisition method is authorized, what contractual assurances exist, and whether the downstream event use is compatible with those terms.
An Enrichment Vendor Does Not Automatically Transfer the Compliance Decision
Using a third-party enrichment service can simplify technical implementation, but it does not automatically eliminate the organizer's responsibility to assess the workflow.
Useful vendor due-diligence questions include:
- Where does each data category originate?
- Is access authorized or licensed?
- How is data accuracy maintained?
- How long is information retained?
- How are deletion or correction requests handled?
- Does the provider reuse attendee information for its own purposes?
- What roles do the organizer and vendor play under applicable privacy law?
- What happens when the underlying source changes or removes information?
LinkedIn Enrichment Risk by Event Use Case
The same technology can create very different privacy profiles depending on how it is used. The following table is a practical risk signal, not a legal determination.
| Event use case | Typical data source | Privacy concern | Platform concern | Relative risk signal | Safer design |
|---|---|---|---|---|---|
| Attendee voluntarily adds a LinkedIn URL | Attendee | Purpose and downstream use should still be explained | Limited if no automated extraction follows | Lower | Clear purpose and attendee choice |
| Organizer manually reviews a public profile | Public profile | Recording and reuse still matter | Review applicable terms | Contextual | Keep only necessary information |
| Automated bulk attendee enrichment | Third party or automation | Scale, transparency, necessity and profiling | Automated-access restrictions may apply | Higher | Verify provenance and authorization |
| Hidden enriched attendee directory | External sources | Expectations, visibility and transparency | Depends on collection source | Higher | Permission-based networking visibility |
| Networking recommendations based on attendee-provided goals | First-party attendee data | Purpose, controls and lawful processing still matter | No LinkedIn extraction required | Lower-surprise design | Use clear privacy settings and limited data |
A Practical Compliance Checklist for Event Organizers
Before implementing LinkedIn attendee enrichment, document the workflow rather than treating enrichment as a single technical feature. The goal is to understand exactly what information enters your systems, why it is needed, how attendees experience the processing, and which third parties are involved.
A practical pre-launch checklist includes:
- Identify the exact personal data being collected or inferred.
- Record the source of every enriched data field.
- Determine which jurisdictions and privacy laws apply.
- Define the specific event or networking purpose for the processing.
- Establish and document the relevant lawful basis where one is required.
- Consider whether attendees would reasonably expect the processing.
- Provide required privacy information at the appropriate time.
- Limit collection to information genuinely necessary for the stated purpose.
- Verify an enrichment provider's data provenance and authorization.
- Review LinkedIn's current terms for the intended access method.
- Establish retention and deletion periods.
- Support applicable access, correction, objection, deletion, and opt-out rights.
- Assess whether profiling or large-scale processing requires additional review.
- Complete an LIA, DPIA, vendor assessment, or similar documentation where appropriate.
- Obtain qualified legal advice for high-risk or multi-jurisdictional implementations.
A checklist cannot determine whether a particular workflow is lawful, but it can reveal weaknesses before thousands of attendee records are processed. It is especially useful during vendor procurement, because organizers can compare providers on provenance, transparency, retention, and rights handling rather than enrichment coverage alone.
A Privacy-First Alternative: Build Networking From Attendee Intent
Event organizers often consider enrichment because basic registration fields do not explain who an attendee should meet. But collecting more third-party information is not the only way to create richer networking context. An alternative is to ask participants directly what they are working on, what they need, whom they want to meet, and how they can help others.
MeetWho is designed around that model. Attendees create professional profiles and provide current networking context, while organizer settings and attendee permission determine networking availability. MeetWho analyzes this information together with event goals and shared interests to recommend relevant opted-in participants rather than exposing a universal public attendee list.
Recommendations can explain why two people may benefit from meeting, how they could help each other, and how a conversation might begin. Attendees can send connection requests and, after a mutual connection, message each other, maintain private notes, create follow-up reminders, and manage their connection history.
This does not remove privacy obligations. First-party data still needs appropriate handling. However, privacy-first event networking can make the purpose of data collection more understandable: information is supplied in the context of helping the attendee make relevant connections.
Why First-Party Attendee Intent Can Produce Better Networking Context
A public professional profile can describe someone's history, title, employer, or career path. Those signals may be useful, but they do not necessarily reveal what that person wants from a particular conference today.
Consider an attendee who says, “I'm raising a seed round and want to meet B2B SaaS investors,” or, “I can help founders entering the German market.” That explicit intent can be more actionable for matchmaking than simply knowing their job title.
This is the distinction behind MeetWho's “Know who to meet” approach. The objective is not to maximize the number of profiles an organizer can expose or enrich. It is to help people identify a smaller number of relevant, mutually valuable conversations.
What Organizers Can Control With MeetWho
MeetWho combines networking with event operations in the same platform. Organizers can create an event page for free, collect registrations, approve applications, manage waiting lists, send announcements and reminders, use QR check-in, and determine networking privacy settings.
For online events, event links can be limited to registered participants. MeetWho's product model also does not make paid membership a route to hidden profiles or private contact information, and attendee lists are not sold. These controls support a design in which networking access follows organizer settings and participant choices rather than unrestricted directory exposure.
LinkedIn Enrichment vs Permission-Based Event Networking
The approaches solve overlapping but different problems. External enrichment attempts to add context from existing sources, while permission-based networking asks participants for context that is specific to the event.
| Question | LinkedIn-based enrichment | Permission-based networking profile |
|---|---|---|
| Data origin | External, public or third-party source | Attendee-submitted |
| Attendee awareness | Varies by implementation | Typically more explicit |
| Current networking intent | Often inferred | Explicitly stated |
| Data provenance complexity | Can be substantial | Usually more direct |
| Platform dependency | May depend on LinkedIn access method | No LinkedIn extraction required |
| Personalization input | Available professional attributes | Goals, needs, interests and offers |
| Privacy experience | Depends heavily on implementation | Can be designed around attendee controls |
Neither model is automatically compliant simply because of its data source. The important design question is whether the amount and type of information being processed are proportionate to what the event actually needs.
For networking in particular, organizers should ask whether enriching more fields genuinely improves introductions. If the real objective is to understand who should meet whom, directly stated attendee intent may sometimes provide more relevant information with less dependence on external profile collection.
Frequently Asked Questions About LinkedIn Enrichment for Events
Is It Legal to Use Public LinkedIn Data for Event Attendees?
It can be lawful in some circumstances, but public visibility alone does not decide the question. Organizers should consider applicable privacy legislation, the purpose of processing, lawful basis where required, transparency obligations, data minimization, individual rights, and how the information was obtained. LinkedIn's applicable platform terms should be assessed separately.
Do I Need Attendee Consent to Enrich a LinkedIn Profile?
Not universally. Under GDPR, consent is one possible lawful basis, but it is not the only basis listed in Article 6. Legitimate interests may be relevant to some processing activities if the necessary purpose, necessity, and balancing assessment genuinely supports them. Other jurisdictions use different legal frameworks, so a GDPR analysis should not simply be transferred to every attendee.
Is LinkedIn Scraping Illegal?
There is no responsible universal yes-or-no answer. Scraping can raise separate issues involving privacy and data protection law, contractual or platform restrictions, technical access, and other jurisdiction-specific rules. The legality of processing information and authorization to collect it through a particular method should be analyzed separately.
Is Publicly Available LinkedIn Information Personal Data Under GDPR?
It can be. GDPR Article 4 defines personal data based on whether information relates to an identified or identifiable natural person, not simply whether the information is private. A publicly visible name, job title, employment history, or other professional information can therefore remain personal data when it relates to an identifiable individual.
Can Legitimate Interests Justify LinkedIn Enrichment?
Potentially, where GDPR applies, but legitimate interests is not a blanket authorization for enrichment. The organization should identify a legitimate purpose, demonstrate that the processing is necessary, and balance its interests against the individual's rights, interests, expectations, and potential impact. Documenting that assessment can be important.
Can an Event Organizer Automatically Match Registrations to LinkedIn Profiles?
Technically possible does not mean automatically permissible. Automated matching can introduce questions about source accuracy, transparency, lawful basis, profiling, data minimization, platform-access rules, and mistaken identity. Organizers should evaluate the entire workflow before matching attendee identities to external profiles at scale.
Is Attendee-Submitted Professional Data Safer Than Scraped Data?
It is often easier to make attendee-submitted data transparent and consistent with participant expectations because the individual supplies the information directly for a stated purpose. That does not make the processing automatically lawful or risk-free. Organizers still need appropriate privacy controls, a defined purpose, data minimization, security, and applicable rights processes.
Does MeetWho Sell Attendee Lists or Reveal Private Contact Information?
No. MeetWho's model does not sell attendee lists, and a paid membership does not provide access to hidden profiles or private contact information. Organizer privacy settings and attendee permission remain central to networking visibility, while recommendations are made among participants available for networking.
Final Takeaway: Enrich Less, Explain More, and Respect Attendee Intent
So, is LinkedIn enrichment legal for events? Sometimes it may be, but the answer depends on much more than whether a LinkedIn profile can be viewed publicly. Data source, collection method, jurisdiction, purpose, lawful basis, transparency, necessity, attendee expectations, individual rights, retention, vendor practices, and LinkedIn's applicable rules can all affect the analysis.
For event networking, there is also a product-design question worth asking before pursuing external enrichment: do you actually need more third-party data, or do you need better information about what attendees want right now?
MeetWho takes the latter approach. Participants can describe what they are working on, what they are looking for, who they want to meet, and how they can help, allowing relevant connections to be recommended without turning the event into an unrestricted attendee directory.
Know who to meet—not everyone you could enrich. Create an event for free with MeetWho and build networking around attendee goals, shared interests, and meaningful connections.
Sources and Further Reading
For implementation or legal review, verify the latest versions of the relevant primary sources before relying on them:
- EUR-Lex — General Data Protection Regulation (EU) 2016/679
- European Data Protection Board
- UK Information Commissioner's Office
- California Privacy Protection Agency
- LinkedIn User Agreement
- LinkedIn Developer Documentation
This article provides general information about privacy and event-data practices and is not legal advice. Requirements vary by jurisdiction and by the facts of a particular processing activity.
