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Using Coresignal data can be lawful, but it is not automatically compliant simply because the information was public or Coresignal collected it. Your organization must document its own purpose, lawful basis, transparency, data minimization, security, retention, rights handling, and contract and transfer controls before using the data.
Coresignal says it collects publicly available, business-related information and excludes private, sensitive, and login-protected material. Those practices may reduce risk, but they do not replace your obligations as the organization deciding why and how the data is processed.
What “legal” means when you use Coresignal data
There are two separate legal questions. First, was Coresignal allowed to collect and supply the records? Second, is your specific use lawful in the countries and context where you operate? A vendor’s collection method, a public webpage, or a contract allowing access does not answer the second question by itself.
For GDPR purposes, using a dataset that identifies or can identify a person is generally processing personal data. That can include a professional name, public profile URL, job title, work history, education, skills, country, interests, publications, organization memberships, summaries, or a publicly available business contact detail. Whether a record came from a public page does not remove the need for a lawful basis, fair and transparent processing, proportionate collection, security, retention limits, and a way to respond to individual rights.
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Legality is therefore conditional on your documented processing context. A recruiting use, a business-to-business sales list, fraud research, market analysis, and an automated ranking system can create different risks even when they use the same fields.
What Coresignal says it collects—and excludes
Coresignal states that it “only collect[s] publicly available data that companies and individuals disclose to the general public to facilitate their business and profession-related interests.” It also says it does not need to log in to scrape public data and does not scrape private data or information inside login-secured areas.
Its description of professional records includes public-profile information and URL, name, job title, industry, work experience, education, awards, certifications, organizations, publications, skills, country, interests, websites, summaries, and publicly available contact information. Coresignal says it excludes private individual data and sensitive categories such as social-security numbers, home addresses, telephone numbers, geolocation, biometric data, photos, and material non-public information from secured areas.
These stated boundaries matter for risk assessment, but they are not a blanket warranty for every record or every downstream use. You should test a sample of the actual feed, identify which fields you will import, and block fields that are unnecessary for your purpose. If a record contains information that conflicts with the stated scope, quarantine it and raise the issue through the vendor’s support or privacy channel.
Does public LinkedIn or web data automatically comply with GDPR?
No. Public accessibility affects how information was obtained; it does not decide whether your later processing is fair, necessary, or transparent. European data-protection authorities have jointly warned that contractual permission to scrape does not itself establish that processing the resulting personal data complies with applicable privacy law.
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For a public professional profile, you still need to determine why you are using it, whether the amount of data is proportionate, how people will be informed, how long you will keep it, and how they can exercise their rights. You also need controls for inaccurate, outdated, duplicated, or contextually misleading information. A person may have published a job title for networking without expecting it to be used for an automated eligibility score or a high-volume outreach campaign.
Do not describe a source as “public, therefore unrestricted.” Instead, record the source category, collection date if available, fields used, your purpose, and the safeguards that make the use reasonable.
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Yes. The lawful basis for your processing is your responsibility. Coresignal identifies legitimate interest for its own public-web-data processing, but that does not automatically establish legitimate interest for a customer’s separate purposes.
A defensible legitimate-interest assessment normally documents three questions:
- Purpose test: What concrete business objective requires the data? “General analytics” is too vague; specify, for example, identifying potential suppliers in a defined market.
- Necessity test: Why are these fields and this source needed? Explain why less data, an internal source, or a less intrusive method would not achieve the same result.
- Balancing test: Weigh your interest against people’s privacy expectations, likely impact, the sensitivity and scale of the data, and safeguards such as access limits, suppression, and short retention.
Record the assessment before launch and revisit it when the purpose, geography, data fields, source mix, or processing scale changes. If your use involves decisions about people, targeted profiling, or extensive monitoring, obtain a specialized legal review and assess whether a formal impact assessment is required.
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Other lawful bases may be relevant in a specific situation, but consent, contract necessity, legal obligation, and legitimate interest have different conditions. Do not select a basis merely because it is convenient or because the vendor selected it for its own operations.
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People may not know that a vendor assembled their public information into a commercial dataset. Your privacy notice should explain that you obtain professional information from public sources and data providers, the purposes for which you use it, the categories of data, recipients or recipient categories, retention logic, rights, and how to contact you.
Plan when and how the notice is delivered. For direct outreach, include an accessible privacy explanation rather than relying on a hidden general policy. For recruiting or evaluation, provide the information before the data materially affects a person. If an exemption from providing information directly is considered, document the precise legal conditions and why they apply; do not assume that public availability creates an exemption.
Keep provenance records that let you explain where a field came from and when it was last refreshed. If Coresignal cannot provide a source date for a field, treat that limitation as a data-quality risk and use a shorter internal validity period.
Data minimization, accuracy, and profiling controls
Collect only fields tied to the purpose
Map every imported field to a documented use. A B2B account list may need a person’s name, role, organization, and public business contact channel, but not interests, education, or awards. Disable enrichment that does not support the stated objective, and prevent unrestricted exports.
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Keep records accurate and contestable
Professional information changes frequently. Set a verification or refresh interval, mark uncertain values, and provide a correction route. Do not merge records solely on a name; use reliable identifiers and a manual review for ambiguous matches. When a person disputes a record, flag it while you investigate rather than continuing to use it in a consequential workflow.
Separate analytics from decisions about people
Aggregated market analysis may present less risk than a system that ranks, excludes, or targets individuals. If the data feeds lead scoring, hiring, access decisions, pricing, or eligibility, document the logic, human oversight, error handling, and appeal path. Explain to affected people when profiling is involved and ensure that staff do not treat a vendor-derived score as verified fact.
Security and access requirements
Protect the feed and every derivative copy, not only the vendor connection. Use role-based access, strong authentication, encryption in transit and at rest, logging, export controls, and a tested incident-response process. Restrict downloads to approved users, separate production data from development environments, and remove local copies that are no longer needed.
Document which teams, contractors, subprocessors, and applications can access the records. Review whether support personnel or analytics tools receive the full dataset when a smaller subset would suffice. Security measures should match the volume, sensitivity, and consequences of misuse, including the risk that public fragments become more intrusive when combined.
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Rights requests, opt-outs, and deletion
Coresignal says individuals can request access, rectification, erasure, or restriction and can opt out through its privacy channels. Your organization needs its own process for records stored in your CRM, data lake, exports, backups, and derived scores.
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- Find: Search by identifiers and known aliases across live systems, caches, enrichment tables, and downstream products.
- Verify: Confirm that the requester is the person concerned or an authorized representative, using proportionate identity checks.
- Assess: Determine which records are subject to the request, whether an exception applies, and whether a restriction should pause active use while you investigate.
- Propagate: Send corrections, suppression, or deletion instructions to processors, internal recipients, and systems that copied the data.
- Record: Keep an auditable decision, the actions taken, and the response date without retaining more personal information than necessary.
An opt-out from Coresignal does not automatically erase your independent copy. Your contract and operating procedures should define how vendor notices reach you and how you handle a request after data has been enriched or combined with your own records.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Retention: the five-year statement and your own schedule
Coresignal’s privacy policy states: “Your Data shall be kept for no longer than five (5) years from the latest collection from publicly available sources or the termination of your relationship with us.” The policy also allows longer retention where needed for legal obligations or claims.
That statement describes Coresignal’s retention, not an automatic permission to keep your copy for five years. Set a separate schedule based on your purpose. For example, delete an unresponsive prospect record after a defined outreach period, refresh a professional profile before relying on it again, and remove inactive exports on a shorter cycle. Apply legal holds only where justified, document them, and delete data when the hold ends.
Contract checks before you buy or deploy
Have privacy, security, procurement, and legal owners review the agreement and data-processing terms together. Check the following points in writing:
| Contract area | Questions to resolve |
|---|---|
| Controller and processor roles | Who decides the purposes and means of each processing activity? Are responsibilities different for Coresignal’s own dataset, your account, and any enrichment? |
| Permitted purposes | Which uses, geographies, industries, and decision contexts are allowed? Are resale, public posting, advertising, or high-impact decisions restricted? |
| Data description and provenance | Which fields and source categories are supplied? Are collection dates, source URLs, confidence indicators, and update behavior available? |
| Rights cooperation | How are access, correction, deletion, restriction, and opt-out requests routed, tracked, and completed within your deadlines? |
| Deletion and return | What happens to live data, backups, test copies, exports, and derived data when the subscription ends or you instruct deletion? |
| Security and incidents | Which technical and organizational measures apply? What notice, evidence, and cooperation are provided after a breach? |
| Subprocessors and audits | Are service providers listed or notified? Can you obtain audit reports or other evidence appropriate to your risk? |
| International transfers | Where are data and support functions located? Which transfer mechanism and supplementary safeguards apply to each destination? |
| Accuracy and correction | How do you report an incorrect field, and how quickly is a corrected value distributed to downstream copies? |
Coresignal says it uses contractual clauses with customers and service providers where required. Confirm that the clauses cover your actual locations, onward transfers, processing instructions, and deletion obligations rather than assuming a standard contract fits every deployment.
A practical pre-launch compliance checklist
- Define one or more specific purposes and identify the business owner for each.
- List every personal-data field you will ingest; remove fields that are not necessary.
- Complete and approve a lawful-basis assessment, including a legitimate-interest balancing record where applicable.
- Assess transparency timing, notice content, profiling effects, and any need for an impact assessment.
- Test sample records for private, sensitive, inaccurate, stale, or login-protected material.
- Configure role-based access, logging, encryption, export restrictions, and incident escalation.
- Set an internal retention and deletion schedule that is shorter or longer than the vendor’s only when your documented purpose justifies it.
- Build search, correction, suppression, restriction, and deletion workflows across primary and derived systems.
- Review controller/processor terms, subprocessors, international transfers, permitted uses, audit rights, and end-of-contract deletion.
- Train users not to treat public information or vendor scores as verified or consequence-free.
When the risk is especially high
Pause deployment and obtain specialist advice when the dataset will support employment decisions, credit or insurance judgments, access to essential services, extensive monitoring, sensitive inferences, or large-scale profiling. Combining many harmless-looking public fields can create a detailed profile that is more intrusive than any individual source. A public source also does not authorize publishing the assembled dataset, contacting people in ways they would not reasonably expect, or transferring it to unrestricted third parties.
How to reach a defensible decision
You can usually make a reasoned go/no-go decision by answering four questions in writing: What exact outcome requires the data? Which fields are necessary and how will accuracy be maintained? What lawful basis, notice, safeguards, retention period, and rights process apply? What contractual and transfer terms let you enforce those controls with the supplier and every downstream recipient?
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