Here are the best email → LinkedIn info enrichment APIs that work well in an n8n → OpenAI lead-scoring flow. I prioritized providers that (a) can return a LinkedIn URL/handle from an email, and (b) are practical to wire into n8n.
| Provider | Email → LinkedIn URL? | What you typically get | n8n fit | Why pick it |
| Clearbit | Yes — enrich from an email; 100+ B2B attributes incl. social URLs. (Clearbit) | Person (name, title, seniority, social), company firmographics. (Clearbit) | Native n8n node + credentials docs. (n8n Docs) | Easiest to ship in n8n; reliable coverage on work emails; ideal inputs for AI scoring. |
| Hunter (Lead Enrichment) | Yes — “turn an email or a LinkedIn handle into a complete profile.” (Hunter) | Person + company basics incl. social handles. (Hunter) | Native n8n node. (n8n Docs) | Fast, cost-effective, and simple JSON for quick pipelines. |
| People Data Labs (PDL) | Yes — person schema includes social/LinkedIn; enrich by email (bulk too). (People Data Labs) | Deep work history, skills, social URLs, firmographics. (People Data Labs) | HTTP Request node. (n8n Docs) | Richest schema for ML/AI scoring; great for batch enrichment before OpenAI. |
| Apollo.io (People Enrichment) | Yes — response includes linkedin_url. (Apollo Docs) | Sales-grade person/company data; bulk match endpoint. (Apollo Docs) | HTTP Request node. (n8n Docs) | Strong B2B coverage; excellent if you already use Apollo for GTM. |
| ZoomInfo (Enrich) | Yes — accepts email/hashed email; outputs include external/LI links via their data. (Microsoft Learn) | Enterprise contact + firmographics/technographics/intent. (Microsoft Learn) | HTTP Request node. (n8n Docs) | Best for enterprise scale, SLAs, and compliance posture. |
| Lix (Reverse Email Lookup) | Yes — purpose-built to return LinkedIn profile URL from email. (Lix) | LinkedIn profile URL + basic person/company info. (Lix) | HTTP Request node. (n8n Docs) | Cleanest tool when you mainly need the LI URL to feed downstream steps. |
| RocketReach | Yes — person lookup returns social links from email. (Pipedream) | Contact info (emails/phones), title, employer, social URLs. (Pipedream) | HTTP Request node. (n8n Docs) | Straightforward enrichment with broad inputs (email/LI/phone). |
| Dropcontact | Yes — includes LinkedIn fields; GDPR-first; native n8n node available. (Dropcontact, n8n Docs) | Data cleaning, role, company, phones, LinkedIn page/fields. (Dropcontact) | Native n8n node for enrich/fetch. (n8n Docs) | Best for EU/GDPR stance and CRM hygiene before AI scoring. |
| FullContact (Person API) | Yes — returns social profiles (incl. LinkedIn) from identifiers like email. (Postman) | Photos, social handles, org info (when available). (Postman) | HTTP Request node. (n8n Docs) | Mature identity graph; useful as a second-pass to lift match rates. |
ℹ️ Official LinkedIn API note: LinkedIn’s Profile/Handle APIs are restricted to approved partners; there isn’t a public “email → profile” endpoint. That’s why teams use third-party enrichment vendors for this step. Ensure your use complies with your privacy policy and applicable law. (Microsoft Learn)
Quick picks for your exact use case (email → LI → OpenAI lead scoring)
Fastest to ship in n8n: Clearbit or Hunter (native nodes; strong “email → LinkedIn” and clean schemas). (n8n Docs, Hunter)
Data-rich scoring / batch jobs: People Data Labs or Apollo (deep person schema + bulk endpoints). (People Data Labs, Apollo Docs)
Enterprise/compliance: ZoomInfo (hashed email support; big coverage). (Microsoft Learn)
Just need the LinkedIn URL: Lix Reverse Email Lookup (great as a fallback when others miss). (Lix)
EU/GDPR & cleanup: Dropcontact (plus a native n8n node). (n8n Docs)
Minimal n8n blueprint (ready to build)
Trigger (Webhook/Form) →
Enrich
Set (map
linkedin_url,job_title,seniority,company,company_size,industry,location).OpenAI node for scoring (pass a strict JSON schema). (n8n Docs)
Upsert (HubSpot/Sheets/DB).
(Optional) Slack/Email notify.
If you want, I can draft the exact n8n nodes + example OpenAI prompt you can paste in—just tell me which vendor(s) you want to start with and your monthly volume.
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