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LinkedIn Email Finder - Work Emails, No Login

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Generate likely work emails from LinkedIn URLs or name-and-domain contacts. Get ranked candidates, MX status, catch-all detection, and optional mailbox verification.

Pricing

from $1.60 / 1,000 results

Rating

0.0

(0)

Developer

Thirdwatch

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Social media

You can access the LinkedIn Email Finder - Work Emails, No Login programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "profiles": {
            "title": "LinkedIn Profile URLs",
            "type": "array",
            "description": "List of LinkedIn profile URLs (e.g. https://www.linkedin.com/in/username/). The actor fetches each profile to extract name and current company, then derives the most likely work email. Use this OR the 'contacts' field below.",
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          "contacts": {
            "title": "Direct Contacts (skip LinkedIn fetch)",
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            "description": "Pre-extracted contacts as objects with firstName, lastName, and either company or domain. These skip the LinkedIn profile fetch entirely (cheaper). With a company name but no domain, add companyLinkedinUrl or companyUrl when you have it: a name shared by several companies is returned unresolved rather than guessed. You may add linkedinUrl: it is only fetched when the name or the company/domain is missing. Example: [{\"firstName\":\"Jane\",\"lastName\":\"Doe\",\"domain\":\"stripe.com\"}].",
            "default": []
          },
          "domainOverride": {
            "title": "Domain Override",
            "type": "string",
            "description": "Force all lookups to use this domain (e.g. 'stripe.com'). Useful when LinkedIn shows a parent brand but you want subsidiary emails.",
            "default": ""
          },
          "verifyEmails": {
            "title": "Verify Emails (mailbox check)",
            "type": "boolean",
            "description": "Check candidate addresses at the mailbox level, most common pattern first, and stop at the first confirmed mailbox. Up to 6 candidates are checked per person; a catch-all domain stops after one check. Rows report verificationStatus verified, catch_all or unverified. Off by default: without it, the top-ranked pattern is returned unverified.",
            "default": false
          },
          "maxVerificationCredits": {
            "title": "Max Mailbox Checks per Run",
            "minimum": 0,
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            "default": 300
          },
          "maxResults": {
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          },
          "proxyConfiguration": {
            "title": "Connection settings",
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                }
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LinkedIn Email Finder - Work Emails, No Login OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for LinkedIn Email Finder - Work Emails, No Login from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LinkedIn Email Finder - Work Emails, No Login API in Python

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