Pricing

from $20.00 / 1,000 verified lead founds

Linkedin Lead PPE Pro

LinkedIn scraping is usually a gamble. You pay for compute while scrapers struggle with login walls. This Actor uses a strict Pay-Per-Event model: you only pay when a verified email actually lands in your dataset. Optimized for AI agents with a <5s handshake.

Pricing

from $20.00 / 1,000 verified lead founds

Rating

0.0

(0)

Developer

AutomateLab

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Automation

Lead generation

You can access the Linkedin Lead PPE Pro 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "type": "array",
            "description": "LinkedIn search terms (e.g., 'Software Engineer at Google').",
            "items": {
              "type": "string"
            }
          },
          "checkOnly": {
            "title": "Check Only (5-Second Handshake)",
            "type": "boolean",
            "description": "If true, the Actor will verify proxies and estimate cost in < 5 seconds. Use this for AI Agent smoke tests (FREE compute).",
            "default": false
          },
          "maxResults": {
            "title": "Maximum Results",
            "type": "integer",
            "description": "Maximum number of verified leads to extract.",
            "default": 10
          },
          "proxyConfig": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Residential proxies are HIGHLY recommended for LinkedIn."
          }
        }
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              "userId": {
                "type": "string"
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                "type": "string",
                "format": "date-time",
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              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
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Linkedin Lead PPE Pro 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 Lead PPE Pro 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 Lead PPE Pro API in Python

Linkedin Lead PPE Pro API in JavaScript

Linkedin Lead PPE Pro API through CLI

Linkedin Lead PPE Pro API

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Reddit Scraper - MCP, AI, PPR

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