Pricing

$14.99/month + usage

Linkedin Lead Scraper

The LinkedIn Lead Scraper helps you discover business prospects directly from LinkedIn. Capture profile names, job roles, company information, and locations quickly. Perfect for sales teams, recruiters, and marketers building qualified lead databases.

Pricing

$14.99/month + usage

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Lead generation

Jobs

Social media

You can access the Linkedin Lead Scraper 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

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "jIMy6q1Tg8LR21una"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scrapio~linkedin-lead-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scrapio-linkedin-lead-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scrapio~linkedin-lead-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scrapio-linkedin-lead-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scrapio~linkedin-lead-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scrapio-linkedin-lead-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "keywords"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords",
            "type": "array",
            "description": "List of keywords to search for on Linkedin (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Linkedin profiles/posts containing these keywords and extract email addresses.",
            "items": {
              "type": "string"
            }
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Linkedin"
            ],
            "type": "string",
            "description": "Select platform.",
            "default": "Linkedin"
          },
          "location": {
            "title": "Location Filter",
            "type": "string",
            "description": "Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.",
            "default": ""
          },
          "emailDomains": {
            "title": "Email Domains Filter",
            "type": "array",
            "description": "Optional: Filter results to only include emails from specific domains (e.g., ['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.",
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "Maximum Emails per Keyword",
            "minimum": 1,
            "maximum": 5000,
            "type": "integer",
            "description": "Maximum number of emails to collect per keyword (default: 20).",
            "default": 20
          },
          "engine": {
            "title": "Engine",
            "enum": [
              "legacy"
            ],
            "type": "string",
            "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "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": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Linkedin Lead Scraper 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 Scraper 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 Scraper API in Python

Linkedin Lead Scraper API in JavaScript

Linkedin Lead Scraper API through CLI

Linkedin Lead Scraper API

Linkedin Lead Extractor

allanjblythe/linkedin-lead-extractor

Extract qualified B2B leads, decision makers, and company intelligence from LinkedIn. Generate targeted prospect lists with contact information for sales teams, recruiters, and marketing agencies. Save 20+ hours weekly on manual prospecting.

Allen Blythe

125

1.0

(1)

Linkedin B2b Lead Scraper

scrapio/linkedin-b2b-lead-scraper

The LinkedIn B2B Lead Scraper helps you discover qualified business leads directly from LinkedIn profiles and searches. Capture professional names, job roles, company details, and locations quickly. Perfect for sales teams, recruiters, and B2B marketers.

Scrapio

Linkedin Leads Finder ($0.008 per Lead) - NO COOKIES

blitzapi/linkedin-leads-scraper

Powerful LinkedIn Leads Finder & Scraper API. Find and rank real decision-makers from any company (C-Level, VP, Director). Generate verified B2B leads in real time — perfect for prospecting, ABM, and sales automation.

BlitzAPI

184

5.0

(2)

Linkedin Profile Email Scraper By Keyword

scraper-mind/linkedin-profiles-email-scraper

Linkedin Profile Email Scraper: Extract targeted profiles with emails and scale Linkedin lead generation effortlessly. Perfect for marketers, recruiters, and sales teams seeking high-quality Linkedin B2B leads.

Scraper Mind

Linkedin Lead Generator

scraper-mind/mass-linkedin-leads-generator

[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] Boost your B2B outreach with this powerful LinkedIn Lead Generator 🔥. Instantly scrape targeted profiles, discover real emails, and build high-converting prospect lists in minutes. Perfect for agencies, marketers, and sales teams ready to scale 🚀.

Scraper Mind

Linkedin Phone Number Scraper

scraper-engine/linkedin-phone-number-scraper

LinkedIn Phone Number Scraper extracts publicly listed phone numbers from LinkedIn profiles and linked pages. Build targeted contact lists by role, industry, or company. Ideal for sales teams running outbound campaigns.

Scraper Engine

Linkedin Scraper Vp

patelvaibhav/linkedin-scraper-vp

Vaibhav Patel

Gemini Sales Ai

constant_xyloidin/gemini-sales-ai

Turn any URL into a B2B lead. Uses Gemini 2.0 AI to analyze websites, identify pain points, and generate personalized cold emails. Features stealth Playwright scraping and validated JSON output. Ideal for high-ticket sales outreach

jose mato

Google Serp Scraper Lead Finder

quaking_pail/google-serp-scraper-lead-finder

Extracting detailed Lead type records from Google Search Engine Results Pages (SERPs) specific to search. Ideal for digital marketers, SEO professionals, and market researchers. It will generate a list of leads you can enrich and use in marketing campaigns.

AI_Builder

LinkedIn Sales Navigator | Lead Search Scraper [NO COOKIE/URL]

riceman/linkedin-sales-navigator-lead-search-scraper

Scrape LinkedIn Sales Navigator lead search results—no LinkedIn session cookie or pre-built search URLs required. Just input your search parameters and get lead profiles from search results, all directly within this actor.