# Automated LinkedIn profile discovery + ranking (recruiter tool) (`ayk_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool`) Actor

This Apify actor discovers and analyzes public LinkedIn profiles using multiple search engines with advanced filtering, automated fallback strategies, and intelligent candidate ranking based on provided skills and Location.

- **URL**: https://apify.com/ayk\_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool.md
- **Developed by:** [YKA](https://apify.com/ayk_6789) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 28 total users, 11 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1,000.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

<h1>LinkedIn Profile Search &amp; Ranking Engine</h1>
<p>Find the best-matched LinkedIn profiles based on your target skills and location — returns ranked profile URLs ready for manual review or further processing.</p>

<blockquote>
  <strong>⚠️ What This Actor Does:</strong><br>
  This actor finds and ranks the <strong>best-matching LinkedIn profile URLs</strong> based on the skills and location you provide. It does <strong>not</strong> scrape full profile details. All further information — experience, education, contact info — must be reviewed manually by visiting each profile URL.
</blockquote>

<h2>How It Works</h2>
<ol>
  <li>You provide a job title, location, and list of skills</li>
  <li>The actor searches across multiple engines for matching LinkedIn profiles</li>
  <li>Profiles are scored and ranked by how well they match your skills</li>
  <li>You receive a ranked list of LinkedIn profile URLs with basic metadata</li>
  <li>Visit each URL manually to review full profile details</li>
</ol>

<h2>Who It's For</h2>
<ul>
  <li>Recruiters and talent sourcers building candidate shortlists</li>
  <li>Sales teams finding leads by role and location</li>
  <li>Market researchers mapping talent in a region</li>
  <li>Automation pipelines that need a profile discovery step</li>
</ul>

<h2>Features</h2>
<ul>
  <li>Skill-based profile matching and relevance ranking</li>
  <li>Location-targeted search</li>
  <li>Multi-engine discovery (DuckDuckGo, Bing, Mojeek, Brave)</li>
  <li>Auto-fallback and query widening when results are limited</li>
  <li>Must-have skills filtering — exclude profiles missing critical skills</li>
  <li>Nice-to-have skills boosting — surface stronger matches first</li>
  <li>CSV and Apify dataset export</li>
  <li>No login, no cookies, no LinkedIn API required</li>
</ul>

<h2>Input</h2>
<table>
  <thead>
    <tr><th>Field</th><th>Type</th><th>Required</th><th>Default</th><th>Description</th></tr>
  </thead>
  <tbody>
    <tr><td><code>baseTitle</code></td><td>string</td><td>✅ Yes</td><td><code>"Data Scientist"</code></td><td>Job title or role to search for</td></tr>
    <tr><td><code>location</code></td><td>string</td><td>✅ Yes</td><td><code>"Pune"</code></td><td>City or country to target</td></tr>
    <tr><td><code>skills</code></td><td>array</td><td>No</td><td><code>["Python","SQL","ML"]</code></td><td>Skills used for matching and ranking</td></tr>
    <tr><td><code>maxProfiles</code></td><td>integer</td><td>No</td><td><code>10</code></td><td>Max profiles to return (1–500)</td></tr>
  </tbody>
</table>

<h2>Output</h2>
<p>Returns a ranked list of the best-matching LinkedIn profile URLs with basic metadata. <strong>Full profile details are not included</strong> — visit each URL to review manually.</p>
<pre><code>{
  "firstName": "Priya",
  "headline": "Senior Data Scientist | Python · ML · NLP",
  "skills": ["Python", "Machine Learning", "SQL"],
  "profileUrl": "https://www.linkedin.com/in/priya-example"
}</code></pre>

<h2>What's Included vs. What Requires Manual Review</h2>
<table>
  <thead>
    <tr><th>✅ Actor Provides</th><th>🔍 Visit Profile Manually</th></tr>
  </thead>
  <tbody>
    <tr><td>Ranked LinkedIn profile URL</td><td>Work experience &amp; history</td></tr>
    <tr><td>First name</td><td>Education details</td></tr>
    <tr><td>Professional headline</td><td>Contact information</td></tr>
    <tr><td>Matched skills list</td><td>Certifications &amp; endorsements</td></tr>
    <tr><td>Relevance ranking score</td><td>Connections &amp; recommendations</td></tr>
  </tbody>
</table>

<h2>Run Settings</h2>
<table>
  <thead><tr><th>Setting</th><th>Value</th></tr></thead>
  <tbody>
    <tr><td>Default timeout</td><td>600 seconds</td></tr>
    <tr><td>Default memory</td><td>1024 MB</td></tr>
    <tr><td>Proxy</td><td>Residential</td></tr>
  </tbody>
</table>

<h2>Limitations</h2>
<ul>
  <li>Returns profile URLs and basic metadata only — not full profile content</li>
  <li>Operates entirely on publicly accessible search data</li>
  <li>Does not use LinkedIn's API or bypass any authentication</li>
  <li>Some profiles may return fewer fields if public visibility is restricted</li>
  <li>Match quality depends on what search engines have indexed</li>
</ul>

# Actor input Schema

## `baseTitle` (type: `string`):

Main job title or role to search for, e.g. "Data Scientist", "Backend Developer", "Business Analyst".
## `skills` (type: `array`):

List of skills to guide the search, e.g. Python, SQL, Machine Learning.
## `location` (type: `string`):

Base location to search around. Example: "Pune", "Bangalore", "New York".
## `maxProfiles` (type: `integer`):

Maximum number of LinkedIn profiles to scrape. Default is 100. Set to 10 for quick test runs.

## Actor input object example

```json
{
  "baseTitle": "Data Scientist",
  "skills": [
    "Python",
    "SQL",
    "Machine Learning"
  ],
  "location": "Austin",
  "maxProfiles": 10
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("ayk_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("ayk_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call ayk_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ayk_6789/automated-linkedin-profile-discovery-ranking-recruiter-tool",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Automated LinkedIn profile discovery + ranking (recruiter tool)",
        "description": "This Apify actor discovers and analyzes public LinkedIn profiles using multiple search engines with advanced filtering, automated fallback strategies, and intelligent candidate ranking based on provided skills and Location.",
        "version": "0.0",
        "x-build-id": "nEnSayOsmuMtCee7l"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ayk_6789~automated-linkedin-profile-discovery-ranking-recruiter-tool/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ayk_6789-automated-linkedin-profile-discovery-ranking-recruiter-tool",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ayk_6789~automated-linkedin-profile-discovery-ranking-recruiter-tool/runs": {
            "post": {
                "operationId": "runs-sync-ayk_6789-automated-linkedin-profile-discovery-ranking-recruiter-tool",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ayk_6789~automated-linkedin-profile-discovery-ranking-recruiter-tool/run-sync": {
            "post": {
                "operationId": "run-sync-ayk_6789-automated-linkedin-profile-discovery-ranking-recruiter-tool",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "baseTitle",
                    "location"
                ],
                "properties": {
                    "baseTitle": {
                        "title": "Job Title / Role",
                        "type": "string",
                        "description": "Main job title or role to search for, e.g. \"Data Scientist\", \"Backend Developer\", \"Business Analyst\".",
                        "default": "Data Scientist"
                    },
                    "skills": {
                        "title": "Skills",
                        "type": "array",
                        "description": "List of skills to guide the search, e.g. Python, SQL, Machine Learning.",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "Python",
                            "SQL",
                            "Machine Learning"
                        ]
                    },
                    "location": {
                        "title": "Location (City or Country)",
                        "type": "string",
                        "description": "Base location to search around. Example: \"Pune\", \"Bangalore\", \"New York\".",
                        "default": "Austin"
                    },
                    "maxProfiles": {
                        "title": "Max Profiles to Scrape",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum number of LinkedIn profiles to scrape. Default is 100. Set to 10 for quick test runs.",
                        "default": 10
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```