# 🚀LinkedIn Profile Enricher + Personalized AI Message Sequence (`pryzmlabs/linkedin-profile-enricher`) Actor

Paste your LinkedIn profile URLs, pick your outreach goal, and drop in your website URL - we analyze your site to understand your business and offer, then return a fully enriched profile and a personalized 4-message outreach sequence for every lead, written from your voice.

- **URL**: https://apify.com/pryzmlabs/linkedin-profile-enricher.md
- **Developed by:** [Pryzm Labs](https://apify.com/pryzmlabs) (community)
- **Categories:** AI, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 1,000 profile enriched + 4 message  sequences

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

## LinkedIn Profile Enricher + AI Outreach Sequence

Paste your LinkedIn profile URLs, pick your outreach goal, and drop in your website URL — we analyze your site to understand your business and offer, then return a fully enriched profile and a personalized 4-message outreach sequence for every lead, written from your voice.

---

### Overview

Drop in a list of LinkedIn profile URLs and walk away. This actor enriches every profile with full structured data from LinkedIn, then uses AI to write a personalized outreach sequence for each lead — a connection request and 3 follow-up messages — tailored to their actual background, experience, and activity.

**Key highlights:**

- No LinkedIn account or cookies required
- Analyzes your website automatically — no manual setup
- Processes multiple profiles in parallel
- Returns clean, flat output — ready to export as CSV or JSON
- Outreach is written from your voice, not from a template
- Only charged for successfully enriched profiles — skipped or failed profiles are free

---

### Quick Start

1. Paste your LinkedIn profile URLs
2. Drop in your website URL (we'll handle the rest)
3. Pick your outreach goal
4. Run — get back enriched profiles + a full message sequence for every lead

---

### Input

| Field | Required | Description |
|---|---|---|
| `linkedinUrls` | Yes | LinkedIn profile URLs to enrich |
| `websiteUrl` | No | Your website — we scrape it to understand your business and offer |
| `noWebsite` | No | Check this if you don't have a website — reveals manual fields |
| `yourName` | No | Your name or business name (if no website) |
| `yourBusiness` | No | One sentence on what your business does (if no website) |
| `yourOffer` | No | One sentence on what you're offering these leads (if no website) |
| `outreachGoal` | No | What you want the lead to do. Leave blank to skip outreach and return enriched data only |

**Input example:**
```json
{
  "linkedinUrls": [
    "https://www.linkedin.com/in/jane-smith-cmo/",
    "https://www.linkedin.com/in/john-doe-vp-sales/"
  ],
  "websiteUrl": "https://yourcompany.com",
  "outreachGoal": "book_a_call"
}
````

**Outreach goals:**

- `book_a_call` — CTA drives toward scheduling time
- `visit_website` — drives to your site or landing page
- `schedule_demo` — product demo focused
- `download_resource` — lead magnet or free resource

***

### Output

Each profile returns a flat row — clean columns, no nested objects exploding into hundreds of CSV columns.

**Example output:**

```json
{
  "input_url": "https://www.linkedin.com/in/jane-smith-cmo/",
  "name": "Jane Smith",
  "position": "Chief Marketing Officer",
  "city": "San Francisco",
  "country_code": "US",
  "company": "Acme Corp",
  "company_title": "Chief Marketing Officer",
  "company_location": "San Francisco, CA",
  "company_link": "https://www.linkedin.com/company/acme-corp/",
  "followers": 4821,
  "connections": "500+",
  "url": "https://www.linkedin.com/in/jane-smith-cmo/",
  "about": "Marketing leader with 15 years driving growth at B2B SaaS companies...",
  "outreachStrategy": "Referenced her recent post on pipeline attribution and tied it to our automation offering",
  "connectionRequest": "Your take on pipeline attribution resonated — we're building tools that automate exactly that layer. Would love to connect.",
  "followUp1": "Hey Jane — glad we're connected. Curious if the attribution problem you mentioned is still the biggest bottleneck for your team right now?",
  "followUp2": "Wanted to share something relevant — we put together a breakdown of how 3 CMOs solved the attribution gap without adding headcount. Happy to send it over if useful.",
  "followUp3": "Last note from me — if the timing isn't right, totally understand. But if you ever want to see how this looks for a team like yours, 20 minutes is all it takes.",
  "experience": "[{\"title\":\"Chief Marketing Officer\",\"company\":\"Acme Corp\",...}]",
  "education": "[{\"title\":\"Stanford University\",\"degree\":\"MBA\",...}]",
  "activity": "[{\"title\":\"Why pipeline attribution is broken...\",\"interaction\":\"Posted\"}]"
}
```

**Full output fields:**

| Column | Description |
|---|---|
| `input_url` | The LinkedIn URL you submitted |
| `name` | Full name |
| `position` | Current job title |
| `city` | City |
| `country_code` | Country code |
| `company` | Current company name |
| `company_title` | Title at current company |
| `company_location` | Company location |
| `company_link` | Company LinkedIn URL |
| `followers` | LinkedIn follower count |
| `connections` | Connection count |
| `about` | About section text |
| `url` | LinkedIn profile URL |
| `outreachStrategy` | One-sentence personalization angle used by the AI |
| `connectionRequest` | Personalized connection request (under 300 characters) |
| `followUp1` | Day 3 follow-up after connecting |
| `followUp2` | Day 7 follow-up with value |
| `followUp3` | Day 14 final follow-up |
| `experience` | Full experience history (JSON string) |
| `education` | Education history (JSON string) |
| `activity` | Recent LinkedIn activity (JSON string) |

**Error output** (for private or inaccessible profiles):

```json
{
  "input_url": "https://www.linkedin.com/in/private-profile/",
  "error": "Profile is hidden or private."
}
```

***

### Performance Tips

- **Batch your runs** — the more URLs per run, the more efficient (website is only scraped once per run)
- **Use valid URLs** — ensure URLs follow the format `https://www.linkedin.com/in/username/`
- **Private profiles** — hidden or private profiles will be skipped with an error logged; the run continues for all other URLs

***

### Error Handling

- Private or hidden profiles are skipped — logged as errors, run continues (YOU ARE NOT CHARGED FOR SKIPPED PROFILES)
- Individual profile failures don't stop the entire run
- Website scrape failures will throw before processing begins — double-check your URL if this happens

***

### Security & Privacy

- No LinkedIn account or authentication cookies required
- Your website is scraped once per run solely to extract your business context for outreach personalization
- No data is stored beyond Apify's standard dataset storage

# Actor input Schema

## `linkedinUrls` (type: `array`):

Paste your LinkedIn profile URLs — one per line, or add them one at a time.

## `websiteUrl` (type: `string`):

We'll analyze your site to understand your business and offer — no typing required. Leave blank if you don't have one.

## `noWebsite` (type: `boolean`):

Check this to manually enter your business details instead.

## `yourName` (type: `string`):

Your name or your business name.

## `yourBusiness` (type: `string`):

One sentence — what do you do?

## `yourOffer` (type: `string`):

One sentence — what are you selling or offering to these leads?

## `outreachGoal` (type: `string`):

Leave blank to skip outreach and return enriched profile data only.

## Actor input object example

```json
{
  "linkedinUrls": [
    "https://www.linkedin.com/in/jeffweiner08/",
    "https://www.linkedin.com/in/reidhoffman/",
    "https://www.linkedin.com/in/derek-kay-a5897348"
  ],
  "noWebsite": false
}
```

# 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 = {
    "linkedinUrls": [
        "https://www.linkedin.com/in/jeffweiner08/",
        "https://www.linkedin.com/in/reidhoffman/",
        "https://www.linkedin.com/in/derek-kay-a5897348"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pryzmlabs/linkedin-profile-enricher").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 = { "linkedinUrls": [
        "https://www.linkedin.com/in/jeffweiner08/",
        "https://www.linkedin.com/in/reidhoffman/",
        "https://www.linkedin.com/in/derek-kay-a5897348",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("pryzmlabs/linkedin-profile-enricher").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 '{
  "linkedinUrls": [
    "https://www.linkedin.com/in/jeffweiner08/",
    "https://www.linkedin.com/in/reidhoffman/",
    "https://www.linkedin.com/in/derek-kay-a5897348"
  ]
}' |
apify call pryzmlabs/linkedin-profile-enricher --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "🚀LinkedIn Profile Enricher + Personalized AI Message Sequence",
        "description": "Paste your LinkedIn profile URLs, pick your outreach goal, and drop in your website URL - we analyze your site to understand your business and offer, then return a fully enriched profile and a personalized 4-message outreach sequence for every lead, written from your voice.",
        "version": "0.2",
        "x-build-id": "xVaztmlFtPMf7GqXj"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/pryzmlabs~linkedin-profile-enricher/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-pryzmlabs-linkedin-profile-enricher",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/pryzmlabs~linkedin-profile-enricher/runs": {
            "post": {
                "operationId": "runs-sync-pryzmlabs-linkedin-profile-enricher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/pryzmlabs~linkedin-profile-enricher/run-sync": {
            "post": {
                "operationId": "run-sync-pryzmlabs-linkedin-profile-enricher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "linkedinUrls"
                ],
                "properties": {
                    "linkedinUrls": {
                        "title": "LinkedIn Profile URLs",
                        "type": "array",
                        "description": "Paste your LinkedIn profile URLs — one per line, or add them one at a time.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "websiteUrl": {
                        "title": "Your Website URL",
                        "type": "string",
                        "description": "We'll analyze your site to understand your business and offer — no typing required. Leave blank if you don't have one."
                    },
                    "noWebsite": {
                        "title": "I don't have a website",
                        "type": "boolean",
                        "description": "Check this to manually enter your business details instead.",
                        "default": false
                    },
                    "yourName": {
                        "title": "Your Name",
                        "type": "string",
                        "description": "Your name or your business name."
                    },
                    "yourBusiness": {
                        "title": "What Your Business Does",
                        "type": "string",
                        "description": "One sentence — what do you do?"
                    },
                    "yourOffer": {
                        "title": "What You're Offering",
                        "type": "string",
                        "description": "One sentence — what are you selling or offering to these leads?"
                    },
                    "outreachGoal": {
                        "title": "What do you want your lead to do?",
                        "enum": [
                            "book_a_call",
                            "visit_website",
                            "schedule_demo",
                            "download_resource"
                        ],
                        "type": "string",
                        "description": "Leave blank to skip outreach and return enriched profile data only."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```