# LinkedIn Profile Enricher (`moltsets/linkedin-profile-enricher`) Actor

Turn LinkedIn profile URLs into full contact and company records: title, skills, job history, emails and firmographics. Bring your own MoltSets API key; you only pay MoltSets for matches.

- **URL**: https://apify.com/moltsets/linkedin-profile-enricher.md
- **Developed by:** [MoltSets](https://apify.com/moltsets) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## LinkedIn Profile Enricher: full profile and company data from LinkedIn URLs

Turn LinkedIn profile URLs into complete contact records. For each profile you get the person's title, seniority, headline, summary, skills and location, their business and personal emails with deliverability grades, and their employer's industry, NAICS and SIC codes, headcount and revenue, with optional full job history. The Actor never visits or logs in to LinkedIn: the data comes from the MoltSets API. Powered by [MoltSets](https://moltsets.com).

- **One call per profile**: person, contact details and company firmographics come back together.
- **Graded emails**: the best business email and personal email, each with an A to F send-safety grade and the date it was last validated.
- **Company firmographics**: industry, LinkedIn industry, NAICS and SIC codes, employee count and range, revenue and revenue range.
- **Job history (optional)**: every role with title, company, dates and seniority, as JSON.
- **Hashed emails included**: SHA256 and MD5 of every business email on file, for ad audience matching (SHA256 depends on your plan).
- **No LinkedIn account needed**: the Actor never visits LinkedIn, so there are no cookies to manage and no account at risk.
- **Clean input**: profile URLs in any format, or bare slugs. Duplicates, company pages and Sales Navigator URLs are filtered out without spending anything.

### Bring your own MoltSets API key

This Actor calls the [MoltSets API](https://developer.moltsets.com) with your own key, so MoltSets data is billed to your MoltSets account and Apify only charges for compute (the Actor itself is free).

1. [Create a free MoltSets account](https://app.moltsets.com/signup?utm_source=apify\&utm_medium=actor\&utm_campaign=linkedin-profile-enricher).
2. Copy a key from [API keys](https://app.moltsets.com/dashboard/api_keys). Keys start with `ms_`.
3. Paste it into the **MoltSets API key** field. Apify stores it encrypted and the Actor never logs it.

### What it costs

**You only pay for hits.** A lookup that finds nothing costs no tokens. It still counts towards your MoltSets Fair Use request limits.

| Lookup | MoltSets tool | Cost |
| :--- | :--- | :--- |
| Full profile | `reverse_linkedin_lookup` | 1 token per profile found |

Costs are read live from your account (`get_billing`) at the start of every run, and the log shows a worst-case estimate before any lookups are made. If your balance is lower than the worst case the run still starts, because misses are free; if tokens run out it stops gracefully and keeps everything found so far.

Token costs are the published MoltSets rates at the time of writing. A profile is charged once when it is found, whatever fields it carries, and job history costs nothing extra. If you only need an email or a phone number, the [LinkedIn Email and Phone Finder](https://apify.com/moltsets/linkedin-email-phone-finder) charges only when that specific field is found.

### Input

| Field | Name | Default | Description |
| :--- | :--- | :--- | :--- |
| `apiKey` | MoltSets API key |  | Required. Your MoltSets API key (starts with `ms_`). No account yet? [Sign up free](https://app.moltsets.com/signup?utm_source=apify\&utm_medium=actor\&utm_campaign=linkedin-profile-enricher), then copy a key from [API keys](https://app.moltsets.com/dashboard/api_keys). MoltSets bills your MoltSets account directly, and only for hits. |
| `linkedinUrls` | LinkedIn profile URLs |  | Profile URLs (`https://www.linkedin.com/in/...`) or bare profile slugs. Duplicates and company pages are filtered out before any lookup. |
| `datasetId` | Read from a dataset |  | Use the results of another run, for example a LinkedIn search or post scraper. Combined with any URLs above. |
| `datasetField` | Dataset column with the profile URL |  | Column to read, for example `linkedinUrl` or `author.profileUrl` (dot paths work). Leave empty to try common names: linkedinUrl, linkedInUrl, profileUrl, linkedin_url, linkedinProfileUrl, url, publicIdentifier. |
| `includeExperience` | Include job history | `false` | Add the person's full job history as JSON in the `experience` column. Off by default because it makes rows much larger. The current role is always included. |
| `maxItems` | Maximum profiles | `100` | Hard cap on unique profiles processed in this run. |
| `maxRetryWaitSecs` | Longest Fair Use wait | `120` | If MoltSets asks the run to wait for a Fair Use window up to this long, it waits and carries on. Longer waits stop the run gracefully and keep the results so far. |

Example input:

```json
{
    "apiKey": "ms_XXXXXXXXXXX",
    "linkedinUrls": [
        "https://www.linkedin.com/in/retentionadam",
        "linkedin.com/in/john-smith-123"
    ],
    "includeExperience": false,
    "maxItems": 100
}
```

### Output

One row per input item, in input order. Each lookup has a `<lookup>_status` column:

| Status | Meaning |
| :--- | :--- |
| `found` | Data returned (and charged). |
| `not_found` | Nothing on file. Free. |
| `restricted` | Not included in your MoltSets plan. Nothing charged. See `notes`. |
| `skipped` | Not attempted: invalid input, out of phone tokens, or the run stopped early. See `notes`. |
| `error` | MoltSets could not complete the lookup after retries. Free; worth running again. |

Example row:

```json
{
    "linkedin_url": "linkedin.com/in/john-smith-123",
    "linkedin_url_normalised": "https://www.linkedin.com/in/john-smith-123",
    "input_status": "valid",
    "profile_status": "found",
    "full_name": "John Smith",
    "title": "Senior Associate - Technical Director",
    "seniority": "Senior",
    "functional_area": "Engineering",
    "skills": "Data Engineering; Python; PostgreSQL",
    "city": "Denver",
    "country": "United States",
    "business_email": "john.smith@example.com",
    "business_email_risk_score": "A",
    "business_email_validated_at": "2026-09-12",
    "personal_email": "john.smith@gmail.com",
    "personal_email_risk_score": "A",
    "company_name": "MoltSets",
    "company_website": "moltsets.com",
    "company_industry": "Information Technology",
    "company_naics_codes": "518210 Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services",
    "company_employee_count": 9,
    "company_revenue_range": "$1M - $5M",
    "notes": null
}
```

- The example shows a selection of columns. Every row has all of them; see the **All fields** view.
- **Risk scores** grade send safety: `A` validated deliverable, `B` known engagement, `C` catch-all domain, `D` never send (bounce, complaint or trap), `F` no signal. Suppress `D`; treat `C` and `F` as unknown rather than bad.
- **Personal emails** only appear when your MoltSets plan includes personal email. Otherwise `notes` says they were withheld.
- **Lists** (skills, interests, other emails, hashes, NAICS and SIC codes) are separated by semicolons so they survive CSV export. Job history is a JSON array in `experience`.
- **`connection_count`** is capped at 500, like LinkedIn's own "500+".

A run summary (hits and misses per lookup, tokens used, skipped lookups and why, stop reason) is saved as `SUMMARY` in the run's key-value store and shown in the run's status message.

### Chaining from a scraper

Point the Actor at the output of any LinkedIn search, post or company-employee scraper. In the Console, choose the run's dataset under **Read from a dataset**; common column names such as `linkedinUrl`, `profileUrl` and `url` are detected automatically, or set **Dataset column with the profile URL** (dot paths such as `author.profileUrl` work).

From code, with the [Apify API client](https://docs.apify.com/api/client/js/):

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

const apify = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await apify.actor('moltsets/linkedin-profile-enricher').call({
    apiKey: process.env.MOLTSETS_API_KEY,
    datasetId: '<dataset from your LinkedIn scraper run>',
    includeExperience: true,
    maxItems: 500,
});

const { items } = await apify.dataset(run.defaultDatasetId).listItems();
```

To run it automatically after a scraper, add an [integration](https://docs.apify.com/platform/integrations/actors) on the scraper that starts this Actor with `{"datasetId": "{{resource.defaultDatasetId}}"}` plus your key.

### Limits

- **Person profiles only**: company pages, Sales Navigator, Recruiter and old `/pub/` URLs are flagged invalid.
- **Fair Use**: MoltSets limits enrichment records and requests per rolling 5-hour and 1-week window, by plan. Every lookup counts as a request, hit or miss. If MoltSets asks the run to wait less than **Longest Fair Use wait** (default 120 seconds) it waits and continues; otherwise it stops gracefully, keeps its results and says when the window resets. See the [Fair Use Policy](https://moltsets.com/fair-use-policy-enrichment/).
- **Plan-restricted fields**: personal emails and SHA256 hashes depend on your plan. Withheld fields are noted in `notes`.
- **Out of tokens**: the run stops, keeps everything processed so far and links to billing. Unprocessed rows are marked `skipped`.
- **Maximum profiles** caps unique profiles per run (default 100), so a large dataset cannot spend more than you intended.

### Other MoltSets Actors

- LinkedIn Email and Phone Finder (coming soon): business and personal emails, mobile phones and hashes from LinkedIn URLs.
- Email Finder by Name and Company (coming soon): business emails from a name and company domain.
- Reverse Email Lookup (coming soon): the person and LinkedIn profile behind an email address.
- IP to Company Lookup (coming soon): the company behind an IPv4 address.
- B2B Lead List Builder (coming soon): lead lists of people or companies by title, industry, location and size.
- LinkedIn Profile Finder (coming soon): LinkedIn profile URLs from an email or a name and company.
- Audience Match Keys (coming soon): hashed emails and mobile ad IDs for customer match audiences.

### Support

- MoltSets API docs: [developer.moltsets.com](https://developer.moltsets.com)
- Account, billing and plan questions: support@moltsets.com
- Bugs in this Actor: open an issue on the **Issues** tab.

# Actor input Schema

## `apiKey` (type: `string`):

Required. Your MoltSets API key (starts with <code>ms\_</code>). No account yet? <a href="https://app.moltsets.com/signup?utm_source=apify&utm_medium=actor&utm_campaign=linkedin-profile-enricher" target="_blank">Sign up free</a>, then copy a key from <a href="https://app.moltsets.com/dashboard/api_keys" target="_blank">API keys</a>. MoltSets bills your MoltSets account directly, and only for hits.

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

Profile URLs (<code>https://www.linkedin.com/in/...</code>) or bare profile slugs. Duplicates and company pages are filtered out before any lookup.

## `datasetId` (type: `string`):

Use the results of another run, for example a LinkedIn search or post scraper. Combined with any URLs above.

## `datasetField` (type: `string`):

Column to read, for example <code>linkedinUrl</code> or <code>author.profileUrl</code> (dot paths work). Leave empty to try common names: linkedinUrl, linkedInUrl, profileUrl, linkedin_url, linkedinProfileUrl, url, publicIdentifier.

## `includeExperience` (type: `boolean`):

Add the person's full job history as JSON in the <code>experience</code> column. Off by default because it makes rows much larger. The current role is always included.

## `maxItems` (type: `integer`):

Hard cap on unique profiles processed in this run.

## `maxRetryWaitSecs` (type: `integer`):

If MoltSets asks the run to wait for a Fair Use window up to this long, it waits and carries on. Longer waits stop the run gracefully and keep the results so far.

## Actor input object example

```json
{
  "linkedinUrls": [
    "https://www.linkedin.com/in/retentionadam"
  ],
  "includeExperience": false,
  "maxItems": 100,
  "maxRetryWaitSecs": 120
}
```

# Actor output Schema

## `results` (type: `string`):

One row per input profile URL.

## `summary` (type: `string`):

Counts, tokens used, skipped lookups and stop reason.

# 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/retentionadam"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("moltsets/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/retentionadam"] }

# Run the Actor and wait for it to finish
run = client.actor("moltsets/linkedin-profile-enricher").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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/retentionadam"
  ]
}' |
apify call moltsets/linkedin-profile-enricher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moltsets/linkedin-profile-enricher"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/eLRHqlPY17aW487gL/builds/K6f86hhLOaOJkrnOE/openapi.json