# Linkedin Email Scraper (`bhansalisoft/linkedin-email-scraper`) Actor

Linkedin Email Scraper- Scrap Emails from linkedin specific profile using google search engine

- **URL**: https://apify.com/bhansalisoft/linkedin-email-scraper.md
- **Developed by:** [bhansalisoft](https://apify.com/bhansalisoft) (community)
- **Categories:** Automation, Lead generation, Open source
- **Features:** Limited permissions
- **Stats:** 3,763 total users, 29 monthly users, 100.0% runs succeeded, 75 bookmarks
- **User rating**: 3.04 out of 5 stars

## Pricing

from $7.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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 Email Scraper – LinkedIn Email Extractor

**LinkedIn Email Scraper** is a cloud-based LinkedIn data extraction tool that helps discover publicly available email addresses and related professional information from LinkedIn content. Search for relevant LinkedIn posts using **keywords, locations, countries, and email types**, then collect matching public email addresses and LinkedIn post information in a structured dataset.

Unlike a basic **LinkedIn profile scraper**, this LinkedIn email extractor is designed around keyword-based prospect discovery. You can search for a specific niche, topic, service, location, or industry and extract available public contact information from relevant LinkedIn content.

### What Can the LinkedIn Email Scraper Do?

The LinkedIn scraper searches LinkedIn-related content using your selected keyword and location. It can identify relevant posts and collect publicly available email addresses, post titles, descriptions, and direct LinkedIn post URLs.

You can use the tool for **LinkedIn lead generation, sales prospecting, influencer research, recruiting, marketing research, and audience discovery**.

#### Key Features

- Extract publicly available email addresses from LinkedIn-related content
- Search LinkedIn content using keywords
- Filter searches by location and country
- Support different email types and business domains
- Collect LinkedIn post titles and descriptions
- Collect direct LinkedIn post URLs
- Avoid duplicate records
- Process large numbers of results
- Export results to CSV, Excel, JSON, XML, and other formats
- Cloud-based scraping with scalable processing
- Apify proxy support
- API and automation friendly

### LinkedIn Scraper for Lead Generation

Finding relevant prospects manually on LinkedIn can be time-consuming. This **LinkedIn scraper** automates keyword-based discovery so you can build targeted datasets around a specific niche or market.

For example, you can search for keywords such as **Generative Art, AI, Sales, Jobs, Marketing, Crypto, Fashion, Fitness**, or other business niches and optionally specify a target location.

The resulting dataset can contain the available public email address, LinkedIn post title, description, and post URL.

### LinkedIn Email Finder and Extractor

The tool can also be used as a **LinkedIn email finder** for discovering publicly available email addresses associated with relevant LinkedIn content.

You can configure the email type according to your research requirements. For example, you can search for commonly used email providers or specify a business email domain such as `@example.com`.

Email availability depends on the information publicly accessible through the supported search workflow, so an email address is not guaranteed for every LinkedIn result.

### How to Use the LinkedIn Email Scraper

Search Using below parameter.

- \[Keyword] : Any Keyword like Jobs,Sales.
- \[Location] : this option is optional but you can write any location .
- \[Country] : Select Country of Email you want to Scrap Email
- \[Email Type] : if you want to scrap popular email like gmail,hotmail then retain default option. but if you want to scrap
  B2B business email, define your business domain email like '@domain.com'

### Example Input

```json
{
  "Country": "www",
  "Email_Type": "0",
  "Keyword": "Generative Art",
  "Limit": "1000",
  "location": "La Romana",
  "proxySettings": {
    "useApifyProxy": true,
    "apifyProxyGroups": [],
    "apifyProxyCountry": "US"
  },
  "social_network": "Linkedin.com/"
}
```

### Example Output

```json
[
  {
    "Email": "example@gmail.com",
    "title": "Generative Art Workshop Highlights",
    "Description": "Generative art workshop information and publicly available contact details.",
    "Detail_Link": "https://www.linkedin.com/"
  }
]
```

### Output Fields

| Field       | Description                                                        |
| ----------- | ------------------------------------------------------------------ |
| Email       | Publicly available email address found through the search workflow |
| title       | LinkedIn post title                                                |
| Description | Relevant LinkedIn post description or snippet                      |
| Detail_Link | LinkedIn post URL                                                  |

\##demo video

https://youtu.be/bgoKwrNtrjY

### Use Cases

The LinkedIn Email Scraper can help with:

- B2B lead generation
- Sales prospecting
- Digital marketing research
- Agency lead generation
- Influencer outreach
- Creator and artist discovery
- Recruiting research
- Market research
- Audience discovery
- Niche research
- Local business research
- AI and technology research

### Who Can Use This LinkedIn Scraper?

This tool is useful for **digital marketers, sales teams, SEO agencies, recruiters, lead generation agencies, influencer marketing teams, startups, researchers, and growth professionals** who need structured LinkedIn-related data for research and business workflows.

### Frequently Asked Questions

#### What is a LinkedIn Email Scraper?

A LinkedIn Email Scraper is a tool that searches relevant LinkedIn content and extracts publicly available email addresses and related post information.

#### What is the difference between a LinkedIn Scraper and a LinkedIn Email Scraper?

A general LinkedIn scraper can collect different types of LinkedIn data. A LinkedIn Email Scraper focuses specifically on discovering available email addresses together with relevant LinkedIn content.

#### Can I search LinkedIn by keyword?

Yes. You can enter a keyword or niche and optionally specify a location and country to create a more targeted search.

#### Can I export LinkedIn scraper results?

Yes. Results can be exported in formats such as CSV, Excel, JSON, and XML.

#### Does the scraper return an email for every result?

No. Results depend on the availability of publicly accessible email information. The scraper does not guarantee an email address for every LinkedIn result.

#### What can I use the LinkedIn scraper for?

Common applications include lead generation, sales research, recruiting research, influencer discovery, marketing research, and niche audience research.

### Demo

https://youtu.be/bgoKwrNtrjY

Watch the LinkedIn Email Scraper demonstration to see how keyword-based LinkedIn email extraction works.

Start using the **LinkedIn Email Scraper** to automate LinkedIn data research, discover relevant public contact information, and build targeted datasets for your business workflows.

# Actor input Schema

## `Keyword` (type: `string`):

Keyword

## `location` (type: `string`):

Location

## `social_network` (type: `string`):

Social Network

## `Country` (type: `string`):

Country

## `Email_Type` (type: `string`):

Email Type

## `Other_Email_Type` (type: `string`):

Other Email Type(Example @domain.com)

## `Limit` (type: `string`):

Max Number of Result : if this option is blank or 0 then it will scrap unlimited

## `proxySettings` (type: `object`):

Select proxies to be used by your crawler.

## Actor input object example

```json
{
  "Keyword": "TestKeyword",
  "social_network": "linkedin.com/",
  "Country": "www",
  "Email_Type": "0",
  "Limit": "0",
  "proxySettings": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "Keyword": "TestKeyword",
    "Limit": "0",
    "proxySettings": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bhansalisoft/linkedin-email-scraper").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 = {
    "Keyword": "TestKeyword",
    "Limit": "0",
    "proxySettings": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("bhansalisoft/linkedin-email-scraper").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 '{
  "Keyword": "TestKeyword",
  "Limit": "0",
  "proxySettings": {
    "useApifyProxy": false
  }
}' |
apify call bhansalisoft/linkedin-email-scraper --silent --output-dataset

```

## MCP server setup

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

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/1KoCTvsASIAXqkvY7/builds/nqCWcbPBKdvfC8Jrs/openapi.json