# 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 - **Stats:** 3,505 total users, 18 monthly users, 100.0% runs succeeded, 74 bookmarks - **User rating**: 2.77 out of 5 stars ## Pricing $10.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Email Scraper Linkedin Email Extractor Software is Unique software and 100% Real Email Extracting Software , I have Used Unique Technique in this software that you will not get in any marketplace. Extract public email addresses and business contact information from Linkedin posts and profiles using keywords, locations, and social media searches. This powerful Apify actor helps marketers, agencies, recruiters, and lead generation professionals automate Linkedin email extraction at scale. The scraper searches Linkedin content and extracts publicly available emails, post titles, descriptions, and post URLs related to your target niche or keyword. --- ## Features * Software will scrap emails from Linkedin specific profiles using search engine(Google). * You can search emails as per specified keyword, location, Country * you can export data into excel/csv * no duplicate record * Extract public email addresses from Linkedin content * Search by keyword and location * Collect Linkedin post links and descriptions * Bulk email extraction for lead generation * Export data in JSON, CSV, Excel, XML, and more * Fast cloud-based scraping with scalable performance * Proxy support included * API and automation friendly --- ## Use Cases * Lead generation for agencies and businesses * Influencer outreach campaigns * Finding niche creators and artists * Marketing and sales prospecting * AI, crypto, fashion, fitness, and local business research * Linkedin audience discovery --- ## How to use 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 Tool Input ```json id="3n1ka0" { "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 id="84mxk2" [ { "Email": "theresa.buchheister@gmail.com", "title": "🐾 CREATURES LAB WORKSHOP HIGHLIGHTS ...", "Description": "CREATURES LAB WORKSHOP HIGHLIGHTS A generative art-science workshop hosted by La Romana ... contact via theresa.buchheister@gmail.com ... Read more", "Detail_Link": "https://www.Linkedin.com/p/DXuwqd3jRLk/" }, { "Email": "artist.ai.taskforee@gmail.com", "title": "Tomorrow is the Day! The AI for the Arts x Google Arts & ...", "Description": "AI for the Arts x Google Arts & Culture event ... artist.ai.taskforee@gmail.com ... Read more", "Detail_Link": "https://www.Linkedin.com/p/DYiC2bwtXOx/" } ] ``` *** ## Input Parameters | Parameter | Description | | -------------- | -------------------------- | | Keyword | Keyword or niche to search | | location | Target city or location | | Country | Search domain selection | | Email\_Type | Type of emails to extract | | Limit | Maximum number of results | | proxySettings | Apify proxy configuration | | social\_network | Social platform target | *** ## Output Fields | Field | Description | | ----------- | ------------------------------ | | Email | Extracted public email address | | title | Linkedin post title | | Description | Post description snippet | | Detail\_Link | Direct Linkedin post URL | *** \#demo video https://youtu.be/bgoKwrNtrjY *** ## Why Use This Linkedin Email Scraper? This scraper automates the process of discovering public Linkedin emails and related posts based on your niche keywords. Instead of manually searching thousands of Linkedin pages, you can instantly generate targeted lead lists for outreach, influencer marketing, recruitment, and market research. Perfect for: - Digital marketers - SEO agencies - Recruiters - Influencer outreach teams - AI startups - Sales professionals - Growth hackers Start extracting Linkedin emails and generating targeted leads today with this scalable Linkedin Email Scraper on Apify. if you face any issue , you can email us at bhansalisoft781986@gmail.com # 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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("💾 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 '{ "Keyword": "TestKeyword", "Limit": "0", "proxySettings": { "useApifyProxy": false } }' | apify call bhansalisoft/linkedin-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bhansalisoft/linkedin-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Email Scraper", "description": "Linkedin Email Scraper- Scrap Emails from linkedin specific profile using google search engine", "version": "0.0", "x-build-id": "jYbbxzxQ3daO7SNHt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bhansalisoft~linkedin-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bhansalisoft-linkedin-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bhansalisoft~linkedin-email-scraper/runs": { "post": { "operationId": "runs-sync-bhansalisoft-linkedin-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bhansalisoft~linkedin-email-scraper/run-sync": { "post": { "operationId": "run-sync-bhansalisoft-linkedin-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "Keyword", "social_network", "Email_Type", "Country" ], "properties": { "Keyword": { "title": "Keyword", "type": "string", "description": "Keyword" }, "location": { "title": "Location(optional)", "type": "string", "description": "Location" }, "social_network": { "title": "Social Network", "enum": [ "linkedin.com/" ], "type": "string", "description": "Social Network", "default": "linkedin.com/" }, "Country": { "title": "Country", "enum": [ "it", "www", "gm", "fr", "sp", "uk", "al", "ag", "ar", "am", "as", "au", "aj", "bg", "bo", "be", "bh", "bk", "br", "bu", "ca", "ci", "ch", "co", "cs", "hr", "cu", "ez", "dk", "ec", "eg", "en", "fi", "gg", "gr", "hk", "hu", "ic", "in", "id", "ir", "iz", "ei", "is", "jm", "ja", "ke", "kn", "ks", "ku", "lg", "ly", "ls", "lh", "lu", "mc", "mk", "my", "mt", "mx", "md", "mn", "mj", "mo", "np", "nl", "nz", "ni", "no", "pk", "we", "pm", "pa", "pe", "rp", "pl", "po", "rq", "qa", "ro", "rs", "sm", "sa", "sg", "ri", "sn", "lo", "si", "sf", "sw", "sz", "sy", "tw", "th", "ts", "tu", "ua", "ae", "uy", "uz", "ve" ], "type": "string", "description": "Country", "default": "www" }, "Email_Type": { "title": "Email Type", "enum": [ "0", "1" ], "type": "string", "description": "Email Type", "default": "0" }, "Other_Email_Type": { "title": "Other Email Type(Example @domain.com)", "type": "string", "description": "Other Email Type(Example @domain.com)" }, "Limit": { "title": "Max Number of Result", "type": "string", "description": "Max Number of Result : if this option is blank or 0 then it will scrap unlimited" }, "proxySettings": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```