# LinkedIn Profile Extractor + Verified Email (`patient_discovery/linkedin-profile-extractor`) Actor Paste LinkedIn profile URLs, get back a complete contact list ready for outreach. Returns name, company, title, location, and verified email address. No LinkedIn account required. Works with Sales Navigator links too. - **URL**: https://apify.com/patient\_discovery/linkedin-profile-extractor.md - **Developed by:** [Surge Street](https://apify.com/patient_discovery) (community) - **Categories:** Social media, Lead generation - **Stats:** 12 total users, 5 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 enriched leads This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Extractor + Verified Email Paste in a list of LinkedIn profile URLs. Get back a clean contact spreadsheet — name, company, title, and verified email — ready to load into your outreach sequence, CRM, or Apollo. This actor does what it would take three separate tools to do: it pulls the full profile, finds the email address, verifies it's actually deliverable, and packages everything into one clean output. No manual copy-pasting, no stitching together data from multiple exports. ### Why sales teams use this You've done the research. You've found the people on LinkedIn. The bottleneck is turning those 200 profile URLs into 200 verified email addresses without paying $500/month for Hunter + LinkedIn Premium + a data enrichment tool. This actor handles all of it for $20 per 1,000 contacts. ### What you get for each profile | Field | Description | |---|---| | Full name | First + last | | Email | Verified business email | | Email status | valid / risky / unknown | | Job title | Current role | | Company | Current employer | | Company domain | Used for email finding | | Headline | LinkedIn headline | | Location | City, region, country | | LinkedIn URL | Input URL, confirmed | | Follower count | Profile authority signal | | Summary | About section | | Work history | All past positions | | Education | Degrees and institutions | | Skills | Up to 50 listed skills | | Certifications | Professional certs | ### How to run it 1. Open the actor, paste your LinkedIn profile URLs into the input box (one per line, or as a list) 2. Toggle email finding on (default: on) 3. Hit Run 4. Download your results as CSV or JSON when the run completes That's it. Average runtime is about 2–3 minutes per 100 profiles. ### Works with Sales Navigator Already building your list in Sales Navigator? Copy the profile URLs directly. The actor accepts both `linkedin.com/in/` and `linkedin.com/sales/people/` formats. ### Integrations Connect this actor into your existing workflow: - **Clay** — use Apify's native Clay integration to run this actor inside your Clay table as an enrichment column - **Make (Integromat)** — trigger this actor from a scenario, receive results via webhook - **n8n** — call via HTTP node, map fields to your next step - **Zapier** — Apify's Zapier integration lets you chain this into any zap ### Sample output (CSV preview) | Name | Email | Email Status | Title | Company | Location | |---|---|---|---|---|---| | James Rivera | james@frontapp.com | valid | Head of Partnerships | Front | Austin, TX | | Priya Shah | p.shah@notion.so | valid | Senior AE | Notion | Remote | | Dan Wu | — | unknown | SDR | Outreach | Seattle, WA | ### Pricing Pay only when results are delivered: - **$20 per 1,000 leads with verified email** - **$8 per 1,000 profiles without email** No subscription. Cancel anytime (there's nothing to cancel). ### FAQ **I already have emails from Apollo — why use this?** Apollo coverage drops off sharply for mid-market and startup contacts. This actor verifies emails independently, so you'll often recover contacts that Apollo shows as "email not found." **What if I only have 50 profiles to enrich?** No problem. There's no minimum. You'll be charged for exactly 50 results. **How long does a run take?** Roughly 60–90 seconds per 100 profiles when email finding is on. A list of 500 profiles takes about 8–12 minutes. **Can I run this on a schedule?** Yes. Use Apify's built-in scheduler to re-enrich a list weekly or monthly, useful if you're monitoring a specific segment for job changes. **Is this GDPR compliant?** The actor scrapes publicly visible LinkedIn data only. No login, no private data access. Compliance with data regulations is the responsibility of the end user. # Actor input Schema ## `linkedin_urls` (type: `array`): One profile URL per row (standard or Sales Navigator). Paste hundreds or thousands of URLs here. Duplicates are removed automatically. ## `linkedin_url` (type: `string`): Optional. Used only if "LinkedIn profile URL(s)" is empty — for older integrations that pass one URL here. ## `extract_email` (type: `boolean`): Find and verify the person's work email using their name and company. Included by default. ## Actor input object example ```json { "linkedin_urls": [ "https://linkedin.com/in/pratik-dani" ], "linkedin_url": "", "extract_email": true } ```` # Actor output Schema ## `results` (type: `string`): LinkedIn profiles enriched with verified work emails, stored in the default dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("patient_discovery/linkedin-profile-extractor").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 = {} # Run the Actor and wait for it to finish run = client.actor("patient_discovery/linkedin-profile-extractor").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 patient_discovery/linkedin-profile-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=patient_discovery/linkedin-profile-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Extractor + Verified Email", "description": "Paste LinkedIn profile URLs, get back a complete contact list ready for outreach. Returns name, company, title, location, and verified email address. No LinkedIn account required. Works with Sales Navigator links too.\n", "version": "1.0", "x-build-id": "jU5ySm0lEYb7Fqz7l" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/patient_discovery~linkedin-profile-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-patient_discovery-linkedin-profile-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/patient_discovery~linkedin-profile-extractor/runs": { "post": { "operationId": "runs-sync-patient_discovery-linkedin-profile-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/patient_discovery~linkedin-profile-extractor/run-sync": { "post": { "operationId": "run-sync-patient_discovery-linkedin-profile-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "linkedin_urls": { "title": "LinkedIn profile URL(s)", "type": "array", "description": "One profile URL per row (standard or Sales Navigator). Paste hundreds or thousands of URLs here. Duplicates are removed automatically.", "items": { "type": "string" }, "default": [ "https://linkedin.com/in/pratik-dani" ] }, "linkedin_url": { "title": "Single profile URL (legacy)", "type": "string", "description": "Optional. Used only if \"LinkedIn profile URL(s)\" is empty — for older integrations that pass one URL here.", "default": "" }, "extract_email": { "title": "Find Verified Work Email", "type": "boolean", "description": "Find and verify the person's work email using their name and company. Included by default.", "default": true } } }, "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 } } } } } } } } } } ```