# Linkedin Profile Scrape with certain fields (`orange_intermission/linkedin-profile-scrape-with-certain-fields`) Actor Extracting LinkedIn profile details: headline, the about/summary section, previous Experience - **URL**: https://apify.com/orange\_intermission/linkedin-profile-scrape-with-certain-fields.md - **Developed by:** [Ali PG](https://apify.com/orange_intermission) (community) - **Categories:** Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-usage ## 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 Details Extractor and Email Finder Our powerful tool allows you to gather detailed information from LinkedIn profiles while prioritizing security and adhering to platform policies. You can collect complete data from the experience, education, and skills sections of any profile. Optionally, our tool can also try to find **email addresses** for LinkedIn profiles, which is ideal for lead generation, recruitment, and networking. We perform comprehensive validation checks, including SMTP checks, to ensure the email addresses are valid and deliverable. Adaptive cost: if a LinkedIn profile is not complete enough to perform the email search - we will not charge you for the search. #### Key Benefits - No cookies or account required: Access profile data without sharing cookies or risking account restrictions - Low pricing: $4 per 1000 detailed profiles or $10 per 1000 profiles with email address search. - Fast response times & concurrency. - Real-time scraping - fresh data. Find more Linkedin scraping actors [https://apify.com/harvestapi](https://apify.com/harvestapi) ### How It Works Simply provide one of the following: - List of LinkedIn public identifiers (e.g., `williamhgates` from `https://www.linkedin.com/in/williamhgates`) - List of LinkedIn profile URLs - List if LinkedIn profile IDs (e.g. ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc) ##### Email search By selecting the "Profile details + email search ($10 per 1k)" profile scraper mode, you can enable our tool to perform email search for LinkedIn profiles, which is ideal for lead generation, recruitment, and networking. We perform comprehensive validation checks, including SMTP checks, to ensure the email addresses are valid and deliverable. Adaptive cost: if a LinkedIn profile is not complete enough to perform the email search - we will not charge you for the search. **Important Note:** The scraper cannot extract emails directly from a LinkedIn profile as this information is not publicly available on the platform. The email search is performed independently and **it is not guaranteed to find an email for every profile.** #### Data You’ll Receive - `headline` — the profile headline - `about` — the about/summary section - `previousExperience` — the third experience entry (index 2) formatted as `"position: X, Company name: Y"`, or `undefined` if not present #### Sample output data Here is the sample output of this actor: ```json { "headline": "Pharmacology | Medical Science Liasion | Pharmacovigilence | Regulatory Toxicologist | Process Validation | Project Management | Leadership | Photography", "about": "I find myself at a unique crossroads where science meets compassion...", "previousExperience": "position: Intern Pharmacist | Immunization Administration, Patient Counseling, Medication Safety, Company name: CVS Health", "originalQuery": { "publicIdentifier": "towhid-rahman" } } ```` ### Linkedin profiles API The actor stores results in a dataset. You can export data in various formats such as CSV, JSON, XLS, etc. You can scrape and access data on demand using API. #### Support and Feedback We continuously enhance our tools based on user feedback. If you encounter technical issues or have suggestions for improvement: - Create an issue on the actor’s Issues tab in Apify Console - Or contact us at contact@harvest-api.com **\* \* \*** **Disclaimer**: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners. # Actor input Schema ## `profileScraperMode` (type: `string`): Choose the mode for scraping LinkedIn profiles. 'Profile details' scrapes detailed profile information, while 'Profile details + email search' attempts to find the email address of the profile owner. ## `queries` (type: `array`): List of LinkedIn profile URLs or Public Identifiers (last part in the URL) to scrape. ## `urls` (type: `array`): List of LinkedIn profile URLs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs ## `publicIdentifiers` (type: `array`): List of LinkedIn Public Identifiers. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs ## `profileIds` (type: `array`): List of LinkedIn profile IDs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs ## Actor input object example ```json { "profileScraperMode": "Profile details no email ($4 per 1k)", "queries": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/towhid-rahman" ] } ``` # 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 = { "profileScraperMode": "Profile details no email ($4 per 1k)", "queries": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/towhid-rahman" ] }; // Run the Actor and wait for it to finish const run = await client.actor("orange_intermission/linkedin-profile-scrape-with-certain-fields").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "profileScraperMode": "Profile details no email ($4 per 1k)", "queries": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/towhid-rahman", ], } # Run the Actor and wait for it to finish run = client.actor("orange_intermission/linkedin-profile-scrape-with-certain-fields").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 '{ "profileScraperMode": "Profile details no email ($4 per 1k)", "queries": [ "https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/towhid-rahman" ] }' | apify call orange_intermission/linkedin-profile-scrape-with-certain-fields --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=orange_intermission/linkedin-profile-scrape-with-certain-fields", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Profile Scrape with certain fields", "description": "Extracting LinkedIn profile details: headline, the about/summary section, previous Experience", "version": "0.0", "x-build-id": "tTbrJ0QrUP4LdZRmq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/orange_intermission~linkedin-profile-scrape-with-certain-fields/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-orange_intermission-linkedin-profile-scrape-with-certain-fields", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/orange_intermission~linkedin-profile-scrape-with-certain-fields/runs": { "post": { "operationId": "runs-sync-orange_intermission-linkedin-profile-scrape-with-certain-fields", "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/orange_intermission~linkedin-profile-scrape-with-certain-fields/run-sync": { "post": { "operationId": "run-sync-orange_intermission-linkedin-profile-scrape-with-certain-fields", "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": { "profileScraperMode": { "title": "Profile Scraper Mode (change this to find email)", "enum": [ "Profile details no email ($4 per 1k)", "Profile details + email search ($10 per 1k)" ], "type": "string", "description": "Choose the mode for scraping LinkedIn profiles. 'Profile details' scrapes detailed profile information, while 'Profile details + email search' attempts to find the email address of the profile owner." }, "queries": { "title": "Target URLs", "type": "array", "description": "List of LinkedIn profile URLs or Public Identifiers (last part in the URL) to scrape.", "items": { "type": "string" } }, "urls": { "title": "Profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "publicIdentifiers": { "title": "Public Identifiers (last part in the URL)", "type": "array", "description": "List of LinkedIn Public Identifiers. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } }, "profileIds": { "title": "LinkedIn Profile IDs", "type": "array", "description": "List of LinkedIn profile IDs to scrape. Provide at least one of the 3 fields: URLs or Public Identifiers or Profile IDs", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```