# LinkedIn Profile Scraper (`automationagents/linkedin-profile-scrape-export`) Actor Extract full LinkedIn profile details from a profile URL. - **URL**: https://apify.com/automationagents/linkedin-profile-scrape-export.md - **Developed by:** [Alex Jordan](https://apify.com/automationagents) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0033 / successful api call This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Scraper LinkedIn Profile Scraper extracts detailed LinkedIn profile information from a profile URL using an authenticated session. It returns structured profile-level data such as names, headline, profile and public URLs, identifiers, profile media, location, relationship signals, and additional account metadata, making it useful for profile enrichment and prospect research workflows. Built on the Apify platform, this Actor supports scheduling, webhooks, and dataset exports. ### Use cases - Enrich prospect or customer records with LinkedIn profile metadata - Extract profile context for sales, recruiting, or lead qualification workflows - Collect structured profile records for research and data operations - Run repeatable profile scraping jobs with dataset-based output tracking ### How to use LinkedIn Profile Scraper 1. Open the Actor on Apify 2. Enter the target LinkedIn profile URL and authenticated session fields 3. Start the run 4. Review the dataset output for the extracted profile record ### Input This Actor accepts the fields required to scrape a LinkedIn profile through an authenticated session. ### Proxy object Use the proxy object to define how requests should be routed. Common fields are: - `ip` - Proxy host or endpoint URL - `port` - Proxy port - `username` - Proxy username - `password` - Proxy password ### Example input ```json { "liProfileUrl": "https://www.linkedin.com/in/example-profile/", "connectedAccountId": "example_connected_account_id", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Asia/Calcutta", "bscookie": "example_bscookie", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "5.5", "csrf-token": "ajax:example", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\",\"mpVersion\":\"1.13.455\",\"osName\":\"web\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password" } } ```` ### Output The Actor writes the action result to the default dataset. ### Example output ```json { "success": true, "response": { "inputLiProfileUrl": "https://www.linkedin.com/in/rajeevsahu21/", "firstName": "Rajeev", "lastName": "Sahu", "headline": "Software Engineer | GoLang | Python | AWS | Microservices | Node.js", "emailAddressPersonal": "rajeevsahu786.haldwani@gmail.com", "emailConfirmed": true, "emailPrimary": true, "liProfileId": "rajeevsahu21", "liProfileUrl": "https://www.linkedin.com/in/rajeevsahu21", "liProfilePublicId": "rajeevsahu21", "liPublicProfileUrl": "https://www.linkedin.com/in/rajeevsahu21", "liMemberUrn": "789542231", "liProfileImageUrl": "https://media.licdn.com/dms/image/v2/C5103AQHxW3r6HOiv6A/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1579931874093", "liProfileBannerUrl": "https://media.licdn.com/dms/image/v2/D4D16AQFO6oGnzE6lgg/profile-displaybackgroundimage-shrink_200_800/B4DZ2xJU6VG8AU-/0/1776793510012", "profilePrimaryLanguage": "en", "profileLocationCountry": "India", "profileLocationCity": "Bengaluru, Karnataka", "profileLocationArea": "105214831", "liTrackingId": "/EUcHxDpRCSeAxSGVWZCSA==", "connectionDegree": "1st", "liFollowable": true, "timestamp": "2026-06-29T08:29:21.952Z" } } ``` ### Pricing / Cost estimation $0.0033 per successful API call. ### Support If you need adjustments for your workflow, use the Actor Issues tab or your internal support channel. # Actor input Schema ## `liProfileUrl` (type: `string`): LinkedIn profile URL to scrape. ## `connectedAccountId` (type: `string`): Connected LinkedIn account identifier. ## `li_at` (type: `string`): LinkedIn li\_at cookie. ## `JSESSIONID` (type: `string`): LinkedIn JSESSIONID cookie. ## `bcookie` (type: `string`): LinkedIn browser cookie. ## `liap` (type: `string`): LinkedIn session field. ## `li_theme_set` (type: `string`): LinkedIn theme-set field. ## `li_theme` (type: `string`): LinkedIn theme field. ## `timezone` (type: `string`): Browser timezone. ## `bscookie` (type: `string`): LinkedIn browser secure cookie. ## `user-agent` (type: `string`): Lowercase user-agent field if required by runtime mapping. ## `timezoneOffset` (type: `string`): Browser timezone offset. ## `csrf-token` (type: `string`): CSRF token header value. ## `User-Agent` (type: `string`): Browser user agent string. ## `x-li-track` (type: `string`): LinkedIn tracking header payload. ## `x-li-lang` (type: `string`): LinkedIn language header value. ## `X-Restli-Protocol-Version` (type: `string`): LinkedIn Restli protocol version header. ## `txSmSelfProfileUrl` (type: `string`): TexAu self profile URL. ## `proxy` (type: `object`): Proxy object for browser session. ## Actor input object example ```json { "liProfileUrl": "https://www.linkedin.com/in/example-profile/", "connectedAccountId": "example_connected_account_id", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Asia/Calcutta", "bscookie": "example_bscookie", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "5.5", "csrf-token": "ajax:example", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\",\"mpVersion\":\"1.13.455\",\"osName\":\"web\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password" } } ``` # Actor output Schema ## `results` (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 = { "liProfileUrl": "https://www.linkedin.com/in/example-profile/", "connectedAccountId": "example_connected_account_id", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Asia/Calcutta", "bscookie": "example_bscookie", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "5.5", "csrf-token": "ajax:example", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\",\"mpVersion\":\"1.13.455\",\"osName\":\"web\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password" } }; // Run the Actor and wait for it to finish const run = await client.actor("automationagents/linkedin-profile-scrape-export").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 = { "liProfileUrl": "https://www.linkedin.com/in/example-profile/", "connectedAccountId": "example_connected_account_id", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Asia/Calcutta", "bscookie": "example_bscookie", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "5.5", "csrf-token": "ajax:example", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\",\"mpVersion\":\"1.13.455\",\"osName\":\"web\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password", }, } # Run the Actor and wait for it to finish run = client.actor("automationagents/linkedin-profile-scrape-export").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 '{ "liProfileUrl": "https://www.linkedin.com/in/example-profile/", "connectedAccountId": "example_connected_account_id", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Asia/Calcutta", "bscookie": "example_bscookie", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "5.5", "csrf-token": "ajax:example", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\\"clientVersion\\":\\"1.13.455\\",\\"mpVersion\\":\\"1.13.455\\",\\"osName\\":\\"web\\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self-profile/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password" } }' | apify call automationagents/linkedin-profile-scrape-export --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automationagents/linkedin-profile-scrape-export", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper", "description": "Extract full LinkedIn profile details from a profile URL.", "version": "0.1", "x-build-id": "9JiefNVzYo8VP5Np5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automationagents~linkedin-profile-scrape-export/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automationagents-linkedin-profile-scrape-export", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automationagents~linkedin-profile-scrape-export/runs": { "post": { "operationId": "runs-sync-automationagents-linkedin-profile-scrape-export", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automationagents~linkedin-profile-scrape-export/run-sync": { "post": { "operationId": "run-sync-automationagents-linkedin-profile-scrape-export", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "liProfileUrl" ], "properties": { "liProfileUrl": { "title": "Profile URL", "type": "string", "description": "LinkedIn profile URL to scrape." }, "connectedAccountId": { "title": "Connected Account ID", "type": "string", "description": "Connected LinkedIn account identifier." }, "li_at": { "title": "li_at", "type": "string", "description": "LinkedIn li_at cookie." }, "JSESSIONID": { "title": "JSESSIONID", "type": "string", "description": "LinkedIn JSESSIONID cookie." }, "bcookie": { "title": "bcookie", "type": "string", "description": "LinkedIn browser cookie." }, "liap": { "title": "liap", "type": "string", "description": "LinkedIn session field." }, "li_theme_set": { "title": "li_theme_set", "type": "string", "description": "LinkedIn theme-set field." }, "li_theme": { "title": "li_theme", "type": "string", "description": "LinkedIn theme field." }, "timezone": { "title": "Timezone", "type": "string", "description": "Browser timezone." }, "bscookie": { "title": "bscookie", "type": "string", "description": "LinkedIn browser secure cookie." }, "user-agent": { "title": "user-agent", "type": "string", "description": "Lowercase user-agent field if required by runtime mapping." }, "timezoneOffset": { "title": "Timezone Offset", "type": "string", "description": "Browser timezone offset." }, "csrf-token": { "title": "csrf-token", "type": "string", "description": "CSRF token header value." }, "User-Agent": { "title": "User-Agent", "type": "string", "description": "Browser user agent string." }, "x-li-track": { "title": "x-li-track", "type": "string", "description": "LinkedIn tracking header payload." }, "x-li-lang": { "title": "x-li-lang", "type": "string", "description": "LinkedIn language header value." }, "X-Restli-Protocol-Version": { "title": "X-Restli-Protocol-Version", "type": "string", "description": "LinkedIn Restli protocol version header." }, "txSmSelfProfileUrl": { "title": "Self Profile URL", "type": "string", "description": "TexAu self profile URL." }, "proxy": { "title": "Proxy", "type": "object", "description": "Proxy object for browser session." } } }, "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 } } } } } } } } } } ```