# LinkedIn Profile Activity Export (`automationagents/linkedin-profile-activity-export`) Actor Export a LinkedIn profile's recent activity using an authenticated session. - **URL**: https://apify.com/automationagents/linkedin-profile-activity-export.md - **Developed by:** [Alex Jordan](https://apify.com/automationagents) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 result items 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 Activity Export LinkedIn Profile Activity Export extracts recent activity from a LinkedIn profile using an authenticated session. It returns structured activity records that can include post content, post URLs, timestamps, hashtags, media fields, engagement signals, and related profile metadata, making it useful for content research, engagement analysis, and profile activity monitoring. Built on the Apify platform, this Actor supports scheduling, webhooks, and dataset exports. ### Use cases - Export recent LinkedIn profile activity for content analysis - Track post-level engagement and activity trends over time - Enrich creator or prospect records with recent activity context - Build repeatable monitoring workflows around profile activity datasets ### How to use LinkedIn Profile Activity Export 1. Open the Actor on Apify 2. Enter the target profile URL, extraction limit, and authenticated session fields 3. Start the run 4. Review the dataset output for returned activity records ### Input This Actor accepts the fields required to export recent profile activity through an authenticated LinkedIn 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/", "maxCount": 10, "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": "example_csrf-token", "profileId": "example-profile-id", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/", "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/example-profile/", "inputMaxCount": 10, "postHeader": "Example Person likes this", "firstName": "Amarnath", "lastName": "R M", "headline": "Open to work as Zoho Developer - Fresher| 13.2 Million Impressions | Medical Billing | CRM", "postType": "Image + Text", "jobTitle": "Open to work as Zoho Developer - Fresher| 13.2 Million Impressions | Medical Billing | CRM", "jobCompanyName": "", "liProfileUrl": "https://www.linkedin.com/in/example-activity-profile/", "liProfileId": "ACoAAExampleProfileId123456", "snProfileUrl": "https://www.linkedin.com/sales/people/ACoAAExampleProfileId123456", "liMemberUrn": "1428795218", "liProfileImageUrl": "https://media.licdn.com/dms/image/example-profile-photo", "liProfileBannerUrl": "https://media.licdn.com/dms/image/example-banner-photo", "liPostUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7477577108270186496", "postContent": "Deepinder Goyal has shared that Zomato will not lay off employees during the pandemic and will restore salary cuts over time.", "postDate": "Mon Jun 29 2026 17:12:39 GMT+0000 (Coordinated Universal Time)", "hashtags": "#deepindergoyal,#zomato,#covid,#esop,#salarycut,#ipo,#returns", "commentsCount": 0, "sharesCount": 0, "likesCount": 66 } ] } ``` ### Pricing / Cost estimation $0.005 per 50 result items. ### 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 export activity from. ## `maxCount` (type: `integer`): Maximum number of activity items to extract. ## `texAuVariables` (type: `object`): Optional TexAu personalization variables. ## `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. ## `profileId` (type: `string`): LinkedIn profile identifier for the signed-in account. ## `User-Agent` (type: `string`): Browser user agent string. ## `x-li-track` (type: `string`): LinkedIn tracking header value. ## `x-li-lang` (type: `string`): LinkedIn language header value. ## `X-Restli-Protocol-Version` (type: `string`): LinkedIn Rest.li protocol version. ## `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/", "maxCount": 10, "texAuVariables": { "yourFirstName": "", "yourLastName": "", "yourJobTitle": "", "yourCompanyName": "", "yourCompanyDescription": "Example company description", "yourUsp": "Example USP" }, "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": "example_csrf-token", "profileId": "example-profile-id", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/", "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/", "maxCount": 10, "texAuVariables": { "yourFirstName": "", "yourLastName": "", "yourJobTitle": "", "yourCompanyName": "", "yourCompanyDescription": "Example company description", "yourUsp": "Example USP" }, "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": "example_csrf-token", "profileId": "example-profile-id", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/", "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-activity-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/", "maxCount": 10, "texAuVariables": { "yourFirstName": "", "yourLastName": "", "yourJobTitle": "", "yourCompanyName": "", "yourCompanyDescription": "Example company description", "yourUsp": "Example USP", }, "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": "example_csrf-token", "profileId": "example-profile-id", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\"clientVersion\":\"1.13.455\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/", "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-activity-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/", "maxCount": 10, "texAuVariables": { "yourFirstName": "", "yourLastName": "", "yourJobTitle": "", "yourCompanyName": "", "yourCompanyDescription": "Example company description", "yourUsp": "Example USP" }, "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": "example_csrf-token", "profileId": "example-profile-id", "User-Agent": "Mozilla/5.0 ...", "x-li-track": "{\\"clientVersion\\":\\"1.13.455\\"}", "x-li-lang": "en_US", "X-Restli-Protocol-Version": "2.0.0", "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/", "proxy": { "ip": "http://proxy.example.com", "port": "1080", "username": "example_username", "password": "example_password" } }' | apify call automationagents/linkedin-profile-activity-export --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automationagents/linkedin-profile-activity-export", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Activity Export", "description": "Export a LinkedIn profile's recent activity using an authenticated session.", "version": "0.1", "x-build-id": "K5SY3BYLX4DBSysOp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automationagents~linkedin-profile-activity-export/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automationagents-linkedin-profile-activity-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automationagents~linkedin-profile-activity-export/runs": { "post": { "operationId": "runs-sync-automationagents-linkedin-profile-activity-export", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automationagents~linkedin-profile-activity-export/run-sync": { "post": { "operationId": "run-sync-automationagents-linkedin-profile-activity-export", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 export activity from." }, "maxCount": { "title": "Limit", "type": "integer", "description": "Maximum number of activity items to extract." }, "texAuVariables": { "title": "TexAu Variables", "type": "object", "description": "Optional TexAu personalization variables." }, "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." }, "profileId": { "title": "Profile ID", "type": "string", "description": "LinkedIn profile identifier for the signed-in account." }, "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 value." }, "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 Rest.li protocol version." }, "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 } } } } } } } } } } ```