# LinkedIn Sales Navigator Account Scraper (`automationagents/linkedin-account-scraper`) Actor Extract company account details from a Sales Navigator account URL. Enrich target accounts for outbound and research. - **URL**: https://apify.com/automationagents/linkedin-account-scraper.md - **Developed by:** [Alex Jordan](https://apify.com/automationagents) (community) - **Categories:** Lead generation, Business - **Stats:** 1 total users, 0 monthly users, 37.5% runs succeeded, 0 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 ## Sales Navigator Account Scraper What does Sales Navigator Account Scraper do? Sales Navigator Account Scraper extracts company account details from a LinkedIn Sales Navigator account URL using an authenticated session. It is useful for account research, enrichment workflows, and repeatable company data collection. Built on the Apify platform, this Actor supports scheduling, webhooks, and dataset exports. Why use Sales Navigator Account Scraper? - Account research - Extract company details for prospecting and pipeline workflows - Structured enrichment - Turn Sales Navigator account pages into usable records - Operational visibility - Track extraction results in Apify datasets How to use Sales Navigator Account Scraper 1. Open the Actor on Apify 2. Enter the Sales Navigator company URL and required authenticated session inputs 3. Start the run 4. Review the dataset output for extracted company details Input This Actor accepts the fields required to extract a Sales Navigator account 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 { "snCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Europe/Paris", "bscookie": "example_bscookie", "li_a": "example_li_a", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "2", "csrf-token": "ajax:example", "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 extraction result to the default dataset. Example output ```json { "success": true, "response": { "inputSnCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "companyName": "Example Company", "companyId": "13230763", "companyUrl": "https://www.linkedin.com/sales/company/13230763", "companyPublicUrl": "https://www.linkedin.com/company/example-company", "website": "https://example.com", "industry": "Software Development", "headcount": "51-200", "location": "United States", "timestamp": "2026-06-30T00:00:00.000Z" } } ``` Pricing / Cost estimation $0.0025 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 ## `snCompanyUrl` (type: `string`): Sales Navigator company account URL to extract details from. ## `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. ## `li_a` (type: `string`): LinkedIn Sales Navigator session field. ## `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 { "snCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Europe/Paris", "bscookie": "example_bscookie", "li_a": "example_li_a", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "2", "csrf-token": "ajax:example", "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 = { "snCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Europe/Paris", "bscookie": "example_bscookie", "li_a": "example_li_a", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "2", "csrf-token": "ajax:example", "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-account-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 = { "snCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Europe/Paris", "bscookie": "example_bscookie", "li_a": "example_li_a", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "2", "csrf-token": "ajax:example", "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-account-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 '{ "snCompanyUrl": "https://www.linkedin.com/sales/company/13230763", "li_at": "example_li_at", "JSESSIONID": "ajax:example", "bcookie": "example_bcookie", "liap": "true", "li_theme_set": "app", "li_theme": "light", "timezone": "Europe/Paris", "bscookie": "example_bscookie", "li_a": "example_li_a", "user-agent": "Mozilla/5.0 ...", "timezoneOffset": "2", "csrf-token": "ajax:example", "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-account-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automationagents/linkedin-account-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Sales Navigator Account Scraper", "description": "Extract company account details from a Sales Navigator account URL. Enrich target accounts for outbound and research.", "version": "0.1", "x-build-id": "GHbkScvc6nHkaCwBV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automationagents~linkedin-account-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automationagents-linkedin-account-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automationagents~linkedin-account-scraper/runs": { "post": { "operationId": "runs-sync-automationagents-linkedin-account-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automationagents~linkedin-account-scraper/run-sync": { "post": { "operationId": "run-sync-automationagents-linkedin-account-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "snCompanyUrl" ], "properties": { "snCompanyUrl": { "title": "Sales Navigator Company URL", "type": "string", "description": "Sales Navigator company account URL to extract details from." }, "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." }, "li_a": { "title": "li_a", "type": "string", "description": "LinkedIn Sales Navigator session field." }, "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 } } } } } } } } } } ```