# LinkedIn Sales Navigator Lead List Exporter (`automationagents/linkedin-lead-list-export`) Actor Export leads from a Sales Navigator lead list to structured data. Turn saved lists into clean, usable lead exports. - **URL**: https://apify.com/automationagents/linkedin-lead-list-export.md - **Developed by:** [Alex Jordan](https://apify.com/automationagents) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 2 monthly users, 14.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.70 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Lead List Export Sales Navigator Lead List Export extracts leads from a LinkedIn Sales Navigator lead list using an authenticated session. It returns structured lead records including names, profile URLs, profile identifiers, headlines, job titles, company names, and company URLs, making it useful for prospecting, lead enrichment, and list-based data collection workflows. Built on the Apify platform, this Actor supports scheduling, webhooks, and dataset exports. ### Use cases - Export Sales Navigator lead lists into structured datasets - Enrich lead records for CRM, sales ops, or outbound workflows - Review list composition and capture lead details for research - Run repeatable list exports on demand or on a schedule ### How to use Sales Navigator Lead List Export 1. Open the Actor on Apify 2. Enter the Sales Navigator lead list URL, extraction limit, and authenticated session fields 3. Start the run 4. Review the dataset output for exported lead records ### Input This Actor accepts the fields required to export lead lists 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 { "leadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "maxCountSnLeadList": 10, "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", "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": [ { "inputLeadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "inputMaxCountSnLeadList": 2, "fullName": "Example Lead", "firstName": "Example", "lastName": "Lead", "liProfileUrl": "https://www.linkedin.com/in/example-lead", "liProfileId": "ACoAAExampleLeadId123456", "liMemberUrn": "123456789", "headline": "Example Head of Growth", "jobTitle": "Head of Growth", "companyName": "Example Company", "companyUrl": "https://www.linkedin.com/company/example-company", "timestamp": "2026-06-30T00:00:00.000Z" } ] } ``` ### Pricing / Cost estimation $0.0017 per 100 result items. ### Support If you need adjustments for your workflow, use the Actor Issues tab or your internal support channel. # Actor input Schema ## `leadListUrl` (type: `string`): Sales Navigator lead list URL to export. ## `maxCountSnLeadList` (type: `integer`): Maximum number of leads to extract. ## `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. ## `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 { "leadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "maxCountSnLeadList": 10, "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", "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 = { "leadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "maxCountSnLeadList": 10, "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", "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-lead-list-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 = { "leadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "maxCountSnLeadList": 10, "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", "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-lead-list-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 '{ "leadListUrl": "https://www.linkedin.com/sales/lists/people/7477332532636676096", "maxCountSnLeadList": 10, "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", "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-lead-list-export --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automationagents/linkedin-lead-list-export", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Sales Navigator Lead List Exporter", "description": "Export leads from a Sales Navigator lead list to structured data. Turn saved lists into clean, usable lead exports.", "version": "0.2", "x-build-id": "bwDjGBNHyiu89uBab" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automationagents~linkedin-lead-list-export/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automationagents-linkedin-lead-list-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automationagents~linkedin-lead-list-export/runs": { "post": { "operationId": "runs-sync-automationagents-linkedin-lead-list-export", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automationagents~linkedin-lead-list-export/run-sync": { "post": { "operationId": "run-sync-automationagents-linkedin-lead-list-export", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "leadListUrl" ], "properties": { "leadListUrl": { "title": "Lead List URL", "type": "string", "description": "Sales Navigator lead list URL to export." }, "maxCountSnLeadList": { "title": "Limit", "type": "integer", "description": "Maximum number of leads to extract." }, "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." }, "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 } } } } } } } } } } ```