# Linkedin Sales Navigator Leads Scraper (`muhammad_usama/linkedin-sales-navigator-leads-scraper`) Actor Scrape Leads from linkedin sales navigator in 3 easy steps - **URL**: https://apify.com/muhammad\_usama/linkedin-sales-navigator-leads-scraper.md - **Developed by:** [Muhammad Usama](https://apify.com/muhammad_usama) (community) - **Categories:** Lead generation, Automation, Social media - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $5.00 / 1,000 leads 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 Sales Navigator Leads Scraper Extract high-quality lead data from LinkedIn Sales Navigator searches. This Actor supports asynchronous scraping jobs, allowing you to initiate a search, check its progress, and retrieve the results once the job is complete. > **Note:** An active LinkedIn Sales Navigator account is required. --- ### Features * Scrape leads from LinkedIn Sales Navigator searches * Supports up to **100 pages** per search * Retrieves up to **25 leads per page** * Up to **2,500 leads** per search * Asynchronous job processing * Simple API with three endpoints: * `initiate` * `status` * `result` --- ### How It Works The Actor operates in three steps: #### 1. Initiate a Search Starts a new scraping job. **Input** ```json { "endpoint": "initiate", "searchUrl": "Feed it URL from linkedin sales navigator" } ```` **Response** Returns a search ID along with information about the created job. *** #### 2. Check Job Status Check whether the scraping job has completed. **Input** ```json { "endpoint": "status", "searchId" : "YOUR_SEARCH_ID" } ``` Possible statuses include: - Pending - Running - Completed - Failed *** #### 3. Retrieve Results Once the status is **Completed**, retrieve the scraped leads. **Input** ```json { "endpoint": "result", "searchId" : "YOUR_SEARCH_ID" } ``` The Actor returns an array of lead objects. *** ### Input Parameters | Field | Type | Required | Description | | -------- | ------ | -------- | ------------------------------------------ | | endpoint | String | Yes | One of `initiate`, `status`, or `result`. | | body | Object | Yes | Request payload for the selected endpoint. | *** ### Example Workflow 1. Run the Actor using `endpoint = initiate`. 2. Save the returned `searchId`. 3. Periodically call the Actor with `endpoint = status`. 4. When the status becomes **Completed**, call the Actor with `endpoint = result`. 5. Download the returned leads. *** ### Output Depending on the endpoint, the Actor returns: #### Initiate ```json { "success": true, "credits_charged": 2500, "searchId": "6a44cb73d987b0ec525879e3", "message": "Scrape process started ( ETA 5 mins ). For scrape progress use /status endpoint. Once scrape status is flagged as complete, use /result endpoint to get results." } ``` #### Status ```json { "complete": true, "total_scraped":1175 } ``` #### Result ```json [ { "lastName": "Murtaza", "memorialized": false, "objectUrn": "urn:li:member:1139241342", "geoRegion": "Ghotki District, Sindh, Pakistan", "saved": false, "openLink": false, "premium": false, "currentPositions": ["Array"], "profileUrl": "https://www.linkedin.com/in/ACwAAEPncX4Bdr4cRe_bD5D5QaN5nnq1OYnSkkQ", "viewed": false, "spotlightBadges": [], "profilePictureDisplayImage": null, "blockThirdPartyDataSharing": false, "summary": null, "pendingInvitation": false, "degree": -1, "fullName": "Ghulam Murtaza", "listCount": 0, "firstName": "Ghulam" } ] ``` The exact fields returned depend on the available data in LinkedIn Sales Navigator. *** ### Limits - Maximum **100 pages** per search. - Up to **25 leads** per page. - Maximum **2,500 leads** returned for a single search. *** ### Pricing This Actor uses **Pay-per-Event** pricing. You are charged **only for the number of leads successfully processed**. If no leads are found, no event charges are generated. *** ### Notes - A valid LinkedIn Sales Navigator search is required. - Large searches may take several minutes to complete. - Always wait until the job status is **Completed** before requesting results. *** ### Support If you encounter any issues or have feature requests, please contact the Actor author through the Apify Store page. # Actor input Schema ## `endpoint` (type: `string`): Select the endpoint. ## `searchUrl` (type: `string`): Get URL from linkedin sales navigator and feed it here. ## `searchId` (type: `string`): Get searchId by running 'Initiate Search' Endpoint. ## Actor input object example ```json { "endpoint": "initiate", "searchUrl": "https://www.linkedin.com/sales/search/people?query=(spellCorrectionEnabled%3Atrue%2CrecentSearchParam%3A(id%3A4412457225%2CdoLogHistory%3Atrue)%2Ckeywords%3ADavid)&sessionId=YiHEnzfMQJC0UIOYabzaCw%3D%3D" } ``` # 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 = { "searchUrl": "https://www.linkedin.com/sales/search/people?query=(spellCorrectionEnabled%3Atrue%2CrecentSearchParam%3A(id%3A4412457225%2CdoLogHistory%3Atrue)%2Ckeywords%3ADavid)&sessionId=YiHEnzfMQJC0UIOYabzaCw%3D%3D" }; // Run the Actor and wait for it to finish const run = await client.actor("muhammad_usama/linkedin-sales-navigator-leads-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 = { "searchUrl": "https://www.linkedin.com/sales/search/people?query=(spellCorrectionEnabled%3Atrue%2CrecentSearchParam%3A(id%3A4412457225%2CdoLogHistory%3Atrue)%2Ckeywords%3ADavid)&sessionId=YiHEnzfMQJC0UIOYabzaCw%3D%3D" } # Run the Actor and wait for it to finish run = client.actor("muhammad_usama/linkedin-sales-navigator-leads-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 '{ "searchUrl": "https://www.linkedin.com/sales/search/people?query=(spellCorrectionEnabled%3Atrue%2CrecentSearchParam%3A(id%3A4412457225%2CdoLogHistory%3Atrue)%2Ckeywords%3ADavid)&sessionId=YiHEnzfMQJC0UIOYabzaCw%3D%3D" }' | apify call muhammad_usama/linkedin-sales-navigator-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=muhammad_usama/linkedin-sales-navigator-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Sales Navigator Leads Scraper", "description": "Scrape Leads from linkedin sales navigator in 3 easy steps", "version": "0.0", "x-build-id": "WqIoNklpL0cHWpWDK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/muhammad_usama~linkedin-sales-navigator-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-muhammad_usama-linkedin-sales-navigator-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/muhammad_usama~linkedin-sales-navigator-leads-scraper/runs": { "post": { "operationId": "runs-sync-muhammad_usama-linkedin-sales-navigator-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/muhammad_usama~linkedin-sales-navigator-leads-scraper/run-sync": { "post": { "operationId": "run-sync-muhammad_usama-linkedin-sales-navigator-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "endpoint" ], "properties": { "endpoint": { "title": "Endpoint", "enum": [ "initiate", "status", "result" ], "type": "string", "description": "Select the endpoint.", "default": "initiate" }, "searchUrl": { "title": "Search URL", "type": "string", "description": "Get URL from linkedin sales navigator and feed it here." }, "searchId": { "title": "Search ID", "type": "string", "description": "Get searchId by running 'Initiate Search' Endpoint." } } }, "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 } } } } } } } } } } ```