# LinkedIn Profile Search Scraper (`akash9078/linkedin-profile-search-scraper`) Actor Find and extract publicly available LinkedIn profile data from Google search results. This Actor searches Google for LinkedIn profiles using targeted queries and returns profile URLs, names, job titles, companies, and location snippets. - **URL**: https://apify.com/akash9078/linkedin-profile-search-scraper.md - **Developed by:** [Akash Kumar Naik](https://apify.com/akash9078) (community) - **Categories:** Lead generation, Developer tools, Agents - **Stats:** 32 total users, 19 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 Search Scraper Find and extract publicly available LinkedIn profile data from Google search results. This Actor searches Google for LinkedIn profiles using targeted queries and returns profile URLs, names, job titles, companies, and location snippets. ### What does LinkedIn Profile Search Scraper do? This Actor helps you discover LinkedIn profiles without accessing LinkedIn directly. It uses Google search with `site:linkedin.com/in` queries to find publicly indexed profiles and extracts available information from the search result snippets. #### Key Features - **Profile Discovery**: Find LinkedIn profiles by job title, location, company, or skills - **Public Data Only**: Extracts only publicly available information from Google search results - **Pay-Per-Event Pricing**: Pay only for profiles successfully scraped and saved - **Multi-Page Support**: Scrape up to 20 pages of Google results (~200 profiles) - **Global Search**: Route searches through different country domains for localized results - **Deduplication**: Automatically removes duplicate profiles across pages ### Use Cases | Use Case | Example Query | |----------|---------------| | Recruiting | `site:linkedin.com/in "software engineer" "San Francisco"` | | Lead Generation | `site:linkedin.com/in marketing director "New York"` | | Market Research | `site:linkedin.com/in founder startup` | | Networking | `site:linkedin.com/in "data scientist" healthcare` | ### Input Configure the Actor through the **Input** tab in Apify Console. The following fields are available: | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | query | string | Yes | — | Google search query with `site:linkedin.com/in` | | maxPages | integer | No | 1 | Max result pages (1–20, ~10 results per page) | | countryCode | string | No | `us` | Google domain (`us`, `uk`, `de`, `in`, etc.) | | proxyConfiguration | object | No | GOOGLE_SERP | Proxy settings — SERP proxies recommended | #### Query Examples ```` site:linkedin.com/in software engineer "San Francisco" site:linkedin.com/in "product manager" fintech site:linkedin.com/in director site:linkedin.com/in amazon OR google site:linkedin.com/in nurse "Los Angeles" site:linkedin.com/in founder "venture capital" ```` > 💡 **Tip**: Use quotes for exact phrase matching. Combine with `AND`/`OR` for complex queries. ### Output Results are saved to the default dataset in JSON format. You can export as JSON, CSV, Excel, or HTML. #### Dataset Fields | Field | Type | Description | |-------|------|-------------| | title | string | Profile name and headline from search result | | profileUrl | string | Direct LinkedIn profile URL (`linkedin.com/in/...`) | | description | string | Profile snippet (job title, company, location) | | displayUrl | string | URL shown in search results | | position | integer | Result position on the page (1-based) | | sourceUrl | string | Google search page URL | | scrapedAt | string | ISO timestamp | #### Example Output ```json { "title": "John Smith - Software Engineer at Google", "profileUrl": "https://www.linkedin.com/in/johnsmith", "description": "Software Engineer at Google | Ex-Amazon | San Francisco Bay Area", "displayUrl": "https://www.linkedin.com/in/johnsmith", "position": 1, "sourceUrl": "https://www.google.com/search?q=site%3Alinkedin.com%2Fin+software+engineer", "scrapedAt": "2026-04-23T12:52:01.394Z" } ```` ### Pricing This Actor uses **Pay-Per-Event (PPE)** pricing: | Event | Price | Description | |-------|-------|-------------| | Actor Start | $0.00005 | One-time fee per Actor run | | Profile Scraped | $0.005 | Per profile saved to dataset | **Example**: Scraping 50 profiles costs approximately $0.25 (plus the start fee). Set a maximum spending limit in the Actor console to control your budget. ### Tips & Tricks #### Optimize Your Queries - **Use quotes** for exact matches: `"software engineer"` - **Include location** for targeted results: `"San Francisco"` or `"London"` - **Filter by company**: `site:linkedin.com/in engineer Google` - **Combine terms** with `AND`/`OR`: `site:linkedin.com/in (engineer OR developer)` #### Control Costs - Start with `maxPages: 1` to preview results - Each page yields ~10 profiles; set `maxPages` based on your needs - Use `countryCode` to target specific regions and improve relevance #### Data Quality - Not all profiles have rich descriptions in Google search results - Descriptions depend on what Google indexes from the profile - Some results may show "No description available" if the snippet is empty ### Limitations - This Actor extracts **publicly available data only** from Google search results - It does not log into LinkedIn or access private profile information - Results depend on Google's indexing and may not include all LinkedIn profiles - Google may occasionally block or rate-limit requests; the Actor retries automatically ### Support - **Documentation**: [Apify Platform Docs](https://docs.apify.com/) - **Issues**: Report via the Actor's Issues tab in Apify Store - **Email**: support@apify.com *** *Built with ❤️ on the Apify Platform.* # Actor input Schema ## `query` (type: `string`): Keywords to search for LinkedIn profiles. Example: '"software engineer" "San Francisco"' ## `maxPages` (type: `integer`): Maximum number of result pages to scrape (each page has ~10 results) ## `countryCode` (type: `string`): Google country domain for proxy routing (e.g., 'us', 'uk', 'de') ## `proxyConfiguration` (type: `object`): Select proxies to be used by your crawler. Use SERP proxies for Google. ## Actor input object example ```json { "query": "software engineer", "maxPages": 1, "countryCode": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } } ``` # 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 = { "query": "software engineer", "maxPages": 1, "countryCode": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("akash9078/linkedin-profile-search-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 = { "query": "software engineer", "maxPages": 1, "countryCode": "us", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["GOOGLE_SERP"], }, } # Run the Actor and wait for it to finish run = client.actor("akash9078/linkedin-profile-search-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 '{ "query": "software engineer", "maxPages": 1, "countryCode": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } }' | apify call akash9078/linkedin-profile-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=akash9078/linkedin-profile-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Search Scraper", "description": "Find and extract publicly available LinkedIn profile data from Google search results. This Actor searches Google for LinkedIn profiles using targeted queries and returns profile URLs, names, job titles, companies, and location snippets.", "version": "1.0", "x-build-id": "k5AOiKAdgYca8hd7Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/akash9078~linkedin-profile-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-akash9078-linkedin-profile-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/akash9078~linkedin-profile-search-scraper/runs": { "post": { "operationId": "runs-sync-akash9078-linkedin-profile-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/akash9078~linkedin-profile-search-scraper/run-sync": { "post": { "operationId": "run-sync-akash9078-linkedin-profile-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search terms", "type": "string", "description": "Keywords to search for LinkedIn profiles. Example: '\"software engineer\" \"San Francisco\"'", "default": "software engineer" }, "maxPages": { "title": "Maximum pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of result pages to scrape (each page has ~10 results)", "default": 1 }, "countryCode": { "title": "Country code", "type": "string", "description": "Google country domain for proxy routing (e.g., 'us', 'uk', 'de')", "default": "us" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler. Use SERP proxies for Google.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } } } }, "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 } } } } } } } } } } ```