# LinkedIn Profile Search Scraper (`spectre_scrape/linkedin-profile-search-scraper`) Actor Extract public LinkedIn profile data from Google Search without logging in. Features multi-query batching, structured data extraction (name, job title, company, location), automatic retries, and deduplication. Ideal for recruiting and lead generation. Pay only for profiles successfully scraped. - **URL**: https://apify.com/spectre\_scrape/linkedin-profile-search-scraper.md - **Developed by:** [Spectre](https://apify.com/spectre_scrape) (community) - **Categories:** Automation, Lead generation - **Stats:** 8 total users, 7 monthly users, 95.2% runs succeeded, 1 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 โ€” with **structured output**, **multi-query batching**, and **automatic retry**. [![Apify Actor](https://img.shields.io/badge/Apify-Actor-brightgreen)](https://apify.com) --- ### What does it do? This Actor searches Google using targeted `site:linkedin.com/in` queries to discover publicly indexed LinkedIn profiles. It extracts structured data from search result snippets โ€” **no LinkedIn login required**. #### Key Features | Feature | Details | |---|---| | ๐Ÿ”Ž **Single or batch queries** | Pass one query string or a list for bulk searches | | ๐Ÿง  **Structured output** | Parsed `name`, `jobTitle`, `company`, `location` โ€” not just raw snippets | | ๐Ÿ“„ **Multi-page support** | Up to 20 pages per query (~200 profiles per query) | | ๐Ÿ” **Automatic retry** | 3-attempt retry with backoff on failed requests | | ๐ŸŒ **Global search** | Set `countryCode` for localized Google results | | ๐Ÿšซ **Deduplication** | Duplicate profiles are removed across pages and queries | | ๐Ÿ’ฐ **Max results cap** | Set `maxResults` to control spend precisely | | ๐Ÿ”’ **Public data only** | No LinkedIn session or credentials needed | --- ### Input Configure via the **Input** tab in Apify Console. | Field | Type | Required | Default | Description | |---|---|---|---|---| | `query` | string | No* | โ€” | Single Google search query | | `queries` | array | No* | โ€” | Multiple queries for batch scraping | | `maxPages` | integer | No | `1` | Pages per query (1โ€“20, ~10 profiles/page) | | `maxResults` | integer | No | unlimited | Hard cap on total profiles saved | | `countryCode` | string | No | `us` | Google locale (`us`, `uk`, `de`, `in`, `au`โ€ฆ) | | `proxyConfiguration` | object | No | `GOOGLE_SERP` | Proxy settings โ€” SERP proxies required | > \* At least one of `query` or `queries` must be provided. #### Query Examples ```` site:linkedin.com/in "software engineer" "San Francisco" site:linkedin.com/in "product manager" fintech "New York" site:linkedin.com/in director "venture capital" site:linkedin.com/in founder startup "London" site:linkedin.com/in nurse "Los Angeles" ```` > ๐Ÿ’ก Use quotes for exact phrase matching. Combine with `OR` / `AND` for complex filters. --- ### Output Results are saved to the default dataset and can be exported as **JSON, CSV, Excel, or HTML**. #### Dataset Fields | Field | Type | Description | |---|---|---| | `name` | string | Parsed name from the search result title | | `jobTitle` | string | Parsed job title (e.g. "Software Engineer") | | `company` | string | Parsed current company (e.g. "Google") | | `location` | string | Location from result subtitle (e.g. "San Francisco Bay Area") | | `title` | string | Full raw title from search result | | `profileUrl` | string | Direct LinkedIn profile URL | | `description` | string | Full snippet text from Google | | `displayUrl` | string | URL shown in search result | | `position` | integer | Result position (1-based) | | `sourceUrl` | string | Google search page URL | | `scrapedAt` | string | ISO 8601 timestamp | #### Example Output ```json { "name": "Jane Smith", "jobTitle": "Senior Software Engineer", "company": "Stripe", "location": "San Francisco, California, United States", "title": "Jane Smith - Senior Software Engineer at Stripe", "profileUrl": "https://www.linkedin.com/in/janesmith", "description": "Senior Software Engineer at Stripe ยท San Francisco Bay Area ยท 2K followers", "displayUrl": "https://www.linkedin.com/in/janesmith", "position": 1, "sourceUrl": "https://www.google.com/search?q=site%3Alinkedin.com%2Fin+software+engineer", "scrapedAt": "2026-05-30T08:46:28.000Z" } ```` *** ### 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` | | **Competitive Intel** | `site:linkedin.com/in engineer Google OR Meta` | | **Networking** | `site:linkedin.com/in "data scientist" healthcare` | *** ### Tips & Tricks **Optimize queries:** - Use quotes for exact matches: `"product manager"` - Include location: `"San Francisco"` or `"London"` - Filter by company: `site:linkedin.com/in engineer Google` - Combine with OR: `site:linkedin.com/in (engineer OR developer)` **Control costs:** - Set `maxResults` to cap total profiles regardless of query count - Start with `maxPages: 1` to preview results - Use `countryCode` to improve regional relevance **Data quality:** - Structured fields (`name`, `jobTitle`, `company`) are parsed heuristically โ€” verify for edge cases - Google's snippet content varies; some profiles may have partial data - Results depend on Google's indexing *** ### Limitations - Extracts **publicly available** data only from Google Search results - Does not log into LinkedIn or access private profile information - Results depend on Google's indexing โ€” not all profiles appear - Google may occasionally rate-limit requests; the Actor retries automatically (3 attempts per page) *** ### Support - **Issues**: Report via the Actor's Issues tab in Apify Store - **Docs**: [Apify Platform Documentation](https://docs.apify.com) Built with โค๏ธ on the [Apify Platform](https://apify.com). # Actor input Schema ## `query` (type: `string`): Single Google search query (e.g. site:linkedin.com/in "software engineer" "San Francisco"). Use this OR the queries list below. ## `queries` (type: `array`): Run multiple search queries in one go. Each query is processed independently. ## `maxPages` (type: `integer`): Maximum number of Google Search result pages to scrape per query (1โ€“20, ~10 profiles per page). ## `maxResults` (type: `integer`): Hard cap on total profiles saved across all queries. Leave empty for unlimited. ## `countryCode` (type: `string`): Google Search locale/domain (e.g. us, uk, de, in, au). Affects result relevance. ## `proxyConfiguration` (type: `object`): Select proxies to be used by your scraper. GOOGLE\_SERP proxies are strongly recommended. ## Actor input object example ```json { "query": "site:linkedin.com/in \"software engineer\" \"San Francisco\"", "maxPages": 1, "countryCode": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of LinkedIn profiles found via Google Search, with structured fields for name, job title, company, and location. # 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": "site:linkedin.com/in \"software engineer\" \"San Francisco\"" }; // Run the Actor and wait for it to finish const run = await client.actor("spectre_scrape/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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "site:linkedin.com/in \"software engineer\" \"San Francisco\"" } # Run the Actor and wait for it to finish run = client.actor("spectre_scrape/linkedin-profile-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "site:linkedin.com/in \\"software engineer\\" \\"San Francisco\\"" }' | apify call spectre_scrape/linkedin-profile-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=spectre_scrape/linkedin-profile-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Search Scraper", "description": "Extract public LinkedIn profile data from Google Search without logging in. Features multi-query batching, structured data extraction (name, job title, company, location), automatic retries, and deduplication. Ideal for recruiting and lead generation. Pay only for profiles successfully scraped.", "version": "0.0", "x-build-id": "4DDFKX8pW1HQeKbBK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/spectre_scrape~linkedin-profile-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-spectre_scrape-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/spectre_scrape~linkedin-profile-search-scraper/runs": { "post": { "operationId": "runs-sync-spectre_scrape-linkedin-profile-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/spectre_scrape~linkedin-profile-search-scraper/run-sync": { "post": { "operationId": "run-sync-spectre_scrape-linkedin-profile-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "query": { "title": "Search Query", "type": "string", "description": "Single Google search query (e.g. site:linkedin.com/in \"software engineer\" \"San Francisco\"). Use this OR the queries list below." }, "queries": { "title": "Search Queries (batch)", "type": "array", "description": "Run multiple search queries in one go. Each query is processed independently.", "items": { "type": "string" } }, "maxPages": { "title": "Max Pages per Query", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of Google Search result pages to scrape per query (1โ€“20, ~10 profiles per page).", "default": 1 }, "maxResults": { "title": "Max Total Results", "minimum": 1, "type": "integer", "description": "Hard cap on total profiles saved across all queries. Leave empty for unlimited." }, "countryCode": { "title": "Country Code", "type": "string", "description": "Google Search locale/domain (e.g. us, uk, de, in, au). Affects result relevance.", "default": "us" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your scraper. GOOGLE_SERP proxies are strongly recommended.", "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 } } } } } } } } } } ```