# Linkedin Profile Search ($0.9 per 1000 results) (`igolaizola/linkedin-profile-search`) Actor $0.9/1K 🔥 Scrape and extract LinkedIn profile leads fast from keywords. Get names, profile IDs, public LinkedIn URLs, headlines, current title, company, and descriptions for sales, recruiting, sourcing, lead generation, prospecting, and market research. - **URL**: https://apify.com/igolaizola/linkedin-profile-search.md - **Developed by:** [Iñigo Garcia Olaizola](https://apify.com/igolaizola) (community) - **Categories:** Lead generation, Social media, Integrations - **Stats:** 5 total users, 2 monthly users, 97.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Profiles Scraper **LinkedIn Profiles Scraper** is a fast, cost-efficient actor for finding public LinkedIn profile URLs from search keywords. It is designed for teams that need clean lead lists quickly: names, profile IDs, LinkedIn URLs, headlines, current title/company when available, and short public descriptions. This actor is especially useful when you need **high-volume LinkedIn profile discovery** without slow deep enrichment. It focuses on the fields that matter most for prospecting and routing, making it cheaper and faster than heavier LinkedIn profile scrapers. ### Why Use This Actor - **Fast LinkedIn profile discovery** from any keyword, role, company, niche, or location. - **Lower cost per result** by focusing on lightweight profile search data. - **Clean names and profile URLs** ready for CRM imports, enrichment tools, or outreach workflows. - **LinkedIn profile IDs** extracted from URLs for deduplication and matching. - **Title parsing** that splits common profile titles into name, headline, current title, and current company when the data is present. - **Clean, simple output** focused on lead discovery. ### Best Use Cases - Build lead lists from keywords like `software engineer fintech`, `founder climate tech`, or `recruiter openai`. - Find LinkedIn profile URLs for people in a role, industry, company, geography, or niche. - Collect names and LinkedIn IDs for downstream enrichment. - Create prospecting datasets for sales, recruiting, partnerships, sourcing, or market mapping. - Quickly test audience size and profile availability for a keyword segment. ### Input Parameters | Field | Type | Required | Description | | --- | --- | --- | --- | | `query` | String | No | Optional keyword or phrase used to discover relevant public LinkedIn profiles. Leave empty for a broad profile search on the selected LinkedIn domain. | | `domain` | String | No | LinkedIn domain to target. Choose `linkedin.com` for any LinkedIn domain, `www.linkedin.com` for main global results only, or one of the localized country-code domains from the dropdown, such as `es.linkedin.com`, `ca.linkedin.com`, `uk.linkedin.com`, `fr.linkedin.com`, or `de.linkedin.com`. | | `maxItems` | Integer | Yes | Maximum number of profiles to save. Set to `0` for unlimited. | #### LinkedIn Domain Use `domain` to choose which LinkedIn domain the actor should target: - `linkedin.com` for broad discovery across any LinkedIn domain, including localized subdomains. - `www.linkedin.com` for main global profile discovery only. - Localized country-code domains such as `us.linkedin.com`, `uk.linkedin.com`, `es.linkedin.com`, `fr.linkedin.com`, `de.linkedin.com`, `ca.linkedin.com`, `au.linkedin.com`, or `in.linkedin.com` for country-focused discovery. The actor includes a dropdown with `Any LinkedIn domain (linkedin.com)`, `Global main site (www.linkedin.com)`, and all validated LinkedIn country-code domains. Localized options are labeled with the country or territory name plus the exact domain, for example `Spain (es.linkedin.com)` or `United States (us.linkedin.com)`. ### Example Input ```json { "query": "software engineer fintech san francisco", "domain": "linkedin.com", "maxItems": 100 } ```` For a localized search, select one of the country domains: ```json { "query": "founder fintech madrid", "domain": "es.linkedin.com", "maxItems": 100 } ``` ### Output Each dataset item contains a public LinkedIn profile URL and structured fields derived from publicly visible discovery data. ```json { "id": "alex-morgan-123456", "url": "https://www.linkedin.com/in/alex-morgan-123456", "name": "Alex Morgan", "headline": "Software Engineer at Stripe", "currentTitle": "Software Engineer", "currentCompany": "Stripe", "description": "Software engineer with experience building scalable payment systems and developer tools..." } ``` #### Output Fields - `id`: LinkedIn profile identifier from the profile URL. - `url`: Canonical public LinkedIn profile URL. - `name`: Person name parsed from the profile title. - `headline`: Public headline or title text when available. - `currentTitle`: Parsed role when the headline clearly contains a pattern such as `Title at Company` or `Title @ Company`. - `currentCompany`: Parsed company when the headline clearly contains a company pattern. - `description`: Short public description associated with the profile. ### Tips For Better Results - Use role plus context: `account executive cybersecurity`, `machine learning engineer healthcare`, `founder ai agents`. - Add geography when relevant: `product manager berlin`, `recruiter new york`, `founder singapore fintech`. - Use the LinkedIn domain dropdown for country-specific discovery. Choose `linkedin.com` for broad results across any LinkedIn domain, `www.linkedin.com` for main global results only, or a localized domain such as `es.linkedin.com`, `fr.linkedin.com`, `de.linkedin.com`, `ca.linkedin.com`, `uk.linkedin.com`, `au.linkedin.com`, or `in.linkedin.com` when the target market matters. - Run multiple focused queries instead of one very broad query for cleaner segmentation. - Increase `maxItems` when mapping larger markets or building broader lead lists, or set it to `0` to keep collecting until results run out. ### Performance Notes This actor is optimized for speed and cost efficiency. It focuses on profile discovery and lightweight structured fields, which makes it a strong fit for collecting names, LinkedIn IDs, and LinkedIn profile URLs at scale. For workflows that need emails, full work history, education, or detailed profile enrichment, use this actor as the first step and pass the resulting profile URLs into your enrichment pipeline. # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of LinkedIn profiles to save. Set to 0 for unlimited. ## `query` (type: `string`): Keyword or phrase used to discover relevant public LinkedIn profiles. ## `domain` (type: `string`): LinkedIn domain to target. Choose linkedin.com for any LinkedIn domain, www.linkedin.com for main global results, or a localized country-code domain. ## Actor input object example ```json { "maxItems": 100, "query": "software engineer", "domain": "linkedin.com" } ``` # 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 = { "maxItems": 100, "query": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("igolaizola/linkedin-profile-search").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 = { "maxItems": 100, "query": "software engineer", } # Run the Actor and wait for it to finish run = client.actor("igolaizola/linkedin-profile-search").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 '{ "maxItems": 100, "query": "software engineer" }' | apify call igolaizola/linkedin-profile-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=igolaizola/linkedin-profile-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Profile Search ($0.9 per 1000 results)", "description": "$0.9/1K 🔥 Scrape and extract LinkedIn profile leads fast from keywords. Get names, profile IDs, public LinkedIn URLs, headlines, current title, company, and descriptions for sales, recruiting, sourcing, lead generation, prospecting, and market research.", "version": "0.0", "x-build-id": "mw8eofx6pKIEo044S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/igolaizola~linkedin-profile-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-igolaizola-linkedin-profile-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/igolaizola~linkedin-profile-search/runs": { "post": { "operationId": "runs-sync-igolaizola-linkedin-profile-search", "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/igolaizola~linkedin-profile-search/run-sync": { "post": { "operationId": "run-sync-igolaizola-linkedin-profile-search", "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": [ "maxItems" ], "properties": { "maxItems": { "title": "Max profiles", "minimum": 0, "type": "integer", "description": "Maximum number of LinkedIn profiles to save. Set to 0 for unlimited." }, "query": { "title": "Keywords", "type": "string", "description": "Keyword or phrase used to discover relevant public LinkedIn profiles." }, "domain": { "title": "LinkedIn domain", "enum": [ "linkedin.com", "www.linkedin.com", "ac.linkedin.com", "ad.linkedin.com", "ae.linkedin.com", "af.linkedin.com", "ag.linkedin.com", "ai.linkedin.com", "al.linkedin.com", "am.linkedin.com", "ao.linkedin.com", "aq.linkedin.com", "ar.linkedin.com", "as.linkedin.com", "at.linkedin.com", "au.linkedin.com", "aw.linkedin.com", "ax.linkedin.com", "az.linkedin.com", "ba.linkedin.com", "bb.linkedin.com", "bd.linkedin.com", "be.linkedin.com", "bf.linkedin.com", "bg.linkedin.com", "bh.linkedin.com", "bi.linkedin.com", "bj.linkedin.com", "bl.linkedin.com", "bm.linkedin.com", "bn.linkedin.com", "bo.linkedin.com", "br.linkedin.com", "bs.linkedin.com", "bt.linkedin.com", "bv.linkedin.com", "bw.linkedin.com", "by.linkedin.com", "bz.linkedin.com", "ca.linkedin.com", "cc.linkedin.com", "cd.linkedin.com", "cf.linkedin.com", "cg.linkedin.com", "ch.linkedin.com", "ci.linkedin.com", "ck.linkedin.com", "cl.linkedin.com", "cm.linkedin.com", "cn.linkedin.com", "co.linkedin.com", "cr.linkedin.com", "cu.linkedin.com", "cv.linkedin.com", "cw.linkedin.com", "cx.linkedin.com", "cy.linkedin.com", "cz.linkedin.com", "de.linkedin.com", "dj.linkedin.com", "dk.linkedin.com", "dm.linkedin.com", "do.linkedin.com", "dz.linkedin.com", "ec.linkedin.com", "ee.linkedin.com", "eg.linkedin.com", "eh.linkedin.com", "er.linkedin.com", "es.linkedin.com", "et.linkedin.com", "fi.linkedin.com", "fj.linkedin.com", "fk.linkedin.com", "fm.linkedin.com", "fo.linkedin.com", "fr.linkedin.com", "ga.linkedin.com", "gb.linkedin.com", "gd.linkedin.com", "ge.linkedin.com", "gf.linkedin.com", "gg.linkedin.com", "gh.linkedin.com", "gi.linkedin.com", "gl.linkedin.com", "gm.linkedin.com", "gn.linkedin.com", "gp.linkedin.com", "gq.linkedin.com", "gr.linkedin.com", "gs.linkedin.com", "gt.linkedin.com", "gu.linkedin.com", "gw.linkedin.com", "gy.linkedin.com", "hk.linkedin.com", "hm.linkedin.com", "hn.linkedin.com", "hr.linkedin.com", "ht.linkedin.com", "hu.linkedin.com", "id.linkedin.com", "ie.linkedin.com", "il.linkedin.com", "im.linkedin.com", "in.linkedin.com", "io.linkedin.com", "iq.linkedin.com", "ir.linkedin.com", "is.linkedin.com", "it.linkedin.com", "je.linkedin.com", "jm.linkedin.com", "jo.linkedin.com", "jp.linkedin.com", "ke.linkedin.com", "kg.linkedin.com", "kh.linkedin.com", "ki.linkedin.com", "km.linkedin.com", "kn.linkedin.com", "kp.linkedin.com", "kr.linkedin.com", "kw.linkedin.com", "ky.linkedin.com", "kz.linkedin.com", "la.linkedin.com", "lb.linkedin.com", "lc.linkedin.com", "li.linkedin.com", "lk.linkedin.com", "lr.linkedin.com", "ls.linkedin.com", "lt.linkedin.com", "lu.linkedin.com", "lv.linkedin.com", "ly.linkedin.com", "ma.linkedin.com", "mc.linkedin.com", "md.linkedin.com", "me.linkedin.com", "mf.linkedin.com", "mg.linkedin.com", "mh.linkedin.com", "mk.linkedin.com", "ml.linkedin.com", "mm.linkedin.com", "mn.linkedin.com", "mo.linkedin.com", "mp.linkedin.com", "mq.linkedin.com", "mr.linkedin.com", "ms.linkedin.com", "mt.linkedin.com", "mu.linkedin.com", "mv.linkedin.com", "mw.linkedin.com", "mx.linkedin.com", "my.linkedin.com", "mz.linkedin.com", "na.linkedin.com", "nc.linkedin.com", "ne.linkedin.com", "nf.linkedin.com", "ng.linkedin.com", "ni.linkedin.com", "nl.linkedin.com", "no.linkedin.com", "np.linkedin.com", "nr.linkedin.com", "nu.linkedin.com", "nz.linkedin.com", "om.linkedin.com", "pa.linkedin.com", "pe.linkedin.com", "pf.linkedin.com", "pg.linkedin.com", "ph.linkedin.com", "pk.linkedin.com", "pl.linkedin.com", "pm.linkedin.com", "pn.linkedin.com", "pr.linkedin.com", "ps.linkedin.com", "pt.linkedin.com", "pw.linkedin.com", "py.linkedin.com", "qa.linkedin.com", "re.linkedin.com", "ro.linkedin.com", "rs.linkedin.com", "ru.linkedin.com", "rw.linkedin.com", "sa.linkedin.com", "sb.linkedin.com", "sc.linkedin.com", "sd.linkedin.com", "se.linkedin.com", "sg.linkedin.com", "sh.linkedin.com", "si.linkedin.com", "sj.linkedin.com", "sk.linkedin.com", "sl.linkedin.com", "sm.linkedin.com", "sn.linkedin.com", "so.linkedin.com", "sr.linkedin.com", "ss.linkedin.com", "st.linkedin.com", "sv.linkedin.com", "sx.linkedin.com", "sy.linkedin.com", "sz.linkedin.com", "tc.linkedin.com", "td.linkedin.com", "tf.linkedin.com", "tg.linkedin.com", "th.linkedin.com", "tj.linkedin.com", "tk.linkedin.com", "tl.linkedin.com", "tm.linkedin.com", "tn.linkedin.com", "to.linkedin.com", "tr.linkedin.com", "tt.linkedin.com", "tv.linkedin.com", "tw.linkedin.com", "tz.linkedin.com", "ua.linkedin.com", "ug.linkedin.com", "uk.linkedin.com", "um.linkedin.com", "us.linkedin.com", "uy.linkedin.com", "uz.linkedin.com", "va.linkedin.com", "vc.linkedin.com", "ve.linkedin.com", "vg.linkedin.com", "vi.linkedin.com", "vn.linkedin.com", "vu.linkedin.com", "wf.linkedin.com", "ws.linkedin.com", "ye.linkedin.com", "yt.linkedin.com", "za.linkedin.com", "zm.linkedin.com", "zw.linkedin.com" ], "type": "string", "description": "LinkedIn domain to target. Choose linkedin.com for any LinkedIn domain, www.linkedin.com for main global results, or a localized country-code domain.", "default": "linkedin.com" } } }, "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 } } } } } } } } } } ```