# LinkedIn Profile Finder by Name & Company ✅ No Cookies (`neuralverge/neuralverge-linkedin-by-domain`) Actor Find a LinkedIn profile from a full name + company or domain — no profile URL needed. Pay only for matches. No cookies or account required. - **URL**: https://apify.com/neuralverge/neuralverge-linkedin-by-domain.md - **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ### LinkedIn Profile Finder by Name & Company ✅ No Cookies Find a person's **LinkedIn profile from just their full name and a company name or domain** — no profile URL required. Returns the matched name, headline, company and LinkedIn URL as one clean row. Powered by the Neuralverge API. **No cookies or account required**, and **you only pay when we find a match**. Ideal for turning a messy lead list of "name + company" into real LinkedIn profiles you can act on. ### ✨ Why this Actor - 💸 **Pay only for matches** — no match, no charge. Misses are free; no empty, billable rows. - 🔎 **Reverse lookup — no profile URL needed** — most LinkedIn scrapers require the URL up front. This one starts from what you actually have: a name and a company or domain. - 🍪 **No cookies, login or account** — never share LinkedIn credentials or risk account restrictions. The search runs on the Neuralverge backend. - 🔗 **Feeds the rest of the pipeline** — take the returned `linkedinUrl` and enrich it further with our other LinkedIn actors. ### 🔧 How it works 1. **Provide a full name + a company name or domain** (e.g. `John Doe` at `openai.com`). 2. **Run the Actor.** The match runs on the Neuralverge backend. 3. **Get one dataset row per match** — the matched person and their LinkedIn URL. Export to CSV, JSON, or Excel, or pull it over the Apify API. Lookups with no match are logged and **skipped without charge**. ### Input One lookup per run. | Field | Type | Notes | |---|---|---| | `companyOrDomain` | string | Company name or domain, e.g. `OpenAI` or `openai.com`. | | `fullName` | string | The person's full name, e.g. `John Doe`. | ```json { "companyOrDomain": "openai.com", "fullName": "John Doe" } ```` ### What you'll receive Each row is a **lightweight match** (not a full profile): - `fullName` — the matched name - `headline`, `company` - `linkedinUrl` — the resolved profile URL - `sourceQuery` — the exact search query used to find the match - `recordsReturned` — how many candidate profiles matched (only the **top** match is returned as a row; `recordsReturned` tells you the total found) - `query`, `inputFullName`, `inputCompanyOrDomain` — your original lookup, echoed back - `scrapedAt`, the markdown summary under `human`, and the complete backend response under `raw` — which carries the full machine-readable result at `raw.machine` > This Actor returns the **match and profile URL only** — it does not return the > full profile or an email. To go deeper, pass the returned `linkedinUrl` into our > LinkedIn profile or email actor. > > **Note on structure.** This Actor calls the `run-linkedin-domain` endpoint, which > returns a **fixed** search-match shape — there is no `extract_schema_json` in the > response. The complete machine-readable result still travels with every row inside > `raw.machine`. Note that `raw.machine.first_item` also carries `location` and a backend > `scraped_at` that are intentionally **not** surfaced as columns (the `location` value > from this search endpoint is a noisy snippet, not a clean location). #### Example output (real run) A real dataset row for **Bill Gates @ Gates Foundation**, shown **in full** — including the complete machine-readable result under `raw.machine`. The `human` markdown summary is omitted here only for brevity; it is returned on every real row. ```json { "query": "Bill Gates @ Gates Foundation", "inputCompanyOrDomain": "Gates Foundation", "inputFullName": "Bill Gates", "scrapedAt": "2026-07-18T12:00:00.000Z", "fullName": "Bill Gates", "headline": "Chair, Gates Foundation and Founder ...", "company": "Gates Foundation", "linkedinUrl": "https://www.linkedin.com/in/williamhgates", "sourceQuery": "site:linkedin.com/in \"Gates Foundation\" Bill Gates", "recordsReturned": 2, "raw": { "session_id": "681805f4-436d-4f97-b883-49b57000adc4", "kind": "linkedin_domain", "company_or_domain": "Gates Foundation", "full_name": "Bill Gates", "machine": { "total_items": 2, "first_item": { "name": "Bill Gates", "headline": "Chair, Gates Foundation and Founder ...", "company": "Gates Foundation", "location": "Bill Gates - Chair, Gates Foundation and Founder ...LinkedIn", "linkedin_url": "https://www.linkedin.com/in/williamhgates", "source_query": "site:linkedin.com/in \"Gates Foundation\" Bill Gates", "scraped_at": "2026-07-18T16:03:41.356Z" } }, "total_points": 10 } } ``` > Genuine output from a live run. Here `recordsReturned` is `2` — two candidates matched > the name+company search, and the strongest one is returned as the row. The full > machine-readable match travels with every row inside `raw.machine`. ### Pricing Pay per result — **$0.010 per match** ($10 per 1,000) returned to the dataset. **You pay only for matches — lookups with no match are free.** | Event | Price | |---|---| | Actor start | Free | | Match returned (per dataset row) | **$0.010** | Lookups with no match are **not billed**. Pricing is on top of your Apify platform usage. ### Integrations & API Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the [Apify API](https://docs.apify.com/api). The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and any [MCP](https://mcp.apify.com/) client. ### FAQ **Do I need the profile URL?** No — that's the point. Provide a name and a company or domain, and the Actor finds the profile for you. **Do I need a LinkedIn account or cookies?** No. The search runs on the Neuralverge backend — you never provide credentials or a session. **Does it return the full profile or an email?** No — this Actor returns the match and LinkedIn URL. Enrich further with the Profile Scraper or Email Scraper. **Am I charged if there's no match?** No. You're billed only for matches returned to the dataset. *** **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners. # Actor input Schema ## `companyOrDomain` (type: `string`): Company name or domain, e.g. "OpenAI" or "openai.com". ## `fullName` (type: `string`): The person's full name, e.g. "John Doe". ## Actor input object example ```json { "companyOrDomain": "openai.com", "fullName": "John Doe" } ``` # Actor output Schema ## `results` (type: `string`): Lightweight LinkedIn match (name, headline, company, profile URL), one row per matched lookup. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("neuralverge/neuralverge-linkedin-by-domain").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 = {} # Run the Actor and wait for it to finish run = client.actor("neuralverge/neuralverge-linkedin-by-domain").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 '{}' | apify call neuralverge/neuralverge-linkedin-by-domain --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=neuralverge/neuralverge-linkedin-by-domain", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Finder by Name & Company ✅ No Cookies", "description": "Find a LinkedIn profile from a full name + company or domain — no profile URL needed. Pay only for matches. No cookies or account required.", "version": "0.1", "x-build-id": "qS1U0BvkCegfCqWjg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/neuralverge~neuralverge-linkedin-by-domain/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-neuralverge-neuralverge-linkedin-by-domain", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/neuralverge~neuralverge-linkedin-by-domain/runs": { "post": { "operationId": "runs-sync-neuralverge-neuralverge-linkedin-by-domain", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/neuralverge~neuralverge-linkedin-by-domain/run-sync": { "post": { "operationId": "run-sync-neuralverge-neuralverge-linkedin-by-domain", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companyOrDomain": { "title": "Company name / Domain", "type": "string", "description": "Company name or domain, e.g. \"OpenAI\" or \"openai.com\"." }, "fullName": { "title": "Full name", "type": "string", "description": "The person's full name, e.g. \"John Doe\"." } } }, "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 } } } } } } } } } } ```