# LinkedIn Company Search — Query, Industry, Size ✅ No Cookies (`neuralverge/neuralverge-linkedin-company-search`) Actor Search LinkedIn companies by keyword and filter by industry, company size and location. Returns each company's name, LinkedIn URL, industry, location, follower count, summary and logo — one row per company. No cookies or account required; pay only for the companies returned. - **URL**: https://apify.com/neuralverge/neuralverge-linkedin-company-search.md - **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 3 total users, 2 monthly users, 87.5% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 Company Search — Query, Industry, Size ✅ No Cookies Search **LinkedIn companies** by keyword and filter by **industry, company size and location**. Returns each company's name, LinkedIn URL, industry, location, follower count, summary and logo — **one row per company**. Powered by the Neuralverge API. **No cookies or account required**, and **you only pay for the companies returned**. Ideal for lead lists, market mapping, account-based marketing, competitor research and CRM enrichment. ### ✨ Why this Actor - 🔍 **Keyword + filters** — search by query and narrow by industry, headcount band and location. - 💸 **Pay only for results** — billed per company row returned; the search run itself is free. No empty, billable rows. - 🍪 **No cookies or account** — the search runs on the Neuralverge backend; you never share a LinkedIn login. - 📄 **Clean, structured rows** — name, LinkedIn URL, industry, location, followers, summary and logo, ready for a spreadsheet, CRM or AI pipeline. - ⚡ **Paginated** — set the page size and start page to walk deeper into the results. ### 🔧 How it works 1. **Enter a search query** and, optionally, industry, company-size and location filters. 2. **Run the Actor.** The search happens on the Neuralverge backend. 3. **Get one dataset row per company.** Export to CSV, JSON or Excel, or pull it over the Apify API. Empty searches return nothing and are **not charged**. ### Input | Field | Type | Notes | |---|---|---| | `searchQuery` | string | Keyword to search companies by, e.g. `software`, `fintech`. | | `industryIds` | array | LinkedIn industry slug(s), e.g. `technology_information_and_media`. Empty = all. | | `companySize` | array | Headcount band(s), e.g. `51-200`, `201-500`. Empty = any. | | `locations` | array | Location(s), e.g. `London`, `Amsterdam`. Empty = anywhere. | | `scraperMode` | string | `short` (fast basic card) or `full` (extended). | | `maxItems` | integer | Max companies to return per run. | | `startPage` | integer | Results page to start from (1 = first). | ```json { "searchQuery": "software", "industryIds": [], "companySize": [], "locations": [], "scraperMode": "short", "maxItems": 5, "startPage": 1 } ```` ### What you'll receive One dataset row per company, with these fields: - **`name`**, **`universalName`** (LinkedIn handle), **`linkedinUrl`**, **`id`** - **`industry`**, **`location`**, **`followers`** - **`summary`** and **`logo`** (image URL) > **Nulls are normal.** LinkedIn doesn't expose every field for every company — `location` and > `followers` are sometimes `null`. #### Example output (real run) Real dataset rows for the query `software` (`scraperMode: short`), shown in full. ```json [ { "id": "13480", "universalName": "software-mind", "name": "Software Mind", "linkedinUrl": "https://www.linkedin.com/company/software-mind/", "industry": "IT Services and IT Consulting", "location": "Krakow, Malopolskie", "followers": "86K followers", "summary": "Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development...", "logo": "https://media.licdn.com/dms/image/v2/C4D0BAQEayyV-_smnVQ/company-logo_100_100/company-logo_100_100/0/1646386545868/software_mind_logo?e=1786579200&v=beta&t=0m1b8QWdqf9leHiUjIbshiE4lBhB5RvOZhHcSPI2ROU" }, { "id": "3529173", "universalName": "software-university-softuni", "name": "Software University (SoftUni)", "linkedinUrl": "https://www.linkedin.com/company/software-university-softuni/", "industry": "Sofia", "location": null, "followers": null, "summary": "Software University (SoftUni) is as an education initiative for high quality software education, the biggest...", "logo": "https://media.licdn.com/dms/image/v2/C4D0BAQEApCWzd7I27g/company-logo_100_100/company-logo_100_100/0/1631349197715?e=1786579200&v=beta&t=7AEMkn9rHO98JA07KqORc9IlXYhC602kRugdWWn9k5s" } ] ``` > Genuine output from a live run — two of the five companies returned for `software`. ### Pricing Pay per result — **$0.005 per company** ($5 per 1,000) returned to the dataset. **You pay only for the rows returned — the search run itself is free.** | Event | Price | |---|---| | Actor start | Free | | Company returned (per dataset row) | **$0.005** | Searches that return nothing 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 can be called from any [MCP](https://mcp.apify.com/) client. ### FAQ **Do I need an account or cookies?** No. The search runs on the Neuralverge backend; you never share a LinkedIn login. **How do I filter by industry?** Pass LinkedIn industry slug(s) in `industryIds`, e.g. `technology_information_and_media`. Leave it empty to search all industries. **How do I get more than one page of results?** Increase `maxItems` and/or raise `startPage` to paginate deeper into the result set. **Am I charged for an empty search?** No. You're billed only for company rows returned to the dataset. *** **Disclaimer:** This Actor is an independent tool and is not affiliated with or endorsed by LinkedIn. Use the data in compliance with applicable laws and platform terms. # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search LinkedIn companies by, e.g. "software", "fintech", "logistics". ## `industryIds` (type: `array`): Filter by LinkedIn industry slug(s), e.g. "technology\_information\_and\_media", "professional\_services". Leave empty for all industries. ## `companySize` (type: `array`): Filter by LinkedIn headcount band(s), e.g. "51-200", "201-500", "1001-5000". Leave empty for any size. ## `locations` (type: `array`): Filter by location, e.g. "London", "Amsterdam". Leave empty for anywhere. ## `scraperMode` (type: `string`): "short" returns a fast, basic card per company (name, industry, location, followers, summary). Use "full" for extended data if enabled on your plan. ## `maxItems` (type: `integer`): Maximum number of companies to return per run. ## `startPage` (type: `integer`): Results page to start from (1 = first page). Use with Maximum items to paginate deeper into the results. ## Actor input object example ```json { "searchQuery": "software", "scraperMode": "short", "maxItems": 20, "startPage": 1 } ``` # Actor output Schema ## `results` (type: `string`): Structured company results, one row per company returned by the search. # 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 = { "searchQuery": "software" }; // Run the Actor and wait for it to finish const run = await client.actor("neuralverge/neuralverge-linkedin-company-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 = { "searchQuery": "software" } # Run the Actor and wait for it to finish run = client.actor("neuralverge/neuralverge-linkedin-company-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 '{ "searchQuery": "software" }' | apify call neuralverge/neuralverge-linkedin-company-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=neuralverge/neuralverge-linkedin-company-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Search — Query, Industry, Size ✅ No Cookies", "description": "Search LinkedIn companies by keyword and filter by industry, company size and location. Returns each company's name, LinkedIn URL, industry, location, follower count, summary and logo — one row per company. No cookies or account required; pay only for the companies returned.", "version": "0.1", "x-build-id": "LFg2Z8zrs0lq8XUey" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/neuralverge~neuralverge-linkedin-company-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-neuralverge-neuralverge-linkedin-company-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/neuralverge~neuralverge-linkedin-company-search/runs": { "post": { "operationId": "runs-sync-neuralverge-neuralverge-linkedin-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/neuralverge~neuralverge-linkedin-company-search/run-sync": { "post": { "operationId": "run-sync-neuralverge-neuralverge-linkedin-company-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword to search LinkedIn companies by, e.g. \"software\", \"fintech\", \"logistics\"." }, "industryIds": { "title": "Industry IDs", "type": "array", "description": "Filter by LinkedIn industry slug(s), e.g. \"technology_information_and_media\", \"professional_services\". Leave empty for all industries.", "items": { "type": "string" } }, "companySize": { "title": "Company size", "type": "array", "description": "Filter by LinkedIn headcount band(s), e.g. \"51-200\", \"201-500\", \"1001-5000\". Leave empty for any size.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Filter by location, e.g. \"London\", \"Amsterdam\". Leave empty for anywhere.", "items": { "type": "string" } }, "scraperMode": { "title": "Scraping mode", "enum": [ "short", "full" ], "type": "string", "description": "\"short\" returns a fast, basic card per company (name, industry, location, followers, summary). Use \"full\" for extended data if enabled on your plan.", "default": "short" }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Maximum number of companies to return per run.", "default": 20 }, "startPage": { "title": "Start page", "minimum": 1, "type": "integer", "description": "Results page to start from (1 = first page). Use with Maximum items to paginate deeper into the results.", "default": 1 } } }, "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 } } } } } } } } } } ```