# LinkedIn Company Scraper — Details & Posts ✅ No Cookies (`neuralverge/neuralverge-linkedin-company`) Actor Extract LinkedIn company data in bulk — name, size, HQ, locations, specialties, employees and posts — from a company URL. Pay only for companies found. No cookies or account required. - **URL**: https://apify.com/neuralverge/neuralverge-linkedin-company.md - **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Scraper — Details & Posts ✅ No Cookies Extract structured **LinkedIn company data** — name, tagline, about, website, industry, size, follower count, HQ, all office locations, specialties, employees and recent posts — from a company URL. Powered by the Neuralverge API. **No cookies or account required**, and **you only pay for companies we actually find**. Ideal for lead generation, market and competitor research, CRM enrichment, and feeding company data to AI agents. ### ✨ Why this Actor - 💸 **Pay only for the companies you get** — unresolved URLs are skipped and never billed. Misses are free; no empty, billable rows. - 🍪 **No cookies, login or account** — never share LinkedIn credentials or risk account restrictions. Extraction runs on the Neuralverge backend. - 🏢 **Full firmographics** — size, followers, founded year, HQ, every office location, specialties, sample employees and posts, flattened into clean columns. - ⚡ **Real-time & structured** — fresh data each run and one predictable schema, ready for a spreadsheet, database, CRM or AI pipeline. ### 🔧 How it works 1. **Provide a LinkedIn company URL** (e.g. `https://www.linkedin.com/company/ibm`). 2. **Run the Actor.** The heavy lifting — fetching and AI-structuring the profile — happens on the Neuralverge backend. 3. **Get one dataset row per company**, with all fields flattened to top-level columns. Export to CSV, JSON, or Excel, or pull it over the Apify API. If the company can't be resolved, it's logged and **skipped without charge** — you're not billed for that run. ### Input One company per run. | Field | Type | Notes | |---|---|---| | `linkedinUrl` | string | The LinkedIn company profile URL. | | `countryCode` | string | Geo-routing code (advanced, default `us`). | | `finalizerModel` | string | Extraction model (advanced). | ```json { "linkedinUrl": "https://www.linkedin.com/company/ibm" } ```` ### What you'll receive Each row includes, when available on the profile: - **Identity** — `company_name`, `tagline`, `about`, `website`, `linkedin_url` - **Firmographics** — `industry`, `company_size`, `employee_count`, `founded_year`, `follower_count` - **Locations** — `headquarters` (city / state / country / full address) plus a flat `headquartersText`, and the full `locations` array (with `locationsCount`) - **Specialties** — `specialties` array plus a flat `specialtiesText` - **Signals** — `employees` (sample), `jobs` (open roles) and `posts` (recent activity), with `employeesCount`, `jobsCount` and `postsCount` helper columns - **Meta** — `query` (input URL) and `scrapedAt`, the markdown summary under `human`, and the complete backend response under `raw` — which carries the machine-readable result at `raw.machine` and the extraction JSON Schema at `raw.settings.extract_schema_json` > **Nulls & empty arrays are normal.** Only fields present on the live profile are filled — > e.g. `tagline` and `founded_year` can be `null`, and `employees` / `jobs` / `posts` may > come back as empty arrays (LinkedIn does not always expose them) even for a large company. > `company_size` is the raw range string as shown on LinkedIn (e.g. `"10000+"`). #### Example output (real run) A real dataset row from `https://il.linkedin.com/company/ibm`, shown **in full** — including the complete extraction **schema** (`raw.settings.extract_schema_json`) and the full **machine-readable result** (`raw.machine`). The `human` markdown summary is omitted here only for brevity; it is returned on every real row. ```json { "query": "https://il.linkedin.com/company/ibm", "scrapedAt": "2026-07-18T12:00:00.000Z", "company_name": "IBM", "tagline": null, "about": "At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you.\n\nWe're here to help every creator turn their \"what if\" into what is. Let's create something that will change everything.", "website": "http://www.ibm.com", "linkedin_url": "https://www.linkedin.com/company/ibm", "industry": "IT Services and IT Consulting", "company_size": "10000+", "employee_count": 338814, "headquarters": { "city": "Armonk", "state": "New York", "country": "United States", "full_address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US" }, "founded_year": null, "specialties": [ "Analytics", "Commerce", "Research", "Financing", "Consulting", "IT infrastructure", "Experience Design", "Cloud", "Security", "Internet of Things", "Mobile", "Cognitive", "Technology support", "Watson", "Industry solutions", "Resiliency services", "Systems services" ], "follower_count": 19737229, "locations": [ { "address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US", "city": "Armonk", "state": "New York", "country": "United States" }, { "address": "590 Madison Ave, New York, NY 10022, US", "city": "New York", "state": "NY", "country": "United States" }, { "address": "90 Grayston Dr, Sandton, Gauteng 2196, ZA", "city": "Sandton", "state": "Gauteng", "country": "South Africa" }, { "address": "Plaza Independencia 721, Montevideo, 11000, UY", "city": "Montevideo", "state": "Montevideo", "country": "Uruguay" }, { "address": "388 Phahon Yothin Road, Phaya Thai, Bangkok City 10400, TH", "city": "Phaya Thai", "state": "Bangkok City", "country": "Thailand" }, { "address": "Jalan Prof. Dr. Latumenten, Jakarta Barat, Jakarta 11330, ID", "city": "Jakarta", "state": "Jakarta Barat", "country": "Indonesia" }, { "address": "30 S 17th St, Philadelphia, PA 19103, US", "city": "Philadelphia", "state": "PA", "country": "United States" }, { "address": "60 City Rd, Melbourne, VIC 3006, AU", "city": "Melbourne", "state": "VIC", "country": "Australia" }, { "address": "V Parku 2294/4, Prague, Prague 148 00, CZ", "city": "Prague", "state": "Prague", "country": "Czech Republic" }, { "address": "9 Changi Business Park Central 1, Singapore, Singapore 486048, SG", "city": "Singapore", "state": "Singapore", "country": "Singapore" }, { "address": "Via Sciangai, Rome, Laz. 00144, IT", "city": "Rome", "state": "Laz.", "country": "Italy" }, { "address": "Nahmitzer Damm 12, Berlin, BE 12277, DE", "city": "Berlin", "state": "BE", "country": "Germany" }, { "address": "3031 N Rocky Point Dr W, Tampa, FL 33607, US", "city": "Tampa", "state": "FL", "country": "United States" }, { "address": "First Avenue, Petaling Jaya, Selangor 47800, MY", "city": "Petaling Jaya", "state": "Selangor", "country": "Malaysia" }, { "address": "Laajalahdentie 23, Helsinki, Southern Finland 00330, FI", "city": "Helsinki", "state": "Southern Finland", "country": "Finland" }, { "address": "Carrera 53 100-25, Bogota, Bogota, D.C. 111111, CO", "city": "Bogota", "state": "Bogota, D.C.", "country": "Colombia" }, { "address": "Presnenskaya naberezhnaya 10, Moscow, Central Federal District 123112, RU", "city": "Moscow", "state": "Central Federal District", "country": "Russia" }, { "address": "3 Road, Dubai, Dubai, AE", "city": "Dubai", "state": "Dubai", "country": "United Arab Emirates" }, { "address": "71 S Wacker Dr, Chicago, IL 60606, US", "city": "Chicago", "state": "IL", "country": "United States" }, { "address": "50 Rue de Picpus, Paris, IdF 75012, FR", "city": "Paris", "state": "IdF", "country": "France" }, { "address": "Mlynske nivy 16688/49, Bratislava, Bratislava 821 09, SK", "city": "Bratislava", "state": "Bratislava", "country": "Slovakia" }, { "address": "Shuhada'A Street, Kuwait City, Kuwait City, KW", "city": "Kuwait City", "state": "Kuwait City", "country": "Kuwait" }, { "address": "Vasant Kunj Road, Delhi, Delhi 110070, IN", "city": "Delhi", "state": "Delhi", "country": "India" }, { "address": "Avenida Pasteur, 138, Rio de Janeiro, RJ 22290-240, BR", "city": "Rio de Janeiro", "state": "RJ", "country": "Brazil" }, { "address": "284 Leoforos Kifisias, Chalandri, Attica 152 32, GR", "city": "Chalandri", "state": "Attica", "country": "Greece" }, { "address": "14212 Cochran Rd SW, Huntsville, AL 35824, US", "city": "Huntsville", "state": "AL", "country": "United States" }, { "address": "Carretera al Castillo, El Salto, JAL 45680, MX", "city": "El Salto", "state": "JAL", "country": "Mexico" }, { "address": "Calle de Corazon de Maria, 44, Madrid, Community of Madrid 28002, ES", "city": "Madrid", "state": "Community of Madrid", "country": "Spain" }, { "address": "Technicka 2995/21, Brno, South Moravia 612 00, CZ", "city": "Brno", "state": "South Moravia", "country": "Czechia" }, { "address": "150 Kettletown Rd, Southbury, CT 06488, US", "city": "Southbury", "state": "CT", "country": "United States" }, { "address": "601 Pacific Hwy, Sydney, NSW 2065, AU", "city": "Sydney", "state": "NSW", "country": "Australia" }, { "address": "505 Howard St, San Francisco, CA 94105, US", "city": "San Francisco", "state": "CA", "country": "United States" }, { "address": "600 14th St NW, Washington, DC 20005, US", "city": "Washington", "state": "DC", "country": "United States" }, { "address": "7100 Highlands Pkwy SE, Smyrna, GA 30082, US", "city": "Smyrna", "state": "GA", "country": "United States" }, { "address": "1000 Belleview St, Dallas, TX 75215, US", "city": "Dallas", "state": "TX", "country": "United States" } ], "employees": [], "jobs": [], "posts": [], "headquartersText": "Armonk, New York, United States", "specialtiesText": "Analytics, Commerce, Research, Financing, Consulting, IT infrastructure, Experience Design, Cloud, Security, Internet of Things, Mobile, Cognitive, Technology support, Watson, Industry solutions, Resiliency services, Systems services", "locationsCount": 35, "employeesCount": 0, "jobsCount": 0, "postsCount": 0, "raw": { "session_id": "db713e98-9387-408f-a633-b6461d5b9b87", "kind": "extract", "url": "https://il.linkedin.com/company/ibm", "used_url": "https://il.linkedin.com/company/ibm", "instructions": "Extract data from Linkedin company profile\n- Company name\n- Tagline\n- About\n- Website\n- Linkedin url\n- Industry\n- Company size\n- Employee count\n- Founded year\n- Follower count\n- Headquarters\n- Locations\n- Employees\n- Specialties\n- Jobs\n- Posts", "settings": { "has_schema": true, "country_code": "us", "extract_schema_json": { "type": "object", "properties": { "company_name": { "type": "string", "description": "The official name of the company." }, "tagline": { "type": "string", "description": "The company's slogan or a brief one-line description found under the company name." }, "about": { "type": "string", "description": "The full text from the 'About' section of the company profile." }, "website": { "type": "string", "format": "uri", "description": "The official website URL of the company." }, "linkedin_url": { "type": "string", "format": "uri", "description": "The LinkedIn company profile URL." }, "industry": { "type": "string", "description": "The primary industry the company operates in." }, "company_size": { "type": "string", "description": "The range of employees in the company (e.g., '51-200 employees')." }, "employee_count": { "type": "integer", "description": "The exact number of employees if available." }, "headquarters": { "type": "object", "description": "The primary office or headquarters location.", "properties": { "city": { "type": "string" }, "state": { "type": "string" }, "country": { "type": "string" }, "full_address": { "type": "string", "description": "The full address of the headquarters." } } }, "founded_year": { "type": "integer", "description": "The year the company was founded." }, "specialties": { "type": "array", "description": "A list of the company's specialties or areas of expertise.", "items": { "type": "string" } }, "follower_count": { "type": "integer", "description": "The total number of followers the company has on LinkedIn." }, "locations": { "type": "array", "description": "A list of all company office locations mentioned on the profile.", "items": { "type": "object", "properties": { "address": { "type": "string", "description": "The full street address of the office location." }, "city": { "type": "string" }, "state": { "type": "string" }, "country": { "type": "string" } } } }, "employees": { "type": "array", "description": "List of employees associated with the company.", "items": { "type": "object", "properties": { "employee_id": { "type": "string", "description": "Unique identifier of the employee if available." }, "full_name": { "type": "string", "description": "Employee full name." }, "linkedin_url": { "type": "string", "format": "uri", "description": "Link to the employee LinkedIn profile." } }, "required": [ "full_name" ] } }, "jobs": { "type": "array", "description": "A list of currently open job positions advertised on the company's LinkedIn page.", "items": { "type": "object", "properties": { "title": { "type": "string", "description": "The title of the job position." }, "location": { "type": "string", "description": "The location of the job." }, "employment_type": { "type": "string", "description": "Full-time, Part-time, Contract, Internship, etc." }, "posted_date": { "type": "string", "format": "date-time", "description": "Date when the job was posted." }, "url": { "type": "string", "format": "uri", "description": "A direct link to the job posting." } }, "required": [ "title" ] } }, "posts": { "type": "array", "description": "Posts published by the company on LinkedIn.", "items": { "type": "object", "properties": { "post_id": { "type": "string", "description": "Unique post identifier." }, "url": { "type": "string", "format": "uri", "description": "Direct URL to the post." }, "published_at": { "type": "string", "format": "date-time", "description": "Date and time when the post was published." }, "author": { "type": "string", "description": "Author or company account that published the post." }, "content": { "type": "string", "description": "Full text content of the post." }, "hashtags": { "type": "array", "items": { "type": "string" }, "description": "Hashtags used in the post." }, "mentions": { "type": "array", "items": { "type": "string" }, "description": "Mentioned users, companies, or organizations." }, "media": { "type": "array", "description": "Attached media assets.", "items": { "type": "object", "properties": { "type": { "type": "string", "enum": [ "image", "video", "document", "link", "carousel" ] }, "url": { "type": "string", "format": "uri" } } } }, "engagement": { "type": "object", "properties": { "likes": { "type": "integer" }, "comments": { "type": "integer" }, "reposts": { "type": "integer" }, "shares": { "type": "integer" } } } }, "required": [ "post_id", "content" ] } } }, "required": [ "company_name" ] } }, "machine": { "company_name": "IBM", "tagline": null, "about": "At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you.\n\nWe're here to help every creator turn their \"what if\" into what is. Let's create something that will change everything.", "website": "http://www.ibm.com", "linkedin_url": "https://www.linkedin.com/company/ibm", "industry": "IT Services and IT Consulting", "company_size": "10000+", "employee_count": 338814, "headquarters": { "city": "Armonk", "state": "New York", "country": "United States", "full_address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US" }, "founded_year": null, "specialties": [ "Analytics", "Commerce", "Research", "Financing", "Consulting", "IT infrastructure", "Experience Design", "Cloud", "Security", "Internet of Things", "Mobile", "Cognitive", "Technology support", "Watson", "Industry solutions", "Resiliency services", "Systems services" ], "follower_count": 19737229, "locations": [ { "address": "International Business Machines Corp., New Orchard Road, Armonk, New York, NY 10504, US", "city": "Armonk", "state": "New York", "country": "United States" }, { "address": "590 Madison Ave, New York, NY 10022, US", "city": "New York", "state": "NY", "country": "United States" }, { "address": "90 Grayston Dr, Sandton, Gauteng 2196, ZA", "city": "Sandton", "state": "Gauteng", "country": "South Africa" }, { "address": "Plaza Independencia 721, Montevideo, 11000, UY", "city": "Montevideo", "state": "Montevideo", "country": "Uruguay" }, { "address": "388 Phahon Yothin Road, Phaya Thai, Bangkok City 10400, TH", "city": "Phaya Thai", "state": "Bangkok City", "country": "Thailand" }, { "address": "Jalan Prof. Dr. Latumenten, Jakarta Barat, Jakarta 11330, ID", "city": "Jakarta", "state": "Jakarta Barat", "country": "Indonesia" }, { "address": "30 S 17th St, Philadelphia, PA 19103, US", "city": "Philadelphia", "state": "PA", "country": "United States" }, { "address": "60 City Rd, Melbourne, VIC 3006, AU", "city": "Melbourne", "state": "VIC", "country": "Australia" }, { "address": "V Parku 2294/4, Prague, Prague 148 00, CZ", "city": "Prague", "state": "Prague", "country": "Czech Republic" }, { "address": "9 Changi Business Park Central 1, Singapore, Singapore 486048, SG", "city": "Singapore", "state": "Singapore", "country": "Singapore" }, { "address": "Via Sciangai, Rome, Laz. 00144, IT", "city": "Rome", "state": "Laz.", "country": "Italy" }, { "address": "Nahmitzer Damm 12, Berlin, BE 12277, DE", "city": "Berlin", "state": "BE", "country": "Germany" }, { "address": "3031 N Rocky Point Dr W, Tampa, FL 33607, US", "city": "Tampa", "state": "FL", "country": "United States" }, { "address": "First Avenue, Petaling Jaya, Selangor 47800, MY", "city": "Petaling Jaya", "state": "Selangor", "country": "Malaysia" }, { "address": "Laajalahdentie 23, Helsinki, Southern Finland 00330, FI", "city": "Helsinki", "state": "Southern Finland", "country": "Finland" }, { "address": "Carrera 53 100-25, Bogota, Bogota, D.C. 111111, CO", "city": "Bogota", "state": "Bogota, D.C.", "country": "Colombia" }, { "address": "Presnenskaya naberezhnaya 10, Moscow, Central Federal District 123112, RU", "city": "Moscow", "state": "Central Federal District", "country": "Russia" }, { "address": "3 Road, Dubai, Dubai, AE", "city": "Dubai", "state": "Dubai", "country": "United Arab Emirates" }, { "address": "71 S Wacker Dr, Chicago, IL 60606, US", "city": "Chicago", "state": "IL", "country": "United States" }, { "address": "50 Rue de Picpus, Paris, IdF 75012, FR", "city": "Paris", "state": "IdF", "country": "France" }, { "address": "Mlynske nivy 16688/49, Bratislava, Bratislava 821 09, SK", "city": "Bratislava", "state": "Bratislava", "country": "Slovakia" }, { "address": "Shuhada'A Street, Kuwait City, Kuwait City, KW", "city": "Kuwait City", "state": "Kuwait City", "country": "Kuwait" }, { "address": "Vasant Kunj Road, Delhi, Delhi 110070, IN", "city": "Delhi", "state": "Delhi", "country": "India" }, { "address": "Avenida Pasteur, 138, Rio de Janeiro, RJ 22290-240, BR", "city": "Rio de Janeiro", "state": "RJ", "country": "Brazil" }, { "address": "284 Leoforos Kifisias, Chalandri, Attica 152 32, GR", "city": "Chalandri", "state": "Attica", "country": "Greece" }, { "address": "14212 Cochran Rd SW, Huntsville, AL 35824, US", "city": "Huntsville", "state": "AL", "country": "United States" }, { "address": "Carretera al Castillo, El Salto, JAL 45680, MX", "city": "El Salto", "state": "JAL", "country": "Mexico" }, { "address": "Calle de Corazon de Maria, 44, Madrid, Community of Madrid 28002, ES", "city": "Madrid", "state": "Community of Madrid", "country": "Spain" }, { "address": "Technicka 2995/21, Brno, South Moravia 612 00, CZ", "city": "Brno", "state": "South Moravia", "country": "Czechia" }, { "address": "150 Kettletown Rd, Southbury, CT 06488, US", "city": "Southbury", "state": "CT", "country": "United States" }, { "address": "601 Pacific Hwy, Sydney, NSW 2065, AU", "city": "Sydney", "state": "NSW", "country": "Australia" }, { "address": "505 Howard St, San Francisco, CA 94105, US", "city": "San Francisco", "state": "CA", "country": "United States" }, { "address": "600 14th St NW, Washington, DC 20005, US", "city": "Washington", "state": "DC", "country": "United States" }, { "address": "7100 Highlands Pkwy SE, Smyrna, GA 30082, US", "city": "Smyrna", "state": "GA", "country": "United States" }, { "address": "1000 Belleview St, Dallas, TX 75215, US", "city": "Dallas", "state": "TX", "country": "United States" } ], "employees": [], "jobs": [], "posts": [] }, "total_points": 5, "duration_ms": 12312 } } ``` > Genuine output from a live run. Note the real-world gaps: `tagline` and `founded_year` are > `null`, and `employees` / `jobs` / `posts` came back empty for this profile — while all 35 > office `locations` and 17 `specialties` are populated. Both the extraction **schema** > (`raw.settings.extract_schema_json`) and the **machine-readable result** (`raw.machine`, > also flattened into the columns above) travel with every row. ### Pricing Pay per result — **$0.005 per company** ($5 per 1,000) returned to the dataset. **You pay only for rows returned — misses are free.** | Event | Price | |---|---| | Actor start | Free | | Company returned (per dataset row) | **$0.005** | Companies that can't be resolved 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 to give an AI agent live company data. ### FAQ **Do I need a LinkedIn account or cookies?** No. Extraction runs on the Neuralverge backend — you never provide credentials or a session. **Am I charged if a company isn't found?** No. You're billed only for rows returned to the dataset. Unresolved URLs are logged and skipped. **How fresh is the data?** Each run fetches the profile at run time. *** **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 ## `linkedinUrl` (type: `string`): The LinkedIn company profile URL to extract (one per run). ## Actor input object example ```json { "linkedinUrl": "https://www.linkedin.com/company/ibm" } ``` # Actor output Schema ## `results` (type: `string`): Structured LinkedIn company data (name, industry, size, HQ, specialties, followers), one row per matched URL. # 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 = { "linkedinUrl": "https://www.linkedin.com/company/ibm" }; // Run the Actor and wait for it to finish const run = await client.actor("neuralverge/neuralverge-linkedin-company").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 = { "linkedinUrl": "https://www.linkedin.com/company/ibm" } # Run the Actor and wait for it to finish run = client.actor("neuralverge/neuralverge-linkedin-company").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 '{ "linkedinUrl": "https://www.linkedin.com/company/ibm" }' | apify call neuralverge/neuralverge-linkedin-company --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=neuralverge/neuralverge-linkedin-company", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Scraper — Details & Posts ✅ No Cookies", "description": "Extract LinkedIn company data in bulk — name, size, HQ, locations, specialties, employees and posts — from a company URL. Pay only for companies found. No cookies or account required.", "version": "0.1", "x-build-id": "a5zEwU7NR6GQEkRn5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/neuralverge~neuralverge-linkedin-company/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-neuralverge-neuralverge-linkedin-company", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/neuralverge~neuralverge-linkedin-company/runs": { "post": { "operationId": "runs-sync-neuralverge-neuralverge-linkedin-company", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/neuralverge~neuralverge-linkedin-company/run-sync": { "post": { "operationId": "run-sync-neuralverge-neuralverge-linkedin-company", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "linkedinUrl": { "title": "LinkedIn company URL", "type": "string", "description": "The LinkedIn company profile URL to extract (one per run)." } } }, "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 } } } } } } } } } } ```