Linkedin Company Profile Scraper

Linkedin Company Profile Scraper

Linkedin Company Profile Scraper is a purpose-built LinkedIn company page scraper that extracts structured, public data from LinkedIn organization pages and returns it in a clean JSON schema. It solves the manual, error-prone task of gathering firmographic and profile details by automating requests at scale, making it ideal for marketers, developers, data analysts, and researchers. With robust proxy fallback, live dataset streaming, and a normalized schema, this LinkedIn company data extractor enables repeatable, large-scale analysis and enrichment workflows.

What data / output can you get?

Below are real output fields the actor saves to the Apify Dataset for each company URL. Example values are taken from the included sample.

Data type	Description	Example value
inputUrl	The processed LinkedIn company URL	https://www.linkedin.com/company/netflix/
success	Indicates if the scrape succeeded	true
name	Company name	Netflix
description	Company “About” text	Netflix is one of the world's leading entertainment services...
website	Website URL extracted from JSON-LD	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	Logo URL (image)	https://media.licdn.com/dms/image/.../netflix_logo...
slogan	Tagline/slogan when available	Play, pause, and resume watching anytime and anywhere.
employeeCount	Number of employees (if present)	17554
industry	Industry (from About section)	Entertainment Providers
size	Company size range	10,001+ employees
founded	Founded year (int or string)	1997
headquarters	Headquarters text	Los Gatos, CA
type	Organization type	Public Company
location.city	City from JSON-LD address	Los Gatos
location.state	Region/state from JSON-LD address	CA
location.country	Country code from JSON-LD address	US
specialties	Array of specialties (if listed)	["Revolutionizing the way people watch TV shows and movies!"]
similarPages[].name	Name of a similar page	Spotify
similarPages[].link	URL of a similar page	https://www.linkedin.com/company/spotify?...
employees[].name	Public employee preview name (sample)	Aaron Hipple
employees[].title	Public employee preview title (sample)	Audio Software Engineer
employees[].link	Profile link (sample)	https://www.linkedin.com/in/aaronhipple?trk=org-employees
posts[].url	Company post URL (sample)	https://www.linkedin.com/posts/netflix_...
posts[].datePublished	Post timestamp	2025-09-24T15:00:15.442Z
posts[].text	Post text snippet	At the Venice Film Festival 2025, we proudly showcased...
error	Error message when a URL fails	HTTP 403

Notes:

• Posts are extracted from JSON-LD DiscussionForumPosting items and the tool returns up to 10 posts per company.
• Results are live-pushed per URL to the Apify Dataset and also written as a single array to the Key-Value Store under key "OUTPUT".
• You can export your dataset from the Apify platform in common formats for downstream use (e.g., JSON, CSV).

Key features

• ⚙️ Bold proxy fallback logic: Starts with your proxy (or direct), and if blocked (e.g., 403/407/429/999 or authwall redirects), automatically switches to Apify Residential Proxy and keeps using it for reliability.
• 🧩 JSON-LD + HTML hybrid parsing: Combines JSON-LD Organization data with structured “About” details to capture names, descriptions, addresses, industries, sizes, and more.
• 📥 Live dataset streaming: Each company URL is saved to the Apify Dataset as soon as it finishes, so you can start consuming results immediately.
• 🧵 Request queue & deduplication: Adds all input URLs to an Apify Request Queue for robust batching, persistence, and automatic de-duplication.
• 🔁 Resilient retries with backoff: Network-aware retry policy (exponential backoff) helps reduce transient errors and improve completion rates.
• 📦 Structured, analytics-ready schema: Normalized keys like name, industry, size, founded, headquarters, specialties, similarPages, employees, posts make analysis and BI mapping straightforward.
• 🔐 Public data focus: Designed as a LinkedIn corporate profile scraper that targets publicly available company pages—no login workflow included.
• 🛠️ Developer-friendly on Apify: Built with the Apify SDK and httpx, ready to plug into your existing automation and data pipelines.

How to use Linkedin Company Profile Scraper - step by step

1. Create or sign in to your Apify account.
2. Open the actor “linkedin-company-profile-scraper” on Apify.
3. Add input data:
   • Paste one or more LinkedIn company page URLs into the urls field (e.g., https://www.linkedin.com/company/netflix).
4. (Optional) Configure proxy:
   • Provide a Proxy configuration if you have one. If the run hits blocks, it will automatically fall back to Apify Residential.
5. Start the run:
   • The actor enqueues all URLs, processes them, and live-pushes each normalized result to the Dataset.
6. Monitor progress:
   • Check logs for proxy mode switches and per-URL status. Deduplication is handled by the Request Queue.
7. Download your results:
   • Open the run’s Dataset to preview and export. A full array is also stored under Key-Value Store key “OUTPUT”.

Pro Tip: For large lists, take advantage of the Request Queue’s de-duplication and the actor’s robust proxy fallback to maintain continuity in your scraping workflow.

Use cases

Use case name	Description
B2B research – firmographic enrichment	Enrich company records with industry, size, headquarters, and founded year using this LinkedIn firmographic data scraper.
Sales intelligence – account insights	Build account context by pulling slogans, descriptions, specialties, and similar pages with a LinkedIn business page scraper tool.
Market intelligence – competitor tracking	Monitor positioning and recent post snippets with a LinkedIn company insights scraper to inform strategy.
Recruiting – org overview checks	Validate company scale and HQ location to prioritize outreach with a LinkedIn company information scraper.
Data engineering – pipeline ingestion	Use the normalized JSON schema to feed warehousing/analytics, acting as a LinkedIn company details export stage.
Academic & policy research – datasets	Collect structured, public company profiles at scale with a LinkedIn organization page scraper for studies and reports.
Website & SEO – content ops	Leverage clean company descriptions and specialties to programmatically build assets using a LinkedIn company data extractor.

Why choose Linkedin Company Profile Scraper?

This LinkedIn corporate profile scraper is built for precision, resilience, and scale on Apify’s infrastructure.

• ✅ Accuracy-first parsing with JSON-LD + HTML signals for robust field coverage.
• 🔄 Automatic proxy fallback to Apify Residential for better success on public pages.
• 🧰 Structured, stable schema that fits analytics and enrichment pipelines out of the box.
• 📡 Live per-URL saving to Dataset plus a consolidated “OUTPUT” array in Key-Value Store.
• 📈 Queue-backed batching with de-duplication for reliable LinkedIn company list scraper workflows.
• 🛡️ Public-data focus for safer, compliant usage compared to risky browser extensions.
• 💻 Developer-ready foundation built on Apify SDK and httpx for integration into automation stacks.

In short, it’s a reliable LinkedIn company page scraper that outperforms brittle, manual approaches and unstable alternatives.

Is it legal / ethical to use Linkedin Company Profile Scraper?

Yes, when done responsibly. This actor is designed to scrape publicly available LinkedIn company pages and does not include a login or cookie-based workflow.

Guidelines to consider:

• Only collect data that is publicly accessible and avoid bypassing access controls.
• Observe applicable terms and policies and comply with regulations like GDPR or CCPA.
• Use results for legitimate purposes (analytics, research, enrichment) and respect privacy.
• Consult your legal team for edge cases or jurisdiction-specific guidance.

Input parameters & output format

Example JSON input

{
  "urls": [
    "https://www.linkedin.com/company/netflix"
  ],
  "proxy": {
    "useApifyProxy": true
  }
}

Parameters

Parameter	Type	Required	Default	Description
urls	array(string)	Yes	None (prefill example provided)	List of public LinkedIn company page URLs to process. Each URL is scraped independently and saved to the dataset as soon as it finishes.
proxy	object	No	None	Start with this proxy. If requests are blocked/rejected (e.g., 403/407/429/999 or authwall redirects), the actor switches to Apify Residential and keeps using it.

Example JSON output

[
  {
    "inputUrl": "https://www.linkedin.com/company/netflix/",
    "success": true,
    "name": "Netflix",
    "description": "Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.",
    "location": {
      "city": "Los Gatos",
      "state": "CA",
      "country": "US"
    },
    "employeeCount": 17554,
    "website": "https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin",
    "logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_200_200/company-logo_200_200/0/1736276678240/netflix_logo?e=2147483647&v=beta&t=-84GbYZIgL-lNtKMkXAk-OE1L6VJVMfBSLJRG8FLkVY",
    "slogan": "Play, pause, and resume watching anytime and anywhere. ",
    "industry": "Entertainment Providers",
    "size": "10,001+ employees",
    "founded": 1997,
    "headquarters": "Los Gatos, CA",
    "type": "Public Company",
    "specialties": [
      "Revolutionizing the way people watch TV shows and movies!"
    ],
    "similarPages": [
      {
        "link": "https://se.linkedin.com/company/spotify?trk=similar-pages",
        "name": "Spotify"
      },
      {
        "link": "https://www.linkedin.com/company/google?trk=similar-pages",
        "name": "Google"
      },
      {
        "link": "https://www.linkedin.com/company/amazon?trk=similar-pages",
        "name": "Amazon"
      },
      {
        "link": "https://www.linkedin.com/company/meta?trk=similar-pages",
        "name": "Meta"
      },
      {
        "link": "https://www.linkedin.com/company/apple?trk=similar-pages",
        "name": "Apple"
      },
      {
        "link": "https://www.linkedin.com/company/microsoft?trk=similar-pages",
        "name": "Microsoft"
      },
      {
        "link": "https://www.linkedin.com/company/the-walt-disney-company?trk=similar-pages",
        "name": "The Walt Disney Company"
      },
      {
        "link": "https://www.linkedin.com/company/airbnb?trk=similar-pages",
        "name": "Airbnb"
      },
      {
        "link": "https://www.linkedin.com/company/warner-bros-discovery?trk=similar-pages",
        "name": "Warner Bros. Discovery"
      },
      {
        "link": "https://www.linkedin.com/company/tiktok?trk=similar-pages",
        "name": "TikTok"
      }
    ],
    "employees": [
      {
        "link": "https://www.linkedin.com/in/aaronhipple?trk=org-employees",
        "name": "Aaron Hipple",
        "title": "Audio Software Engineer",
        "image": "https://media.licdn.com/dms/image/v2/C4E03AQH_rhYlmsE33Q/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1516155809223?e=2147483647&v=beta&t=AOI83o_TV-HDY0dY3mTP9cgUFihsic0NL5HdYEE3VOw"
      },
      {
        "link": "https://www.linkedin.com/in/suki996?trk=org-employees",
        "name": "Liz Thompson",
        "title": "Finance Ops & Innovation (Systems, Reporting & Analytics)",
        "image": "https://media.licdn.com/dms/image/v2/D5603AQGsHR0R5JpKHA/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1723703172354?e=2147483647&v=beta&t=L88QQS1cU02rvqpzNyuW6_P0LparOkVftaEEyi_XrwI"
      },
      {
        "link": "https://www.linkedin.com/in/lauren-thorpe?trk=org-employees",
        "name": "Lauren Thorpe",
        "image": "https://media.licdn.com/dms/image/v2/C5603AQEv1a_XdVd2_Q/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1663272882989?e=2147483647&v=beta&t=u7j491nClvWyjLzH2ee-aKbYFEnLsbcthtnCUPCBSPA"
      },
      {
        "link": "https://www.linkedin.com/in/robert-armstrong-28b19?trk=org-employees",
        "name": "Robert Armstrong",
        "image": "https://media.licdn.com/dms/image/v2/C4E03AQETpZtjtSFjDg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1516159873708?e=2147483647&v=beta&t=a7Dz4mZUejIo7FCQzk9tWMipbMWNbuvNC4MDmYahMIg"
      }
    ],
    "posts": [
      {
        "url": "https://www.linkedin.com/posts/netflix_venicefilmfestival-dreamteam-activity-7376631561569484801-JgLk",
        "datePublished": "2025-09-24T15:00:15.442Z",
        "text": "At the Venice Film Festival 2025, we proudly showcased 4 World Premieres, including 3 in official competition as well as “Il Mostro,” the Netflix TV series directed by Stefano Sollima. \n\nBoth \"Frankenstein\" and \"A House of Dynamite\" captivated audiences, with \"Frankenstein\" receiving a remarkable 15-minute standing ovation and \"A House of Dynamite\" earning an equally impressive 13-minute standing ovation. Esteemed directors like Guillermo del Toro, Kathryn Bigelow, and Noah Baumbach also contributed to a memorable festival experience.\n\nA heartfelt thank you to everyone at Netflix who worked tirelessly to make this success possible as we continue our commitment to quality filmmaking and strengthening our connections within the Italian cinema landscape.\uD83C\uDF1F \n\n#VeniceFilmFestival #DreamTeam"
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_at-the-ibc-conference-netflixs-victor-marti-activity-7376315014845976577-DnUe",
        "datePublished": "2025-09-23T18:02:24.816Z",
        "text": "At the IBC Conference, Netflix's Victor Marti Farres and VANCOUVER MEDIA SL's Miguel Amoedo showcased how our collaboration with world-class creators enables groundbreaking work. From pioneering the shift to RED cameras and HDR for Money Heist to navigating virtual production challenges in Sky Rojo, our goal is to empower storytellers to push creative boundaries.\n\nNetflix is committed to being an additive force in the entertainment industry, raising the bar for quality content. By integrating AI and digital twins, we streamline production and enhance creative flexibility, allowing creators to focus on what they do best.\n\nAs the industry evolves, our mission remains clear: to collaborate with top talent and foster an environment where innovation thrives, driving a rising tide that lifts all boats."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_excited-to-announce-that-netflix-and-ab-inbev-activity-7375891726919708672-wCl9",
        "datePublished": "2025-09-22T14:00:25.115Z",
        "text": "Excited to announce that Netflix and AB InBev have joined forces in a groundbreaking global partnership, combining iconic beer brands and top-notch entertainment. \n\nThis multi-year collaboration will enhance experiences for fans worldwide, featuring co-marketing campaigns, title integrations, and live events. Expect unique campaigns around Netflix hits like \"The Gentlemen\" and major events, including the 2027 Women's World Cup. \n\nCheers to deeper connections and unforgettable moments! \n"
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_were-big-fans-of-the-sunnot-only-does-it-activity-7375566995456544768-RsSd",
        "datePublished": "2025-09-21T16:30:03.079Z",
        "text": "We’re big fans of the sun—not only does it brighten our day, but it also offers a clean, infinite source of energy. It’s the future.\n\nFrom Stranger Things to Ransom Canyon, Netflix is using solar to power its productions around the world and in our studios. Through solar trailers and battery systems, we're creating renewable energy microgrids that reduce noise and pollution while providing our crews with enhanced flexibility—a win-win!\n\nToday, we celebrate our main star, the sun, and its vital role in shaping a cleaner future. Join us in honoring solar energy and the sun’s contribution to many of our most beloved titles."
      }
    ],
    "error": ""
  }
]

Notes:

• Some nested fields (e.g., employees[].title) may be missing if not publicly available. In those cases, the field is simply omitted in that item.

Related tools

🔗 Tool	🔗 Tool
🎯 LinkedIn Ads Scraper	💼 LinkedIn Search Jobs Scraper
👥 LinkedIn Company Employees Scraper	📝 LinkedIn Post Scraper
🧾 LinkedIn Company About Scraper	👤 LinkedIn Profile Scraper [Cheapest + Fastest]

FAQ

Is there a free trial?

Yes. This actor listing includes 120 trial minutes, so you can test the LinkedIn company URL scraper on a sample list before subscribing.

Does it require login or cookies?

No. This LinkedIn organization page scraper targets publicly available company pages and does not include an authenticated mode.

What fields does it extract from LinkedIn company pages?

It returns structured fields like name, description, industry, size, founded, headquarters, type, website, logo, specialties, a limited public employees sample, similar pages, and up to 10 recent posts, plus status flags like success and error.

How does proxy handling work?

It starts with your selected proxy (or direct if none is provided). If requests are blocked (e.g., 403/407/429/999 or authwall redirects), it automatically falls back to Apify Residential Proxy and continues with it for the remainder of the run.

Can it scrape Sales Navigator or private data?

No. This LinkedIn company information scraper focuses on public organization pages. It’s not a Sales Navigator company scraper and does not access private or authenticated data.

How many company URLs can I process?

It’s built for batching. The actor uses an Apify Request Queue to de-duplicate and process large lists reliably, live-saving each result to the Dataset as it completes.

Can I export results to CSV or JSON?

Yes. Runs save to the Apify Dataset and a consolidated array under Key-Value Store key “OUTPUT.” From the Dataset, you can export results in common formats (including JSON and CSV) for downstream use.

Does it include employees and posts?

Yes, as public previews. The employees array returns a limited sample when available, and posts are extracted from JSON-LD (up to 10 items), each with url, datePublished, and text.

Closing CTA / Final thoughts

Linkedin Company Profile Scraper is built to reliably scrape LinkedIn company profiles and deliver structured, analytics-ready outputs at scale. With proxy fallback, resilient retries, and a normalized schema, it helps sales teams, marketers, analysts, and researchers turn public LinkedIn company pages into actionable datasets. Developers can integrate its Apify-native outputs into pipelines, using the Dataset and Key-Value Store for automation. Start extracting smarter with a LinkedIn company list scraper that’s robust, scalable, and ready for production.