Linkedin Company Profile Scraper

🧠 What does LinkedIn Company Profile Scraper?

A LinkedIn Company Profile Scraper is a specialized LinkedIn scraper and linkedin company scraper tool built for structured data extraction. This linkedin company profile scraping tool collects public information from LinkedIn Company Pages and returns it in structured JSON or CSV for CRM enrichment, lead generation, competitive intelligence, and programmatic SEO.

It functions as a scalable linkedin company data scraper, supporting slug-based URLs such as /company/microsoft/. For advanced workflows, this linkedin company extraction tool can operate in authenticated mode using your own cookies where permitted, enabling deeper structured company data extraction while remaining compliance-aware.

For teams evaluating bulk linkedin company scraper solutions or linkedin company automation tool workflows, this scraper supports batching, queues, and controlled execution environments.

🛠️ Support and Feedback

• 🐞 Bug reports: Open a ticket in the repository Issues section
• ✨ Custom solutions or feature requests: Contact our team 📧 Email: dev.scraperengine@gmail.com

📦 What LinkedIn Company Profile data can I extract?

Availability depends on public visibility, completeness, and whether you use public-only or authenticated mode.

If you're comparing a linkedin scraper api for companies, a linkedin company scraping api, or a linkedin company scraper github project, always review schema consistency and compliance handling.

🧩 Data Group	✅ Fields Extractable (examples)
Company Basics	company_name, universal_name_id (slug), about, tagline, industry, type, founded_year
Brand & Media	logo_url, background_cover_image_url, website, social_links (if public)
Size & Reach	follower_count, company_size, company_size_on_linkedin
Location	headquarters, locations[] → is_hq, address_line_1, address_line_2, map_link
Specialties	specialties[] keywords for SEO and targeting
People (Preview)	employees[] (limited public sample): name, title, profile_url, photo
Updates / Posts	updates[]: text, posted_at, reactions, post_url, attachments
Network Data	similar_companies[], affiliated_companies[]

🆓 If you’re exploring “linkedin Company Profile scraper free” or trial options, look for limits on number of URLs and post pagination.
🧩 If comparing apify linkedin company scraper, linkedin scraper python, or linkedin scraping software, validate output schema, rate control systems, and compliance safeguards.

🔧 Key Features of “LinkedIn Company Profile Scraper”

• Public & Auth Modes:  Run public-only or authenticated where permitted.
• Clean JSON Output: Normalized data ready for CRM, warehouse, or ETL.
• Scalable Batching: Designed for bulk linkedin automation scraping, allowing hundreds or thousands of URLs per run.
• Pagination Support: Fetch posts and previews in structured chunks.
• Rate Awareness: Throttling, retries, and proxy rotation to reduce detection risks.
• Error Handling: Clear logs and structured run metadata.
• Flexible Export: JSON, CSV, Excel, or direct API push.

Developers looking for a linkedin company scraper github workflow should ensure repositories respect compliance standards and do not expose credentials.

🏁 How to use LinkedIn Company Profile Scraper

Using the LinkedIn Company Profile Scraper is simple and doesn’t require advanced technical skills. Just follow these quick steps, and you’ll have structured company data ready to use in no time.

📌 Step-by-Step Guide

1. Log in to Apify – Create a free account or sign in to your existing one.

2. Select the Actor – Search for “LinkedIn Company Profile Scraper” in the Apify Store.

3. Enter Input Data – Paste one or multiple LinkedIn Company Profile URLs (slug format works best) into the urls field.

4. Choose Options – Decide if you want to include posts, employee previews, or similar companies. You can also toggle between public-only mode or add cookies for authenticated access.

5. Run the Actor – Hit Start, and the scraper will automatically fetch the company details.

6. Download Results – Export your results in JSON, CSV, Excel, or XML format—ready for use in CRMs, analytics, or SEO workflows. For automation teams, this setup can be embedded inside a linkedin bulk automation pipeline to sync data directly into CRM or BI systems.

🎯 Use Cases (Real-World Wins)

• Sales & SDR: Power linkedin company scraper for lead generation workflows. Extract company size, industry, HQ, and specialties for outreach scoring.
• Recruiting: Works alongside linkedin recruiter extractor environments. Validate hiring trends and footprint.
• Competitive Intelligence: Track follower growth and repositioning via structured company data.
• Content & SEO: Fuel programmatic SEO using data from linkedin company data scraper outputs.
• Market Research: Aggregate company-level metrics using bulk linkedin company scraper pipelines.
• RevOps: Sync structured outputs from your linkedin automation tool into CRM systems.

📌 For searches like linkedin sales navigator scraping, linkedin search export, or advanced automation use cases, carefully review ToS and legal considerations.

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🏆 Why choose us?

Compliance-first defaults: Encourages public-mode execution to reduce risk.

• Structured analytics-ready JSON: Ideal for linkedin company scraping software or linkedin data scraping service workflows.
• Scale without chaos: Supports scrape thousands of linkedin companies execution using distributed queues.
• Transparent telemetry: Run logs, skipped URLs, error summaries.
• Flexible stack compatibility: Works with open-source linkedin scraper python projects, API pipelines, or no-code environments such as apify linkedin company scraper.

📈 How many results can you scrape with “LinkedIn Company Profile Scraper”?

Company profiles: Scales to thousands per run using throttled large scale linkedin scraping configuration.

• Employees preview: Limited public data without login.
• Posts: Up to 100 per page, supports pagination.
• Similar pages: Returned when publicly available.

Teams evaluating linkedin company profile cost or enterprise linkedin scraping solution providers should assess compute, proxy, and storage usage.

⚡ For teams evaluating “linkedin Company Profile cost”: the main costs are run time, proxy usage, and compute/storage—not the data itself (which is public). Ask vendors for free tiers or usage-based models if you’re after “linkedin Company Profile scraper free.”

⚖️ Is it legal to scrape LinkedIn?

• Short answer: It depends on your jurisdiction, purpose, data type, access method, and LinkedIn’s Terms of Service.

• Best Practices ✅

• Collect publicly available data only; do not defeat access controls.

• Use your own credentials if you opt into authenticated mode; don’t share/sell login data.

• Respect ToS, robots, rate limits, and privacy laws (e.g., GDPR/CCPA).

• Provide opt-out/data deletion paths where applicable.

• Use data for legitimate, ethical purposes (analytics, research, enrichment).

🛡️ Legal caution is especially important for linkedin recruiter extractor, linkedin sales navigator scraping, and high-volume mass linkedin company extraction workflows.

🧪 Input

{
  "urls": [
    "https://www.linkedin.com/company/netflix"
  ]
}

📤 Output Format

{
    "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": 17834,
    "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",
        "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",
        "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_thinking-about-career-choices-activity-7415120002368102400-JmWP",
        "datePublished": "2026-01-08T19:59:34.809Z",
        "text": "Thinking about career choices..."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_we-see-very-exciting-things-in-your-future-activity-7414652149931851777-jZEv",
        "datePublished": "2026-01-07T13:00:30.096Z",
        "text": "We see very exciting things in your future.\n\nToday, Netflix — with a little help from a very powerful (and familiar) tarot reader — unveiled our highly anticipated 2026 slate of series, films and games that will keep you laughing, crying, gasping, screaming and so much more, all year long.\n\nOur 2026 slate has something for everyone, spanning hidden gems, surprising characters and new worlds that will keep us asking “What Next?”"
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_how-critics-choice-award-winner-jacob-elordi-activity-7414433329564889089-KwEw",
        "datePublished": "2026-01-06T22:30:59.260Z",
        "text": "How Critics Choice Award Winner Jacob Elordi & Guillermo del Toro's creative bond brought FRANKENSTEIN to life. \n\nFor your consideration - Best Supporting Actor. Watch now on Netflix."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_ces-just-around-the-corner-activity-7413984899126431744-YKF9",
        "datePublished": "2026-01-05T16:49:05.102Z",
        "text": "Nearly 70% of U.S. ads members tune in every week – giving us (super) fresh insights that help brands build connections and generate big impact. And with CES just around the corner, we thought we’d share what that looks like through a few of our favorite moments on the floor."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_nflonnetflix-activity-7412232343215865856-4SYd",
        "datePublished": "2025-12-31T20:45:03.224Z",
        "text": "#NFLonNetflix scores again with Lions-Vikings becoming the most-streamed NFL game in US history with viewership peaking at over 30M viewers. \n\nNetflix has now distributed the top three most-streamed NFL games in US history. "
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_cca-nominations-activity-7410733715632574464-BLGA",
        "datePublished": "2025-12-27T17:30:02.562Z",
        "text": "Netflix received 58 nominations (27 Film, 31 Series) for the 31st Critics Choice Awards with Frankenstein leading all film titles with 11 nominations and Adolescence leading all series titles with 6 nominations. \n\nCritics Choice Awards are bestowed annually to honor the finest in cinematic and television achievement. The 31st annual Critics Choice Awards will be handed out on Sunday, January 4, 2026 at Barker Hangar in Santa Monica. "
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_netflix-universe-x-nfl-activity-7409729607437926400-Wbbm",
        "datePublished": "2025-12-24T23:00:04.506Z",
        "text": "The gang's all here to watch NFL CHRISTMAS GAMEDAY! \n LIVE on Netflix December 25 starting @ 1PM ET"
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_golden-globe-nominations-activity-7409359660979466240-zDV9",
        "datePublished": "2025-12-23T22:30:02.397Z",
        "text": "Netflix topped the 83rd Golden Globe Awards nominations with 35 total nods—13 in film and 22 in series. Leading the charge are Frankenstein and Adolescence, each garnering 5 nominations. \n\nThis also marks the first Golden Globe nomination for Ashley Walters, Charlie Hunnam, Chris Appelhans, Erin Doherty, Jacob Elordi, Kevin Hart, Maggie Kang, Nick Cave, Owen Cooper, Rashida Jones, Stephen Graham, and “Golden” Songwriting Team: EJAE, Mark Sonnenblick, Joong Gyu Kwak, Yu Han Lee, Hee Dong Nam (IDO), Jeong Hoon Seon (24), Park Hong Jun (TEDDY). \n\nThe Golden Globe Awards recognizes excellence in global film and series productions. Winners will be announced during the 83rd Golden Globe Awards on Sunday, January 11, 2026 in Los Angeles."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_jakejoshua-activity-7409291722293145600-C-5M",
        "datePublished": "2025-12-23T18:00:04.558Z",
        "text": "The knockout heard around the world! 33 million viewers globally watched Jake Paul and Anthony Joshua’s six-round bout on Netflix. \n\n#JakeJoshua"
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_when-amelia-fry-attended-the-season-5-premiere-activity-7408551850494283777-LInf",
        "datePublished": "2025-12-21T17:00:05.372Z",
        "text": "When Amelia Fry attended the Season 5 premiere of Emily in Paris, it felt like a full-circle moment. Four years earlier, Mimi watched Emily Cooper bravely move to Paris and thought, “This is possible.” That inspiration sparked Mimi’s own leap — from Wolverhampton, England, to the City of Light.\n\nJust like Emily, Mimi encountered her share of challenges: language barriers, a tiny basement apartment near the Eiffel Tower, and the realities of adapting to a new country. Still, she chose to say yes to every opportunity, embracing new experiences and stepping into the unknown. In her own words: \"It was really inspiring to see her go for it, say yes to every opportunity, and just launch herself in. There wasn’t another character like her on TV.” \n\nAlong the way, Mimi built strong friendships and a support network that helped her adjust to life in Paris. \n\n For anyone needing a dose of inspiration, catch the new season of Emily in Paris — now streaming on Netflix!\n"
      }
    ],
    "error": ""
  }

🔗 What other LinkedIn scraping tools are there?

If you want to scrape specific LinkedIn data, you can use any of the dedicated scrapers below for faster and more targeted results.
Just enter profile URLs, company links, job search queries, or post URLs and start scraping instantly.

📄 LinkedIn Profile Post Scraper	⚡ LinkedIn Profile Scraper (Cheapest + Fastest)
📝 LinkedIn Post Scraper	📄 LinkedIn Company About Scraper
👥 LinkedIn Company Employees Scraper	💼 LinkedIn Search Jobs Scraper
📢 LinkedIn Ads Scraper	📋 LinkedIn Jobs Scraper
📰 LinkedIn Company Post Scraper	📧 LinkedIn Profile Email Scraper
📨 LinkedIn Email Scraper	📞 LinkedIn Phone Number Scraper
☎️ LinkedIn Profile Phone Number Scraper	🔓 LinkedIn Open Profile Status
👍 LinkedIn Post Reactions Scraper	📊 LinkedIn Profile and Company Posts Scraper

💬 FAQ

Is there a LinkedIn Company Profile Scraper free version?

Many tools offer limited trials. Review pagination caps.

What is the difference between a LinkedIn scraper and a company profile scraper extension?

A linkedin scraper tool operates server-side at scale. Extensions are browser-based and limited in automation.

Can I build a workflow using linkedin scraper python?

Yes. Search linkedin company scraper github and evaluate compliance, schema design, and rate controls.

Does this support Sales Navigator?

Extreme caution required for linkedin sales navigator scraping workflows.

Can I export CSV?

Yes. Most linkedin company scraping software supports CSV and JSON.

Does this integrate with apify linkedin company scraper?

Yes, if schema alignment is maintained.