Linkedin Company Profile Scraper

🧠 What does LinkedIn Company Profile Scraper?

A LinkedIn Company Profile Scraper is a specialized data extraction tool that collects public information from LinkedIn Company Profiles and returns it in structured JSON (or CSV) for CRM enrichment, lead gen, competitive intelligence, and programmatic SEO. It works with slug-based URLs (e.g., /company/microsoft/) and can optionally use authenticated mode (with your own cookies) where permitted to access additional fields.

📦 What LinkedIn Company Profile data can I extract?

Availability depends on public visibility, page completeness, and whether you use public-only or authenticated mode (always comply with ToS and laws).

🧩 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 you’re comparing “apify linkedin company scraper” vs “linkedin scraper python” on GitHub, check output schema, rate controls, and compliance toggles.

🔧 H3: Key Features of “LinkedIn Company Profile Scraper”

• Public & Auth Modes: Run public-only (no login) or authenticated (with your own cookies) where permitted.

• Clean JSON Output: Normalized fields ready for Salesforce/HubSpot, data warehouses, or Google Sheets.

• Scalable Batching: Process hundreds to thousands of company URLs via queues.

• Pagination Support: Fetch pages of posts and people previews in chunks.

• Rate Awareness: Throttling, proxy support, and retries to reduce blocks.

• Error Handling: Clear logs, skipped items, and run metadata.

• Enrichment-Ready: Append geocoding links, domain mapping, and similar page lists.

• Flexible Export: JSON / CSV download or direct API/warehouse push.

🧰 If you’re a developer searching “linkedin company scraper github”, verify that the repo doesn’t expose credentials, supports schema versioning, and respects platform rules.

🏁 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.

🎯 Use Cases (Real-World Wins)

• Sales & SDR 💼: Enrich accounts with industry, size, HQ, specialties to upgrade ICP scoring and personalize outreach.

• Recruiting 🧑‍💻: Validate headcounts, locations, and recent posts to tailor pitches.

• Competitive Intel 🕵️: Track taglines, repositioning, follower growth, and similar companies.

• Content & SEO 🧠: Build programmatic pages using industries, locations, and specialties; mine updates for content angles.

• Partnerships & BD 🤝: Confirm company type (public/private), founded year, HQ for due diligence.

• Market Research 📊: Aggregate follower counts and presence across categories and regions.

• Ops & RevOps ⚙️: Keep CRM records consistent with clean JSON mappings.

📌 For “linkedin sales navigator scraping,” “linkedin recruiter extractor,” or “linkedin search export,” be extra mindful of platform terms, access controls, and legal guidance.

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🏆 Why choose us?

• Compliance-first defaults: Public mode encouraged; configurable throttling to reduce impact.

• Structured, analytics-ready JSON: Clean fields that slot into CRMs, BI, and ETL pipelines.

• Scale without chaos: From 1 → 100k URLs via queues and retries.

• Transparent telemetry: Run metadata, skipped items, and error summaries.

• Friendly onboarding: Sample inputs/outputs, clear parameter docs, and support for enterprise rollouts.

• Flexible stack: Works alongside open-source workflows (linkedin scraper python, github repos) or no-code marketplaces (e.g., Apify LinkedIn company scraper).

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

• Company profiles: Scales to thousands per run with proper throttling.

• Employees (public preview): Typically 3–4 public profiles visible without login (varies by page).

• Posts/Updates: Up to 100 per page, use page_number to paginate (1 → N).

• Similar/Affiliated Pages: Returned when visible and public.

⚡ 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).

🛡️ This guide is not legal advice. Consult counsel for use-case specific guidance—especially for “linkedin recruiter extractor,” “linkedin sales navigator scraping,” and **bulk search export cases.

🧪 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": ""
  }

💬 FAQ

1) Is there a “LinkedIn Company Profile Scraper free” version?

➡️ Many tools offer free tiers or trial credits with limits on URLs or pagination. Always review terms and data usage policies.

2) What’s the difference between a LinkedIn scraper and a LinkedIn profile scraper extension?

➡️ Scrapers are backend tools that process URLs at scale, while extensions run in your browser for manual, small-batch tasks. Extensions are convenient but harder to scale and automate.

3) Can I build a LinkedIn scraper Python workflow from GitHub?

➡️ Yes—search “linkedin company scraper github.” Evaluate repos for schema clarity, rate controls, error handling, and compliance. Avoid projects that encourage ToS violations.

4) Does this support Sales Navigator or Recruiter?

➡️ Use extreme caution. Accessing Sales Navigator scraping or Recruiter extractor data may raise legal/ToS risks. Prefer public data and consult legal counsel.

5) How do I paginate company posts?

➡️ Use page_number (1-based). Each page can return up to 100 posts; increment page_number to fetch more.

6) Can I download results as CSV?

➡️ Yes. Most scrapers provide CSV and JSON. “LinkedIn Company Profile scraper download” queries typically refer to CSV/JSON export options.

7) Does this integrate with Apify LinkedIn company scraper?

➡️ You can run a standalone actor or combine with marketplace actors. The key is to align input schema and output fields across tools.

8) Can I create LinkedIn Company Profile examples for inspiration?

➡️ Use scraped taglines, about, specialties, and post themes to craft “linkedin page name ideas,” but never copy proprietary content verbatim.