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LinkdAPI is an unofficial LinkedIn API offering direct access to LinkedIn’s data through mobile and web endpoints. It provides a stable, scalable, and reliable solution for extracting real-time LinkedIn data, ideal for developers building automation tools and data extraction workflows.

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LinkdAPI Python - Unofficial LinkedIn API

A lightweight Python wrapper for LinkdAPI — the most advanced unofficial LinkedIn API you’ll find on RapidAPI. Instead of relying on brittle scrapers or search engine hacks, LinkdAPI connects straight to LinkedIn’s own mobile and web endpoints. That means you get access to real-time data with unmatched reliability, stability, and scalability — perfect for developers, analysts, and anyone building tools that tap into LinkedIn at scale.


Why LinkdAPI?

  • We do not rely on search engines or SERP scraping – all data is retrieved directly from LinkedIn.
  • Built for scale, stability, and accuracy using direct endpoints.
  • Ideal for automation, data extraction, reverse lookup, and lead generation.

LinkdAPI Hero

📦 Installation

Simply copy the linkdapi.py file into your project directory.


💻 Usage

from linkdAPI import LinkdAPI

api_key = "your_rapidapi_key_here"
client = LinkdAPI(api_key)

# Get profile overview
profile = client.get_profile_overview("lexfridman")
print(profile)

📚 LinkdAPI Python - Available Methods & Usage

all available methods in the LinkdAPI class.


🔹 Profiles Data

get_profile_overview(username)
get_profile_details(urn)
get_contact_info(username)
get_full_experience(urn)
get_certifications(urn)
get_education(urn)
get_skills(urn)
get_social_matrix(username)
get_recommendations(urn)
get_similar_profiles(urn)
get_profile_about(urn)
get_profile_reactions(urn, cursor='')

🔹 Posts Data

get_featured_posts(urn)
get_all_posts(urn, cursor='', start=0)
get_post_info(urn)
get_post_comments(urn, start=0, count=10, cursor='')
get_post_likes(urn, start=0)

🔹 Comments Data

get_all_comments(urn, cursor='')
get_comment_likes(urns, start=0)

🔹 System

get_service_status()

More endpoints to come soon...

📈 Best Use Cases

  • LinkedIn Data Extractor
    Easily automate the process of collecting LinkedIn data at scale—ideal for research, lead generation, and insights.
  • LinkedIn Profile Scraper
    Access rich and detailed profile information without needing a browser or manual copy-pasting.
  • Reverse Email Lookup
    Instantly check if an email is linked to a public LinkedIn profile—perfect for verification or enrichment tasks.
  • LinkedIn Viewer / Profile Viewer
    Quickly explore and analyze public LinkedIn profiles, just like a regular user—but automated.
  • Exporting Comments & Reactions
    Grab post interactions to better understand sentiment, audience behavior, or engagement trends.
  • LinkedIn Automation
    Build smarter, more reliable tools that interact with LinkedIn data—without the fragility of browser scraping.
  • SerpAPI Alternatives
    Get LinkedIn data directly from the source—no need to scrape search engine result pages or deal with CAPTCHAs.

🏁 Final Thoughts

At its core, LinkdAPI is more than just an API—it's a reliable engine for anyone building tools that require access to public LinkedIn data. As the #1 unofficial LinkedIn scraper for developers, it empowers you to build robust LinkedIn automation, perform advanced reverse email lookups, and create scalable LinkedIn profile viewer solutions with confidence.

If you're crafting a high-performance LinkedIn data extractor, a deep-dive LinkedIn profile scraper, or a lightweight LinkedIn viewer, LinkdAPI delivers the power, performance, and flexibility to do it all—without the headaches of traditional scraping.


🔗 Useful Links


📜 License

MIT License – Use responsibly. This tool is intended strictly for research and educational purposes.

About

LinkdAPI is an unofficial LinkedIn API offering direct access to LinkedIn’s data through mobile and web endpoints. It provides a stable, scalable, and reliable solution for extracting real-time LinkedIn data, ideal for developers building automation tools and data extraction workflows.

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