AI Automation to Identify Golf Handicaps

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a List of Golfers in Your LinkedIn Network for Events ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for someone to create a list of your LinkedIn connections who hold a golf handicap. You don’t need to look any further; Zohaib is here to help you! My team has completed 50+ similar projects, focusing on automation and data gathering. I will efficiently create your list by extracting data from LinkedIn and cross-referencing it with the USGA/GHIN portal. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in data management, automation, and web scraping. My expertise includes LinkedIn data extraction, API integration, and data analysis. I also have a strong grip on tools that streamline this process, ensuring you receive a comprehensive and accurate list. ➡️ Let's have a quick chat to discuss your project in detail. I can showcase samples of my previous work, demonstrating how I can meet your needs effectively. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Data Management ✅ Web Scraping ✅ API Integration ✅ Automation ✅ Data Analysis ✅ LinkedIn Data Extraction ✅ Excel Proficiency ✅ Data Validation ✅ Python Programming ✅ Scripting ✅ Problem Solving ✅ Attention to Detail Waiting for your response! Best Regards, Zohaib

@OutsourceMan

⭐⭐⭐⭐⭐ CnELIndia and Raman Ladhani can deliver a secure, automated AI workflow to achieve your vision end‑to‑end. Step 1: We will build a compliant LinkedIn data extraction pipeline using Python, Selenium, and API integrations to generate a structured list of all your 1st connections, capturing first name, last name, and state. The data will be cleaned, validated, and stored in a secure database. Step 2: We will develop an RPA bot to securely log into your USGA/GHIN portal, search each contact, and extract handicap index and local course details. The system will compile a final enriched dataset with matching accuracy controls. We will then layer AI-driven personalization to auto-generate tailored golf event invites. The architecture will be scalable to scan 2nd/3rd connections by geography and handicap proximity to event locations, enabling precision outreach and full automation.

@quan9824

https://www.freelancer.com/projects/data-scraping/Automated-Counterfeit-Detection/reviews Dear. Nice to meet you. I am very pleasure to submit my proposal on your scrapping and automation project. I have many experiences in these field using python. Recently, I developed Automated Counterfeit Detection and Reporting System on Amazon. You can check this in my portfolio. I am sure and I can start immediately. I will wait for your good news. Thank you.

@vasudharao9

Hi, I am a Computer Science graduate from UC Berkeley with a specialization in Artificial Intelligence. I have over 10 years of experience building and developing AI solutions. I can help you with this project. Message me to discuss this further. Thanks ?

@abhisaini0188

Hello, I am really excited about the opportunity to collaborate with you on this project! It aligns perfectly with my skill set and experience, and I’m confident I can contribute meaningfully to your vision. I genuinely enjoy working on projects like this, and I believe we can create something both functional and visually engaging. Please feel free to check out my profile to learn more about my past work and client feedback. I’d love to connect and discuss the project details further your goals, expectations, and any specific features or ideas you have in mind. The more I understand your vision, the better I can bring it to life. I am ready to get started right away and will put my full energy and focus into delivering quality results on time. My goal is not just to complete the project, but to exceed your expectations and build a long-term working relationship. Looking forward to hearing from you soon! With regards! Abhi

@hotanloc

Hello, dear... I checked your project details carefully. I have rich experienced in Web Scraping, Data Extraction, Machine Learning (ML), Python and Artificial Intelligence. I have full experience to develop python code for extracting the specific data from web site with python, HTML, CSS and JavaScript. I am sure for your project and i can complete your project perfectly on time and with high quality. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@NaveenSingh09

Hello, I understand you need a system that extracts your first‑degree LinkedIn connections, gathers their location, and cross‑checks them against the USGA/GHIN database to identify active handicappers and their local courses. The approach will be: 1) use the LinkedIn API to pull first‑degree contacts and capture first name, last name, and state. 2) build a lightweight service that queries the GHIN portal for each contact, parses the handicap and course details, and stores the results in a clean CSV. 3) deliver the final list in an easy‑to‑use spreadsheet and outline next steps for outreach. My background in Python, Flask, and web scraping, along with experience building data pipelines and automation workflows, equips me to deliver this solution efficiently. I’m ready to start right away and will keep you updated throughout the process. Let’s connect to discuss the details. The solution will be fully documented, and I will provide a brief user guide on how to run the script and interpret the results. I will also set up a simple notification system so that you receive updates when new handicappers are added to the list. Best Regards Naveen Thakur

@usamae

Hey, I've done quite a bit of automation work involving LinkedIn scraping and cross-referencing external databases, so this project is right in my wheelhouse. Here's how I'd approach it: Step 1 - I'll build a Python script using Selenium or the unofficial LinkedIn API to pull your first-degree connections and extract first name, last name, and state. I'll handle session management and any rate limiting to avoid getting flagged. Step 2 - Take that output and automate lookups on the USGA/GHIN portal. I'll search each person and capture their handicap index and home course if found. We'll end up with a clean list of only the golfers in your network. Final output will be a nice spreadsheet (CSV or Google Sheets, your call) with name, state, handicap, and home course columns. The LinkedIn part is the trickier piece, but I've done similar scraping before and know how to keep it running reliably. Happy to walk through the approach before we start if you wanna sanity-check it. - Usama

@Techroj

Hello, I’m very interested in helping you automate this workflow. I have professional experience as a freelancer building data extraction and automation systems using Python, Selenium, and API-based integrations. For Step 1, I would build a controlled automation process to securely export your first-degree LinkedIn connections (name + location) in a structured format. For Step 2, I would design a lookup workflow that queries your USGA/GHIN portal session in a compliant and stable way, matches individuals accurately, and compiles handicap and course data into a clean master dataset.I would also structure the system so it can later filter by geography and connection level for targeted event outreach. The focus will be reliability, accuracy, and maintainability. Let’s discuss compliance considerations and technical access details over DMs. With regards, Rojan Uprety

@vishal1145

Your GHIN lookup will fail if you're scraping without handling their CAPTCHA and session timeouts - I've seen this break for 3 clients who tried the ChatGPT agent route. LinkedIn's rate limits will also block your account after ~80 profile scrapes per hour unless you're rotating sessions properly. Before building this, I need clarity on two things: Does your GHIN portal require multi-factor authentication for each login? And are you planning to run this daily or as a one-time extraction (because LinkedIn will flag repetitive scraping patterns)? Here's the architectural approach: - LINKEDIN API + SELENIUM: Use official LinkedIn API for initial connection export (avoids account bans), then Selenium with headless Chrome and random delays to scrape missing state data from profiles that don't expose location via API. - GHIN PORTAL AUTOMATION: Build a Python script using Playwright (more stable than Selenium for modern SPAs) with session persistence and CAPTCHA solving via 2Captcha API to handle USGA lookups without manual intervention. - DATA MATCHING LOGIC: Implement fuzzy name matching with Levenshtein distance scoring since "Mike Johnson" on LinkedIn might be "Michael R. Johnson" in GHIN - this prevents false negatives that kill your list accuracy. - RATE LIMIT HANDLING: Add exponential backoff and proxy rotation to stay under LinkedIn's detection threshold while processing 500+ connections without triggering security reviews. - OUTPUT PIPELINE: Store results in a PostgreSQL database with deduplication logic so you can run incremental updates without re-scraping your entire network every time. I've built similar LinkedIn + third-party portal integrations for 2 recruiting firms that needed to cross-reference candidate data across platforms. The key failure point is always authentication persistence - GHIN sessions expire unpredictably, so we'll need retry logic with credential refresh. Let's schedule a 15-minute call to walk through your GHIN portal's login flow and confirm LinkedIn won't lock your account during testing. I don't start builds without seeing the actual authentication barriers first.

@GameOfWords

AI Automation to Identify Golf Handicaps I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@abdf2010

Hello there, I reviewed your project AI Automation to Identify Golf Handicaps and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Web Scraping, Linkedin and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@chiragardeshna

Hi there, You want to pull your LinkedIn connections, cross-reference each one against USGA/GHIN, and build a clean list of who golfs and at what level — so your event invites actually land with the right people. I have built similar multi-source automation pipelines where data is pulled from one platform, matched against an external database, and output as a structured list ready for outreach. I would start by extracting your first connections from LinkedIn with name and location, then write a lookup script that queries GHIN for each person by name and state. The output would be a clean spreadsheet with handicap index and home course for every match found. Once that pipeline works, adding second and third connection scanning for future event targeting is a straightforward extension. One question — does the USGA/GHIN portal you use have an API or is the lookup currently done manually through the web interface, because that changes the approach significantly? Happy to jump on a quick call to confirm what is technically possible before you commit. Regards Chirag

@Aaleen110

I have reviewed your requirement for mapping USGA handicaps across your LinkedIn network and can implement a custom automation to handle this cross-platform verification. Having previously built data enrichment pipelines that sync professional profiles with external certification databases, I understand the specific nuances of accurately matching individuals across disparate systems where names and locations may vary slightly. My primary goal is to provide you with a high-integrity dataset that eliminates manual searching while maintaining the security and integrity of your professional profile. My technical approach involves using a Python-based script—utilizing Playwright with stealth configurations—to extract your network's core identifiers, followed by a custom automation that queries the USGA GHIN lookup platform. I will implement robust fuzzy matching algorithms to resolve common name variations and utilize LinkedIn's geographic data to cross-reference against USGA club affiliations, ensuring high-confidence matches even for common names. To protect your account integrity, I’ll incorporate session management and intelligent rate-limiting, ultimately delivering a structured database that maps each contact to their specific Handicap Index, GHIN number, and active club status in a Google Sheet or CSV. Approximately how many connections are currently in your LinkedIn network to help me estimate the script’s runtime and proxy requirements? Additionally, would you like to prioritize contacts within a specific handicap range or region for your initial outreach? I’m available to discuss the logic or provide a quick proof-of-concept; feel free to reach out via chat or let me know if you’d prefer a brief call to align on the project delivery.

@AlexDeveloper911

Hello, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Python, Web Scraping, Linkedin, Data Scraping, Data Extraction, Selenium Webdriver, Robotic Process Automation, Automation, API Integration Lets connect in chat so that We discuss further. Thank You

@QuickMentor

I’m an experienced Full Stack Developer skilled in JavaScript (React, Node.js, Angular), Python (Django, Flask), PHP (Laravel, WordPress), and mobile frameworks like Flutter. I build high-performing, scalable, and fully responsive web and mobile applications tailored to your business needs. I ensure clean, efficient code and timely delivery. To kick things off, I also offer a free initial consultation to fully understand your project requirements. Let’s discuss your project today and start building a solution that exceeds your expectations!

@jesica46

Hello, I have carefully reviewed your project requirements, and I am fully confident that I can complete this Python task efficiently and exactly as you expect. With strong hands-on experience in Python development, I have built automation scripts, data processing tools, and problem-solving solutions that are clean, optimized, and reliable. I focus not only on making the code work but on writing structured, maintainable, and performance-optimized solutions. For your project, I will: ✔ Analyze the requirements carefully before starting ✔ Develop clean and well-structured Python code ✔ Ensure proper error handling and testing ✔ Optimize performance for speed and accuracy ✔ Deliver within your deadline with full support I take responsibility for delivering high-quality results and I am confident that I can handle this project smoothly. Please share the full details so I can get started immediately. Looking forward to working with you. Best regards,

@craigd43

Drawing from my extensive experience in web scraping and data extraction as a full-stack web developer, I am confident in my ability to create an AI-powered solution for you. My advanced proficiency in Python for data scraping, combined with my familiarity with the LinkedIn platform, makes me uniquely suited to solve this challenge. I assure you that the limitations you encountered earlier will be effectively addressed using my developed approach to exploit the LinkedIn API specifically designed for this purpose. My understanding of the first step is that you require a meticulous assembly of your first LinkedIn connections while maintaining essential details such as their first and last names and state of residence. My extensive experience in developing powerful backend tools combined with my problem-solving abilities gives me the confidence to handle this efficiently, accurately and at scale. For step two, I will leverage my seasoned programming skillset in Python and strong knowledge with data manipulation to precisely interface with USGA/GHIN portals to identify and record all handicap holders within your network. Moreover, as you've also communicated long term objectives to broaden this project scope by incorporating 2nd and 3rd connections invitations based on proximity to golf events, I can assure you that I am well-equipped for such advancements. Allow me to bring efficiency and accuracy to your task.

@usamaansari786

Hi there I will automate this LinkedIn and USGA GHIN data workflow immediately. Since you need to extract your 1st degree LinkedIn connections and cross reference them with GHIN handicap records I will build a secure automation pipeline using Python and LinkedIn data export methods while ensuring the data is organized accurate and scalable for future targeting of 2nd and 3rd degree connections. I'll generate a clean dataset including First Name Last Name and State from LinkedIn then cross check each entry against your USGA GHIN portal access to determine handicap index and local course details. The final output will be delivered in a structured CSV or Google Sheet ready for hyper personalized event outreach. Verified for clean data formatting and future automation expansion. I have some awesome portfolios available on request. Q) Do you have LinkedIn Sales Navigator and direct export access and does your GHIN portal allow manual lookup only or does it provide structured export or API access? I am ready to start now. Please share the Details so I can review them. Best Regards Usama F