Saudi Audit Managers & Company Scraping in linked in by Cloude

@ZohaibRoy

⭐⭐⭐⭐⭐ Create LinkedIn Datasets for Internal Audit Managers & Companies ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project needs and see you're looking for datasets from LinkedIn. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data collection and analysis. I will gather the required information using tools like Python and BeautifulSoup to ensure accuracy and current data. ➡️ Why Me? I can easily create your datasets for internal audit managers and companies lacking these roles. I have 5 years of experience in data scraping, data analysis, and Excel reporting. My expertise includes web scraping, data validation, and automation. I also have a strong grip on APIs and data management technologies, ensuring a smooth process for your project. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Data Scraping ✅ Python Programming ✅ Web Automation ✅ BeautifulSoup ✅ Excel Reporting ✅ Data Validation ✅ API Integration ✅ Data Analysis ✅ LinkedIn Research ✅ Quality Assurance ✅ Data Management ✅ Project Coordination Waiting for your response! Best Regards, Zohaib

@Tanmoy236

Greeting! Building accurate LinkedIn-sourced datasets across people and company structure requires careful extraction, validation, and structuring to ensure the final Excel file is reliable for audit and decision-making. We are a team of 62 professionals with over 9 years of experience in data engineering, automation, and business intelligence. Here’s how we can help: Extract Internal Audit Managers in major Saudi companies using compliant LinkedIn sourcing (public profiles/Sales Navigator) Enrich records with verified names, job titles, companies, and publicly available contact details Identify Saudi companies (50+ employees) with no visible internal audit roles from LinkedIn org data and job listings Structure both datasets into a single clean Excel workbook optimized for Cloud Cowork upload Perform deduplication, formatting consistency checks, and broken link validation Deliver a ready-to-review file with clear column standards and audit-friendly layout Before we begin, do you already have LinkedIn Sales Navigator access or should we rely only on standard LinkedIn public data? Also, should we include only verified corporate emails or any publicly listed contact channels? We will deliver a structured, validation-checked workbook that allows you to review both datasets confidently with clean, export-ready accuracy for immediate use.

@Herculesz

Hi I can help collect and organize the two Saudi LinkedIn-based datasets into a clean Excel workbook with separate sheets for internal audit managers and companies lacking internal audit roles. I have strong experience with LinkedIn research, Sales Navigator-style filtering, Python, Selenium, BeautifulSoup, data cleaning, Excel formatting, validation checks, and contact enrichment from public sources. The key technical problem is gathering current LinkedIn-based company/person data while avoiding duplicates, broken links, unverifiable contacts, and any collection method that violates platform rules. My solution is to use compliant LinkedIn search methods, verify each record, enrich only publicly available contact details, and structure the workbook with consistent columns and source references. I can identify internal audit managers in major Saudi companies and separately research Saudi firms with 50+ employees where no internal audit roles appear in LinkedIn profiles or job listings. I will also check formatting, deduplicate companies and people, flag missing emails as N/A, and make the file review-ready for your Cloud Cowork space. The final workbook will be clean, searchable, and organized for easy accuracy review. Thanks, Hercules

@techplusintl

Hi there, ★★★ Python Expert ★★★ 8+ Years of Experience ★★★ I can gather the required datasets from LinkedIn and deliver them in a single Excel workbook. This will include: - Capturing internal audit managers from major Saudi companies with their contact information. - Identifying companies lacking internal audit roles and recording relevant details. I will use Python with libraries like Selenium and BeautifulSoup to ensure accurate and clean data extraction. Ready to start once you provide access to your Cloud Cowork space. Thanks!

@quan9824

My drive has always been to deliver quality results on time and on budget. As a full-stack developer with extensive experience in web scraping using Python, I am well-equipped for this project. Over the years, I have honed my skills in using powerful tools such as Selenium and BeautifulSoup which allows me to retrieve data efficiently from LinkedIn profiles while staying compliant with platform's terms. My proficiency in developing trading systems showcases my ability to work with and analyze large sets of data with precision. This skill will prove crucial in your project as I'll be required to collect comprehensive data about internal audit managers in major Saudi companies, including their full name, contact information, job title, and company details. Rest assured, I always prioritize consistency and accuracy when handling datasets for my clients. Moreover, my ability to adapt quickly to new technologies and project requirements is a significant advantage in a dynamic environment like freelancing. Combined with my strong problem-solving skills and dedication to providing clean maintainable code following best practices, you can trust me to deliver the sheet 1- Internal Audit Managers (IA) dataset as per your needs and ensure Sheet 2- Companies Lacking Internal Audits Roles(CLR) are listed accurately. Choose me for robust, dependable databases that make your managerial decisions easier!

@kamran2012

Interesting project, I will deliver both sheets — audit managers with verified contact details and the gap-analysis sheet identifying 50+ employee Saudi firms missing internal audit roles — in one clean, export-ready Excel workbook. For the second sheet, I will cross-reference LinkedIn company pages with their job listings and org charts to flag firms with zero audit-related titles, reducing false positives from companies that simply use different role naming conventions. Questions: 1) Do you have LinkedIn Sales Navigator access, or should I work with standard LinkedIn data? 2) Is there a minimum company size cap or specific industries to prioritize? Looking forward to potentially working together. Thanks, Kamran

@emilesd617

Hi, I am a Data Extraction and Python Developer with 8 years of rich experience. I am familiar with Python, Selenium, BeautifulSoup, Excel, and Data Analysis. For this project, the most important part is collecting accurate and well-structured data while complying with platform policies and using publicly available information. I can build an automated data collection workflow, validate the results, and deliver a clean Excel workbook with consistent formatting and quality checks. I will focus on data accuracy, reliability, and easy review. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@muneeb6767

I can build a structured Excel workbook with LinkedIn-sourced Saudi company data, including Internal Audit Managers, company details, validation checks, deduplication, and verified contact information where publicly available. Using Python, Selenium, and data-cleaning workflows, I’ll deliver an accurate, review-ready dataset with consistent formatting and clear sourcing.

@demivision

Hi there, Thank you for sharing such a clear and well-defined project brief. We are Demivision LLC, a team of experienced data professionals specializing in Python-based web scraping, data analysis, and Excel data management. We understand that your goal is to create a reliable, up-to-date dataset covering Internal Audit Managers in major Saudi companies, as well as a list of Saudi organizations with 50+ employees that do not currently have internal audit roles. We appreciate the importance of accuracy, consistency, and compliance in handling LinkedIn data. Our team has successfully completed similar projects involving complex data extraction from LinkedIn, using tools like Selenium, BeautifulSoup, and in some cases, LinkedIn APIs, while always adhering to platform terms and conditions. We are confident in our ability to deliver clean, verifiable results that meet your review criteria. Our approach will begin with a targeted search strategy for both individual professionals and companies, leveraging advanced filters and Boolean queries to maximize coverage. We will extract all required fields—such as full names, contact details, job titles, company names, and company metrics—before performing thorough validation and de-duplication to ensure data quality. The final deliverable will be an organized Excel workbook with two clearly structured sheets, ready for seamless integration into your Cloud Cowork space. We look forward to collaborating with you and delivering a solution that brings actionable insights to your project. Best regards, Demivision LLC

@codefusion53

Hi, I can help build the Excel workbook with two clean, well-structured sheets for LinkedIn-based research on Saudi companies and internal audit roles. I have experience with Python, Selenium, BeautifulSoup, data scraping, data cleaning, Excel automation, and structured database preparation. For this project, I would focus on collecting verifiable LinkedIn profile and company information, organizing it into consistent columns, removing duplicates, validating links, and formatting everything into a professional Excel workbook. I will also be careful to follow LinkedIn’s access limitations and avoid methods that violate platform terms. Where direct contact details are not publicly available on LinkedIn, I can mark them clearly and supplement only with publicly available company websites or general contact emails when appropriate. The final workbook will include Internal Audit Managers and Companies Lacking Internal Audit Roles, with clean formatting, source links, and checked data consistency before delivery. Best, Justin

@shakilan4

Hi, I have experience with LinkedIn research, lead generation, data mining, and Excel reporting. I can compile and verify the required datasets, organize them into a clean Excel workbook, remove duplicates, and ensure consistent formatting with source links for validation. Best regards, Shakila Naz

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand you need two structured LinkedIn-based datasets delivered in a single Excel workbook (internal audit managers + companies without internal audit roles). I have experience in Python, Selenium, BeautifulSoup, web scraping, Excel automation, data analysis, and data management. I will build a Python-based data pipeline to collect publicly available LinkedIn information (or Sales Navigator/API if accessible), then clean, validate, and structure the data into a consistent Excel workbook with both sheets. The process will include deduplication, field normalization (names, titles, company data), and link verification to ensure accuracy and consistency across all records. One of the key challenges is extracting reliable LinkedIn data while maintaining structure and accuracy at scale. I will implement stable scraping logic with validation rules to ensure clean, export-ready results that pass your review criteria. I have a couple of quick questions: • Do you have Sales Navigator access, or should I rely strictly on publicly available LinkedIn profiles? • Do you already have a preferred Excel column structure, or should I design an optimized schema for both sheets? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos

@mahads31

As an experienced web and software developer, I am very well equipped to tackle your project of scraping data from LinkedIn. Not only do I have the skills necessary, but also the resources such as Python, Selenium and BeautifulSoup that will guarantee clean and export-ready results without violating platform terms. Moreover, I will expertly navigate through LinkedIn company profiles to ensure you get the right data you need for companies lacking internal audit roles in Saudi Arabia – recording their names, headcount, industry, headquarters city and pertinent contacts. With these two datasets combined in a single Excel workbook on your preferred cloud coworking space, you can review the file at your convenience for accuracy and broken links. Choose me as your technology partner on this project because I don't just build software but deliver solutions that are scalable and efficient designed to deliver real business value. My client-centered approach underscores understanding business goals not just technical requirements; a perspective instrumental in interpreting what you need done. I am excited about this project and ready to fully commit my skillset in ensuring the final deliverable meets even exceeds your expectations.

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Tech stack: Python, FastAPI, Django PostgreSQL, SQLAlchemy React, JavaScript, TypeScript Docker, Docker Compose CI/CD (GitHub Actions, GitLab CI) AWS (EC2, S3, Lambda, ECS), DigitalOcean, Heroku NGINX, Caddy If you're looking for a reliable Python backend developer to help with your project, feel free to reach out. Your faithfully. Eng. Alema Akter

@adisonw

Dear Sir, I am thrilled to bid your project. I can help collect and organize the two Saudi LinkedIn-based datasets into a clean Excel workbook with separate sheets for Internal Audit Managers and Companies Lacking Internal Audit Roles. I will focus on accuracy, consistent formatting, source verification, and clean columns so the final file is easy to review inside your Cloud Cowork space. For compliance and reliability, I would use publicly available LinkedIn data or authorized LinkedIn/Sales Navigator access, avoiding methods that risk account restrictions or violate platform rules. Sheet 1 will include internal audit manager names, job titles, company names, LinkedIn source links, and only publicly listed contact details where available. Sheet 2 will list Saudi companies with 50+ employees, industry, headquarters city, LinkedIn headcount, website/contact email, and notes on whether internal audit roles appear absent. One important question: do you already have LinkedIn Sales Navigator access, or should I structure the work around publicly available LinkedIn/company data only? Sincerely, Adison.

@jay8mac

Lets chat, a free consultation and no obligation. I understand you need a clean, professional, and user-friendly solution for your "Saudi Audit Managers & Company Scraping in linked in by Cloude" project. My skills in PHP, Java, JavaScript are a perfect fit for this project. While I am new to freelancer.com, my extensive experience delivers integrated, automated solutions. Regards, Jason McLachlan

@nemanjam61

Hello, I have experience with data extraction and Excel automation, having previously implemented data aggregation systems for e-commerce platforms and CRM tools. I can build a solution that utilizes LinkedIn API scraping techniques to compile the required datasets effectively into an Excel workbook. A technical scenario could involve setting up a scheduled script to automatically pull updated information from LinkedIn daily and populate the workbook. This will ensure your data remains current and accurate. Let's discuss!

@talkwaqar

Two datasets, one Excel workbook in your Cloud Cowork space: Saudi internal audit managers with contact details, and 50+ employee Saudi firms showing no internal audit function. The second sheet is the harder one, since "absence of a role" needs inference from org structure plus job listings, not a simple field pull. Here's how I'd build it: 1. Pull Sheet 1 via Sales Navigator filters (Saudi geography, "Internal Audit Manager" titles), capturing name, title, company, and any publicly listed email or phone. 2. Cross-check each company on Sheet 2 against current and past audit-role postings, then flag firms with zero audit signal. 3. Validate every link and dedupe before handoff, so your accuracy review goes fast. I've built Python and Selenium scraping pipelines with clean Excel exports for past data projects. Done = both sheets delivered, columns consistent, zero broken links on your review. $162, 7 days. One call: direct personal emails are rarely public on LinkedIn. Do you want verified work emails only, or should I include best-guess patterns flagged as unverified? P.S. Sales Navigator headcount and the public profile headcount sometimes differ. I'll record the figure shown on the company page so your numbers stay traceable to a single source. Waqar

@finxisai

My name is Finxis, and as an AI-powered financial services platform, data analysis and management are fundamental to our craft. We have an exceptional grasp of tools and skills such as Python, Selenium, BeautifulSoup frequently used in scraping Linkedin's Data so I have no problem using this to gather the datasets you require. Our platform is actually designed to make this piece of work much simpler for you. We automate tasks like bookkeeping and data gathering, allowing for the elimination of manual work and reducing errors. This will be especially valuable for your data scraping project as we can complete your request efficiently using clean, export-ready results without violating platform terms. Moreover, I would like to assure you that our system's capabilities are perfectly matched to the specifications of your project. With clients experiencing 60% faster reconciliations, 74% fewer errors, and 4× more advisory capacity when using our software, it's clear that a partnership with FinxisAI means you get maximum efficiency with absolutely no compromise on quality. So let us provide you with that accurate, consistent dataset！