Shipowner Contact Data Excel Compilation

@vssolinc

Hello there, I am expert web scraper and easily collect the ship owners contact data with their emails. Leave a message for a complete sample. Thanks. Ready to start right away.

@rabbiawebjuggler

As someone with extensive experience in data management and analysis, I believe I'm the ideal candidate for your project. My proficiency in MS Excel, web scraping, and database management will be invaluable in providing you with a detailed and accurate Excel database of ship-owning companies. I am highly experienced in web scraping, which means that I have the skills and expertise necessary to find reliable and up-to-date information for your project. I understand the importance of accuracy in this undertaking, particularly when it comes to the essential contact information you've specified. Rest assured, not only will I maintain a high level of diligence during the data collection process, but I'll also cross-check each entry assiduously before delivery. By combining existing information with new findings from sources like Equasis and China Shipbuild, I'll ensure that the final product is a comprehensive and well-structured .xlsx file ready for immediate use. Moreover, my commitment to client satisfaction runs deep; I consider every project a chance to exceed expectations. As such, I'll dedicate myself fully to compiling an exhaustive dataset for you. Choose me for this assignment and experience efficient workmanship without any compromise on quality or reliability. Let's get started on your detailed ship-owner contact database today!

@p4logics

Hello Sir, I understand you need a highly accurate Excel database of ship-owning companies with specific fleet details and verified key contacts. I will use Python web scraping scripts to carefully extract and cross-check this data from Equasis and China Shipbuild, ensuring the specific Person in Charge, Chartering, and Sale & Purchase contacts are precise. Finally, I will clean and compile all the extracted information into a perfectly structured .xlsx file, delivering a reliable database ready for your immediate use.

@sareheshak

AVAILABLE TO START IMMEDIATELY..,,. I will deliver a thoroughly researched and cross-checked Excel database (.xlsx) of shipowner contacts, leveraging Python for efficient scraping from Equasis and China Shipbuild, ensuring all specified data fields are accurate and ready for immediate use. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.

@denisSolution

Hi, I'm Denis, a full-stack developer with experience in data collection, web scraping, and database management. I've built systems that gather and organize structured data from multiple sources. What you're building is a qualified prospect database for the shipping industry. The real challenge isn't just collecting names and numbers—it's ensuring contact roles are accurate. A wrong chartering contact wastes everyone's time, so verification matters. I'd map which sources have the most reliable data for each field. Equasis and similar maritime databases are good starting points, but they lack complete contact information. I'd supplement with targeted searches and cross-reference entries to catch duplicates or outdated information. For the three specific contacts—Person in Charge, Chartering, and Sale & Purchase—I'd verify these separately through company websites or direct validation. The workflow is straightforward: scrape shipowner data from your sources, structure it into normalized format, manually verify critical contact fields, then compile everything into a clean Excel file with proper formatting and no duplicates. The main risk is data quality. Maritime databases sometimes have outdated or incomplete entries. I'd build in a verification step to flag uncertain records so you can review them before use, rather than delivering something you can't trust. I can start right away. Let's discuss the details. Thanks, Denis.

@rezamahi

I’m a data research and lead generation specialist with 6+ years of experience in web research, data extraction, contact verification, and Excel database building. I can compile a clean shipowner database with: • Shipowner name • Verified business email and phone • Fleet size and vessel details • Person in Charge • Chartering contact • Sale & Purchase contact I’ll cross-check information across reliable industry sources and official company websites, remove duplicates, and clearly flag any contact that cannot be independently verified rather than guessing. I can deliver the final data in a clean, structured .xlsx file ready for immediate use. Please confirm whether you want a global database or specific regions/hubs such as Asia and Europe.

@giaphung2k1

Hello Word Count & Flow Check: I can build your complete, accurate Excel Best regards, Giáp Văn Hưng

@zubairmbafinance

Hello, I can build a clean and accurate Excel database of ship-owning companies with all the required fleet and contact details. I have strong experience in web research, data scraping, data entry, Excel, and database building. I will cross-check Person in Charge, Chartering, and Sale & Purchase contacts using reliable industry sources. I’ll ensure the vessel counts, types, size ranges, emails, and phone numbers are carefully verified and formatted. I can deliver a well-structured .xlsx file ready for immediate use, with accuracy as my priority.

@CauaAlves

I specialize in B2B maritime research and data compilation, with direct experience cross-referencing registries like Equasis, IMO company directories, and maritime trade databases. Here is how I will assemble your shipowner Excel workbook: 1. Complete Row Structure: Each company will include verified Shipowner Name, Headquarters, General Contact (Phone with international prefix and primary email), Fleet Size (total active vessels), and Vessel Segmentation (Types: Dry Bulk, Tankers, Containers, etc., and DWT/TEU size bands). 2. Key Decision-Maker Verification: I specifically target and cross-check the three critical roles you requested: Person in Charge (Technical/Managing Director), Chartering Lead, and Sale & Purchase (S&P) contact, obtaining direct names, job titles, and business emails. 3. Deliverability Validation: All collected emails undergo MX record and SMTP verification to eliminate bounces and ensure active inbox delivery. 4. Excel Formatting: Data will be delivered in a standardized .xlsx sheet with frozen headers, separated contact columns, and zero duplicate entries. I am ready to begin compilation immediately. Let us connect via text chat to confirm any target vessel types or geographic preferences!

@AndrewJSMAN

I’ve built and validated shipowner contact databases before, so this is right in my wheelhouse. I’ll scrape Equasis and China Shipbuild, cross-check contacts against public records, and structure the data in Excel with validation for the three key contacts. The workflow will be: gather raw data → clean and deduplicate → verify contacts → format for delivery. I’ll use Python (BeautifulSoup, Selenium) for scraping and Excel (VBA macros) for validation. The output will be a polished .xlsx with all required fields. I can start immediately. Thanks, Andrii.

@lazarr4

Hello, I can build a structured Excel database of ship-owners by combining public sources like Equasis and China Shipbuild with manual verification to ensure accuracy. I’ve previously compiled similar datasets for maritime clients, though not for this exact scope. I’d approach this by scraping Equasis and China Shipbuild for initial data, then cross-checking emails and contacts through search engines and LinkedIn to confirm accuracy. The biggest challenge will be standardizing vessel types and fleet sizes across different sources. The final output will be a clean, actionable dataset that reduces the time spent manually verifying contacts. I’ll also include a quick guide on maintaining the file for future updates. I provide services including two weeks of bug fixing and improvements within a certain scope even after the project is completed. If we’re aligned, I’d be happy to discuss the details further whenever it’s convenient for you. Thanks, Lazar.

@patricko098

GIVE ME 30 SECONDS TO SHOW YOU WHY I'M THE RIGHT FIT FOR THIS PROJECT. I recently completed a similar project for a maritime consultancy, compiling a comprehensive database of over 200 ship-owning companies. The result was a 98% accuracy rate, significantly improving their outreach efforts. With over five years of experience in data compilation and research, I have a strong grasp of maritime industry sources, including Equasis and China Shipbuild. My meticulous attention to detail ensures that every entry is verified for accuracy. I understand that your goal is to create a reliable and usable database. I will leverage my skills to gather and cross-check information effectively, ensuring all contacts are up-to-date. My focus will be on clear communication throughout the project and delivering a robust final product that meets your needs. I am confident that my expertise will exceed your expectations. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards Patrick

@ayesha86664

Hi there! Building a reliable shipowner database is tough when contacts like chartering or S&P leads are scattered across different sources, and a lot of lists end up with outdated info that wastes outreach time instead of saving it. I've worked on data collection and lead-building projects before, sourcing and cross-checking company and contact details from public databases and industry sources such as Equasis, then organizing everything into clean, structured Excel sheets. I'm careful to verify each contact, especially role-specific ones like Person in Charge, Chartering, and Sale & Purchase, so the data holds up when you actually use it. For this project, I'll start by pulling fleet and company data from Equasis and China Shipbuild, then cross-check the three key contacts for accuracy before adding them to the sheet. I'll deliver a clean, well-structured .xlsx file with consistent formatting, ready for immediate use, and flag any entries where public data is limited so you know exactly what's verified. Check our work https://www.freelancer.com/u/ayesha86664 Roughly how many shipowner entries are you hoping for in this batch? Let me know if you're interested and we can discuss it. Best Regards Ayesha

@DesmondTwoTwo

THIS IS A GREAT MATCH. I have just handled a similar project compiling maritime data for a client, ensuring all entries were accurate and up-to-date. You need precise contact information for ship-owning companies, and I get that accuracy is key here. I’ll focus on verifying each contact, especially the three specific roles you mentioned. Additionally, I’ll ensure the vessel details are clearly outlined in the final file. This will be straightforward, clear, and easy for you to use right away. REACH OUT, LET'S SEE IF WE ARE A GOOD FIT. Regards, Stefan.

@pasion0128

★•══•★ Hi client ★•══•★ I have recently completed similar maritime data-research projects involving web scraping, company enrichment, contact verification, and structured Excel databases. I can research shipowners from reliable industry sources, cross-check fleet details and key contacts, remove duplicates, and deliver a clean, accurate .xlsx ready for use. Would you like me to start with a verified sample of records? Best regards, Rico

@venkatsreekanth

Hi, I’m interested in this project. I don’t have prior professional experience with maritime databases, but I’m willing to learn the required sources and workflow for this project. I can carefully research shipowners, collect the required fleet and contact details, cross-check information across reliable public sources, remove duplicates, and organize everything clearly in Excel. I’ll pay particular attention to the Person in Charge, Chartering, and Sale & Purchase contacts. I’m also happy to follow your preferred tools and verification process and can start with a small sample so you can check the accuracy before proceeding with the full database.

@syedanastanweer

Hello, I understand that you require data entry services. I can help you build a clean list of shipowner contact details. I will use web search and data extraction tools to gather this information. With 5+ years of experience and a 5 star rating, I am confident that I can provide you with the best solution regarding shipowner contact data compilation. I assure you with professional communication until your work is done. Regards, Syed Anas

@alirashdi26

Hey , I just went through the project description, and I see you are looking for someone experienced in Data Scraping, Web Search, Web Scraping, Excel, Data Collection, Data Management, Database Management and Data Entry. It instantly reminded me of a client who faced similar challenges, and I knew I had a tailor-made solution for it. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: • Is there anything else you’d like to add to the project details? • What’s the top hurdle you’re facing with this project? • What is the timeline to get this done? Why Choose Me? 250+ Projects. 5 Years. Zero Misses. My reputation is built on a single metric: Flawless Execution. While others promise quality, my last 100+ consecutive 5-star reviews prove it. I don’t just finish the job; I set the standard. The portfolio here is just the tip of the iceberg. To respect client confidentiality, my recent heavy-hitters aren't public, but I can share them 1-on-1. Regards, Ali .

@cliftonc20

Hi, Your goal to compile a highly accurate shipowner contact database from multiple public sources aligns with the critical need for data reliability and validation. The main technical risk is ensuring consistent accuracy and completeness of contact details, especially for the key person-in-charge roles, given the variability and potential inconsistencies in public maritime data. While my background centers on AI-driven document intelligence and automated data pipelines, I understand the importance of structured data extraction and verification from heterogeneous sources, as demonstrated in my DocIntel AI project where I designed automated scraping, OCR, and validation pipelines. I typically design systems by separating data ingestion, validation, and output formatting layers to isolate errors and enable scalable updates. For your project, I’d validate the data extraction and cross-checking steps early to ensure high confidence in contact accuracy. Implementing automated validation and fallback checks can reduce manual errors and improve reliability for your Excel deliverable. I can help sketch an ingestion and verification architecture tailored to your data sources and accuracy needs. Thanks, Clifton