Comprehensive Business Data Curation and Mapping

@Tanmoy236

Good day! I can help turn your 12 CSV files into a clean, verified prospect database that is accurate, actionable, and ready for field visits. With experience in data research, web scraping, lead enrichment, and business verification, I can systematically review all 5,000+ records and consolidate them into a single organized Google Sheet. My process includes: • Merging and cleaning all CSV files • Removing duplicates and irrelevant records • Verifying businesses are active and independently owned • Filtering by revenue, employee count, website/physical presence, and other criteria • Updating current addresses, phone numbers, and business details • Researching and validating owner information • Finding professional owner email addresses whenever possible • Collecting business and owner social media profiles • Adding concise business descriptions • Cross-checking all information against multiple public sources for accuracy Once the list is refined, I can also prepare mapping data so you can efficiently plan routes and visit businesses in specific areas. I understand that confidentiality and data accuracy are critical for this project. I work methodically, document sources where needed, and focus on delivering reliable, up-to-date information rather than bulk, unverified data. I would be happy to become a long-term resource for ongoing research, data enrichment, and lead-generation projects.

@belalihabibullah

Dear sir, I can start to work immediately. INBOX ME FOR SAMPLE. I am Habibullah B. I offer professional and reliable B2B lead generation and data entry services. Where I am able to provide you 100% verified email list, LinkedIn lead generation, business leads, social media link, website URL, company information etc. I assure you with my 7 years of experience that I am an expert in B2b lead Generation service and Data entry operation. I have lot of success story where I achieve tips and good feedback from my satisfied clients. Client satisfaction is my first goal. Let's stay with my service and get your dream touch with me. Thanks, Habibullah B

@ShaikhAneesa

Hi there, I have thoroughly reviewed the project requirements for Comprehensive Business Data Curation and Mapping. With over 5000 business names across 12 CSV files, I understand the need to extract and curate accurate information, including owner details, email addresses, business addresses, and operational status. To handle your project, I will start with streamlining the data to meet your criteria, consolidating it into a Google Sheet, and verifying the accuracy of each entry. Utilizing web scraping tools and data validation techniques, I will update outdated information, confirm business details, and enrich the dataset with additional information such as social media handles and business descriptions. The deliverables for this project include a refined list of around 500 businesses meeting your specified criteria and a mapped layout for easy navigation. Before signing-off my bid, I would like to ask a question, i.e., how frequently do you envision needing updates on this curated business data? Warm Regards, Aneesa.

@MRashidTech335

Hi, I can assist you with 5000 Comprehensive Business Data Curation and Mapping, transforming your overwhelming 12 CSV files into a well-curated Google Sheet. My meticulous attention to detail will ensure I extract only the relevant information you need and remove any data you deem unimportant. I am also confident in managing large datasets, as I understand the challenge of filtering through thousands of entries and can easily identify false owners' names for verification. So why wait? Let's get started! Thank You!

@zafarfarooq612

Hello, I am a data research specialist who will consolidate your 12 CSV files into one Google Sheet, filter to locally owned businesses meeting your criteria, and add verified owner email, address, phone, social media, and description. Please share your files. I can start immediately. Regards, Zafar

@TheSecondSource

Hello! We can turn your 5,000 business records into a clean, verified, map-ready list of locally owned businesses you can actually visit. Here’s how we can help: - Filter 12 CSV files down to ~500 businesses matching your criteria (non-franchise, local, $95k–8M revenue, >1 FT employee, website or physical location) - Add and verify current address, phone, owner name, owner email (not generic info@), owner social media, business social media, and brief description - Confirm business is still operating, not a chain, and flag any ownership changes - Deliver one organized Google Sheet plus a mapped version for drive-by visits, sorted by area We are a team of 62 professionals with over 9 years of experience in data cleansing, web scraping, and business research. Confidentiality is guaranteed. A few questions: do you have a preferred geographic radius? Also, should we prioritize owner email validation over social media if conflicts arise? Happy to sign an NDA.

@ibnufatah92

Hi, I can help clean, verify, and enrich your 5,000-business dataset with a strong focus on accuracy and confidentiality. My process includes consolidating all 12 CSV files into a master Google Sheet, validating business status, ownership, addresses, phone numbers, websites, revenue range, employee count, and filtering out franchises/chains that don't meet your criteria. I will also research verified owner contacts, business and owner social profiles, business descriptions, and provide a final mapped list of qualified prospects. I’m comfortable handling ongoing data research projects and maintaining strict quality-control standards. Looking forward to discussing your requirements.

@larsenm2020

As a data enthusiast with extensive experience in Data Entry, Processing, Scraping and Web Scraping, I am well-equipped to tackle the challenges and complexities of your project. The task of curating a comprehensive business dataset like the one you have described wouldn't just be work for me; this is the type of project I truly enjoy diving into and seeing through to completion. My experience in data management and curation, combined with my penchant for problem-solving, makes me an ideal fit for your particular needs. From sorting and organizing large datasets to verifying and updating information, I've got the knowledge base and skill set to deliver results that adhere to your strict standards of confidentiality and accuracy. I will diligently comb through the 5000 businesses on your list, verifying their details and updating them accordingly. To make things more convenient for you, I can turn the final dataset into a Google Sheet, complete with all relevant business details mapped out for easier access during your visits. Additionally, I'm eager to establish an ongoing professional relationship with you as someone you can rely on for future tasks of similar nature and complexity. So let's get started!

@abdullahch333q

As a seasoned and meticulous data professional, I bring efficiency and reliability to your business data management. We can convert those unwieldy CSV files into a well-organized, comprehensive Google Sheet that meets your stringent requirements. Drawing from my experience in accurate data handling, I will pare down the business names to meet your specifications and ensure that they align with your particular parameters such as local ownership, revenue range, and staff size, among I will ascertain the current validity of your data by verifying it against contemporary sources. This entails checking addresses for any changes, confirming business's operational status, eliminating franchises and chains (unless they are local), validating phone numbers, and

@SkillCrafts

I understand you need to curate and enrich a dataset of 5000 businesses, similar to projects where I've automated entity resolution and data enrichment for large B2B contact lists, achieving a 95% accuracy rate for owner contact information. My approach will involve Python scripting with libraries like Pandas for initial data cleaning and manipulation. I'll employ a multi-stage verification process for owner names and emails, starting with proprietary B2B databases and cross-referencing with LinkedIn APIs and targeted web scraping for direct contact information, prioritizing individual emails over generic addresses. What are your primary sources for existing owner names, and do you have any specific criteria for "accurate" email addresses beyond avoiding generic ones? I’m available for a brief call to discuss how I can deliver this efficiently.

@Lincolnwhiz

No stranger to task of similar complexity, I've successfully extracted and curated massive data sets into organized Google sheets as well as incorporated functions similar to those you need. Moreover, my proficiency in Web Scraping and Web Search means that spotting and verifying those inaccuracies in business information will be second nature to me - just like ensuring data security throughout every stage of the process. What sets me apart is my intricate focus on accuracy and delivering sustainable solutions for long-term needs. This means that you can rely on the information I provide to be up-to-date, accurate and actionable even when it spans over several encounters. With our collaboration, I can save you not only time but also money ensuring a strong foundation for other analysis processes you might want to undertake later because the quality of my work is always high whilst still maintaining its scalability. Confidentiality being of utmost importance also gives you assurance because I've demonstrated an impeccable level of trustworthiness in my previous tasks. In all counts, my dedication to delivering 100% satisfaction combined with these specialised skills makes me the best freelancer for a project of this magnitude. Looking forward to discussing more about how we can strengthen and grow your venture through this comprehensive data curation journey!

@safdarkhali1

Hi there, Thank you for the detailed project overview. I can assist you in cleaning, verifying, and enriching your 5,000-business dataset with a strong focus on accuracy, structure, and confidentiality. My approach would start with consolidating all 12 CSV files into a single master Google Sheet, followed by data cleansing to remove irrelevant columns and standardize business names. I will then filter entries based on your criteria—excluding franchises, large corporations, and inactive businesses, while prioritizing locally owned companies within your revenue range. For the shortlisted businesses, I will verify operational status, update addresses, confirm phone numbers, and enrich records with publicly available data such as websites, social media profiles, and owner-related contact details where legitimately accessible. Each entry will also include a concise business description. Once refined to approximately 500 high-quality leads, I can further assist with geographic mapping for field visits. I prioritize accuracy, consistency, and data integrity throughout the process.

@SamChicquen

Samuel here. Built a B2B lead gen engine reaching 28,000 fresh leads per month, plus 15+ AI automation systems. I have handled messy business data, lead qualification, enrichment logic, and manual review workflows where accuracy matters more than volume. Past systems have saved 1,700+ hours across clients, and one qualification system filtered 58% of poor fit leads while keeping follow up under 60 seconds. For your 12 CSV files, I would first combine everything into one clean Google Sheet, remove unneeded columns, dedupe records, then verify each business against your criteria. I would use public web research and scraping to confirm operation status, address, website, phone, ownership signals, revenue range, local ownership, social profiles, owner name, owner email, and a short business description. The final deliverable would be a curated list of visit ready businesses, plus mapped sections so you can drive from location to location confidently. For owner emails, do you want me to prioritize confirmed personal owner emails only, or include a backup named decision maker when the owner email cannot be verified? Accuracy and confidentiality are exactly how I would approach this. I can build this in a way that gives you a clean, usable list instead of just a scraped database. Samuel

@Techroj

Dear Client, Greetings!! I have been coding in Python with AI/ML and Data Science for the past 7 years. My work includes building reliable ML and LLM-based products for solving complex business problems rather than hypothetical or experimental prototypes. I undersstand that this project requires much more than simple web scraping. It involves consolidating data from multiple CSV files, validating business information, identifying locally owned businesses that meet your criteria, verifying operational status, updating contact details, and enriching records with publicly available information such as websites and social profiles. I have previous experience handling data cleansing, business research, and large-scale data verification tasks where accuracy and confidentiality were critical. Just a few of questions: which geographical area do these businesses belong to, and do you have any preferred tools or format for the final mapped output?? I have worked on big tech platforms like Ncell and GL and have gained strong professional expertise through these experiences. I also collaborate with international clients through freelance platforms such as Fiverr and Upwork. Therefore, I hope you would give me an opportunity to contribute to this project. Best regards, Rojan Upreti

@osamak74

This is the kind of data cleanup and research work I can help with. You’ve got a messy mix of CSVs, outdated records, and details that need to be checked rather than trusted as-is, and that calls for careful Data Processing, Data Analysis, and Data Management. I’ve worked on projects where raw business data had to be cleaned, verified, and reshaped into something usable. For this one, I’d approach it in a practical way: reduce the files into one Google Sheet, remove what’s not useful, verify business status, address, phone, and website details, and then flag the records that meet your location and ownership filters. For owner contact details and social profiles, I’d rely on public sources and cross-check everything before adding it. Accuracy and confidentiality both matter here, especially if this will be used for in-person visits. If you’d like, I can help set up the process so the first batch is handled carefully, then we can keep using the same workflow for future research tasks. Osama

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom

@cuyodigital

I looked at your business data curation project and see you need to filter 5000 businesses down to ~500 that meet specific criteria (locally owned, $95k–$8M revenue, >1 employee, verified address/phone/email/website/social media, owner email addresses, business descriptions), consolidate 12 CSV files into one Google Sheet, map locations for in-person visits, and provide ongoing data support. With 5+ years of data research and cleansing experience and over 30 similar data enrichment projects completed, I have verified business information using web scraping, phone calls, website checks, and social media lookup. I can deliver the pared-down, verified sheet with mapping coordinates. You can see examples on my profile: https://www.freelancer.com/u/cuyodigital. Price is 200 USD based on 10 days. Do you have a specific geographic area (city, county, radius) for the businesses? Also, for owner email addresses, should I prioritize LinkedIn/company domain patterns or general search for direct contacts? ricardo

@jayantm76

─── ⚡⭐⋆☆⋆⭐⚡ ─── Hello, Jayant from Ontario. I’ve handled similar lead research projects where outdated business records had to be cleaned, verified, enriched, filtered, and turned into a practical visit list. My stack would be Google Sheets, Python, Pandas, Google Maps data, public website research, email verification tools, social profile checks, and structured QA review. So, I'll: Merge the 12 CSV files into one clean Google Sheet. Remove duplicates and filter businesses against your requirements. Verify active status, local ownership, address, phone, revenue range, and employee signals. Research owner names, business emails, websites, and social profiles from public sources. Create a mapped visit list by town area with clean notes and confidence status. Looking forward to discuss about project.

@Ritesh11gupta

With 5000 business names and 100 columns, I can help you organize your CSV files smoothly. I have a solid background in data processing and web scraping. What specific outcome do you hope to achieve with this data?