100K Company CSV Database

@mascotindia123

Hello, I have carefully reviewed your requirements, and it would be an honor to work with you on building a large-scale company database. With 14+ years of experience in data engineering, web scraping, and large dataset processing, I specialize in building scalable and compliant data pipelines using APIs, public datasets, and structured extraction methods. My approach would be to first identify reliable and legally compliant data sources such as public business registries, licensed datasets, and structured APIs, followed by building a scalable pipeline for collection, cleaning, normalization, and deduplication. For a dataset of this scale, I would strongly recommend an initial sample batch first so we can validate structure, accuracy, and schema alignment before scaling to full production. The data would be processed in stages with validation checks for emails, phone numbers, and websites to ensure quality and reduce invalid records before final aggregation into a UTF-8 CSV format. I will also ensure proper deduplication and consistent formatting across all fields including sector, location, and contact details. I am available to start immediately and can share a clear phased execution plan once we finalize sources and quality expectations. Warm Regards, Harpreet Singh

@ZohaibRoy

⭐⭐⭐⭐⭐ Create Accurate Company Profiles in a CSV Format for You ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you're looking for a comprehensive CSV of 14 million company profiles. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for data compilation. I will use reliable web scraping, public registries, and APIs to gather the required data efficiently. ➡️ Why Me? I can easily create your extensive CSV file as I have 5 years of experience in data collection and management, specializing in web scraping, data validation, and API integration. Not only this, but I also have a strong grip on data cleaning and formatting to ensure accuracy and freshness. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Compilation ✅ CSV Formatting ✅ Data Validation ✅ API Integration ✅ Data Analysis ✅ Quality Assurance ✅ Python Programming ✅ Database Management ✅ Data Cleaning ✅ Project Management ✅ Communication Skills Waiting for your response! Best Regards, Zohaib

@Junaid221

Hi. I already have a 100k data file. All decision makers data. I can send you a sample also. Lets discuss. Junaid

@intelliresponse

As an experienced and skilled Python developer with a special flair for web scraping and data mining, I am your best choice to complete this project efficiently. Throughout my 13+ years of providing tailored solutions, I have conducted numerous similar projects – compiling large amounts of accurate data from publicly available sources – and my clients have consistently praised my attention to detail. My data-gathering approach, in line with your project's needs, would be multi-faceted, leveraging on web scraping technologies, public registries as well as APIs or existing datasets where appropriate. In addition, my broad knowledge in Python-based programming will enable me to ensure the accuracy and freshness of the compiled contact data. Having completed projects like Car rental website development and AI emergency caller using Vapi and Twilio', I understand the value of not just getting the job done but delivering it in a format that makes it useful for you. You can expect a clean, UTF-8 encoded CSV file that is ready for immediate import once you hand over the job to me. Quality is absolutely paramount, so rest assured that rigorous spot-checks will be performed by me before final delivery. I am capable of starting ASAP. Let us take your project forward; contact me!

@marjanahmed13

Hi! My name is Marjan and I'm here to offer you my services as a skilled applicant with over a decade of experience working on Freelancer.com. I believe I am the best fit candidate for this project due to my extensive experience; I would like to have a discussion to get to know that we both are on the same page. Once the scope will be locked, I will start working on it right away.

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@mohjib092

Hi there, i am lead generation expert and hub , i willing to start work once i got target domain , please come to the chat box so we can easily discuss in details, Thank You

@rbtech1984

Hi There!!! ★★★★ (Large scale 100K company CSV database creation with verified public data sourcing & clean export) ★★★★ Project understanding: you need 100,000 company records in a clean CSV with full contact details like email, phone, WhatsApp, website, location and industry. Accuracy is very important and you want sample first before full delivery. Services: ⚜ Web scraping & public data collection from trusted sources ⚜ Data mining using APIs and business directories ⚜ Data cleaning, deduplication and formatting ⚜ Structured CSV creation with required fields ⚜ Contact validation (email/phone formatting checks) ⚜ Sample dataset delivery before full project ⚜ Final UTF-8 CSV export ready for import I am data engineer with experience in large scale scraping and dataset building. I work with automation scripts and handle bulk data projects, sometimes data needs extra cross checking but I ensure quality. Approach: I will build scraping system using Python/PHP, gather data from permitted sources, clean & validate, then provide sample first and full dataset after approval. Can start quickly and share first sample soon. Warm Regards, Farhin B.

@mdreju

Hi, I read your project details carefully and understand you need around 100,000 company profiles collected from publicly available and commercially usable sources, delivered as a clean UTF-8 CSV. I can help compile the required fields: company name, business sector, WhatsApp, telephone, email, website, state, and city. My focus will be on clean formatting, duplicate removal, source checking, and preparing the file so it is ready for import. My approach will be to collect data from public business directories, company websites, registries, APIs, and legally accessible datasets, then clean and validate the records before delivery. I will remove duplicates, standardize fields, check email/phone formatting, and deliver the database in staged batches so you can review quality early. Suggested workflow: 1. Initial sample: 100–200 records for review 2. First batch: 10,000 records 3. Mid delivery: 50,000 records 4. Final delivery: 100,000 cleaned records in UTF-8 CSV I can start immediately and provide the first sample within 24 hours. Estimated completion time depends on target country/region and source availability, but I can work in fast phased delivery. Best regards, Shahadat

@trm66614

Hi there! I can deliver a clean UTF-8 CSV with 14 million company profiles, using a reliable mix of web scraping, public registries, and APIs to meet accuracy needs. I will implement robust data management, data integration, and data cleansing workflows to keep the data fresh and licenced for commercial use. A staged approach gives you a first sample quickly, then full delivery in clearly defined milestones. Data fields will include Company name, business sector, WhatsApp, Telephone, Email, Website, State, and City, with ongoing QA via random spot checks. The final CSV will be UTF-8 encoded and ready for import, with a scalable pipeline for future updates. I’ll share data sources, quality checks, and a clear data-gathering plan you can review quickly. Which data sources should we prioritize for the initial sample, and are there licensing constraints we must honor for commercial use? Best regards

@Hrolgar

A hundred thousand company profiles from public sources is scriptable. Most of the actual work is dedup. Merge two data sources without a normalization pass and you end up with 40K duplicates hiding under slightly different name formats and country codes. My setup: pull from 2-3 complementary sources, normalize on the way in (company name, domain, country as the primary dedup keys), fuzzy-match pass at the end to catch near-duplicates. I'd send you a 2,000-row sample before running the full pull so you can confirm the fields are what you actually want. One deliverable: clean CSV, around 100K deduplicated company profiles, 5 days. 250 EUR is an indicative estimate from the brief. I'll confirm the exact number once I know which fields and geography you're targeting. Which industries and regions are you after?

@temoberishvili

Hello, I see you need a CSV file that consolidates around 14 million company profiles from public sources. To tackle this, I would employ web scraping techniques using PHP and relevant libraries to collect the data efficiently. Data processing will be crucial to clean and format the information before compiling it into the CSV. I can also implement a strategy to handle any rate limiting or anti-scraping measures that might come into play. I'd start by setting up a scraping script to gather data from reliable sources, followed by processing that data to ensure accuracy and completeness. Q1: Which specific data points are essential for each company profile? Q2: Are there any particular sources you prefer for gathering this data? Q3: What is your timeline for completing this project? Let me know how you’d like to proceed.

@revival786

Greetings! I will compile a CSV of 14 million company profiles from public sources with company name, sector, WhatsApp, telephone, email, website, state, and city. I will use web scraping, public registries, and APIs with commercial licensing. I will deliver a clean UTF 8 CSV. I will send a sample first. Send your target sectors and regions. Thanks, Revival

@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

@XRProConnect

Hi, Aashiq (Ash) here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you looking for a single CSV with 100,000 company profiles, focusing on accuracy and freshness. My experience in helping businesses increase sales through data-driven strategies positions me well for this project. I can provide samples of successful projects upon request. Based on what you mentioned, here is how we would approach the project: - Utilize web scraping and APIs for comprehensive data collection - Implement quality checks for accuracy assurance - Deliver the final UTF-8 encoded CSV within the specified timeframe Rest assured, clear communication and a user-focused approach are guaranteed for optimal performance. Best Regards, Aashiq

@DigitalNightOwl8

Hi , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Web Search, Data Collection, Data Processing, PHP, Data Scraping, Data Entry, Data Management, Data Mining, Web Scraping and Data Integration. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Feel free to contact us to discuss your project

@mahads31

For a project of this scale, leveraging a mix of web scraping and existing datasets is key. I can utilize various APIs, public registries, and scraping techniques to ensure accuracy and freshness, while keeping licensing in mind. My data-gathering approach involves initial scraping for key company information, followed by cross-referencing with reliable sources for validation. I typically set up a multi-phase process to handle large volumes efficiently. The first sample can be available within 7 days, with the full dataset ready for delivery in about 2-3 weeks. I can provide a clean, UTF-8 encoded CSV for easy import, and I’m ready to start immediately. Let’s discuss any specific requirements you have for the dataset. Best Regards,

@rezamahi

Hello, I can assist with consolidating and preparing your existing company database into a single, clean, import-ready CSV. My approach includes: • Merging all source datasets into one master file. • Removing duplicate companies while preserving the most complete contact information. • Standardizing company names, business sectors, cities, states, phone numbers, emails, websites, and WhatsApp fields. • Detecting and correcting formatting inconsistencies. • Running automated validation checks to identify invalid emails, broken websites, and incomplete records. • Delivering a UTF-8 encoded CSV structured exactly to your required schema. The final dataset will include: * Company Name * Business Sector * WhatsApp * Telephone * Email * Website * State * City Before processing the full database, I can provide a sample output from a subset of the records so you can review the quality and formatting. Once approved, I will complete the full dataset and perform final QA checks to ensure consistency and accuracy. I can start immediately. Please share a sample file, total record count, and the current format of the data so I can confirm the timeline and deliverables.

@Georgeoustar

Hi, This project requires more than collecting records. The main challenge is building a large scale company dataset that is structured, deduplicated, commercially usable, and accurate enough to pass random verification checks. I have experience with large data collection projects, web scraping, API based extraction, data enrichment, cleaning, deduplication, and CSV preparation. Similar projects have involved building business directories, extracting company details from multiple sources, validating contact fields, normalizing industry categories, and preparing import ready datasets. For this project, I would combine reliable public sources and permitted datasets, process the information through validation and cleanup steps, remove duplicates, standardize fields, and deliver a UTF 8 CSV with the required columns. I would also provide an initial sample batch for quality review before completing the full dataset. Best regards, George