100K Company Database Build

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@leelakalidas32

As an experienced and adept Data & Automation Specialist, I specialize in leveraging the power of Python-based web scraping to collect, process, and organize massive amounts of data efficiently and accurately. Your project description around assembling a database of 100K companies meticulously resonates with my core skills. Over the years, I’ve developed automated scripts using tools like BeautifulSoup, Scrapy, Selenium that can scrape and compile information exactly as you require.

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Clean Database of 100,000 Companies from Yellow Pages & Google My Business ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for an experienced data-gathering developer. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data gathering. I will create a well-structured database of 100,000 companies, using automated tools and reliable sources to ensure accuracy. ➡️ Why Me? I can easily do your data-gathering project as I have 5 years of experience in web scraping, data validation, and database creation. My expertise includes Python scripting, data cleaning, and automation. Not only this, but I also have a strong grip on tools like BeautifulSoup, Scrapy, and Selenium, ensuring a thorough approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work, demonstrating my skills in building accurate databases. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Gathering ✅ Python Scripting ✅ Data Cleaning ✅ CSV Creation ✅ Email Validation ✅ Phone Number Verification ✅ Automated Tools ✅ Database Structuring ✅ Error Handling ✅ API Integration ✅ Project Management Waiting for your response! Best Regards, Zohaib

@mjanchi

Hello there, as you can see from my profile I have experience in similar projects. Please contact me and I will prepare a sample for you Thanks

@asifdwan

I can build a scalable data-collection workflow to assemble and clean a large business dataset while keeping the output structured for direct CRM import. The process would combine automated collection, normalization, deduplication, and validation to produce a UTF-8 CSV containing company details, location fields, contact channels, and website information in a consistent format. For quality control, the workflow can include duplicate detection, email and phone validation, standardized formatting, and reporting on coverage and data quality before delivery. I can also provide the collection scripts and a documented process so future refreshes or expansions remain straightforward and repeatable.

@tusharhossen123

Hi, I can do this project right now with 100% accuracy. If you need any sample please let me know. Thanks

@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

@devendrathakur12

Hello, I built many large scale web scraping and lead generation platforms similar before and I would love if I get the chance to work on your project. I can develop a scalable pipeline using Python, Scrapy, Selenium, BeautifulSoup, PostgreSQL, and automated validation tools to collect, deduplicate, and structure high quality business records into a clean UTF 8 CSV ready for CRM import. My focus will be on data quality, validation, and maintainable scraping workflows. One question I have is whether you already hold the necessary rights or licenses to collect and use data from Yellow Pages and Google Business Profiles for your intended CRM use case, or should the solution prioritize only openly licensed sources? Can we connect over a chat to discuss more about the project? Best regards, Dev Singh

@ayazakhtar75

Hello Client, This is completely possible, as I have extensive experience in large-scale web scraping, data gathering, Yellow Pages, Google My Business, open databases, Python (BeautifulSoup, Scrapy, Selenium), automated verification, duplicate removal, email/phone validation, and CSV export for CRM import. I am confident that I can help you assemble a clean, well-structured database of roughly 100,000 companies with company name, industry, state, city, ZIP, email, WhatsApp, phone, and website — delivered as a single UTF-8 CSV with ≥95% valid contacts and ≤1% duplicates. Would you mind sharing more details about the integration and the gestionale you are using? Thank you, Ayaz Akhtar

@mdreju

Hi, I read your project details carefully and understand you need around 100,000 company records collected from Yellow Pages, Google Business sources, and reputable open databases, then delivered as a clean UTF-8 CSV ready for CRM import. I can help build the dataset with company name, industry, state/region, city, ZIP/postal code, email, WhatsApp, phone number, and website URL. My focus will be on clean structure, duplicate removal, email/phone validation, and keeping the error rate as low as possible. My approach will be to use compliant data-gathering methods, Python-based scraping where allowed, public directories, open business datasets, and validation tools to clean and verify the records. I will also standardize fields, remove duplicates, validate contact details, and deliver the work in staged batches so you can review quality early. Suggested workflow: 1. Sample: 200–500 records for review 2. Batch 1: 25,000 records 3. Batch 2: 50,000 records 4. Final: 100,000 cleaned UTF-8 CSV I can start quickly and provide the first sample within 24 hours after confirming target country/region and industries. Best regards, Shahadat

@PINESCRIPTERR

Hi, I read your project "100K Company Database Build" and I can help with it. I would focus on backend structure, integrations, and reliable data flow. I noticed the relevant skills include Python Data Entry Web Scraping Data Mining Data Scraping Data Collection. My approach: 1. Review the current setup and confirm the exact requirements. 2. Implement the requested work in a clean, maintainable way. 3. Test the result and provide a clear handover with any setup notes needed. Clarification questions: 1. Which external services, APIs, or payment gateways need to be connected, and will test credentials be available? 2. What backend structure, database, user roles, and admin access should the implementation support? 3. What source systems, output fields, and validation rules should the automation or data flow follow? Best regards, Houssame

@rosscarter1011

Greetings! I hope you're fine as always. I'd be glad to help you in extracting and delivering the companies data in CSV format. I can assist you in gathering any data from any platform and compiling it into a structured format by BeautifulSoup and Selenium for the data extraction process and other Python libraries (like CSV, Numpy, Dajngo, and others) for storing and compiling them. My plan for your project is: 1) Initial Setup and Testing: This includes analyzing the website structure and setting up the scraper application. 2) Data Extraction: Running the application and doing the main data mining process with all data sources. 3) Data Cleaning and Deduplication: Checking the output and cleaning them from any extra data. 4) Output delivery: Delivering the final output. For starting our first collaboration, Let’s connect and discuss about your conditions and the project details. I'm a professional web scraper with expertise in Python web scraping tools (Selenium and BeautifulSoup), data analysis libraries (like Numpy, CSV, MySQL, and others), Git for version control, and automation with Python. Besides of my skills, I can deliver clean and precise results to give you a confidence about my work quality. Also, I have done related projects like lead generation, price monitoring, data collection, and content aggregation. I'm waiting to reach out now, so let’s get started.

@Sumyasuma

Hi, I have experience with large-scale lead generation and data collection projects. I can deliver a clean, validated, deduplicated CSV with accurate business contact details. Could you please confirm the target country and industries?

@hasan104

Hi, I have experience building large-scale data collection and automation solutions using Python, Scrapy, Selenium, and data-processing workflows. For this project, my approach would be to: * Gather company information from the approved sources you specify. * Clean and normalize the data into a consistent structure. * Remove duplicate companies using multiple matching criteria. * Validate email addresses and phone numbers using automated verification methods where appropriate. * Deliver a UTF-8 encoded CSV ready for CRM import. I prioritize clean, well-structured datasets and can provide progress updates throughout the project. Before starting, I'd like to confirm the target country/region and the exact data sources you'd like included so I can estimate the timeline accurately. Looking forward to discussing the project. Best regards, Hasan

@toriquldev123

Hello There! Hope you are doing fine. I have built large-scale scrapers for Yellow Pages, Google My Business, and other directories, extracting clean company data at scale. I will use Python with Scrapy, rotating proxies, and CAPTCHA handling to collect 100,000 records. I will then run automated verification: email validation, phone number formatting, duplicate removal, and industry classification. The final CSV will be UTF-8 encoded with all 10 fields, 95%+ validated emails/phones, and under 1% duplicates. Please start a chat to share your target countries and any specific fields. Best regards, Toriqul Islam.

@giaphung2k1

Hello I need more details about the job, but here is a template based on your request: It sounds like you need to automate your data collection to save time and ensure accuracy, rather than manually scraping sites. I have built custom scrapers for similar projects using Python and Playwright, specifically focusing on handling anti-bot measures and clean data output. I can get your data pipeline running efficiently by the end of this week. Are you available for a brief call to discuss your specific data sources? Giáp Văn Hưng

@demivision

Hi there, Thank you for outlining your requirements so clearly. We are Demivision LLC, a dedicated team with extensive experience in large-scale data gathering, web scraping, and CRM-ready database creation. We have successfully delivered similar projects involving the extraction and validation of substantial company datasets from platforms like Yellow Pages, Google My Business, and various public business registries. We fully understand the importance of not only collecting a comprehensive set of records, but also ensuring data accuracy, completeness, and deduplication. Your key fields—including contact information and business details—will be meticulously scraped, parsed, and standardized using Python-based scripts (leveraging BeautifulSoup, Scrapy, and Selenium where appropriate). For email and phone validation, we employ automated verification APIs to maximize deliverability and authenticity, and we use robust deduplication logic to meet your <1% duplicate threshold. To further enrich your database, we are prepared to supplement the core sources with reliable open datasets, always ensuring compliance with the platforms’ terms of service and local regulations. Each company entry will be validated against multiple data points to reduce errors and enhance quality. Our team is accustomed to handling high-volume data projects with a strong focus on confidentiality, efficiency, and transparent communication throughout the process. We are ready to tailor our workflow to your exact needs and can provide regular progress updates to ensure your confidence along the way. Please let us know if you have any specific preferences for target regions, business sectors, or additional data points, and feel free to ask any further questions. We look forward to collaborating with you to deliver a first-rate company database for your CRM.

@godesignpk

Hello, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, Data Entry, Web Scraping, Data Mining, Data Scraping, Data Collection Lets connect in chat so that We discuss further. Regards