Data Collection

@imraz2016

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

@tusharhossen123

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

@usmanbashir12100

Hi, I can compile and deliver a clean UTF-8 CSV containing 12,500 unique Brazilian company profiles filtered by your target states, sectors, and keywords, with validated contact information and all requested fields wherever publicly available. I have experience with large-scale web research, lead generation, data extraction, deduplication, and CSV preparation, ensuring accurate and organized prospecting data ready for immediate use. Available to start immediately and interested in supporting the additional 8 projects as well. Usman Bashir

@rosscarter1011

I've handled similar lead-generation and company data collection projects, including extracting, validating, and deduplicating business records from multiple public sources. One point I'd like to clarify: for companies where no email address is publicly available, is a verified WhatsApp/mobile number sufficient on its own, or would you prefer those records to be excluded entirely from the final dataset? I’d be happy to discuss the data validation process before getting started.

@Sumyasuma

Hi, I can complete this project and deliver a clean UTF-8 CSV containing 12,500 unique Brazilian company profiles from the specified states and sectors. thanks

@sn102a1k46

Dear Sir, I have carefully reviewed your requirements for building a high-quality CSV of Brazilian company profiles for commercial prospecting. With over 10 years of experience in data-driven web development and automation using Python, Node.js, and related technologies, I am well equipped to deliver a clean, deduplicated dataset according to your specifications. Here’s how my skills align with your project: - I have extensive experience in data extraction and processing from public directories and various online registries, including complex web scraping, automated data cleaning, and CSV formatting, ensuring accurate UTF-8 encoded delivery. - My background in both backend and data engineering (using Python, Pandas, and SQL) guarantees unique, sector-relevant company datasets matching your selected Brazilian states and target business sectors. - I am detail-oriented, ensuring that each company profile includes the required fields: business sector, geographic information, and verified contact details (email or WhatsApp), plus additional available data (CNPJ, website, social media). Looking forward to your response. Best regards, Nam

@chintu83

Hello there, I will provide you Brazilian Company Profiles for Commercial Prospecting have done similar work earlier for my many client's with 100% satisfaction, Let's initiate chat, I can start your project right now with 100% accuracy and within time deadlines. I am happy to provide you a sample work. Please let me know. Thank you.

@Mahdi0199

Hi there, I will start right now and be available 24/7 ... I can also give You a sample of your work before awarding to trust my accuracy and speed.. Also if you need it urgently, I can provide you with double speed as we are 2 professional freelancers Mahdi greetings

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience handling similar data extraction and prospecting list projects, and I'm available to start your project right now. I bring strong expertise in Python, Web Scraping, Data Processing, Data Mining, Data Extraction, CSV Cleaning, and public LinkedIn/company profile research. One of the key challenges in projects like this is ensuring that all 12,500 companies are located only in the requested Brazilian states, match the required sectors, and include either a valid email or WhatsApp/mobile number without duplicates. My approach would be to collect data from public Brazilian directories and registries, filter by state and business sector keywords, normalize company names, cities, phones, CNPJ and URLs, then remove duplicates using company name, CNPJ, website, email, and phone checks. I will deliver a clean UTF-8 CSV with the exact columns you requested. I have one quick question. • Do you want the 12,500 companies distributed evenly across the listed states/sectors, or is it acceptable as long as all records match the required locations and keywords? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@arslanshahid386

Hi there, I've read through your project details and it looks like you're looking for a comprehensive CSV file with 12,500 Brazilian company profiles for commercial prospecting. My approach would involve using various public data sources, like business directories and social media, to gather relevant and unique data based on the specified sectors and keywords. With 4+ years of experience in data collection and web scraping, I’m confident in my ability to deliver clean and organized data that meets your requirements. I’d love to ensure that the profiles are not only accurate but also relevant to your needs. One question I have is whether you have any specific preferences or additional keywords you’d like to prioritize within the listed sectors? Best regards, Arslan Shahid

@Wikimakerr

Hey! I have just read your project description that you are in search of a professional who can generate leads for you. I have a LinkedIn sales navigator account and different paid tools to generate the accurate data. I have a lot of experience in this field with over more than 8 years. I can provide you these details as per the budget decided: Contact Name / Contact Email / Designation / Company / General Email / Phone Number / Street Address / City / Country / Fax Number / Company LinkedIn Profile / Personal LinkedIn Profile / Number of Employees (Company Size) / Industry More details can be discussed over chat. Regards.

@Rashid8859

Hi, I can build a clean database of 12,500 Brazilian companies matching your target sectors and states, with verified contact details and deduplicated records. The final dataset will be delivered as a UTF-8 CSV file with all requested fields and quality checks completed.

@iterativeTech

With a formidable track record spanning several sectors including finance, healthcare, insurance, and enterprise environments, I am Primrose, a seasoned AI & Cloud Data Engineering pro who centralizes</SPAN> clients' data to drive optimal business outcomes. Tailored specifically to your project's scope, my extensive AI/ML and Cloud Data Engineering experience will considerably raise your commercial prospecting bar for Brazilian companies. Leveraging my end-to-end data solutions expertise holistic transformation process involving design and deployment of predictive models encompassing NLP, recommendation systems, Classifications forecasting and more, your consolidated 12 500 company profiles CSV will present unique, relevant and high-quality data. I am also adept at integrating with public site APIs such as LinkedIn/Facebook/Instagram/Twillio etc., for extraction/payment- channel contacting strategy optimization. Across my works is Quality guarantee: NO duplicates in profile selection; sector-relevant filtering; specific geographic zoning: only the required Brazilian states forming the foundation to delivery in clean, UTF-8 encoded CSV files structure you request such as 'clear column names'. My efficiency in these areas will not only drive costs down but ensure each profile aligns with your business objectives thus raising an unparalleled potential of ROI.

@haseebsidd07

Hi there, I understand the importance of obtaining comprehensive company profiles for commercial prospecting in Brazil. My proposal focuses on delivering a clean CSV file containing 12,500 company profiles, adhering strictly to your specified states and sectors, ensuring data accuracy and relevance. With over 6 years of experience in Python, data processing, web scraping, and data extraction, I am well-equipped to handle this project efficiently. I have successfully completed similar projects, ensuring that the data collected meets high quality and uniqueness standards. You can view my portfolio here: https://www.freelancer.com/u/haseebsidd07 I am confident that I can meet your requirements for this project and look forward to the opportunity to work with you on this and future projects. Thank you for considering my proposal. Regards, Abdul Haseeb Siddiqui

@artemb35

Hi there, You need a clean CSV file with 12,500 company profiles from specific Brazilian states for commercial prospecting. I specialize in data collection and can ensure the profiles are accurate and relevant to your specified business sectors and keywords. I recently completed a similar project where I sourced and organized data for a client, delivering over 10,000 profiles tailored to their requirements. This experience equips me to efficiently gather and validate the necessary information. Here’s how I will execute the project: - Identify companies using the specified sources and keywords. - Ensure data uniqueness and relevance to the listed sectors. - Format the CSV with clear column names as per your specifications. - Conduct a thorough quality check to eliminate duplicates and errors. I can deliver the final CSV file within 10 days. You can view my past work at freelancer.com/u/artemb35. What specific business sectors or keywords should I prioritize for the highest relevance? Looking forward to the opportunity to work together on this project!

@adnanmalik756

Hi, I see you need a comprehensive CSV file with 12,500 company profiles from specific Brazilian states for commercial prospecting. My approach would involve utilizing public web data and business directories to gather unique and relevant information, ensuring all data meets your requirements, including company name, business sector, and contact details. With 7+ years of experience in data collection and processing, I’ve honed my skills in web scraping and data mining, which will help me efficiently compile the required information while maintaining data quality and accuracy. I understand how important it is to have precise data for your prospecting needs. Could you clarify if there are any specific business sectors or keywords that are a higher priority for you?

@fatema0013

I am an experienced Python developer and data research specialist with expertise in web scraping, business directory research, data extraction, and lead database creation. I can build a clean CSV database of 12,500 Brazilian companies matching your required sectors and limited strictly to the specified states (SP, SC, PR, RS, MG, RJ, DF, and GO). I understand the importance of data quality and will ensure that all records are unique, relevant, and properly validated. My process includes: • Collecting data from public business directories and registries. • Filtering companies by state and target business sectors. • Extracting available emails, websites, phone numbers, CNPJ, LinkedIn, and Instagram profiles. • Removing duplicates and performing quality checks. • Delivering a structured UTF-8 CSV file with clear column headers. I can also use Python automation to efficiently gather and organize large datasets while maintaining accuracy and consistency. If the first project meets your expectations, I would be happy to support the additional 8 projects using the same structure and quality standards. Looking forward to working with you. Best regards, Fatema Islam Python Developer | Data Research & Lead Generation Specialist

@johnc150

✅Hi, How are you? I can help collect and validate the 12,500 Brazilian company profiles according to your exact geographic, sector, and data-quality requirements. Using Python-based data extraction, public business directories, company registries, and social/business profiles, I will build a clean UTF-8 CSV with deduplicated records and verified contact information. I have experience handling large-scale lead generation and data enrichment projects, including filtering by region, industry, and contact availability while maintaining high accuracy. The final dataset will be organized, quality-checked, and ready for commercial prospecting, with a sample provided for approval before full delivery. Best Regard, John