Web Scraping Project: Find Verified Business Emails for 11,440 Plumbing Contractors (Excel Dataset)

@imraz2016

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

@ZohaibRoy

⭐⭐⭐⭐⭐ Find Verified Emails for California Plumbing Contractors Efficiently ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a data scraping specialist to enrich your contractor dataset. You have no need to look any further; Zohaib is here to help you! My team has successfully handled 50+ similar projects in lead enrichment. I will locate verified business email addresses and integrate them into your existing dataset using efficient methods. ➡️ Why Me? I can easily do your email enrichment for the 11,440 plumbing contractors as I have 5 years of experience in data scraping, email verification, and data enrichment. My expertise includes web scraping, data extraction, and using various verification tools. Additionally, I have a strong grip on automation tools and Python scripting, ensuring a streamlined process for your project. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Data Scraping ✅ Email Verification ✅ Web Research ✅ Excel Data Management ✅ Python Scripting ✅ API Integration ✅ Data Extraction ✅ Google Business Research ✅ Directory Listings ✅ Automation Tools ✅ Accuracy Checking ✅ Data Enrichment Waiting for your response! Best Regards, Zohaib

@farhanyoussef18

PLUMBING DATA. Youssef, Full-Time Freelancer with Python Programming expertise in web scraping, automation, and data extraction. I understand you need to locate verified business email addresses for 11,440 plumbing contractors from your Excel dataset, accurately appending them along with SourceURLs. Your requirement to search using BusinessName, BUS-NAME-2, or FullBusinessName, and to gather emails from various sources like company websites, Google, and Yelp, is perfectly aligned with my capabilities. I'll develop robust Python scripts using Playwright and Scrapy to automate this complex workflow, ensuring dynamic content is handled and emails are verified with an EmailVerificationStatus and a precise SourceURL, just as you outlined. I have successfully completed numerous similar data enrichment and web scraping projects, always focusing on high accuracy and verifiable data. I am ready to help you achieve your data goals efficiently.

@paulmd369

Excel dataset containing approximately 11,440 licensed plumbing contractors in California (C-36 classification). to locate verified business email addresses associated with these contractors and append them to the spreadsheet.

@justmian876

With an extensive background in data scraping and lead enrichment, my team at BN-Droids Digital Services is perfectly positioned to tackle your project. Over the last five years, we've honed our expertise in this exact area, guaranteeing superior results. I have personally overseen extraction and verification processes similar to yours, which involved handling millions of data entries across various sectors on a daily basis.

@asifdwan

With years of experience as a web-scraping specialist, extracting even from websites with advanced anti-bot protection, I'm confident I can provide you with exactly what you need for this project. Using my skills in Python (Selenium, BeautifulSoup, Requests) and my familiarity with tools like Excel and Google Sheets, I can clean, structure, and verify the data you need without compromising quality. Further, having been in the industry for so long; I have developed the capacity to automate tasks at scale which will work efficiently for your huge dataset containing 11,440 records.

@techplusintl

Hi there, I will extract verified business email addresses from the provided dataset using automated scraping tools. The final output will include an updated Excel file with all original data and new columns populated with emails and source URLs. Deliverables: - Updated Excel spreadsheet containing all original rows. - Newly added columns populated as described above. - Verified email addresses with source URLs. What email verification method do you prefer?

@intelliresponse

As an extensive player in the world of Customized Python Web Automation, Data Mining, and Extraction, I'm well-equipped to tackle your web scraping needs. With over 13 years of experience developing bespoke Python solutions for clients globally, I've amassed a deep understanding of the tools you need for this large-scale data project. ✅ Scraping Savvy: From crawling through pages for larger datasets to reliable email verification services, I've mastered it all. I can employ my expertise to automate a comprehensive search for each plumbing contractor, including from Google Business/Maps listings, Yelp listings, BBB directories, etc. My automation prowess also extends to capturing the specific SourceURL where the email is found - a critical quality requirement on your list. ✅ Tools & Technologies: From Python's Scrapy and Selenium to quality data verification services and cloud solutions like AWS or Firebase, I promise to utlise the best resources for your task ahead. At this point, what can be assured is that as you've presented a structured dataset suited for automation which suits best when developed in python together with my decade-old experience makes it obvious that we are best suited for each other's needs.

@Rekhathakur

Hello, With a decade's experience in crafting bespoke software products and my proficiency in Python, I assure you of my ability to carry out the task at hand efficiently and effectively. My speciality in Web Scraping and Software Architecture ensures the right tools are used for this project, enhancing the accuracy and speed of the job. Given your precise Dataset, it's important we work meticulously to identify pertinent business websites and derive relevant contact email addresses through authorized sources. I always prioritizes data authenticity, adhering strictly to your 'source URL' requirement ensuring every email appendage is verifiable. Secondly, the verification process will be conducted using only reputable means, assuring reliability of output. Finally, my experience in maintaining data integrity and security constructs trust in the final output . I am sure we can add value to your business by aligning our goals with your "transform operational efficiency, deliver new products to market" needs. Let us discuss further on how we guarantee desired results. With Regards!

@jinufeb14

With more than #6555 ranked in freelancer, I've proven myself to be in the top 1% of freelancers. My forte lies in leveraging unique engineering solutions and cloud-based technology to create efficient, scalable systems that ensure accurate results. I specialize in a range of services, from data collection and mining to analysis and scraping, all thanks to my strong knowledge in Python and software architecture. For tackling projects just like this one, my experience is unmatched. Having accomplished numerous web scraping projects before, I've mastered the art of extracting and enriching relevant datasets from various platforms such as Google, Yelp and Better Business Bureau listings. By meticulously verifying each extracted email through reputable tools, I ensure utmost authenticity. Moreover, by including source URL for each email found, I can guarantee complete transparency in my work. Lastly, as an automation-friendly virtual assistant who is comfortable with mundane repetitive tasks as well as complex challenges- rest assured that your dataset will be processed efficiently, accurately, and on time. For your plumbing contractor contact information enrichment task - my profound expertise in data analysis combined with a strong background in cloud technology can guarantee the most accurate results even for such a large-scale project. I am ready to accept this project and make it a resounding success.

@salmaakternisa

Ensuring that your project is handled with precision, professionalism, and thoroughness defines my approach. As a seasoned B2B lead generation specialist with over 6 years of experience, I've obtained exceptional skills in data analysis, collection, mining and my specialty - web scraping. My highly precise approach to data gathering will be paramount in obtaining verified business emails for each of the 11,440 plumbing contractors in your excel dataset. My core advantage lies in automating data-driven tasks efficiently. This translates into an automated enriching process where each contractor record undergoes careful scrutiny throughout various reputable sources to ensure we find verified email addresses. From official company websites to industry listings like BBB, online directories like Google Maps, and even business review sites like Yelp, I leave no stone unturned in harnessing quality leads. Notably, validating the sourced email addresses is crucial to eliminate any guessed or purchased emails. That's why I'm versed in using professional verification tools to ensure the authenticity and improve the quality of the dataset. I am familiar with SMTP as well as other robust verification methods. Additionally, I understand the importance of maintaining the integrity of your data; thus, I guarantee the SourceURL column will contain verifiable pages where I found every single email. So let's generate authentic leads together!

@HiraMahmood4072

Hello, I have over 7 years of experience in Data Collection, Web Scraping, Data Scraping, Python, Data Mining, and Scrapy. I have carefully read the requirements for the project. To complete this project, I will utilize automated scraping tools to identify official business websites associated with each contractor. By cross-referencing the BusinessName, BUS-NAME-2, and FullBusinessName fields, I will search for public contact email addresses from sources such as official company websites, Google Business listings, Yelp, and industry directories. Each email address will be verified using a reputable verification method, and the source URL will be recorded for authenticity. I am well-equipped to handle the automation-friendly dataset and ensure accurate data enrichment. I propose to use Python scripts for efficient scraping workflows and aim to deliver the updated Excel spreadsheet with verified email addresses and source URLs within the specified timeline. Let's discuss further details in chat for a comprehensive understanding of your requirements. You can visit my Profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Lead Generation, Data Analysis, Python, Web Scraping, Scrapy, Software Architecture, Selenium, Data Mining, Data Scraping and Data Collection. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@temoberishvili

Hello there, I’ve handled large-scale data enrichment projects similar to this, including contractor and service-based business datasets. For 11,000+ California C-36 plumbing contractors, I can develop an automated pipeline using Python (BeautifulSoup, Scrapy, and Google API) integrated with an email verification API such as NeverBounce or ZeroBounce. The workflow will: • Identify the contractor’s correct business name (BusinessName / BUS-NAME-2 / FullBusinessName). • Extract verified emails from official domains, Google Business, Yelp, BBB, and other directories. • Append verified data with complete source URLs, website links, and verification status to your spreadsheet. I’ll ensure each email is traceable and compliant with your authenticity standards—no guessed or AI-generated data. Expected accuracy: 50–70% verified matches. Delivery within 5–7 days, depending on data quality of the input file.

@hdlan

Hi, I am a highly experienced professional from Vietnam, specializing in data entry and web research. I’d be happy to help you gather contact details from publicly available sources. I can handle projects of any size, starting with an initial batch of 1,000 leads. I have prepared a sample for you to review the quality of my work. Let's talk! Duong

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack & AI Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Web Scraping Project: Find Verified Business Emails for 11,440 Plumbing Contractors (Excel Dataset) . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@johnallenvillan1

Hi, PLUMBING DATA. I see you’re working with 11,440 California C‑36 contractor records and need verified business emails with strict source‑URL proof. I’ve handled similar large‑scale enrichment tasks, including a 15k‑record contractor dataset where I achieved 52% verified email coverage using automated domain discovery and multi‑source extraction. I know the real challenge isn’t scraping, it’s correctly mapping contractors who operate under DBAs and ensuring the search names align with their public identity. Without that, automation returns false domains or mismatched business listings. I’ll build a Python workflow using Scrapy and API‑based verification. I’ll generate structured search queries, identify correct domains, extract public emails from websites and directories, and log exact source URLs. Verified statuses will be appended using SMTP‑level checks. I’ll run a small pipeline test on your 200‑record sample to calibrate coverage rates and ensure naming logic aligns with your expectations. Next steps: once I receive your sample file, I’ll deliver the initial test output within 24 hours. Best regards, John allen.

@anowarbss

Hi, There I can collect 11440 Verify Emails first I will send 200 batch for verify with all details • License Number • BusinessName • BUS-NAME-2 (DBA name, if present) • FullBusinessName • Mailing Address • City • State • Phone Number • License Status • Bond information Best Regards Anowar

@Azursol

Dear Client, I am a seasoned data scraping specialist with a proven track record in lead enrichment projects. I understand the importance of finding verified business email addresses efficiently and accurately. My approach involves utilizing automated scraping tools and reputable verification methods to ensure data authenticity. By leveraging sources such as official websites, Google Business listings, and industry directories, I will enrich the dataset of 11,440 plumbing contractors with verified email addresses and corresponding source URLs. I guarantee reliable delivery within the specified timeline and prioritize clear communication throughout the project. I am eager to discuss your project further and showcase my expertise in data enrichment. Looking forward to collaborating with you on this valuable endeavor. Best regards,